id	sid	tid	token	lemma	pos
aps-38	1	1	australian	australian	ADJ
aps-38	1	2	population	population	NOUN
aps-38	1	3	studies	study	NOUN
aps-38	1	4	2018	2018	NUM
aps-38	1	5	|	|	ADV
aps-38	1	6	volume	volume	NOUN
aps-38	1	7	2	2	NUM
aps-38	1	8	|	|	NOUN
aps-38	1	9	issue	issue	NOUN
aps-38	1	10	2	2	NUM
aps-38	1	11	|	|	NOUN
aps-38	1	12	pages	page	VERB
aps-38	1	13	33	33	NUM
aps-38	1	14	-	-	SYM
aps-38	1	15	58	58	NUM
aps-38	1	16	©	©	PROPN
aps-38	1	17	dennett	dennett	PROPN
aps-38	1	18	2018	2018	NUM
aps-38	1	19	.	.	PUNCT
aps-38	2	1	published	publish	VERB
aps-38	2	2	under	under	ADP
aps-38	2	3	the	the	DET
aps-38	2	4	creative	creative	ADJ
aps-38	2	5	commons	common	NOUN
aps-38	2	6	attribution	attribution	NOUN
aps-38	2	7	-	-	PUNCT
aps-38	2	8	noncommercial	noncommercial	ADJ
aps-38	2	9	licence	licence	NOUN
aps-38	2	10	3.0	3.0	NUM
aps-38	2	11	australia	australia	NOUN
aps-38	2	12	(	(	PUNCT
aps-38	2	13	cc	cc	NOUN
aps-38	2	14	by	by	ADP
aps-38	2	15	-	-	PUNCT
aps-38	2	16	nc	nc	PROPN
aps-38	2	17	3.0	3.0	NUM
aps-38	2	18	au	au	NOUN
aps-38	2	19	)	)	PUNCT
aps-38	2	20	.	.	PUNCT
aps-38	3	1	journal	journal	PROPN
aps-38	3	2	website	website	NOUN
aps-38	3	3	:	:	PUNCT
aps-38	3	4	www.australianpopulationstudies.org	www.australianpopulationstudies.org	X
aps-38	3	5	an	an	DET
aps-38	3	6	introduction	introduction	NOUN
aps-38	3	7	to	to	ADP
aps-38	3	8	modelling	model	VERB
aps-38	3	9	population	population	NOUN
aps-38	3	10	flows	flow	NOUN
aps-38	3	11	using	use	VERB
aps-38	3	12	spatial	spatial	ADJ
aps-38	3	13	interaction	interaction	NOUN
aps-38	3	14	models	model	NOUN
aps-38	3	15	adam	adam	PROPN
aps-38	3	16	dennett	dennett	PROPN
aps-38	3	17	*	*	PROPN
aps-38	3	18	university	university	PROPN
aps-38	3	19	college	college	NOUN
aps-38	3	20	london	london	PROPN
aps-38	3	21	*	*	PUNCT
aps-38	3	22	corresponding	correspond	VERB
aps-38	3	23	author	author	NOUN
aps-38	3	24	.	.	PUNCT
aps-38	4	1	email	email	NOUN
aps-38	4	2	:	:	PUNCT
aps-38	5	1	a.dennett@ucl.ac.uk	a.dennett@ucl.ac.uk	ADJ
aps-38	5	2	.	.	PUNCT
aps-38	6	1	address	address	NOUN
aps-38	6	2	:	:	PUNCT
aps-38	6	3	bartlett	bartlett	PROPN
aps-38	6	4	centre	centre	PROPN
aps-38	6	5	for	for	ADP
aps-38	6	6	advanced	advanced	ADJ
aps-38	6	7	spatial	spatial	ADJ
aps-38	6	8	analysis	analysis	NOUN
aps-38	6	9	,	,	PUNCT
aps-38	6	10	university	university	NOUN
aps-38	6	11	college	college	PROPN
aps-38	6	12	london	london	PROPN
aps-38	6	13	,	,	PUNCT
aps-38	6	14	gower	gower	PROPN
aps-38	6	15	street	street	PROPN
aps-38	6	16	,	,	PUNCT
aps-38	6	17	london	london	PROPN
aps-38	6	18	,	,	PUNCT
aps-38	6	19	wc1e	wc1e	PROPN
aps-38	6	20	6bt	6bt	NOUN
aps-38	6	21	,	,	PUNCT
aps-38	6	22	uk	uk	PROPN
aps-38	6	23	paper	paper	NOUN
aps-38	6	24	received	receive	VERB
aps-38	6	25	18	18	NUM
aps-38	6	26	april	april	PROPN
aps-38	6	27	2018	2018	NUM
aps-38	6	28	;	;	PUNCT
aps-38	6	29	accepted	accept	VERB
aps-38	6	30	10	10	NUM
aps-38	6	31	may	may	PROPN
aps-38	6	32	2018	2018	NUM
aps-38	6	33	;	;	PUNCT
aps-38	6	34	published	publish	VERB
aps-38	6	35	12	12	NUM
aps-38	6	36	november	november	PROPN
aps-38	6	37	2018	2018	NUM
aps-38	6	38	abstract	abstract	ADJ
aps-38	6	39	background	background	NOUN
aps-38	6	40	spatial	spatial	ADJ
aps-38	6	41	interaction	interaction	NOUN
aps-38	6	42	models	model	NOUN
aps-38	6	43	have	have	AUX
aps-38	6	44	been	be	AUX
aps-38	6	45	used	use	VERB
aps-38	6	46	for	for	ADP
aps-38	6	47	decades	decade	NOUN
aps-38	6	48	to	to	PART
aps-38	6	49	explain	explain	VERB
aps-38	6	50	and	and	CCONJ
aps-38	6	51	predict	predict	VERB
aps-38	6	52	flows	flow	NOUN
aps-38	6	53	(	(	PUNCT
aps-38	6	54	of	of	ADP
aps-38	6	55	migrants	migrant	NOUN
aps-38	6	56	,	,	PUNCT
aps-38	6	57	capital	capital	NOUN
aps-38	6	58	,	,	PUNCT
aps-38	6	59	traffic	traffic	NOUN
aps-38	6	60	,	,	PUNCT
aps-38	6	61	trade	trade	NOUN
aps-38	6	62	etc	etc	X
aps-38	6	63	.	.	X
aps-38	6	64	)	)	PUNCT
aps-38	6	65	between	between	ADP
aps-38	6	66	geographic	geographic	ADJ
aps-38	6	67	locations	location	NOUN
aps-38	6	68	.	.	PUNCT
aps-38	7	1	aims	aim	VERB
aps-38	7	2	this	this	DET
aps-38	7	3	paper	paper	NOUN
aps-38	7	4	will	will	AUX
aps-38	7	5	guide	guide	VERB
aps-38	7	6	users	user	NOUN
aps-38	7	7	through	through	ADP
aps-38	7	8	the	the	DET
aps-38	7	9	process	process	NOUN
aps-38	7	10	of	of	ADP
aps-38	7	11	fitting	fitting	ADJ
aps-38	7	12	and	and	CCONJ
aps-38	7	13	calibrating	calibrate	VERB
aps-38	7	14	spatial	spatial	ADJ
aps-38	7	15	interaction	interaction	NOUN
aps-38	7	16	models	model	NOUN
aps-38	7	17	in	in	ADP
aps-38	7	18	order	order	NOUN
aps-38	7	19	to	to	PART
aps-38	7	20	understand	understand	VERB
aps-38	7	21	,	,	PUNCT
aps-38	7	22	explain	explain	VERB
aps-38	7	23	and	and	CCONJ
aps-38	7	24	predict	predict	VERB
aps-38	7	25	internal	internal	ADJ
aps-38	7	26	migration	migration	NOUN
aps-38	7	27	flows	flow	NOUN
aps-38	7	28	in	in	ADP
aps-38	7	29	australia	australia	PROPN
aps-38	7	30	.	.	PUNCT
aps-38	8	1	data	datum	NOUN
aps-38	8	2	and	and	CCONJ
aps-38	8	3	methods	method	NOUN
aps-38	8	4	internal	internal	ADJ
aps-38	8	5	migration	migration	NOUN
aps-38	8	6	data	datum	NOUN
aps-38	8	7	from	from	ADP
aps-38	8	8	the	the	DET
aps-38	8	9	australian	australian	ADJ
aps-38	8	10	2011	2011	NUM
aps-38	8	11	census	census	NOUN
aps-38	8	12	of	of	ADP
aps-38	8	13	population	population	NOUN
aps-38	8	14	and	and	CCONJ
aps-38	8	15	housing	housing	NOUN
aps-38	8	16	,	,	PUNCT
aps-38	8	17	which	which	PRON
aps-38	8	18	records	record	VERB
aps-38	8	19	people	people	NOUN
aps-38	8	20	who	who	PRON
aps-38	8	21	have	have	AUX
aps-38	8	22	moved	move	VERB
aps-38	8	23	between	between	ADP
aps-38	8	24	greater	great	ADJ
aps-38	8	25	capital	capital	NOUN
aps-38	8	26	city	city	NOUN
aps-38	8	27	statistical	statistical	ADJ
aps-38	8	28	areas	area	NOUN
aps-38	8	29	over	over	ADP
aps-38	8	30	5	5	NUM
aps-38	8	31	-	-	PUNCT
aps-38	8	32	year	year	NOUN
aps-38	8	33	periods	period	NOUN
aps-38	8	34	,	,	PUNCT
aps-38	8	35	is	be	AUX
aps-38	8	36	used	use	VERB
aps-38	8	37	to	to	PART
aps-38	8	38	exemplify	exemplify	VERB
aps-38	8	39	the	the	DET
aps-38	8	40	modelling	modelling	NOUN
aps-38	8	41	process	process	NOUN
aps-38	8	42	.	.	PUNCT
aps-38	9	1	the	the	DET
aps-38	9	2	r	r	NOUN
aps-38	9	3	statistical	statistical	ADJ
aps-38	9	4	software	software	NOUN
aps-38	9	5	is	be	AUX
aps-38	9	6	used	use	VERB
aps-38	9	7	to	to	PART
aps-38	9	8	process	process	VERB
aps-38	9	9	and	and	CCONJ
aps-38	9	10	visualise	visualise	VERB
aps-38	9	11	the	the	DET
aps-38	9	12	data	datum	NOUN
aps-38	9	13	as	as	ADV
aps-38	9	14	well	well	ADV
aps-38	9	15	as	as	ADP
aps-38	9	16	run	run	VERB
aps-38	9	17	the	the	DET
aps-38	9	18	models	model	NOUN
aps-38	9	19	.	.	PUNCT
aps-38	10	1	results	result	VERB
aps-38	10	2	the	the	DET
aps-38	10	3	full	full	ADJ
aps-38	10	4	suite	suite	NOUN
aps-38	10	5	of	of	ADP
aps-38	10	6	wilson	wilson	PROPN
aps-38	10	7	’s	’s	PART
aps-38	10	8	family	family	NOUN
aps-38	10	9	of	of	ADP
aps-38	10	10	spatial	spatial	ADJ
aps-38	10	11	interaction	interaction	NOUN
aps-38	10	12	models	model	NOUN
aps-38	10	13	is	be	AUX
aps-38	10	14	fitted	fit	VERB
aps-38	10	15	to	to	ADP
aps-38	10	16	the	the	DET
aps-38	10	17	internal	internal	ADJ
aps-38	10	18	migration	migration	NOUN
aps-38	10	19	data	datum	NOUN
aps-38	10	20	,	,	PUNCT
aps-38	10	21	revealing	reveal	VERB
aps-38	10	22	that	that	DET
aps-38	10	23	distance	distance	NOUN
aps-38	10	24	and	and	CCONJ
aps-38	10	25	origin	origin	NOUN
aps-38	10	26	/	/	SYM
aps-38	10	27	destination	destination	NOUN
aps-38	10	28	populations	population	NOUN
aps-38	10	29	are	be	AUX
aps-38	10	30	some	some	PRON
aps-38	10	31	of	of	ADP
aps-38	10	32	the	the	DET
aps-38	10	33	most	most	ADV
aps-38	10	34	important	important	ADJ
aps-38	10	35	influencing	influence	VERB
aps-38	10	36	factors	factor	NOUN
aps-38	10	37	affecting	affect	VERB
aps-38	10	38	internal	internal	ADJ
aps-38	10	39	migration	migration	NOUN
aps-38	10	40	flows	flow	NOUN
aps-38	10	41	.	.	PUNCT
aps-38	11	1	we	we	PRON
aps-38	11	2	see	see	VERB
aps-38	11	3	whether	whether	SCONJ
aps-38	11	4	constraining	constrain	VERB
aps-38	11	5	the	the	DET
aps-38	11	6	model	model	NOUN
aps-38	11	7	to	to	ADP
aps-38	11	8	known	know	VERB
aps-38	11	9	flows	flow	NOUN
aps-38	11	10	about	about	ADP
aps-38	11	11	origins	origin	NOUN
aps-38	11	12	and/or	and/or	CCONJ
aps-38	11	13	destinations	destination	NOUN
aps-38	11	14	will	will	AUX
aps-38	11	15	improve	improve	VERB
aps-38	11	16	the	the	DET
aps-38	11	17	fits	fit	NOUN
aps-38	11	18	and	and	CCONJ
aps-38	11	19	model	model	NOUN
aps-38	11	20	estimates	estimate	NOUN
aps-38	11	21	.	.	PUNCT
aps-38	12	1	conclusions	conclusion	NOUN
aps-38	12	2	spatial	spatial	ADJ
aps-38	12	3	interaction	interaction	NOUN
aps-38	12	4	modelling	modelling	NOUN
aps-38	12	5	has	have	AUX
aps-38	12	6	been	be	AUX
aps-38	12	7	a	a	DET
aps-38	12	8	tool	tool	NOUN
aps-38	12	9	in	in	ADP
aps-38	12	10	the	the	DET
aps-38	12	11	box	box	NOUN
aps-38	12	12	of	of	ADP
aps-38	12	13	some	some	DET
aps-38	12	14	population	population	NOUN
aps-38	12	15	geographers	geographer	NOUN
aps-38	12	16	for	for	ADP
aps-38	12	17	a	a	DET
aps-38	12	18	number	number	NOUN
aps-38	12	19	of	of	ADP
aps-38	12	20	decades	decade	NOUN
aps-38	12	21	.	.	PUNCT
aps-38	13	1	however	however	ADV
aps-38	13	2	,	,	PUNCT
aps-38	13	3	recent	recent	ADJ
aps-38	13	4	advances	advance	NOUN
aps-38	13	5	in	in	ADP
aps-38	13	6	more	more	ADJ
aps-38	13	7	forgiving	forgiving	ADJ
aps-38	13	8	programming	programming	NOUN
aps-38	13	9	languages	language	NOUN
aps-38	13	10	such	such	ADJ
aps-38	13	11	as	as	ADP
aps-38	13	12	r	r	NOUN
aps-38	13	13	and	and	CCONJ
aps-38	13	14	python	python	NOUN
aps-38	13	15	now	now	ADV
aps-38	13	16	mean	mean	VERB
aps-38	13	17	that	that	SCONJ
aps-38	13	18	this	this	DET
aps-38	13	19	powerful	powerful	ADJ
aps-38	13	20	modelling	modelling	NOUN
aps-38	13	21	methodology	methodology	NOUN
aps-38	13	22	is	be	AUX
aps-38	13	23	no	no	ADV
aps-38	13	24	longer	long	ADV
aps-38	13	25	only	only	ADV
aps-38	13	26	available	available	ADJ
aps-38	13	27	to	to	ADP
aps-38	13	28	those	those	PRON
aps-38	13	29	who	who	PRON
aps-38	13	30	also	also	ADV
aps-38	13	31	possess	possess	VERB
aps-38	13	32	advanced	advanced	ADJ
aps-38	13	33	computer	computer	NOUN
aps-38	13	34	programming	programming	NOUN
aps-38	13	35	skills	skill	NOUN
aps-38	13	36	.	.	PUNCT
aps-38	14	1	this	this	DET
aps-38	14	2	guide	guide	NOUN
aps-38	14	3	has	have	AUX
aps-38	14	4	exemplified	exemplify	VERB
aps-38	14	5	the	the	DET
aps-38	14	6	process	process	NOUN
aps-38	14	7	of	of	ADP
aps-38	14	8	fitting	fitting	ADJ
aps-38	14	9	and	and	CCONJ
aps-38	14	10	calibrating	calibrate	VERB
aps-38	14	11	spatial	spatial	ADJ
aps-38	14	12	interaction	interaction	NOUN
aps-38	14	13	models	model	NOUN
aps-38	14	14	on	on	ADP
aps-38	14	15	australian	australian	ADJ
aps-38	14	16	internal	internal	ADJ
aps-38	14	17	migration	migration	NOUN
aps-38	14	18	data	datum	NOUN
aps-38	14	19	,	,	PUNCT
aps-38	14	20	but	but	CCONJ
aps-38	14	21	the	the	DET
aps-38	14	22	methods	method	NOUN
aps-38	14	23	could	could	AUX
aps-38	14	24	easily	easily	ADV
aps-38	14	25	be	be	AUX
aps-38	14	26	applied	apply	VERB
aps-38	14	27	to	to	ADP
aps-38	14	28	other	other	ADJ
aps-38	14	29	flow	flow	NOUN
aps-38	14	30	data	data	NOUN
aps-38	14	31	sets	set	NOUN
aps-38	14	32	in	in	ADP
aps-38	14	33	other	other	ADJ
aps-38	14	34	contexts	contexts	NOUN
aps-38	14	35	.	.	PUNCT
aps-38	15	1	key	key	ADJ
aps-38	15	2	words	word	NOUN
aps-38	15	3	spatial	spatial	ADJ
aps-38	15	4	interaction	interaction	NOUN
aps-38	15	5	model	model	NOUN
aps-38	15	6	;	;	PUNCT
aps-38	15	7	gravity	gravity	NOUN
aps-38	15	8	model	model	NOUN
aps-38	15	9	;	;	PUNCT
aps-38	15	10	migration	migration	NOUN
aps-38	15	11	;	;	PUNCT
aps-38	15	12	r	r	NOUN
aps-38	15	13	;	;	PUNCT
aps-38	15	14	estimation	estimation	NOUN
aps-38	15	15	;	;	PUNCT
aps-38	15	16	visualisation	visualisation	NOUN
aps-38	15	17	;	;	PUNCT
aps-38	15	18	census	census	NOUN
aps-38	15	19	;	;	PUNCT
aps-38	15	20	australia	australia	PROPN
aps-38	15	21	.	.	PUNCT
aps-38	16	1	http://www.australianpopulationstudies.org/	http://www.australianpopulationstudies.org/	PRON
aps-38	17	1	mailto:a.dennett@ucl.ac.uk	mailto:a.dennett@ucl.ac.uk	PROPN
aps-38	17	2	34	34	NUM
aps-38	17	3	dennett	dennett	PROPN
aps-38	17	4	australian	australian	ADJ
aps-38	17	5	population	population	NOUN
aps-38	17	6	studies	study	NOUN
aps-38	17	7	2	2	NUM
aps-38	17	8	(	(	PUNCT
aps-38	17	9	2	2	NUM
aps-38	17	10	)	)	PUNCT
aps-38	17	11	2018	2018	NUM
aps-38	17	12	1	1	NUM
aps-38	17	13	.	.	PUNCT
aps-38	17	14	introduction	introduction	NOUN
aps-38	17	15	in	in	ADP
aps-38	17	16	this	this	DET
aps-38	17	17	introductory	introductory	ADJ
aps-38	17	18	guide	guide	NOUN
aps-38	17	19	,	,	PUNCT
aps-38	17	20	you	you	PRON
aps-38	17	21	will	will	AUX
aps-38	17	22	learn	learn	VERB
aps-38	17	23	how	how	SCONJ
aps-38	17	24	we	we	PRON
aps-38	17	25	can	can	AUX
aps-38	17	26	use	use	VERB
aps-38	17	27	spatial	spatial	ADJ
aps-38	17	28	interaction	interaction	NOUN
aps-38	17	29	models	model	NOUN
aps-38	17	30	to	to	PART
aps-38	17	31	model	model	VERB
aps-38	17	32	population	population	NOUN
aps-38	17	33	flows	flow	VERB
aps-38	17	34	for	for	ADP
aps-38	17	35	a	a	DET
aps-38	17	36	variety	variety	NOUN
aps-38	17	37	of	of	ADP
aps-38	17	38	different	different	ADJ
aps-38	17	39	purposes	purpose	NOUN
aps-38	17	40	such	such	ADJ
aps-38	17	41	as	as	ADP
aps-38	17	42	estimating	estimate	VERB
aps-38	17	43	unknown	unknown	ADJ
aps-38	17	44	flows	flow	NOUN
aps-38	17	45	,	,	PUNCT
aps-38	17	46	predicting	predict	VERB
aps-38	17	47	future	future	ADJ
aps-38	17	48	patterns	pattern	NOUN
aps-38	17	49	,	,	PUNCT
aps-38	17	50	understanding	understand	VERB
aps-38	17	51	the	the	DET
aps-38	17	52	drivers	driver	NOUN
aps-38	17	53	of	of	ADP
aps-38	17	54	those	those	DET
aps-38	17	55	flows	flow	NOUN
aps-38	17	56	,	,	PUNCT
aps-38	17	57	or	or	CCONJ
aps-38	17	58	exploring	explore	VERB
aps-38	17	59	the	the	DET
aps-38	17	60	differences	difference	NOUN
aps-38	17	61	between	between	ADP
aps-38	17	62	the	the	DET
aps-38	17	63	flows	flow	NOUN
aps-38	17	64	of	of	ADP
aps-38	17	65	different	different	ADJ
aps-38	17	66	groups	group	NOUN
aps-38	17	67	.	.	PUNCT
aps-38	18	1	the	the	DET
aps-38	18	2	empirical	empirical	ADJ
aps-38	18	3	example	example	NOUN
aps-38	18	4	uses	use	VERB
aps-38	18	5	migration	migration	NOUN
aps-38	18	6	flows	flow	NOUN
aps-38	18	7	taken	take	VERB
aps-38	18	8	from	from	ADP
aps-38	18	9	the	the	DET
aps-38	18	10	australian	australian	ADJ
aps-38	18	11	bureau	bureau	NOUN
aps-38	18	12	of	of	ADP
aps-38	18	13	statistics	statistic	NOUN
aps-38	18	14	(	(	PUNCT
aps-38	18	15	abs	ab	NOUN
aps-38	18	16	)	)	PUNCT
aps-38	18	17	2011	2011	NUM
aps-38	18	18	census	census	NOUN
aps-38	18	19	of	of	ADP
aps-38	18	20	population	population	NOUN
aps-38	18	21	and	and	CCONJ
aps-38	18	22	housing	housing	NOUN
aps-38	18	23	(	(	PUNCT
aps-38	18	24	census	census	NOUN
aps-38	18	25	)	)	PUNCT
aps-38	18	26	,	,	PUNCT
aps-38	18	27	but	but	CCONJ
aps-38	18	28	the	the	DET
aps-38	18	29	method	method	NOUN
aps-38	18	30	is	be	AUX
aps-38	18	31	generic	generic	ADJ
aps-38	18	32	and	and	CCONJ
aps-38	18	33	could	could	AUX
aps-38	18	34	be	be	AUX
aps-38	18	35	used	use	VERB
aps-38	18	36	on	on	ADP
aps-38	18	37	any	any	DET
aps-38	18	38	flow	flow	NOUN
aps-38	18	39	data	datum	NOUN
aps-38	18	40	(	(	PUNCT
aps-38	18	41	other	other	ADJ
aps-38	18	42	population	population	NOUN
aps-38	18	43	data	datum	NOUN
aps-38	18	44	such	such	ADJ
aps-38	18	45	as	as	ADP
aps-38	18	46	commuting	commute	VERB
aps-38	18	47	data	datum	NOUN
aps-38	18	48	or	or	CCONJ
aps-38	18	49	economic	economic	ADJ
aps-38	18	50	data	datum	NOUN
aps-38	18	51	such	such	ADJ
aps-38	18	52	as	as	ADP
aps-38	18	53	flows	flow	NOUN
aps-38	18	54	of	of	ADP
aps-38	18	55	capital	capital	NOUN
aps-38	18	56	or	or	CCONJ
aps-38	18	57	trade	trade	NOUN
aps-38	18	58	,	,	PUNCT
aps-38	18	59	for	for	ADP
aps-38	18	60	example	example	NOUN
aps-38	18	61	)	)	PUNCT
aps-38	18	62	.	.	PUNCT
aps-38	19	1	the	the	DET
aps-38	19	2	examples	example	NOUN
aps-38	19	3	shown	show	VERB
aps-38	19	4	here	here	ADV
aps-38	19	5	will	will	AUX
aps-38	19	6	use	use	VERB
aps-38	19	7	the	the	DET
aps-38	19	8	r	r	NOUN
aps-38	19	9	software	software	NOUN
aps-38	19	10	environment	environment	NOUN
aps-38	19	11	,	,	PUNCT
aps-38	19	12	and	and	CCONJ
aps-38	19	13	an	an	DET
aps-38	19	14	accompanying	accompanying	ADJ
aps-38	19	15	practical	practical	ADJ
aps-38	19	16	walk	walk	NOUN
aps-38	19	17	-	-	PUNCT
aps-38	19	18	through	through	ADP
aps-38	19	19	guide	guide	NOUN
aps-38	19	20	will	will	AUX
aps-38	19	21	be	be	AUX
aps-38	19	22	referred	refer	VERB
aps-38	19	23	to	to	ADP
aps-38	19	24	throughout	throughout	ADP
aps-38	19	25	this	this	DET
aps-38	19	26	paper	paper	NOUN
aps-38	19	27	which	which	PRON
aps-38	19	28	can	can	AUX
aps-38	19	29	be	be	AUX
aps-38	19	30	accessed	access	VERB
aps-38	19	31	via	via	ADP
aps-38	19	32	the	the	DET
aps-38	19	33	following	follow	VERB
aps-38	19	34	link	link	NOUN
aps-38	19	35	:	:	PUNCT
aps-38	19	36	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	PUNCT
aps-38	19	37	.	.	PUNCT
aps-38	20	1	it	it	PRON
aps-38	20	2	can	can	AUX
aps-38	20	3	also	also	ADV
aps-38	20	4	be	be	AUX
aps-38	20	5	followed	follow	VERB
aps-38	20	6	in	in	ADP
aps-38	20	7	its	its	PRON
aps-38	20	8	entirety	entirety	NOUN
aps-38	20	9	if	if	SCONJ
aps-38	20	10	you	you	PRON
aps-38	20	11	would	would	AUX
aps-38	20	12	like	like	VERB
aps-38	20	13	to	to	PART
aps-38	20	14	learn	learn	VERB
aps-38	20	15	the	the	DET
aps-38	20	16	code	code	NOUN
aps-38	20	17	required	require	VERB
aps-38	20	18	for	for	ADP
aps-38	20	19	any	any	PRON
aps-38	20	20	of	of	ADP
aps-38	20	21	the	the	DET
aps-38	20	22	models	model	NOUN
aps-38	20	23	.	.	PUNCT
aps-38	21	1	1.1	1.1	NUM
aps-38	21	2	what	what	PRON
aps-38	21	3	constitutes	constitute	VERB
aps-38	21	4	a	a	DET
aps-38	21	5	population	population	NOUN
aps-38	21	6	flow	flow	NOUN
aps-38	21	7	?	?	PUNCT
aps-38	22	1	in	in	ADP
aps-38	22	2	fields	field	NOUN
aps-38	22	3	such	such	ADJ
aps-38	22	4	as	as	ADP
aps-38	22	5	population	population	NOUN
aps-38	22	6	geography	geography	NOUN
aps-38	22	7	and	and	CCONJ
aps-38	22	8	demography	demography	NOUN
aps-38	22	9	,	,	PUNCT
aps-38	22	10	the	the	DET
aps-38	22	11	population	population	NOUN
aps-38	22	12	flows	flow	VERB
aps-38	22	13	of	of	ADP
aps-38	22	14	interest	interest	NOUN
aps-38	22	15	are	be	AUX
aps-38	22	16	usually	usually	ADV
aps-38	22	17	low	low	ADJ
aps-38	22	18	-	-	PUNCT
aps-38	22	19	frequency	frequency	NOUN
aps-38	22	20	migration	migration	NOUN
aps-38	22	21	or	or	CCONJ
aps-38	22	22	residential	residential	ADJ
aps-38	22	23	mobility	mobility	NOUN
aps-38	22	24	moves	move	NOUN
aps-38	22	25	.	.	PUNCT
aps-38	23	1	both	both	PRON
aps-38	23	2	assume	assume	VERB
aps-38	23	3	some	some	DET
aps-38	23	4	permanent	permanent	ADJ
aps-38	23	5	change	change	NOUN
aps-38	23	6	of	of	ADP
aps-38	23	7	residential	residential	ADJ
aps-38	23	8	address	address	NOUN
aps-38	23	9	which	which	PRON
aps-38	23	10	can	can	AUX
aps-38	23	11	be	be	AUX
aps-38	23	12	either	either	CCONJ
aps-38	23	13	within	within	ADP
aps-38	23	14	a	a	DET
aps-38	23	15	country	country	NOUN
aps-38	23	16	(	(	PUNCT
aps-38	23	17	internal	internal	ADJ
aps-38	23	18	migration	migration	NOUN
aps-38	23	19	or	or	CCONJ
aps-38	23	20	residential	residential	ADJ
aps-38	23	21	mobility	mobility	NOUN
aps-38	23	22	)	)	PUNCT
aps-38	23	23	or	or	CCONJ
aps-38	23	24	between	between	ADP
aps-38	23	25	countries	country	NOUN
aps-38	23	26	(	(	PUNCT
aps-38	23	27	international	international	ADJ
aps-38	23	28	migration	migration	NOUN
aps-38	23	29	)	)	PUNCT
aps-38	23	30	.	.	PUNCT
aps-38	24	1	some	some	DET
aps-38	24	2	scholars	scholar	NOUN
aps-38	24	3	make	make	VERB
aps-38	24	4	a	a	DET
aps-38	24	5	clear	clear	ADJ
aps-38	24	6	distinction	distinction	NOUN
aps-38	24	7	between	between	ADP
aps-38	24	8	what	what	PRON
aps-38	24	9	they	they	PRON
aps-38	24	10	term	term	VERB
aps-38	24	11	‘	'	PUNCT
aps-38	24	12	residential	residential	ADJ
aps-38	24	13	mobility	mobility	NOUN
aps-38	24	14	’	'	PUNCT
aps-38	24	15	(	(	PUNCT
aps-38	24	16	short	short	ADJ
aps-38	24	17	-	-	PUNCT
aps-38	24	18	distance	distance	NOUN
aps-38	24	19	moves	move	NOUN
aps-38	24	20	,	,	PUNCT
aps-38	24	21	usually	usually	ADV
aps-38	24	22	within	within	ADP
aps-38	24	23	settlements	settlement	NOUN
aps-38	24	24	or	or	CCONJ
aps-38	24	25	regions	region	NOUN
aps-38	24	26	where	where	SCONJ
aps-38	24	27	individuals	individual	NOUN
aps-38	24	28	may	may	AUX
aps-38	24	29	retain	retain	VERB
aps-38	24	30	the	the	DET
aps-38	24	31	same	same	ADJ
aps-38	24	32	social	social	ADJ
aps-38	24	33	groups	group	NOUN
aps-38	24	34	or	or	CCONJ
aps-38	24	35	job	job	NOUN
aps-38	24	36	)	)	PUNCT
aps-38	24	37	and	and	CCONJ
aps-38	24	38	‘	'	PUNCT
aps-38	24	39	internal	internal	ADJ
aps-38	24	40	migration	migration	NOUN
aps-38	24	41	’	'	PUNCT
aps-38	24	42	(	(	PUNCT
aps-38	24	43	longer	long	ADJ
aps-38	24	44	distance	distance	NOUN
aps-38	24	45	moves	move	NOUN
aps-38	24	46	,	,	PUNCT
aps-38	24	47	which	which	PRON
aps-38	24	48	may	may	AUX
aps-38	24	49	involve	involve	VERB
aps-38	24	50	changing	change	VERB
aps-38	24	51	jobs	job	NOUN
aps-38	24	52	and	and	CCONJ
aps-38	24	53	social	social	ADJ
aps-38	24	54	groups	group	NOUN
aps-38	24	55	)	)	PUNCT
aps-38	24	56	.	.	PUNCT
aps-38	25	1	however	however	ADV
aps-38	25	2	,	,	PUNCT
aps-38	25	3	in	in	ADP
aps-38	25	4	reality	reality	NOUN
aps-38	25	5	this	this	PRON
aps-38	25	6	is	be	AUX
aps-38	25	7	a	a	DET
aps-38	25	8	continuum	continuum	NOUN
aps-38	25	9	with	with	ADP
aps-38	25	10	no	no	DET
aps-38	25	11	clear	clear	ADJ
aps-38	25	12	line	line	NOUN
aps-38	25	13	demarking	demarke	VERB
aps-38	25	14	one	one	NUM
aps-38	25	15	or	or	CCONJ
aps-38	25	16	the	the	DET
aps-38	25	17	other	other	ADJ
aps-38	25	18	.	.	PUNCT
aps-38	26	1	most	most	ADJ
aps-38	26	2	national	national	ADJ
aps-38	26	3	censuses	census	NOUN
aps-38	26	4	will	will	AUX
aps-38	26	5	simply	simply	ADV
aps-38	26	6	refer	refer	VERB
aps-38	26	7	to	to	ADP
aps-38	26	8	any	any	DET
aps-38	26	9	internal	internal	ADJ
aps-38	26	10	move	move	NOUN
aps-38	26	11	over	over	ADP
aps-38	26	12	any	any	DET
aps-38	26	13	distance	distance	NOUN
aps-38	26	14	as	as	ADP
aps-38	26	15	‘	'	PUNCT
aps-38	26	16	internal	internal	ADJ
aps-38	26	17	migration	migration	NOUN
aps-38	26	18	’	'	PUNCT
aps-38	26	19	.	.	PUNCT
aps-38	27	1	depending	depend	VERB
aps-38	27	2	on	on	ADP
aps-38	27	3	where	where	SCONJ
aps-38	27	4	you	you	PRON
aps-38	27	5	are	be	AUX
aps-38	27	6	in	in	ADP
aps-38	27	7	the	the	DET
aps-38	27	8	world	world	NOUN
aps-38	27	9	,	,	PUNCT
aps-38	27	10	the	the	DET
aps-38	27	11	proportion	proportion	NOUN
aps-38	27	12	of	of	ADP
aps-38	27	13	a	a	DET
aps-38	27	14	population	population	NOUN
aps-38	27	15	changing	change	VERB
aps-38	27	16	their	their	PRON
aps-38	27	17	residential	residential	ADJ
aps-38	27	18	address	address	NOUN
aps-38	27	19	in	in	ADP
aps-38	27	20	a	a	DET
aps-38	27	21	given	give	VERB
aps-38	27	22	year	year	NOUN
aps-38	27	23	is	be	AUX
aps-38	27	24	around	around	ADV
aps-38	27	25	10	10	NUM
aps-38	27	26	per	per	ADP
aps-38	27	27	cent	cent	NOUN
aps-38	27	28	,	,	PUNCT
aps-38	27	29	with	with	ADP
aps-38	27	30	most	most	ADJ
aps-38	27	31	people	people	NOUN
aps-38	27	32	only	only	ADV
aps-38	27	33	moving	move	VERB
aps-38	27	34	a	a	DET
aps-38	27	35	handful	handful	NOUN
aps-38	27	36	of	of	ADP
aps-38	27	37	times	time	NOUN
aps-38	27	38	in	in	ADP
aps-38	27	39	their	their	PRON
aps-38	27	40	lifetime	lifetime	NOUN
aps-38	27	41	.	.	PUNCT
aps-38	28	1	these	these	DET
aps-38	28	2	population	population	NOUN
aps-38	28	3	movements	movement	NOUN
aps-38	28	4	can	can	AUX
aps-38	28	5	be	be	AUX
aps-38	28	6	contrasted	contrast	VERB
aps-38	28	7	with	with	ADP
aps-38	28	8	high	high	ADJ
aps-38	28	9	-	-	PUNCT
aps-38	28	10	frequency	frequency	NOUN
aps-38	28	11	flows	flow	NOUN
aps-38	28	12	that	that	PRON
aps-38	28	13	occur	occur	VERB
aps-38	28	14	on	on	ADP
aps-38	28	15	daily	daily	ADJ
aps-38	28	16	or	or	CCONJ
aps-38	28	17	weekly	weekly	ADJ
aps-38	28	18	cycles	cycle	NOUN
aps-38	28	19	.	.	PUNCT
aps-38	29	1	the	the	DET
aps-38	29	2	commute	commute	NOUN
aps-38	29	3	to	to	ADP
aps-38	29	4	work	work	NOUN
aps-38	29	5	or	or	CCONJ
aps-38	29	6	school	school	NOUN
aps-38	29	7	or	or	CCONJ
aps-38	29	8	travel	travel	VERB
aps-38	29	9	to	to	ADP
aps-38	29	10	the	the	DET
aps-38	29	11	shops	shop	NOUN
aps-38	29	12	,	,	PUNCT
aps-38	29	13	while	while	SCONJ
aps-38	29	14	of	of	ADP
aps-38	29	15	interest	interest	NOUN
aps-38	29	16	to	to	ADP
aps-38	29	17	some	some	DET
aps-38	29	18	population	population	NOUN
aps-38	29	19	geographers	geographer	NOUN
aps-38	29	20	,	,	PUNCT
aps-38	29	21	is	be	AUX
aps-38	29	22	frequently	frequently	ADV
aps-38	29	23	the	the	DET
aps-38	29	24	domain	domain	NOUN
aps-38	29	25	of	of	ADP
aps-38	29	26	transport	transport	NOUN
aps-38	29	27	planners	planner	NOUN
aps-38	29	28	and	and	CCONJ
aps-38	29	29	analysts	analyst	NOUN
aps-38	29	30	who	who	PRON
aps-38	29	31	are	be	AUX
aps-38	29	32	concerned	concern	VERB
aps-38	29	33	with	with	ADP
aps-38	29	34	the	the	DET
aps-38	29	35	impact	impact	NOUN
aps-38	29	36	of	of	ADP
aps-38	29	37	these	these	DET
aps-38	29	38	moves	move	NOUN
aps-38	29	39	on	on	ADP
aps-38	29	40	transport	transport	NOUN
aps-38	29	41	infrastructure	infrastructure	NOUN
aps-38	29	42	and	and	CCONJ
aps-38	29	43	systems	system	NOUN
aps-38	29	44	.	.	PUNCT
aps-38	30	1	1.2	1.2	NUM
aps-38	30	2	.	.	PUNCT
aps-38	31	1	population	population	NOUN
aps-38	31	2	flow	flow	PROPN
aps-38	31	3	data	datum	NOUN
aps-38	31	4	data	datum	NOUN
aps-38	31	5	related	relate	VERB
aps-38	31	6	to	to	ADP
aps-38	31	7	these	these	DET
aps-38	31	8	flows	flow	NOUN
aps-38	31	9	can	can	AUX
aps-38	31	10	vary	vary	VERB
aps-38	31	11	.	.	PUNCT
aps-38	32	1	for	for	ADP
aps-38	32	2	migration	migration	NOUN
aps-38	32	3	,	,	PUNCT
aps-38	32	4	data	datum	NOUN
aps-38	32	5	captured	capture	VERB
aps-38	32	6	by	by	ADP
aps-38	32	7	censuses	census	NOUN
aps-38	32	8	or	or	CCONJ
aps-38	32	9	surveys	survey	NOUN
aps-38	32	10	tend	tend	VERB
aps-38	32	11	to	to	PART
aps-38	32	12	be	be	AUX
aps-38	32	13	‘	'	PUNCT
aps-38	32	14	transitions	transition	NOUN
aps-38	32	15	’	'	PUNCT
aps-38	32	16	over	over	ADP
aps-38	32	17	a	a	DET
aps-38	32	18	period	period	NOUN
aps-38	32	19	of	of	ADP
aps-38	32	20	time	time	NOUN
aps-38	32	21	(	(	PUNCT
aps-38	32	22	a	a	DET
aps-38	32	23	year	year	NOUN
aps-38	32	24	,	,	PUNCT
aps-38	32	25	5	5	NUM
aps-38	32	26	years	year	NOUN
aps-38	32	27	,	,	PUNCT
aps-38	32	28	10	10	NUM
aps-38	32	29	years	year	NOUN
aps-38	32	30	)	)	PUNCT
aps-38	32	31	with	with	ADP
aps-38	32	32	a	a	DET
aps-38	32	33	flow	flow	NOUN
aps-38	32	34	recorded	record	VERB
aps-38	32	35	if	if	SCONJ
aps-38	32	36	there	there	PRON
aps-38	32	37	is	be	VERB
aps-38	32	38	a	a	DET
aps-38	32	39	difference	difference	NOUN
aps-38	32	40	between	between	ADP
aps-38	32	41	residential	residential	ADJ
aps-38	32	42	address	address	NOUN
aps-38	32	43	between	between	ADP
aps-38	32	44	the	the	DET
aps-38	32	45	start	start	NOUN
aps-38	32	46	and	and	CCONJ
aps-38	32	47	the	the	DET
aps-38	32	48	end	end	NOUN
aps-38	32	49	of	of	ADP
aps-38	32	50	this	this	DET
aps-38	32	51	period	period	NOUN
aps-38	32	52	(	(	PUNCT
aps-38	32	53	rees	ree	NOUN
aps-38	32	54	1977	1977	NUM
aps-38	32	55	)	)	PUNCT
aps-38	32	56	.	.	PUNCT
aps-38	33	1	transition	transition	NOUN
aps-38	33	2	data	datum	NOUN
aps-38	33	3	will	will	AUX
aps-38	33	4	not	not	PART
aps-38	33	5	record	record	VERB
aps-38	33	6	multiple	multiple	ADJ
aps-38	33	7	moves	move	NOUN
aps-38	33	8	during	during	ADP
aps-38	33	9	a	a	DET
aps-38	33	10	period	period	NOUN
aps-38	33	11	and	and	CCONJ
aps-38	33	12	,	,	PUNCT
aps-38	33	13	as	as	ADP
aps-38	33	14	such	such	ADJ
aps-38	33	15	,	,	PUNCT
aps-38	33	16	are	be	AUX
aps-38	33	17	simpler	simple	ADJ
aps-38	33	18	than	than	ADP
aps-38	33	19	movement	movement	NOUN
aps-38	33	20	data	datum	NOUN
aps-38	33	21	which	which	PRON
aps-38	33	22	record	record	VERB
aps-38	33	23	multiple	multiple	ADJ
aps-38	33	24	moves	move	NOUN
aps-38	33	25	.	.	PUNCT
aps-38	34	1	movement	movement	NOUN
aps-38	34	2	data	datum	NOUN
aps-38	34	3	can	can	AUX
aps-38	34	4	be	be	AUX
aps-38	34	5	found	find	VERB
aps-38	34	6	more	more	ADV
aps-38	34	7	commonly	commonly	ADV
aps-38	34	8	in	in	ADP
aps-38	34	9	population	population	NOUN
aps-38	34	10	registers	register	NOUN
aps-38	34	11	that	that	PRON
aps-38	34	12	track	track	VERB
aps-38	34	13	population	population	NOUN
aps-38	34	14	changes	change	NOUN
aps-38	34	15	continuously	continuously	ADV
aps-38	34	16	.	.	PUNCT
aps-38	35	1	commuting	commute	VERB
aps-38	35	2	data	datum	NOUN
aps-38	35	3	,	,	PUNCT
aps-38	35	4	while	while	SCONJ
aps-38	35	5	frequently	frequently	ADV
aps-38	35	6	transitions	transition	NOUN
aps-38	35	7	derived	derive	VERB
aps-38	35	8	from	from	ADP
aps-38	35	9	census	census	NOUN
aps-38	35	10	returns	return	NOUN
aps-38	35	11	,	,	PUNCT
aps-38	35	12	are	be	AUX
aps-38	35	13	increasingly	increasingly	ADV
aps-38	35	14	being	be	AUX
aps-38	35	15	obtained	obtain	VERB
aps-38	35	16	from	from	ADP
aps-38	35	17	sources	source	NOUN
aps-38	35	18	such	such	ADJ
aps-38	35	19	as	as	ADP
aps-38	35	20	mobile	mobile	ADJ
aps-38	35	21	phone	phone	NOUN
aps-38	35	22	cell	cell	NOUN
aps-38	35	23	tower	tower	NOUN
aps-38	35	24	connections	connection	NOUN
aps-38	35	25	and	and	CCONJ
aps-38	35	26	apps	app	NOUN
aps-38	35	27	(	(	PUNCT
aps-38	35	28	erhardt	erhardt	ADJ
aps-38	35	29	and	and	CCONJ
aps-38	35	30	dennett	dennett	PROPN
aps-38	35	31	2017	2017	NUM
aps-38	35	32	)	)	PUNCT
aps-38	35	33	.	.	PUNCT
aps-38	36	1	in	in	ADP
aps-38	36	2	this	this	DET
aps-38	36	3	guide	guide	NOUN
aps-38	36	4	we	we	PRON
aps-38	36	5	will	will	AUX
aps-38	36	6	use	use	VERB
aps-38	36	7	censusbased	censusbased	ADJ
aps-38	36	8	transition	transition	NOUN
aps-38	36	9	data	datum	NOUN
aps-38	36	10	;	;	PUNCT
aps-38	36	11	however	however	ADV
aps-38	36	12	,	,	PUNCT
aps-38	36	13	being	be	AUX
aps-38	36	14	aware	aware	ADJ
aps-38	36	15	of	of	ADP
aps-38	36	16	these	these	DET
aps-38	36	17	other	other	ADJ
aps-38	36	18	sources	source	NOUN
aps-38	36	19	is	be	AUX
aps-38	36	20	important	important	ADJ
aps-38	36	21	,	,	PUNCT
aps-38	36	22	particularly	particularly	ADV
aps-38	36	23	in	in	ADP
aps-38	36	24	a	a	DET
aps-38	36	25	world	world	NOUN
aps-38	36	26	that	that	PRON
aps-38	36	27	is	be	AUX
aps-38	36	28	looking	look	VERB
aps-38	36	29	increasingly	increasingly	ADV
aps-38	36	30	to	to	PART
aps-38	36	31	move	move	VERB
aps-38	36	32	away	away	ADV
aps-38	36	33	from	from	ADP
aps-38	36	34	censuses	census	NOUN
aps-38	36	35	.	.	PUNCT
aps-38	37	1	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	X
aps-38	38	1	australian	australian	ADJ
aps-38	38	2	population	population	NOUN
aps-38	38	3	studies	study	NOUN
aps-38	38	4	2	2	NUM
aps-38	38	5	(	(	PUNCT
aps-38	38	6	2	2	NUM
aps-38	38	7	)	)	PUNCT
aps-38	38	8	2018	2018	NUM
aps-38	38	9	dennett	dennett	PROPN
aps-38	38	10	35	35	NUM
aps-38	38	11	1.3	1.3	NUM
aps-38	38	12	.	.	PUNCT
aps-38	39	1	why	why	SCONJ
aps-38	39	2	would	would	AUX
aps-38	39	3	we	we	PRON
aps-38	39	4	want	want	VERB
aps-38	39	5	to	to	PART
aps-38	39	6	model	model	VERB
aps-38	39	7	population	population	NOUN
aps-38	39	8	flows	flow	VERB
aps-38	39	9	?	?	PUNCT
aps-38	40	1	as	as	SCONJ
aps-38	40	2	hinted	hint	VERB
aps-38	40	3	in	in	ADP
aps-38	40	4	the	the	DET
aps-38	40	5	introduction	introduction	NOUN
aps-38	40	6	,	,	PUNCT
aps-38	40	7	there	there	PRON
aps-38	40	8	are	be	VERB
aps-38	40	9	a	a	DET
aps-38	40	10	number	number	NOUN
aps-38	40	11	of	of	ADP
aps-38	40	12	reasons	reason	NOUN
aps-38	40	13	for	for	ADP
aps-38	40	14	wanting	want	VERB
aps-38	40	15	to	to	PART
aps-38	40	16	model	model	VERB
aps-38	40	17	population	population	NOUN
aps-38	40	18	flows	flow	VERB
aps-38	40	19	.	.	PUNCT
aps-38	41	1	in	in	ADP
aps-38	41	2	migration	migration	NOUN
aps-38	41	3	studies	study	NOUN
aps-38	41	4	,	,	PUNCT
aps-38	41	5	in	in	ADP
aps-38	41	6	a	a	DET
aps-38	41	7	number	number	NOUN
aps-38	41	8	of	of	ADP
aps-38	41	9	papers	paper	NOUN
aps-38	41	10	by	by	ADP
aps-38	41	11	raymer	raymer	NOUN
aps-38	41	12	and	and	CCONJ
aps-38	41	13	colleagues	colleague	NOUN
aps-38	41	14	(	(	PUNCT
aps-38	41	15	raymer	raymer	NOUN
aps-38	41	16	2007	2007	NUM
aps-38	41	17	;	;	PUNCT
aps-38	41	18	raymer	raymer	NOUN
aps-38	41	19	,	,	PUNCT
aps-38	41	20	abel	abel	PROPN
aps-38	41	21	and	and	CCONJ
aps-38	41	22	smith	smith	PROPN
aps-38	41	23	2007	2007	NUM
aps-38	41	24	;	;	PUNCT
aps-38	41	25	raymer	raymer	NOUN
aps-38	41	26	and	and	CCONJ
aps-38	41	27	abel	abel	PROPN
aps-38	41	28	2008	2008	NUM
aps-38	41	29	)	)	PUNCT
aps-38	41	30	as	as	ADV
aps-38	41	31	well	well	ADV
aps-38	41	32	abel	abel	PROPN
aps-38	41	33	(	(	PUNCT
aps-38	41	34	2010	2010	NUM
aps-38	41	35	)	)	PUNCT
aps-38	41	36	,	,	PUNCT
aps-38	41	37	willekens	willeken	VERB
aps-38	41	38	(	(	PUNCT
aps-38	41	39	1999	1999	NUM
aps-38	41	40	)	)	PUNCT
aps-38	41	41	and	and	CCONJ
aps-38	41	42	dennett	dennett	PROPN
aps-38	41	43	and	and	CCONJ
aps-38	41	44	wilson	wilson	PROPN
aps-38	41	45	(	(	PUNCT
aps-38	41	46	2013	2013	NUM
aps-38	41	47	)	)	PUNCT
aps-38	41	48	,	,	PUNCT
aps-38	41	49	the	the	DET
aps-38	41	50	problem	problem	NOUN
aps-38	41	51	of	of	ADP
aps-38	41	52	missing	missing	ADJ
aps-38	41	53	or	or	CCONJ
aps-38	41	54	incomplete	incomplete	ADJ
aps-38	41	55	data	datum	NOUN
aps-38	41	56	was	be	AUX
aps-38	41	57	addressed	address	VERB
aps-38	41	58	.	.	PUNCT
aps-38	42	1	pooler	pooler	NOUN
aps-38	42	2	(	(	PUNCT
aps-38	42	3	1987	1987	NUM
aps-38	42	4	)	)	PUNCT
aps-38	42	5	used	use	VERB
aps-38	42	6	similar	similar	ADJ
aps-38	42	7	models	model	NOUN
aps-38	42	8	to	to	PART
aps-38	42	9	tackle	tackle	VERB
aps-38	42	10	the	the	DET
aps-38	42	11	problem	problem	NOUN
aps-38	42	12	of	of	ADP
aps-38	42	13	predicting	predict	VERB
aps-38	42	14	migration	migration	NOUN
aps-38	42	15	,	,	PUNCT
aps-38	42	16	as	as	SCONJ
aps-38	42	17	did	do	AUX
aps-38	42	18	fotheringham	fotheringham	VERB
aps-38	42	19	et	et	PROPN
aps-38	42	20	al	al	PROPN
aps-38	42	21	.	.	PROPN
aps-38	43	1	(	(	PUNCT
aps-38	43	2	2001	2001	NUM
aps-38	43	3	)	)	PUNCT
aps-38	43	4	.	.	PUNCT
aps-38	44	1	implicit	implicit	ADJ
aps-38	44	2	in	in	ADP
aps-38	44	3	much	much	ADJ
aps-38	44	4	of	of	ADP
aps-38	44	5	this	this	DET
aps-38	44	6	modelling	modelling	NOUN
aps-38	44	7	research	research	NOUN
aps-38	44	8	is	be	AUX
aps-38	44	9	the	the	DET
aps-38	44	10	evaluation	evaluation	NOUN
aps-38	44	11	of	of	ADP
aps-38	44	12	factors	factor	NOUN
aps-38	44	13	influencing	influence	VERB
aps-38	44	14	the	the	DET
aps-38	44	15	observed	observe	VERB
aps-38	44	16	patterns	pattern	NOUN
aps-38	44	17	–	–	PUNCT
aps-38	44	18	a	a	DET
aps-38	44	19	paper	paper	NOUN
aps-38	44	20	by	by	ADP
aps-38	44	21	kim	kim	PROPN
aps-38	44	22	and	and	CCONJ
aps-38	44	23	cohen	cohen	PROPN
aps-38	44	24	(	(	PUNCT
aps-38	44	25	2010	2010	NUM
aps-38	44	26	)	)	PUNCT
aps-38	44	27	is	be	AUX
aps-38	44	28	more	more	ADV
aps-38	44	29	explicit	explicit	ADJ
aps-38	44	30	in	in	ADP
aps-38	44	31	this	this	DET
aps-38	44	32	regard	regard	NOUN
aps-38	44	33	.	.	PUNCT
aps-38	45	1	1.4	1.4	NUM
aps-38	45	2	.	.	PUNCT
aps-38	46	1	how	how	SCONJ
aps-38	46	2	can	can	AUX
aps-38	46	3	we	we	PRON
aps-38	46	4	model	model	VERB
aps-38	46	5	population	population	NOUN
aps-38	46	6	flows	flow	VERB
aps-38	46	7	?	?	PUNCT
aps-38	47	1	population	population	NOUN
aps-38	47	2	flows	flow	NOUN
aps-38	47	3	can	can	AUX
aps-38	47	4	be	be	AUX
aps-38	47	5	conceptualised	conceptualise	VERB
aps-38	47	6	as	as	ADP
aps-38	47	7	interactions	interaction	NOUN
aps-38	47	8	between	between	ADP
aps-38	47	9	two	two	NUM
aps-38	47	10	entities	entity	NOUN
aps-38	47	11	–	–	PUNCT
aps-38	47	12	origins	origin	NOUN
aps-38	47	13	and	and	CCONJ
aps-38	47	14	destinations	destination	NOUN
aps-38	47	15	–	–	PUNCT
aps-38	47	16	which	which	PRON
aps-38	47	17	have	have	VERB
aps-38	47	18	different	different	ADJ
aps-38	47	19	properties	property	NOUN
aps-38	47	20	of	of	ADP
aps-38	47	21	emissivity	emissivity	NOUN
aps-38	47	22	and	and	CCONJ
aps-38	47	23	attractiveness	attractiveness	NOUN
aps-38	47	24	(	(	PUNCT
aps-38	47	25	see	see	VERB
aps-38	47	26	lee	lee	PROPN
aps-38	47	27	1966	1966	NUM
aps-38	47	28	for	for	ADP
aps-38	47	29	the	the	DET
aps-38	47	30	classic	classic	ADJ
aps-38	47	31	paper	paper	NOUN
aps-38	47	32	on	on	ADP
aps-38	47	33	this	this	DET
aps-38	47	34	topic	topic	NOUN
aps-38	47	35	in	in	ADP
aps-38	47	36	relation	relation	NOUN
aps-38	47	37	to	to	ADP
aps-38	47	38	migration	migration	NOUN
aps-38	47	39	)	)	PUNCT
aps-38	47	40	.	.	PUNCT
aps-38	48	1	the	the	DET
aps-38	48	2	strength	strength	NOUN
aps-38	48	3	of	of	ADP
aps-38	48	4	interaction	interaction	NOUN
aps-38	48	5	is	be	AUX
aps-38	48	6	a	a	DET
aps-38	48	7	function	function	NOUN
aps-38	48	8	of	of	ADP
aps-38	48	9	these	these	DET
aps-38	48	10	origin	origin	NOUN
aps-38	48	11	and	and	CCONJ
aps-38	48	12	destination	destination	NOUN
aps-38	48	13	properties	property	NOUN
aps-38	48	14	and	and	CCONJ
aps-38	48	15	the	the	DET
aps-38	48	16	negative	negative	ADJ
aps-38	48	17	influence	influence	NOUN
aps-38	48	18	of	of	ADP
aps-38	48	19	the	the	DET
aps-38	48	20	cost	cost	NOUN
aps-38	48	21	(	(	PUNCT
aps-38	48	22	frequently	frequently	ADV
aps-38	48	23	some	some	DET
aps-38	48	24	measure	measure	NOUN
aps-38	48	25	of	of	ADP
aps-38	48	26	distance	distance	NOUN
aps-38	48	27	,	,	PUNCT
aps-38	48	28	but	but	CCONJ
aps-38	48	29	equally	equally	ADV
aps-38	48	30	could	could	AUX
aps-38	48	31	be	be	AUX
aps-38	48	32	financial	financial	ADJ
aps-38	48	33	,	,	PUNCT
aps-38	48	34	time	time	NOUN
aps-38	48	35	or	or	CCONJ
aps-38	48	36	some	some	DET
aps-38	48	37	other	other	ADJ
aps-38	48	38	cost	cost	NOUN
aps-38	48	39	)	)	PUNCT
aps-38	48	40	that	that	PRON
aps-38	48	41	might	might	AUX
aps-38	48	42	be	be	AUX
aps-38	48	43	associated	associate	VERB
aps-38	48	44	with	with	ADP
aps-38	48	45	travelling	travel	VERB
aps-38	48	46	between	between	ADP
aps-38	48	47	them	they	PRON
aps-38	48	48	.	.	PUNCT
aps-38	49	1	this	this	DET
aps-38	49	2	situation	situation	NOUN
aps-38	49	3	is	be	AUX
aps-38	49	4	analogous	analogous	ADJ
aps-38	49	5	to	to	ADP
aps-38	49	6	that	that	PRON
aps-38	49	7	observed	observe	VERB
aps-38	49	8	by	by	ADP
aps-38	49	9	newton	newton	PROPN
aps-38	49	10	when	when	SCONJ
aps-38	49	11	he	he	PRON
aps-38	49	12	defined	define	VERB
aps-38	49	13	the	the	DET
aps-38	49	14	laws	law	NOUN
aps-38	49	15	of	of	ADP
aps-38	49	16	gravity	gravity	NOUN
aps-38	49	17	–	–	PUNCT
aps-38	49	18	the	the	PRON
aps-38	49	19	larger	large	ADJ
aps-38	49	20	the	the	DET
aps-38	49	21	entities	entity	NOUN
aps-38	49	22	interacting	interact	VERB
aps-38	49	23	,	,	PUNCT
aps-38	49	24	the	the	PRON
aps-38	49	25	stronger	strong	ADJ
aps-38	49	26	the	the	DET
aps-38	49	27	force	force	NOUN
aps-38	49	28	of	of	ADP
aps-38	49	29	interaction	interaction	NOUN
aps-38	49	30	;	;	PUNCT
aps-38	49	31	the	the	DET
aps-38	49	32	further	further	ADJ
aps-38	49	33	the	the	DET
aps-38	49	34	distance	distance	NOUN
aps-38	49	35	between	between	ADP
aps-38	49	36	them	they	PRON
aps-38	49	37	,	,	PUNCT
aps-38	49	38	the	the	PRON
aps-38	49	39	weaker	weak	ADJ
aps-38	49	40	the	the	DET
aps-38	49	41	interaction	interaction	NOUN
aps-38	49	42	.	.	PUNCT
aps-38	50	1	hence	hence	ADV
aps-38	50	2	the	the	DET
aps-38	50	3	term	term	NOUN
aps-38	50	4	‘	'	PUNCT
aps-38	50	5	gravity	gravity	NOUN
aps-38	50	6	model	model	NOUN
aps-38	50	7	’	'	PUNCT
aps-38	50	8	has	have	AUX
aps-38	50	9	been	be	AUX
aps-38	50	10	used	use	VERB
aps-38	50	11	and	and	CCONJ
aps-38	50	12	the	the	DET
aps-38	50	13	equation	equation	NOUN
aps-38	50	14	applied	apply	VERB
aps-38	50	15	in	in	ADP
aps-38	50	16	studying	study	VERB
aps-38	50	17	population	population	NOUN
aps-38	50	18	flows	flow	VERB
aps-38	50	19	for	for	ADP
aps-38	50	20	a	a	DET
aps-38	50	21	long	long	ADJ
aps-38	50	22	time	time	NOUN
aps-38	50	23	.	.	PUNCT
aps-38	51	1	see	see	VERB
aps-38	51	2	zipf	zipf	PROPN
aps-38	51	3	(	(	PUNCT
aps-38	51	4	1946	1946	NUM
aps-38	51	5	)	)	PUNCT
aps-38	51	6	for	for	ADP
aps-38	51	7	one	one	NUM
aps-38	51	8	of	of	ADP
aps-38	51	9	the	the	DET
aps-38	51	10	earlier	early	ADJ
aps-38	51	11	applications	application	NOUN
aps-38	51	12	of	of	ADP
aps-38	51	13	the	the	DET
aps-38	51	14	model	model	NOUN
aps-38	51	15	to	to	ADP
aps-38	51	16	population	population	NOUN
aps-38	51	17	flows	flow	VERB
aps-38	51	18	.	.	PUNCT
aps-38	52	1	over	over	ADP
aps-38	52	2	the	the	DET
aps-38	52	3	years	year	NOUN
aps-38	52	4	,	,	PUNCT
aps-38	52	5	various	various	ADJ
aps-38	52	6	improvements	improvement	NOUN
aps-38	52	7	have	have	AUX
aps-38	52	8	been	be	AUX
aps-38	52	9	made	make	VERB
aps-38	52	10	to	to	ADP
aps-38	52	11	the	the	DET
aps-38	52	12	basic	basic	ADJ
aps-38	52	13	gravity	gravity	NOUN
aps-38	52	14	model	model	NOUN
aps-38	52	15	.	.	PUNCT
aps-38	53	1	perhaps	perhaps	ADV
aps-38	53	2	the	the	DET
aps-38	53	3	most	most	ADV
aps-38	53	4	important	important	ADJ
aps-38	53	5	paper	paper	NOUN
aps-38	53	6	in	in	ADP
aps-38	53	7	this	this	DET
aps-38	53	8	respect	respect	NOUN
aps-38	53	9	is	be	AUX
aps-38	53	10	by	by	ADP
aps-38	53	11	wilson	wilson	PROPN
aps-38	53	12	(	(	PUNCT
aps-38	53	13	1971	1971	NUM
aps-38	53	14	)	)	PUNCT
aps-38	53	15	,	,	PUNCT
aps-38	53	16	where	where	SCONJ
aps-38	53	17	he	he	PRON
aps-38	53	18	introduces	introduce	VERB
aps-38	53	19	the	the	DET
aps-38	53	20	idea	idea	NOUN
aps-38	53	21	of	of	ADP
aps-38	53	22	‘	'	PUNCT
aps-38	53	23	constraints	constraint	NOUN
aps-38	53	24	’	'	PUNCT
aps-38	53	25	which	which	PRON
aps-38	53	26	force	force	VERB
aps-38	53	27	the	the	DET
aps-38	53	28	flows	flow	NOUN
aps-38	53	29	or	or	CCONJ
aps-38	53	30	interactions	interaction	NOUN
aps-38	53	31	estimated	estimate	VERB
aps-38	53	32	by	by	ADP
aps-38	53	33	the	the	DET
aps-38	53	34	model	model	NOUN
aps-38	53	35	to	to	PART
aps-38	53	36	adhere	adhere	VERB
aps-38	53	37	to	to	ADP
aps-38	53	38	known	know	VERB
aps-38	53	39	information	information	NOUN
aps-38	53	40	about	about	ADP
aps-38	53	41	the	the	DET
aps-38	53	42	system	system	NOUN
aps-38	53	43	.	.	PUNCT
aps-38	54	1	for	for	ADP
aps-38	54	2	example	example	NOUN
aps-38	54	3	,	,	PUNCT
aps-38	54	4	there	there	PRON
aps-38	54	5	may	may	AUX
aps-38	54	6	be	be	AUX
aps-38	54	7	data	datum	NOUN
aps-38	54	8	on	on	ADP
aps-38	54	9	the	the	DET
aps-38	54	10	total	total	ADJ
aps-38	54	11	number	number	NOUN
aps-38	54	12	of	of	ADP
aps-38	54	13	people	people	NOUN
aps-38	54	14	leaving	leave	VERB
aps-38	54	15	an	an	DET
aps-38	54	16	origin	origin	NOUN
aps-38	54	17	or	or	CCONJ
aps-38	54	18	arriving	arrive	VERB
aps-38	54	19	at	at	ADP
aps-38	54	20	a	a	DET
aps-38	54	21	destination	destination	NOUN
aps-38	54	22	(	(	PUNCT
aps-38	54	23	or	or	CCONJ
aps-38	54	24	both	both	PRON
aps-38	54	25	)	)	PUNCT
aps-38	54	26	.	.	PUNCT
aps-38	55	1	in	in	ADP
aps-38	55	2	the	the	DET
aps-38	55	3	basic	basic	ADJ
aps-38	55	4	gravity	gravity	NOUN
aps-38	55	5	model	model	NOUN
aps-38	55	6	,	,	PUNCT
aps-38	55	7	the	the	DET
aps-38	55	8	flows	flow	NOUN
aps-38	55	9	estimated	estimate	VERB
aps-38	55	10	might	might	AUX
aps-38	55	11	exceed	exceed	VERB
aps-38	55	12	this	this	DET
aps-38	55	13	known	know	VERB
aps-38	55	14	information	information	NOUN
aps-38	55	15	,	,	PUNCT
aps-38	55	16	which	which	PRON
aps-38	55	17	is	be	AUX
aps-38	55	18	clearly	clearly	ADV
aps-38	55	19	an	an	DET
aps-38	55	20	issue	issue	NOUN
aps-38	55	21	.	.	PUNCT
aps-38	56	1	by	by	ADP
aps-38	56	2	introducing	introduce	VERB
aps-38	56	3	constraints	constraint	NOUN
aps-38	56	4	,	,	PUNCT
aps-38	56	5	it	it	PRON
aps-38	56	6	is	be	AUX
aps-38	56	7	possible	possible	ADJ
aps-38	56	8	to	to	PART
aps-38	56	9	force	force	VERB
aps-38	56	10	the	the	DET
aps-38	56	11	modelled	model	VERB
aps-38	56	12	flows	flow	NOUN
aps-38	56	13	to	to	PART
aps-38	56	14	correspond	correspond	VERB
aps-38	56	15	to	to	ADP
aps-38	56	16	this	this	DET
aps-38	56	17	known	know	VERB
aps-38	56	18	information	information	NOUN
aps-38	56	19	,	,	PUNCT
aps-38	56	20	significantly	significantly	ADV
aps-38	56	21	improving	improve	VERB
aps-38	56	22	accuracy	accuracy	NOUN
aps-38	56	23	.	.	PUNCT
aps-38	57	1	wilson	wilson	PROPN
aps-38	57	2	called	call	VERB
aps-38	57	3	his	his	PRON
aps-38	57	4	new	new	ADJ
aps-38	57	5	family	family	NOUN
aps-38	57	6	of	of	ADP
aps-38	57	7	constrained	constrained	ADJ
aps-38	57	8	models	model	NOUN
aps-38	57	9	‘	'	PUNCT
aps-38	57	10	spatial	spatial	ADJ
aps-38	57	11	interaction	interaction	NOUN
aps-38	57	12	models	model	NOUN
aps-38	57	13	’	'	PUNCT
aps-38	57	14	.	.	PUNCT
aps-38	58	1	2	2	X
aps-38	58	2	.	.	X
aps-38	58	3	modelling	model	VERB
aps-38	58	4	population	population	NOUN
aps-38	58	5	flows	flow	NOUN
aps-38	58	6	in	in	ADP
aps-38	58	7	practice	practice	NOUN
aps-38	58	8	the	the	DET
aps-38	58	9	basic	basic	ADJ
aps-38	58	10	theory	theory	NOUN
aps-38	58	11	behind	behind	ADP
aps-38	58	12	spatial	spatial	ADJ
aps-38	58	13	interaction	interaction	NOUN
aps-38	58	14	or	or	CCONJ
aps-38	58	15	gravity	gravity	NOUN
aps-38	58	16	models	model	NOUN
aps-38	58	17	is	be	AUX
aps-38	58	18	not	not	PART
aps-38	58	19	too	too	ADV
aps-38	58	20	difficult	difficult	ADJ
aps-38	58	21	to	to	PART
aps-38	58	22	comprehend	comprehend	VERB
aps-38	58	23	.	.	PUNCT
aps-38	59	1	where	where	SCONJ
aps-38	59	2	the	the	DET
aps-38	59	3	challenges	challenge	NOUN
aps-38	59	4	begin	begin	VERB
aps-38	59	5	is	be	AUX
aps-38	59	6	in	in	ADP
aps-38	59	7	running	run	VERB
aps-38	59	8	a	a	DET
aps-38	59	9	spatial	spatial	ADJ
aps-38	59	10	interaction	interaction	NOUN
aps-38	59	11	model	model	NOUN
aps-38	59	12	in	in	ADP
aps-38	59	13	practice	practice	NOUN
aps-38	59	14	.	.	PUNCT
aps-38	60	1	in	in	ADP
aps-38	60	2	the	the	DET
aps-38	60	3	1970s	1970	NOUN
aps-38	60	4	and	and	CCONJ
aps-38	60	5	1980s	1980	NOUN
aps-38	60	6	,	,	PUNCT
aps-38	60	7	when	when	SCONJ
aps-38	60	8	spatial	spatial	ADJ
aps-38	60	9	interaction	interaction	NOUN
aps-38	60	10	modelling	modelling	NOUN
aps-38	60	11	was	be	AUX
aps-38	60	12	being	be	AUX
aps-38	60	13	established	establish	VERB
aps-38	60	14	as	as	ADP
aps-38	60	15	part	part	NOUN
aps-38	60	16	of	of	ADP
aps-38	60	17	the	the	DET
aps-38	60	18	tool	tool	NOUN
aps-38	60	19	kit	kit	NOUN
aps-38	60	20	for	for	ADP
aps-38	60	21	people	people	NOUN
aps-38	60	22	working	work	VERB
aps-38	60	23	on	on	ADP
aps-38	60	24	spatial	spatial	ADJ
aps-38	60	25	problems	problem	NOUN
aps-38	60	26	,	,	PUNCT
aps-38	60	27	running	run	VERB
aps-38	60	28	a	a	DET
aps-38	60	29	model	model	NOUN
aps-38	60	30	would	would	AUX
aps-38	60	31	require	require	VERB
aps-38	60	32	some	some	DET
aps-38	60	33	fairly	fairly	ADV
aps-38	60	34	high	high	ADJ
aps-38	60	35	-	-	PUNCT
aps-38	60	36	level	level	NOUN
aps-38	60	37	computer	computer	NOUN
aps-38	60	38	programming	programming	NOUN
aps-38	60	39	knowledge	knowledge	NOUN
aps-38	60	40	.	.	PUNCT
aps-38	61	1	today	today	NOUN
aps-38	61	2	,	,	PUNCT
aps-38	61	3	however	however	ADV
aps-38	61	4	,	,	PUNCT
aps-38	61	5	software	software	NOUN
aps-38	61	6	has	have	AUX
aps-38	61	7	advanced	advance	VERB
aps-38	61	8	and	and	CCONJ
aps-38	61	9	more	more	ADJ
aps-38	61	10	forgiving	forgiving	ADJ
aps-38	61	11	languages	language	NOUN
aps-38	61	12	such	such	ADJ
aps-38	61	13	as	as	ADP
aps-38	61	14	python	python	NOUN
aps-38	61	15	and	and	CCONJ
aps-38	61	16	r	r	NOUN
aps-38	61	17	mean	mean	VERB
aps-38	61	18	that	that	SCONJ
aps-38	61	19	spatial	spatial	ADJ
aps-38	61	20	interaction	interaction	NOUN
aps-38	61	21	models	model	NOUN
aps-38	61	22	can	can	AUX
aps-38	61	23	be	be	AUX
aps-38	61	24	used	use	VERB
aps-38	61	25	as	as	ADP
aps-38	61	26	a	a	DET
aps-38	61	27	tool	tool	NOUN
aps-38	61	28	by	by	ADP
aps-38	61	29	many	many	ADJ
aps-38	61	30	more	more	ADJ
aps-38	61	31	researchers	researcher	NOUN
aps-38	61	32	.	.	PUNCT
aps-38	62	1	in	in	ADP
aps-38	62	2	this	this	DET
aps-38	62	3	guide	guide	NOUN
aps-38	62	4	we	we	PRON
aps-38	62	5	will	will	AUX
aps-38	62	6	be	be	AUX
aps-38	62	7	using	use	VERB
aps-38	62	8	r	r	NOUN
aps-38	62	9	,	,	PUNCT
aps-38	62	10	with	with	ADP
aps-38	62	11	details	detail	NOUN
aps-38	62	12	of	of	ADP
aps-38	62	13	the	the	DET
aps-38	62	14	full	full	ADJ
aps-38	62	15	implementation	implementation	NOUN
aps-38	62	16	referred	refer	VERB
aps-38	62	17	to	to	ADP
aps-38	62	18	in	in	ADP
aps-38	62	19	this	this	DET
aps-38	62	20	paper	paper	NOUN
aps-38	62	21	found	find	VERB
aps-38	62	22	in	in	ADP
aps-38	62	23	an	an	DET
aps-38	62	24	accompanying	accompany	VERB
aps-38	62	25	walk	walk	NOUN
aps-38	62	26	-	-	PUNCT
aps-38	62	27	through	through	ADP
aps-38	62	28	guide	guide	NOUN
aps-38	62	29	designed	design	VERB
aps-38	62	30	to	to	PART
aps-38	62	31	be	be	AUX
aps-38	62	32	worked	work	VERB
aps-38	62	33	through	through	ADP
aps-38	62	34	while	while	SCONJ
aps-38	62	35	reading	read	VERB
aps-38	62	36	the	the	DET
aps-38	62	37	text	text	NOUN
aps-38	62	38	here	here	ADV
aps-38	62	39	.	.	PUNCT
aps-38	63	1	the	the	DET
aps-38	63	2	guide	guide	NOUN
aps-38	63	3	includes	include	VERB
aps-38	63	4	all	all	PRON
aps-38	63	5	of	of	ADP
aps-38	63	6	the	the	DET
aps-38	63	7	data	datum	NOUN
aps-38	63	8	and	and	CCONJ
aps-38	63	9	code	code	NOUN
aps-38	63	10	you	you	PRON
aps-38	63	11	need	need	VERB
aps-38	63	12	to	to	PART
aps-38	63	13	run	run	VERB
aps-38	63	14	a	a	DET
aps-38	63	15	spatial	spatial	ADJ
aps-38	63	16	interaction	interaction	NOUN
aps-38	63	17	model	model	NOUN
aps-38	63	18	,	,	PUNCT
aps-38	63	19	and	and	CCONJ
aps-38	63	20	can	can	AUX
aps-38	63	21	be	be	AUX
aps-38	63	22	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	ADP
aps-38	63	23	36	36	NUM
aps-38	63	24	dennett	dennett	PROPN
aps-38	63	25	australian	australian	ADJ
aps-38	63	26	population	population	NOUN
aps-38	63	27	studies	study	NOUN
aps-38	63	28	2	2	NUM
aps-38	63	29	(	(	PUNCT
aps-38	63	30	2	2	NUM
aps-38	63	31	)	)	PUNCT
aps-38	63	32	2018	2018	NUM
aps-38	63	33	accessed	access	VERB
aps-38	63	34	via	via	ADP
aps-38	63	35	the	the	DET
aps-38	63	36	link	link	NOUN
aps-38	63	37	at	at	ADP
aps-38	63	38	the	the	DET
aps-38	63	39	beginning	beginning	NOUN
aps-38	63	40	of	of	ADP
aps-38	63	41	this	this	DET
aps-38	63	42	paper1	paper1	NOUN
aps-38	63	43	.	.	PUNCT
aps-38	64	1	if	if	SCONJ
aps-38	64	2	,	,	PUNCT
aps-38	64	3	however	however	ADV
aps-38	64	4	,	,	PUNCT
aps-38	64	5	you	you	PRON
aps-38	64	6	would	would	AUX
aps-38	64	7	like	like	VERB
aps-38	64	8	to	to	PART
aps-38	64	9	explore	explore	VERB
aps-38	64	10	these	these	DET
aps-38	64	11	models	model	NOUN
aps-38	64	12	in	in	ADP
aps-38	64	13	python	python	PROPN
aps-38	64	14	,	,	PUNCT
aps-38	64	15	then	then	ADV
aps-38	64	16	oshan	oshan	PROPN
aps-38	64	17	(	(	PUNCT
aps-38	64	18	2016	2016	NUM
aps-38	64	19	)	)	PUNCT
aps-38	64	20	has	have	AUX
aps-38	64	21	written	write	VERB
aps-38	64	22	an	an	DET
aps-38	64	23	excellent	excellent	ADJ
aps-38	64	24	primer	primer	NOUN
aps-38	64	25	that	that	PRON
aps-38	64	26	is	be	AUX
aps-38	64	27	worth	worth	ADJ
aps-38	64	28	reading	reading	NOUN
aps-38	64	29	,	,	PUNCT
aps-38	64	30	while	while	SCONJ
aps-38	64	31	dan	dan	PROPN
aps-38	64	32	lewis	lewis	PROPN
aps-38	64	33	has	have	AUX
aps-38	64	34	translated	translate	VERB
aps-38	64	35	a	a	DET
aps-38	64	36	similar	similar	ADJ
aps-38	64	37	r	r	NOUN
aps-38	64	38	walk	walk	NOUN
aps-38	64	39	-	-	PUNCT
aps-38	64	40	through	through	NOUN
aps-38	64	41	of	of	ADP
aps-38	64	42	mine	mine	PRON
aps-38	64	43	into	into	ADP
aps-38	64	44	python	python	NOUN
aps-38	64	45	using	use	VERB
aps-38	64	46	uk	uk	PROPN
aps-38	64	47	data2	data2	PROPN
aps-38	64	48	.	.	PUNCT
aps-38	65	1	for	for	ADP
aps-38	65	2	consistency	consistency	NOUN
aps-38	65	3	,	,	PUNCT
aps-38	65	4	oshun	oshun	PROPN
aps-38	65	5	’s	’s	PART
aps-38	65	6	notation	notation	NOUN
aps-38	65	7	is	be	AUX
aps-38	65	8	adopted	adopt	VERB
aps-38	65	9	in	in	ADP
aps-38	65	10	this	this	DET
aps-38	65	11	paper	paper	NOUN
aps-38	65	12	.	.	PUNCT
aps-38	66	1	2.1	2.1	NUM
aps-38	66	2	.	.	PUNCT
aps-38	66	3	data	datum	NOUN
aps-38	66	4	to	to	PART
aps-38	66	5	illustrate	illustrate	VERB
aps-38	66	6	the	the	DET
aps-38	66	7	modelling	modelling	NOUN
aps-38	66	8	exercise	exercise	NOUN
aps-38	66	9	,	,	PUNCT
aps-38	66	10	migration	migration	NOUN
aps-38	66	11	data	datum	NOUN
aps-38	66	12	(	(	PUNCT
aps-38	66	13	derived	derive	VERB
aps-38	66	14	from	from	ADP
aps-38	66	15	the	the	DET
aps-38	66	16	answer	answer	NOUN
aps-38	66	17	about	about	ADP
aps-38	66	18	previous	previous	ADJ
aps-38	66	19	residence	residence	NOUN
aps-38	66	20	5	5	NUM
aps-38	66	21	years	year	NOUN
aps-38	66	22	ago	ago	ADV
aps-38	66	23	–	–	PUNCT
aps-38	66	24	therefore	therefore	ADV
aps-38	66	25	comprising	comprise	VERB
aps-38	66	26	5	5	NUM
aps-38	66	27	-	-	PUNCT
aps-38	66	28	year	year	NOUN
aps-38	66	29	transitions	transition	NOUN
aps-38	66	30	)	)	PUNCT
aps-38	66	31	from	from	ADP
aps-38	66	32	the	the	DET
aps-38	66	33	2011	2011	NUM
aps-38	66	34	census	census	NOUN
aps-38	66	35	have	have	AUX
aps-38	66	36	been	be	AUX
aps-38	66	37	obtained	obtain	VERB
aps-38	66	38	.	.	PUNCT
aps-38	67	1	these	these	DET
aps-38	67	2	data	datum	NOUN
aps-38	67	3	are	be	AUX
aps-38	67	4	at	at	ADP
aps-38	67	5	the	the	DET
aps-38	67	6	greater	great	ADJ
aps-38	67	7	capital	capital	NOUN
aps-38	67	8	city	city	NOUN
aps-38	67	9	statistical	statistical	ADJ
aps-38	67	10	area	area	NOUN
aps-38	67	11	(	(	PUNCT
aps-38	67	12	gccsa	gccsa	ADJ
aps-38	67	13	)	)	PUNCT
aps-38	67	14	level	level	NOUN
aps-38	67	15	,	,	PUNCT
aps-38	67	16	which	which	PRON
aps-38	67	17	is	be	AUX
aps-38	67	18	comprised	comprise	VERB
aps-38	67	19	of	of	ADP
aps-38	67	20	15	15	NUM
aps-38	67	21	zones	zone	NOUN
aps-38	67	22	(	(	PUNCT
aps-38	67	23	figure	figure	NOUN
aps-38	67	24	1	1	NUM
aps-38	67	25	)	)	PUNCT
aps-38	67	26	.	.	PUNCT
aps-38	68	1	figure	figure	VERB
aps-38	68	2	1	1	NUM
aps-38	68	3	:	:	SYM
aps-38	68	4	five	five	NUM
aps-38	68	5	-	-	PUNCT
aps-38	68	6	year	year	NOUN
aps-38	68	7	migration	migration	NOUN
aps-38	68	8	flows	flow	NOUN
aps-38	68	9	between	between	ADP
aps-38	68	10	gccsas	gccsa	NOUN
aps-38	68	11	,	,	PUNCT
aps-38	68	12	2006–2011	2006–2011	NUM
aps-38	68	13	source	source	NOUN
aps-38	68	14	:	:	PUNCT
aps-38	68	15	abs	ab	VERB
aps-38	68	16	2011	2011	NUM
aps-38	68	17	census	census	NOUN
aps-38	68	18	.	.	PUNCT
aps-38	69	1	note	note	NOUN
aps-38	69	2	:	:	PUNCT
aps-38	69	3	line	line	NOUN
aps-38	69	4	weights	weight	NOUN
aps-38	69	5	indicative	indicative	ADJ
aps-38	69	6	of	of	ADP
aps-38	69	7	volumes	volume	NOUN
aps-38	69	8	.	.	PUNCT
aps-38	70	1	1	1	NUM
aps-38	70	2	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	SYM
aps-38	70	3	2	2	NUM
aps-38	70	4	https://github.com/danlewis85/ucl_casa_urban_simulation	https://github.com/danlewis85/ucl_casa_urban_simulation	NOUN
aps-38	70	5	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	PROPN
aps-38	70	6	https://github.com/danlewis85/ucl_casa_urban_simulation	https://github.com/danlewis85/ucl_casa_urban_simulation	NOUN
aps-38	70	7	australian	australian	ADJ
aps-38	70	8	population	population	NOUN
aps-38	70	9	studies	study	NOUN
aps-38	70	10	2	2	NUM
aps-38	70	11	(	(	PUNCT
aps-38	70	12	2	2	NUM
aps-38	70	13	)	)	PUNCT
aps-38	70	14	2018	2018	NUM
aps-38	70	15	dennett	dennett	PROPN
aps-38	70	16	37	37	NUM
aps-38	70	17	accompanying	accompany	VERB
aps-38	70	18	the	the	DET
aps-38	70	19	migration	migration	NOUN
aps-38	70	20	flows	flow	NOUN
aps-38	70	21	are	be	AUX
aps-38	70	22	variables	variable	NOUN
aps-38	70	23	for	for	ADP
aps-38	70	24	each	each	DET
aps-38	70	25	origin	origin	NOUN
aps-38	70	26	and	and	CCONJ
aps-38	70	27	destination	destination	NOUN
aps-38	70	28	relating	relate	VERB
aps-38	70	29	to	to	ADP
aps-38	70	30	:	:	PUNCT
aps-38	70	31	•	•	NUM
aps-38	70	32	total	total	ADJ
aps-38	70	33	population	population	NOUN
aps-38	70	34	•	•	NOUN
aps-38	70	35	unemployment	unemployment	NOUN
aps-38	70	36	rate	rate	NOUN
aps-38	71	1	•	•	NUM
aps-38	71	2	median	median	ADJ
aps-38	71	3	weekly	weekly	ADJ
aps-38	71	4	income	income	NOUN
aps-38	71	5	•	•	NOUN
aps-38	71	6	percentage	percentage	NOUN
aps-38	71	7	of	of	ADP
aps-38	71	8	households	household	NOUN
aps-38	71	9	living	live	VERB
aps-38	71	10	in	in	ADP
aps-38	71	11	rented	rent	VERB
aps-38	71	12	accommodation	accommodation	NOUN
aps-38	71	13	.	.	PUNCT
aps-38	72	1	these	these	DET
aps-38	72	2	variables	variable	NOUN
aps-38	72	3	can	can	AUX
aps-38	72	4	be	be	AUX
aps-38	72	5	used	use	VERB
aps-38	72	6	to	to	PART
aps-38	72	7	try	try	VERB
aps-38	72	8	and	and	CCONJ
aps-38	72	9	explain	explain	VERB
aps-38	72	10	observed	observed	ADJ
aps-38	72	11	migration	migration	NOUN
aps-38	72	12	flows	flow	NOUN
aps-38	72	13	or	or	CCONJ
aps-38	72	14	predict	predict	VERB
aps-38	72	15	flows	flow	NOUN
aps-38	72	16	if	if	SCONJ
aps-38	72	17	none	none	NOUN
aps-38	72	18	are	be	AUX
aps-38	72	19	available	available	ADJ
aps-38	72	20	.	.	PUNCT
aps-38	73	1	a	a	DET
aps-38	73	2	table	table	NOUN
aps-38	73	3	containing	contain	VERB
aps-38	73	4	origin	origin	NOUN
aps-38	73	5	/	/	SYM
aps-38	73	6	destination	destination	NOUN
aps-38	73	7	pairs	pair	NOUN
aps-38	73	8	,	,	PUNCT
aps-38	73	9	the	the	DET
aps-38	73	10	flows	flow	NOUN
aps-38	73	11	between	between	ADP
aps-38	73	12	them	they	PRON
aps-38	73	13	and	and	CCONJ
aps-38	73	14	these	these	DET
aps-38	73	15	origin	origin	NOUN
aps-38	73	16	and	and	CCONJ
aps-38	73	17	destination	destination	NOUN
aps-38	73	18	specific	specific	ADJ
aps-38	73	19	variables	variable	NOUN
aps-38	73	20	can	can	AUX
aps-38	73	21	be	be	AUX
aps-38	73	22	observed	observe	VERB
aps-38	73	23	in	in	ADP
aps-38	73	24	table	table	NOUN
aps-38	73	25	1	1	NUM
aps-38	73	26	and	and	CCONJ
aps-38	73	27	is	be	AUX
aps-38	73	28	downloadable	downloadable	ADJ
aps-38	73	29	in	in	ADP
aps-38	73	30	the	the	DET
aps-38	73	31	accompanying	accompanying	ADJ
aps-38	73	32	exercise	exercise	NOUN
aps-38	73	33	.	.	PUNCT
aps-38	74	1	table	table	NOUN
aps-38	74	2	1	1	NUM
aps-38	74	3	:	:	PUNCT
aps-38	74	4	sample	sample	NOUN
aps-38	74	5	of	of	ADP
aps-38	74	6	pair	pair	NOUN
aps-38	74	7	-	-	PUNCT
aps-38	74	8	wise	wise	ADJ
aps-38	74	9	migration	migration	NOUN
aps-38	74	10	flow	flow	NOUN
aps-38	74	11	data	datum	NOUN
aps-38	74	12	with	with	ADP
aps-38	74	13	accompanying	accompany	VERB
aps-38	74	14	data	datum	NOUN
aps-38	74	15	relating	relate	VERB
aps-38	74	16	to	to	ADP
aps-38	74	17	origin	origin	NOUN
aps-38	74	18	and	and	CCONJ
aps-38	74	19	destination	destination	NOUN
aps-38	74	20	characteristics	characteristics	PROPN
aps-38	74	21	origin	origin	NOUN
aps-38	74	22	destination	destination	NOUN
aps-38	74	23	flow	flow	NOUN
aps-38	74	24	origpop	origpop	NOUN
aps-38	74	25	destpop	destpop	NOUN
aps-38	74	26	orig	orig	NOUN
aps-38	74	27	unemp	unemp	NOUN
aps-38	74	28	dest	dest	ADJ
aps-38	74	29	unemp	unemp	NOUN
aps-38	74	30	orig	orig	NOUN
aps-38	74	31	med	med	ADJ
aps-38	74	32	income	income	NOUN
aps-38	74	33	dest	dest	ADJ
aps-38	75	1	med	med	ADJ
aps-38	75	2	income	income	NOUN
aps-38	75	3	orig	orig	NOUN
aps-38	75	4	%	%	NOUN
aps-38	75	5	rented	rent	VERB
aps-38	75	6	dest	dest	ADJ
aps-38	75	7	%	%	NOUN
aps-38	75	8	rented	rent	VERB
aps-38	75	9	greater	great	ADJ
aps-38	75	10	sydney	sydney	NOUN
aps-38	75	11	greater	great	ADJ
aps-38	75	12	sydney	sydney	PROPN
aps-38	75	13	3,395,019	3,395,019	NUM
aps-38	75	14	4,391,673	4,391,673	NUM
aps-38	75	15	4,391,673	4,391,673	NUM
aps-38	75	16	5.74	5.74	NUM
aps-38	75	17	5.74	5.74	NUM
aps-38	75	18	780.64	780.64	NUM
aps-38	75	19	780.64	780.64	NUM
aps-38	75	20	31.77	31.77	NUM
aps-38	75	21	31.77	31.77	NUM
aps-38	75	22	greater	great	ADJ
aps-38	75	23	sydney	sydney	PROPN
aps-38	75	24	rest	rest	NOUN
aps-38	75	25	of	of	ADP
aps-38	75	26	nsw	nsw	PROPN
aps-38	75	27	91,043	91,043	NUM
aps-38	75	28	4,391,673	4,391,673	NUM
aps-38	75	29	2,512,952	2,512,952	NUM
aps-38	75	30	5.74	5.74	NUM
aps-38	75	31	6.12	6.12	NUM
aps-38	75	32	780.64	780.64	NUM
aps-38	75	33	509.97	509.97	NUM
aps-38	75	34	31.77	31.77	NUM
aps-38	75	35	27.20	27.20	NUM
aps-38	75	36	greater	great	ADJ
aps-38	75	37	sydney	sydney	NOUN
aps-38	75	38	greater	great	ADJ
aps-38	75	39	melbourne	melbourne	PROPN
aps-38	75	40	22,605	22,605	NUM
aps-38	75	41	4,391,673	4,391,673	NUM
aps-38	75	42	3,999,981	3,999,981	NUM
aps-38	75	43	5.74	5.74	NUM
aps-38	75	44	5.47	5.47	NUM
aps-38	75	45	780.64	780.64	NUM
aps-38	75	46	407.95	407.95	NUM
aps-38	75	47	31.77	31.77	NUM
aps-38	75	48	27.34	27.34	NUM
aps-38	75	49	greater	great	ADJ
aps-38	75	50	sydney	sydney	PROPN
aps-38	75	51	rest	rest	NOUN
aps-38	75	52	of	of	ADP
aps-38	75	53	vic	vic	PROPN
aps-38	75	54	.	.	PROPN
aps-38	76	1	4,420	4,420	NUM
aps-38	76	2	4,391,673	4,391,673	NUM
aps-38	76	3	1,345,717	1,345,717	NUM
aps-38	76	4	5.74	5.74	NUM
aps-38	76	5	5.17	5.17	NUM
aps-38	76	6	780.64	780.64	NUM
aps-38	76	7	506.58	506.58	NUM
aps-38	76	8	31.77	31.77	NUM
aps-38	76	9	24.08	24.08	NUM
aps-38	76	10	greater	great	ADJ
aps-38	76	11	sydney	sydney	NOUN
aps-38	76	12	greater	great	ADJ
aps-38	76	13	brisbane	brisbane	NOUN
aps-38	76	14	22,874	22,874	NUM
aps-38	76	15	4,391,673	4,391,673	NUM
aps-38	76	16	2,065,998	2,065,998	NUM
aps-38	76	17	5.74	5.74	NUM
aps-38	76	18	5.86	5.86	NUM
aps-38	76	19	780.64	780.64	NUM
aps-38	76	20	767.08	767.08	NUM
aps-38	76	21	31.77	31.77	NUM
aps-38	76	22	33.19	33.19	NUM
aps-38	76	23	greater	great	ADJ
aps-38	76	24	sydney	sydney	PROPN
aps-38	76	25	rest	rest	NOUN
aps-38	76	26	of	of	ADP
aps-38	76	27	qld	qld	PROPN
aps-38	76	28	27,447	27,447	NUM
aps-38	76	29	4,391,673	4,391,673	NUM
aps-38	76	30	2,253,723	2,253,723	NUM
aps-38	76	31	5.74	5.74	NUM
aps-38	76	32	6.22	6.22	NUM
aps-38	76	33	780.64	780.64	NUM
aps-38	76	34	446.48	446.48	NUM
aps-38	76	35	31.77	31.77	NUM
aps-38	76	36	32.57	32.57	NUM
aps-38	76	37	greater	great	ADJ
aps-38	76	38	sydney	sydney	PROPN
aps-38	76	39	greater	great	ADJ
aps-38	76	40	adelaide	adelaide	PROPN
aps-38	76	41	5,829	5,829	NUM
aps-38	76	42	4,391,673	4,391,673	NUM
aps-38	76	43	1,225,235	1,225,235	NUM
aps-38	76	44	5.74	5.74	NUM
aps-38	76	45	5.78	5.78	NUM
aps-38	76	46	780.64	780.64	NUM
aps-38	76	47	445.53	445.53	NUM
aps-38	76	48	31.77	31.77	NUM
aps-38	76	49	28.27	28.27	NUM
aps-38	76	50	greater	great	ADJ
aps-38	76	51	sydney	sydney	PROPN
aps-38	76	52	rest	rest	NOUN
aps-38	76	53	of	of	ADP
aps-38	76	54	sa	sa	PROPN
aps-38	76	55	795	795	NUM
aps-38	76	56	4,391,673	4,391,673	NUM
aps-38	76	57	368,260	368,260	NUM
aps-38	76	58	5.74	5.74	NUM
aps-38	76	59	5.45	5.45	NUM
aps-38	76	60	780.64	780.64	NUM
aps-38	76	61	522.71	522.71	NUM
aps-38	76	62	31.77	31.77	NUM
aps-38	76	63	26.17	26.17	NUM
aps-38	76	64	greater	great	ADJ
aps-38	76	65	sydney	sydney	PROPN
aps-38	76	66	greater	great	ADJ
aps-38	76	67	perth	perth	NOUN
aps-38	76	68	10,572	10,572	NUM
aps-38	76	69	4,391,673	4,391,673	NUM
aps-38	76	70	1,728,865	1,728,865	NUM
aps-38	76	71	5.74	5.74	NUM
aps-38	76	72	4.76	4.76	NUM
aps-38	76	73	780.64	780.64	NUM
aps-38	76	74	730.84	730.84	NUM
aps-38	76	75	31.77	31.77	NUM
aps-38	76	76	27.52	27.52	NUM
aps-38	76	77	source	source	NOUN
aps-38	76	78	:	:	PUNCT
aps-38	76	79	abs	ab	VERB
aps-38	76	80	2011	2011	NUM
aps-38	76	81	census	census	NOUN
aps-38	76	82	2.2	2.2	NUM
aps-38	76	83	.	.	PUNCT
aps-38	77	1	the	the	DET
aps-38	77	2	‘	'	PUNCT
aps-38	77	3	unconstrained	unconstrained	ADJ
aps-38	77	4	’	'	PUNCT
aps-38	77	5	/	/	SYM
aps-38	77	6	‘	'	PUNCT
aps-38	77	7	total	total	ADJ
aps-38	77	8	constrained	constrain	VERB
aps-38	77	9	’	'	PUNCT
aps-38	77	10	spatial	spatial	ADJ
aps-38	77	11	interaction	interaction	NOUN
aps-38	77	12	model	model	NOUN
aps-38	77	13	2.2.1	2.2.1	NUM
aps-38	77	14	.	.	PUNCT
aps-38	78	1	the	the	DET
aps-38	78	2	multiplicative	multiplicative	ADJ
aps-38	78	3	modelling	modelling	NOUN
aps-38	78	4	framework	framework	NOUN
aps-38	78	5	the	the	DET
aps-38	78	6	classic	classic	ADJ
aps-38	78	7	gravity	gravity	NOUN
aps-38	78	8	model	model	NOUN
aps-38	78	9	,	,	PUNCT
aps-38	78	10	which	which	PRON
aps-38	78	11	estimates	estimate	VERB
aps-38	78	12	flows	flow	VERB
aps-38	78	13	/	/	SYM
aps-38	78	14	interactions	interaction	NOUN
aps-38	78	15	as	as	ADP
aps-38	78	16	a	a	DET
aps-38	78	17	function	function	NOUN
aps-38	78	18	of	of	ADP
aps-38	78	19	predictor	predictor	NOUN
aps-38	78	20	variables	variable	NOUN
aps-38	78	21	(	(	PUNCT
aps-38	78	22	a	a	DET
aps-38	78	23	model	model	NOUN
aps-38	78	24	virtually	virtually	ADV
aps-38	78	25	identical	identical	ADJ
aps-38	78	26	to	to	ADP
aps-38	78	27	that	that	PRON
aps-38	78	28	used	use	VERB
aps-38	78	29	by	by	ADP
aps-38	78	30	zipf	zipf	NOUN
aps-38	78	31	)	)	PUNCT
aps-38	78	32	,	,	PUNCT
aps-38	78	33	can	can	AUX
aps-38	78	34	be	be	AUX
aps-38	78	35	written	write	VERB
aps-38	78	36	as	as	SCONJ
aps-38	78	37	follows	follow	VERB
aps-38	78	38	:	:	PUNCT
aps-38	78	39	𝑇𝑇𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	78	40	=	=	SYM
aps-38	78	41	𝑘𝑘	𝑘𝑘	NOUN
aps-38	78	42	𝑉𝑉𝑖𝑖	𝑉𝑉𝑖𝑖	PROPN
aps-38	78	43	𝜇𝜇𝑊𝑊𝑗𝑗	𝜇𝜇𝑊𝑊𝑗𝑗	PROPN
aps-38	78	44	𝛼𝛼	𝛼𝛼	ADP
aps-38	78	45	𝑑𝑑𝑖𝑖𝑗𝑗	𝑑𝑑𝑖𝑖𝑗𝑗	NOUN
aps-38	78	46	𝛽𝛽	𝛽𝛽	ADP
aps-38	78	47	(	(	PUNCT
aps-38	78	48	1	1	X
aps-38	78	49	)	)	PUNCT
aps-38	78	50	this	this	DET
aps-38	78	51	model	model	NOUN
aps-38	78	52	can	can	AUX
aps-38	78	53	be	be	AUX
aps-38	78	54	rearranged	rearrange	VERB
aps-38	78	55	and	and	CCONJ
aps-38	78	56	written	write	VERB
aps-38	78	57	in	in	ADP
aps-38	78	58	the	the	DET
aps-38	78	59	multiplicative	multiplicative	ADJ
aps-38	78	60	form	form	NOUN
aps-38	78	61	more	more	ADV
aps-38	78	62	familiar	familiar	ADJ
aps-38	78	63	from	from	ADP
aps-38	78	64	wilson	wilson	PROPN
aps-38	78	65	’s	’s	PART
aps-38	78	66	1971	1971	NUM
aps-38	78	67	paper	paper	NOUN
aps-38	78	68	:	:	PUNCT
aps-38	79	1	𝑇𝑇𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	79	2	=	=	SYM
aps-38	79	3	𝑘𝑘𝑉𝑉𝑖𝑖	𝑘𝑘𝑉𝑉𝑖𝑖	PROPN
aps-38	79	4	𝜇𝜇𝑊𝑊𝑖𝑖	𝜇𝜇𝑊𝑊𝑖𝑖	NOUN
aps-38	79	5	𝛼𝛼𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	𝛼𝛼𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	NUM
aps-38	79	6	(	(	PUNCT
aps-38	79	7	2	2	NUM
aps-38	79	8	)	)	PUNCT
aps-38	79	9	38	38	NUM
aps-38	79	10	dennett	dennett	PROPN
aps-38	79	11	australian	australian	ADJ
aps-38	79	12	population	population	NOUN
aps-38	79	13	studies	study	NOUN
aps-38	79	14	2	2	NUM
aps-38	79	15	(	(	PUNCT
aps-38	79	16	2	2	NUM
aps-38	79	17	)	)	PUNCT
aps-38	79	18	2018	2018	NUM
aps-38	79	19	where	where	SCONJ
aps-38	79	20	:	:	PUNCT
aps-38	79	21	𝑇𝑇𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	79	22	is	be	AUX
aps-38	79	23	the	the	DET
aps-38	79	24	transition	transition	NOUN
aps-38	79	25	/	/	SYM
aps-38	79	26	trip	trip	NOUN
aps-38	79	27	or	or	CCONJ
aps-38	79	28	flow	flow	NOUN
aps-38	79	29	,	,	PUNCT
aps-38	79	30	𝑇𝑇	𝑇𝑇	PROPN
aps-38	79	31	,	,	PUNCT
aps-38	79	32	between	between	ADP
aps-38	79	33	origin	origin	NOUN
aps-38	79	34	𝑖𝑖	𝑖𝑖	INTJ
aps-38	79	35	(	(	PUNCT
aps-38	79	36	always	always	ADV
aps-38	79	37	the	the	DET
aps-38	79	38	rows	row	NOUN
aps-38	79	39	in	in	ADP
aps-38	79	40	a	a	DET
aps-38	79	41	matrix	matrix	NOUN
aps-38	79	42	)	)	PUNCT
aps-38	79	43	and	and	CCONJ
aps-38	79	44	destination	destination	NOUN
aps-38	79	45	𝑗𝑗	𝑗𝑗	NOUN
aps-38	79	46	(	(	PUNCT
aps-38	79	47	always	always	ADV
aps-38	79	48	the	the	DET
aps-38	79	49	columns	column	NOUN
aps-38	79	50	in	in	ADP
aps-38	79	51	a	a	DET
aps-38	79	52	matrix	matrix	NOUN
aps-38	79	53	)	)	PUNCT
aps-38	79	54	.	.	PUNCT
aps-38	80	1	if	if	SCONJ
aps-38	80	2	you	you	PRON
aps-38	80	3	are	be	AUX
aps-38	80	4	not	not	PART
aps-38	80	5	overly	overly	ADV
aps-38	80	6	familiar	familiar	ADJ
aps-38	80	7	with	with	ADP
aps-38	80	8	matrix	matrix	NOUN
aps-38	80	9	notation	notation	NOUN
aps-38	80	10	,	,	PUNCT
aps-38	80	11	the	the	DET
aps-38	80	12	𝑖𝑖	𝑖𝑖	NOUN
aps-38	80	13	and	and	CCONJ
aps-38	80	14	𝑗𝑗	𝑗𝑗	PROPN
aps-38	80	15	are	be	AUX
aps-38	80	16	just	just	ADV
aps-38	80	17	generic	generic	ADJ
aps-38	80	18	indexes	index	NOUN
aps-38	80	19	to	to	PART
aps-38	80	20	allow	allow	VERB
aps-38	80	21	us	we	PRON
aps-38	80	22	to	to	PART
aps-38	80	23	refer	refer	VERB
aps-38	80	24	to	to	ADP
aps-38	80	25	any	any	DET
aps-38	80	26	cell	cell	NOUN
aps-38	80	27	in	in	ADP
aps-38	80	28	the	the	DET
aps-38	80	29	matrix	matrix	NOUN
aps-38	80	30	.	.	PUNCT
aps-38	81	1	𝑉𝑉	𝑉𝑉	NOUN
aps-38	81	2	is	be	AUX
aps-38	81	3	a	a	DET
aps-38	81	4	vector	vector	NOUN
aps-38	81	5	(	(	PUNCT
aps-38	81	6	a	a	DET
aps-38	81	7	1	1	NUM
aps-38	81	8	dimensional	dimensional	ADJ
aps-38	81	9	matrix	matrix	NOUN
aps-38	81	10	–	–	PUNCT
aps-38	81	11	or	or	CCONJ
aps-38	81	12	,	,	PUNCT
aps-38	81	13	if	if	SCONJ
aps-38	81	14	you	you	PRON
aps-38	81	15	like	like	VERB
aps-38	81	16	,	,	PUNCT
aps-38	81	17	a	a	DET
aps-38	81	18	single	single	ADJ
aps-38	81	19	line	line	NOUN
aps-38	81	20	of	of	ADP
aps-38	81	21	numbers	number	NOUN
aps-38	81	22	)	)	PUNCT
aps-38	81	23	of	of	ADP
aps-38	81	24	origin	origin	NOUN
aps-38	81	25	attributes	attribute	NOUN
aps-38	81	26	which	which	PRON
aps-38	81	27	relate	relate	VERB
aps-38	81	28	to	to	ADP
aps-38	81	29	the	the	DET
aps-38	81	30	emissivity	emissivity	NOUN
aps-38	81	31	of	of	ADP
aps-38	81	32	all	all	DET
aps-38	81	33	origins	origin	NOUN
aps-38	81	34	in	in	ADP
aps-38	81	35	the	the	DET
aps-38	81	36	dataset	dataset	NOUN
aps-38	81	37	,	,	PUNCT
aps-38	81	38	𝑖𝑖	𝑖𝑖	INTJ
aps-38	81	39	–	–	PUNCT
aps-38	81	40	this	this	PRON
aps-38	81	41	could	could	AUX
aps-38	81	42	be	be	AUX
aps-38	81	43	any	any	PRON
aps-38	81	44	of	of	ADP
aps-38	81	45	the	the	DET
aps-38	81	46	origin	origin	NOUN
aps-38	81	47	-	-	PUNCT
aps-38	81	48	related	relate	VERB
aps-38	81	49	variables	variable	NOUN
aps-38	81	50	in	in	ADP
aps-38	81	51	table	table	NOUN
aps-38	81	52	1	1	NUM
aps-38	81	53	.	.	PUNCT
aps-38	82	1	𝑊𝑊	𝑊𝑊	PRON
aps-38	82	2	is	be	AUX
aps-38	82	3	a	a	DET
aps-38	82	4	vector	vector	NOUN
aps-38	82	5	of	of	ADP
aps-38	82	6	destination	destination	NOUN
aps-38	82	7	attributes	attribute	NOUN
aps-38	82	8	relating	relate	VERB
aps-38	82	9	to	to	ADP
aps-38	82	10	the	the	DET
aps-38	82	11	attractiveness	attractiveness	NOUN
aps-38	82	12	of	of	ADP
aps-38	82	13	all	all	DET
aps-38	82	14	destinations	destination	NOUN
aps-38	82	15	in	in	ADP
aps-38	82	16	the	the	DET
aps-38	82	17	dataset	dataset	NOUN
aps-38	82	18	,	,	PUNCT
aps-38	82	19	𝑗𝑗	𝑗𝑗	INTJ
aps-38	82	20	–	–	PUNCT
aps-38	82	21	similarly	similarly	ADV
aps-38	82	22	,	,	PUNCT
aps-38	82	23	this	this	PRON
aps-38	82	24	could	could	AUX
aps-38	82	25	be	be	AUX
aps-38	82	26	any	any	PRON
aps-38	82	27	of	of	ADP
aps-38	82	28	the	the	DET
aps-38	82	29	destination	destination	NOUN
aps-38	82	30	related	relate	VERB
aps-38	82	31	variables	variable	NOUN
aps-38	82	32	in	in	ADP
aps-38	82	33	table	table	NOUN
aps-38	82	34	1	1	NUM
aps-38	82	35	.	.	PUNCT
aps-38	83	1	𝑑𝑑	𝑑𝑑	PROPN
aps-38	83	2	is	be	AUX
aps-38	83	3	a	a	DET
aps-38	83	4	matrix	matrix	NOUN
aps-38	83	5	of	of	ADP
aps-38	83	6	costs	cost	NOUN
aps-38	83	7	(	(	PUNCT
aps-38	83	8	frequently	frequently	ADV
aps-38	83	9	distances	distance	VERB
aps-38	83	10	–	–	PUNCT
aps-38	83	11	hence	hence	ADV
aps-38	83	12	,	,	PUNCT
aps-38	83	13	d	d	X
aps-38	83	14	)	)	PUNCT
aps-38	83	15	relating	relate	VERB
aps-38	83	16	to	to	ADP
aps-38	83	17	the	the	DET
aps-38	83	18	flows	flow	NOUN
aps-38	83	19	between	between	ADP
aps-38	83	20	𝑖𝑖	𝑖𝑖	ADV
aps-38	83	21	and	and	CCONJ
aps-38	83	22	𝑗𝑗.	𝑗𝑗.	PROPN
aps-38	83	23	𝑘𝑘	𝑘𝑘	NOUN
aps-38	83	24	,	,	PUNCT
aps-38	83	25	𝜇𝜇	𝜇𝜇	ADP
aps-38	83	26	,	,	PUNCT
aps-38	83	27	𝛼𝛼	𝛼𝛼	ADP
aps-38	83	28	and	and	CCONJ
aps-38	83	29	𝛽𝛽	𝛽𝛽	NOUN
aps-38	83	30	are	be	AUX
aps-38	83	31	all	all	PRON
aps-38	83	32	model	model	NOUN
aps-38	83	33	parameters	parameter	NOUN
aps-38	83	34	to	to	PART
aps-38	83	35	be	be	AUX
aps-38	83	36	estimated	estimate	VERB
aps-38	83	37	.	.	PUNCT
aps-38	84	1	𝛽𝛽	𝛽𝛽	X
aps-38	84	2	is	be	AUX
aps-38	84	3	assumed	assume	VERB
aps-38	84	4	to	to	PART
aps-38	84	5	be	be	AUX
aps-38	84	6	negative	negative	ADJ
aps-38	84	7	,	,	PUNCT
aps-38	84	8	as	as	ADP
aps-38	84	9	with	with	ADP
aps-38	84	10	an	an	DET
aps-38	84	11	increase	increase	NOUN
aps-38	84	12	in	in	ADP
aps-38	84	13	cost	cost	NOUN
aps-38	84	14	/	/	SYM
aps-38	84	15	distance	distance	NOUN
aps-38	84	16	we	we	PRON
aps-38	84	17	would	would	AUX
aps-38	84	18	expect	expect	VERB
aps-38	84	19	interaction	interaction	NOUN
aps-38	84	20	to	to	PART
aps-38	84	21	decrease	decrease	VERB
aps-38	84	22	.	.	PUNCT
aps-38	85	1	wilson	wilson	PROPN
aps-38	85	2	’s	’s	PART
aps-38	85	3	term	term	NOUN
aps-38	85	4	for	for	ADP
aps-38	85	5	this	this	DET
aps-38	85	6	basic	basic	ADJ
aps-38	85	7	gravity	gravity	NOUN
aps-38	85	8	model	model	NOUN
aps-38	85	9	is	be	AUX
aps-38	85	10	the	the	DET
aps-38	85	11	‘	'	PUNCT
aps-38	85	12	unconstrained	unconstrained	ADJ
aps-38	85	13	’	'	PUNCT
aps-38	85	14	model	model	NOUN
aps-38	85	15	.	.	PUNCT
aps-38	86	1	however	however	ADV
aps-38	86	2	,	,	PUNCT
aps-38	86	3	𝑘𝑘	𝑘𝑘	PROPN
aps-38	86	4	is	be	AUX
aps-38	86	5	a	a	DET
aps-38	86	6	constant	constant	NOUN
aps-38	86	7	of	of	ADP
aps-38	86	8	proportionality	proportionality	NOUN
aps-38	86	9	and	and	CCONJ
aps-38	86	10	forces	force	NOUN
aps-38	86	11	all	all	DET
aps-38	86	12	flow	flow	NOUN
aps-38	86	13	estimates	estimate	NOUN
aps-38	86	14	to	to	PART
aps-38	86	15	add	add	VERB
aps-38	86	16	up	up	ADP
aps-38	86	17	to	to	ADP
aps-38	86	18	the	the	DET
aps-38	86	19	total	total	ADJ
aps-38	86	20	number	number	NOUN
aps-38	86	21	of	of	ADP
aps-38	86	22	flows	flow	NOUN
aps-38	86	23	observed	observe	VERB
aps-38	86	24	in	in	ADP
aps-38	86	25	a	a	DET
aps-38	86	26	system	system	NOUN
aps-38	86	27	.	.	PUNCT
aps-38	87	1	this	this	PRON
aps-38	87	2	leads	lead	VERB
aps-38	87	3	to	to	ADP
aps-38	87	4	this	this	DET
aps-38	87	5	particular	particular	ADJ
aps-38	87	6	model	model	NOUN
aps-38	87	7	being	be	AUX
aps-38	87	8	more	more	ADV
aps-38	87	9	accurately	accurately	ADV
aps-38	87	10	described	describe	VERB
aps-38	87	11	as	as	ADP
aps-38	87	12	a	a	DET
aps-38	87	13	‘	'	PUNCT
aps-38	87	14	total	total	ADJ
aps-38	87	15	constrained	constrain	VERB
aps-38	87	16	’	'	PUNCT
aps-38	87	17	model	model	NOUN
aps-38	87	18	,	,	PUNCT
aps-38	87	19	where	where	SCONJ
aps-38	87	20	:	:	PUNCT
aps-38	87	21	𝑘𝑘	𝑘𝑘	NOUN
aps-38	87	22	=	=	SYM
aps-38	87	23	𝑇𝑇	𝑇𝑇	PROPN
aps-38	87	24	∑	∑	PROPN
aps-38	87	25	∑	∑	PROPN
aps-38	87	26	𝑉𝑉𝑖𝑖	𝑉𝑉𝑖𝑖	PROPN
aps-38	87	27	𝜇𝜇𝑗𝑗𝑖𝑖	𝜇𝜇𝑗𝑗𝑖𝑖	VERB
aps-38	87	28	𝑊𝑊𝑗𝑗	𝑊𝑊𝑗𝑗	PROPN
aps-38	87	29	𝛼𝛼𝑑𝑑𝑖𝑖𝑗𝑗	𝛼𝛼𝑑𝑑𝑖𝑖𝑗𝑗	NOUN
aps-38	87	30	−𝛽𝛽	−𝛽𝛽	PROPN
aps-38	87	31	(	(	PUNCT
aps-38	87	32	3	3	NUM
aps-38	87	33	)	)	PUNCT
aps-38	87	34	and	and	CCONJ
aps-38	87	35	𝑇𝑇	𝑇𝑇	PROPN
aps-38	87	36	is	be	AUX
aps-38	87	37	the	the	DET
aps-38	87	38	sum	sum	NOUN
aps-38	87	39	of	of	ADP
aps-38	87	40	our	our	PRON
aps-38	87	41	matrix	matrix	NOUN
aps-38	87	42	of	of	ADP
aps-38	87	43	observed	observed	ADJ
aps-38	87	44	flows	flow	NOUN
aps-38	87	45	or	or	CCONJ
aps-38	87	46	:	:	PUNCT
aps-38	87	47	𝑇𝑇	𝑇𝑇	PROPN
aps-38	87	48	=	=	SYM
aps-38	87	49	∑	∑	PUNCT
aps-38	87	50	∑	∑	PUNCT
aps-38	87	51	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖	PROPN
aps-38	87	52	(	(	PUNCT
aps-38	87	53	4	4	NUM
aps-38	87	54	)	)	PUNCT
aps-38	87	55	in	in	ADP
aps-38	87	56	plain	plain	ADJ
aps-38	87	57	language	language	NOUN
aps-38	87	58	,	,	PUNCT
aps-38	87	59	this	this	PRON
aps-38	87	60	is	be	AUX
aps-38	87	61	just	just	ADV
aps-38	87	62	the	the	DET
aps-38	87	63	sum	sum	NOUN
aps-38	87	64	of	of	ADP
aps-38	87	65	all	all	DET
aps-38	87	66	observed	observe	VERB
aps-38	87	67	flows	flow	NOUN
aps-38	87	68	divided	divide	VERB
aps-38	87	69	by	by	ADP
aps-38	87	70	the	the	DET
aps-38	87	71	sum	sum	NOUN
aps-38	87	72	of	of	ADP
aps-38	87	73	all	all	PRON
aps-38	87	74	of	of	ADP
aps-38	87	75	the	the	DET
aps-38	87	76	other	other	ADJ
aps-38	87	77	elements	element	NOUN
aps-38	87	78	in	in	ADP
aps-38	87	79	the	the	DET
aps-38	87	80	model	model	NOUN
aps-38	87	81	.	.	PUNCT
aps-38	88	1	if	if	SCONJ
aps-38	88	2	we	we	PRON
aps-38	88	3	use	use	VERB
aps-38	88	4	distance	distance	NOUN
aps-38	88	5	as	as	ADP
aps-38	88	6	a	a	DET
aps-38	88	7	basic	basic	ADJ
aps-38	88	8	measure	measure	NOUN
aps-38	88	9	of	of	ADP
aps-38	88	10	cost	cost	NOUN
aps-38	88	11	,	,	PUNCT
aps-38	88	12	then	then	ADV
aps-38	88	13	the	the	DET
aps-38	88	14	simplest	simple	ADJ
aps-38	88	15	distance	distance	NOUN
aps-38	88	16	to	to	ADP
aps-38	88	17	measure	measure	VERB
aps-38	88	18	is	be	AUX
aps-38	88	19	the	the	DET
aps-38	88	20	euclidean	euclidean	ADJ
aps-38	88	21	distance	distance	NOUN
aps-38	88	22	between	between	ADP
aps-38	88	23	the	the	DET
aps-38	88	24	centroids	centroid	NOUN
aps-38	88	25	of	of	ADP
aps-38	88	26	the	the	DET
aps-38	88	27	zones	zone	NOUN
aps-38	88	28	for	for	ADP
aps-38	88	29	which	which	PRON
aps-38	88	30	you	you	PRON
aps-38	88	31	have	have	VERB
aps-38	88	32	data	datum	NOUN
aps-38	88	33	.	.	PUNCT
aps-38	89	1	in	in	ADP
aps-38	89	2	the	the	DET
aps-38	89	3	accompanying	accompanying	ADJ
aps-38	89	4	walkthrough	walkthrough	NOUN
aps-38	89	5	exercise	exercise	NOUN
aps-38	89	6	,	,	PUNCT
aps-38	89	7	the	the	DET
aps-38	89	8	process	process	NOUN
aps-38	89	9	of	of	ADP
aps-38	89	10	generating	generate	VERB
aps-38	89	11	a	a	DET
aps-38	89	12	distance	distance	NOUN
aps-38	89	13	matrix	matrix	NOUN
aps-38	89	14	from	from	ADP
aps-38	89	15	a	a	DET
aps-38	89	16	set	set	NOUN
aps-38	89	17	of	of	ADP
aps-38	89	18	gccsa	gccsa	ADJ
aps-38	89	19	boundaries	boundary	NOUN
aps-38	89	20	is	be	AUX
aps-38	89	21	demonstrated	demonstrate	VERB
aps-38	89	22	using	use	VERB
aps-38	89	23	the	the	DET
aps-38	89	24	spdists	spdist	NOUN
aps-38	89	25	(	(	PUNCT
aps-38	89	26	)	)	PUNCT
aps-38	89	27	function	function	NOUN
aps-38	89	28	in	in	ADP
aps-38	89	29	r.	r.	NOUN
aps-38	89	30	observing	observe	VERB
aps-38	89	31	equations	equation	NOUN
aps-38	89	32	1	1	NUM
aps-38	89	33	and	and	CCONJ
aps-38	89	34	2	2	NUM
aps-38	89	35	above	above	ADP
aps-38	89	36	you	you	PRON
aps-38	89	37	would	would	AUX
aps-38	89	38	be	be	AUX
aps-38	89	39	forgiven	forgive	VERB
aps-38	89	40	for	for	ADP
aps-38	89	41	asking	ask	VERB
aps-38	89	42	how	how	SCONJ
aps-38	89	43	the	the	DET
aps-38	89	44	values	value	NOUN
aps-38	89	45	for	for	ADP
aps-38	89	46	the	the	DET
aps-38	89	47	four	four	NUM
aps-38	89	48	parameters	parameter	NOUN
aps-38	89	49	are	be	AUX
aps-38	89	50	known	know	VERB
aps-38	89	51	or	or	CCONJ
aps-38	89	52	estimated	estimate	VERB
aps-38	89	53	.	.	PUNCT
aps-38	90	1	one	one	NUM
aps-38	90	2	solution	solution	NOUN
aps-38	90	3	could	could	AUX
aps-38	90	4	be	be	AUX
aps-38	90	5	to	to	PART
aps-38	90	6	simply	simply	ADV
aps-38	90	7	insert	insert	VERB
aps-38	90	8	some	some	DET
aps-38	90	9	arbitrary	arbitrary	ADJ
aps-38	90	10	or	or	CCONJ
aps-38	90	11	expected	expect	VERB
aps-38	90	12	values	value	NOUN
aps-38	90	13	as	as	ADP
aps-38	90	14	parameters	parameter	NOUN
aps-38	90	15	.	.	PUNCT
aps-38	91	1	this	this	PRON
aps-38	91	2	becomes	become	VERB
aps-38	91	3	more	more	ADV
aps-38	91	4	feasible	feasible	ADJ
aps-38	91	5	once	once	SCONJ
aps-38	91	6	we	we	PRON
aps-38	91	7	understand	understand	VERB
aps-38	91	8	what	what	PRON
aps-38	91	9	the	the	DET
aps-38	91	10	parameters	parameter	NOUN
aps-38	91	11	are	be	AUX
aps-38	91	12	in	in	ADP
aps-38	91	13	reality	reality	NOUN
aps-38	91	14	:	:	PUNCT
aps-38	91	15	they	they	PRON
aps-38	91	16	relate	relate	VERB
aps-38	91	17	to	to	ADP
aps-38	91	18	the	the	DET
aps-38	91	19	scaling	scale	VERB
aps-38	91	20	effect	effect	NOUN
aps-38	91	21	/	/	SYM
aps-38	91	22	importance	importance	NOUN
aps-38	91	23	of	of	ADP
aps-38	91	24	the	the	DET
aps-38	91	25	variables	variable	NOUN
aps-38	91	26	with	with	ADP
aps-38	91	27	which	which	PRON
aps-38	91	28	they	they	PRON
aps-38	91	29	are	be	AUX
aps-38	91	30	associated	associate	VERB
aps-38	91	31	.	.	PUNCT
aps-38	92	1	most	most	ADV
aps-38	92	2	simply	simply	ADV
aps-38	92	3	,	,	PUNCT
aps-38	92	4	where	where	SCONJ
aps-38	92	5	the	the	DET
aps-38	92	6	effects	effect	NOUN
aps-38	92	7	of	of	ADP
aps-38	92	8	origin	origin	NOUN
aps-38	92	9	and	and	CCONJ
aps-38	92	10	destination	destination	NOUN
aps-38	92	11	attributes	attribute	VERB
aps-38	92	12	on	on	ADP
aps-38	92	13	flows	flow	NOUN
aps-38	92	14	scale	scale	NOUN
aps-38	92	15	in	in	ADP
aps-38	92	16	a	a	DET
aps-38	92	17	linear	linear	ADJ
aps-38	92	18	fashion	fashion	NOUN
aps-38	92	19	(	(	PUNCT
aps-38	92	20	i.e.	i.e.	X
aps-38	92	21	for	for	ADP
aps-38	92	22	a	a	DET
aps-38	92	23	1	1	NUM
aps-38	92	24	unit	unit	NOUN
aps-38	92	25	increase	increase	NOUN
aps-38	92	26	in	in	ADP
aps-38	92	27	,	,	PUNCT
aps-38	92	28	say	say	INTJ
aps-38	92	29	,	,	PUNCT
aps-38	92	30	population	population	NOUN
aps-38	92	31	at	at	ADP
aps-38	92	32	origin	origin	NOUN
aps-38	92	33	,	,	PUNCT
aps-38	92	34	we	we	PRON
aps-38	92	35	might	might	AUX
aps-38	92	36	expect	expect	VERB
aps-38	92	37	a	a	DET
aps-38	92	38	1	1	NUM
aps-38	92	39	unit	unit	NOUN
aps-38	92	40	increase	increase	NOUN
aps-38	92	41	in	in	ADP
aps-38	92	42	flows	flow	NOUN
aps-38	92	43	of	of	ADP
aps-38	92	44	people	people	NOUN
aps-38	92	45	from	from	ADP
aps-38	92	46	that	that	DET
aps-38	92	47	origin	origin	NOUN
aps-38	92	48	;	;	PUNCT
aps-38	92	49	or	or	CCONJ
aps-38	92	50	for	for	ADP
aps-38	92	51	a	a	DET
aps-38	92	52	halving	halving	NOUN
aps-38	92	53	in	in	ADP
aps-38	92	54	average	average	ADJ
aps-38	92	55	salary	salary	NOUN
aps-38	92	56	at	at	ADP
aps-38	92	57	destination	destination	NOUN
aps-38	92	58	,	,	PUNCT
aps-38	92	59	we	we	PRON
aps-38	92	60	might	might	AUX
aps-38	92	61	expect	expect	VERB
aps-38	92	62	a	a	DET
aps-38	92	63	halving	halving	NOUN
aps-38	92	64	of	of	ADP
aps-38	92	65	migrants	migrant	NOUN
aps-38	92	66	)	)	PUNCT
aps-38	92	67	,	,	PUNCT
aps-38	92	68	then	then	ADV
aps-38	92	69	the	the	DET
aps-38	92	70	parameter	parameter	NOUN
aps-38	92	71	/	/	SYM
aps-38	92	72	scaling	scale	VERB
aps-38	92	73	factor	factor	NOUN
aps-38	92	74	for	for	ADP
aps-38	92	75	our	our	PRON
aps-38	92	76	origin	origin	NOUN
aps-38	92	77	variable	variable	NOUN
aps-38	92	78	would	would	AUX
aps-38	92	79	equal	equal	VERB
aps-38	92	80	1	1	NUM
aps-38	92	81	,	,	PUNCT
aps-38	92	82	e.g.	e.g.	ADV
aps-38	92	83	μ	μ	NOUN
aps-38	92	84	=	=	SYM
aps-38	92	85	1	1	NUM
aps-38	92	86	and	and	CCONJ
aps-38	92	87	α	α	NOUN
aps-38	92	88	=	=	SYM
aps-38	92	89	1	1	X
aps-38	92	90	.	.	X
aps-38	93	1	in	in	ADP
aps-38	93	2	newton	newton	PROPN
aps-38	93	3	’s	’s	PART
aps-38	93	4	original	original	ADJ
aps-38	93	5	gravity	gravity	NOUN
aps-38	93	6	equation	equation	NOUN
aps-38	93	7	the	the	DET
aps-38	93	8	negative	negative	ADJ
aps-38	93	9	influence	influence	NOUN
aps-38	93	10	of	of	ADP
aps-38	93	11	distance	distance	NOUN
aps-38	93	12	is	be	AUX
aps-38	93	13	not	not	PART
aps-38	93	14	linear	linear	ADJ
aps-38	93	15	.	.	PUNCT
aps-38	94	1	rather	rather	ADV
aps-38	94	2	,	,	PUNCT
aps-38	94	3	it	it	PRON
aps-38	94	4	follows	follow	VERB
aps-38	94	5	a	a	DET
aps-38	94	6	power	power	NOUN
aps-38	94	7	law	law	NOUN
aps-38	94	8	.	.	PUNCT
aps-38	95	1	for	for	ADP
aps-38	95	2	example	example	NOUN
aps-38	95	3	,	,	PUNCT
aps-38	95	4	where	where	SCONJ
aps-38	95	5	β	β	X
aps-38	95	6	=	=	X
aps-38	95	7	-2	-2	INTJ
aps-38	95	8	for	for	ADP
aps-38	95	9	a	a	DET
aps-38	95	10	1	1	NUM
aps-38	95	11	unit	unit	NOUN
aps-38	95	12	increase	increase	NOUN
aps-38	95	13	in	in	ADP
aps-38	95	14	distance	distance	NOUN
aps-38	95	15	,	,	PUNCT
aps-38	95	16	we	we	PRON
aps-38	95	17	have	have	VERB
aps-38	95	18	a	a	DET
aps-38	95	19	1	1	NUM
aps-38	95	20	-	-	SYM
aps-38	95	21	2	2	NUM
aps-38	95	22	(	(	PUNCT
aps-38	95	23	or	or	CCONJ
aps-38	95	24	1	1	NUM
aps-38	95	25	)	)	PUNCT
aps-38	95	26	australian	australian	ADJ
aps-38	95	27	population	population	NOUN
aps-38	95	28	studies	study	NOUN
aps-38	95	29	2	2	NUM
aps-38	95	30	(	(	PUNCT
aps-38	95	31	2	2	NUM
aps-38	95	32	)	)	PUNCT
aps-38	95	33	2018	2018	NUM
aps-38	95	34	dennett	dennett	PROPN
aps-38	95	35	39	39	NUM
aps-38	95	36	unit	unit	NOUN
aps-38	95	37	decrease	decrease	NOUN
aps-38	95	38	in	in	ADP
aps-38	95	39	interaction	interaction	NOUN
aps-38	95	40	/	/	SYM
aps-38	95	41	flow	flow	NOUN
aps-38	95	42	.	.	PUNCT
aps-38	96	1	for	for	ADP
aps-38	96	2	a	a	DET
aps-38	96	3	2	2	NUM
aps-38	96	4	unit	unit	NOUN
aps-38	96	5	increase	increase	NOUN
aps-38	96	6	in	in	ADP
aps-38	96	7	distance	distance	NOUN
aps-38	96	8	,	,	PUNCT
aps-38	96	9	we	we	PRON
aps-38	96	10	have	have	VERB
aps-38	96	11	2	2	NUM
aps-38	96	12	-	-	SYM
aps-38	96	13	2	2	NUM
aps-38	96	14	(	(	PUNCT
aps-38	96	15	0.25	0.25	NUM
aps-38	96	16	or	or	CCONJ
aps-38	96	17	1/4	1/4	NUM
aps-38	96	18	)	)	PUNCT
aps-38	96	19	of	of	ADP
aps-38	96	20	the	the	DET
aps-38	96	21	interaction	interaction	NOUN
aps-38	96	22	,	,	PUNCT
aps-38	96	23	for	for	ADP
aps-38	96	24	a	a	DET
aps-38	96	25	3	3	NUM
aps-38	96	26	unit	unit	NOUN
aps-38	96	27	increase	increase	NOUN
aps-38	96	28	,	,	PUNCT
aps-38	96	29	3	3	NUM
aps-38	96	30	-	-	SYM
aps-38	96	31	2	2	NUM
aps-38	96	32	(	(	PUNCT
aps-38	96	33	0.111	0.111	NUM
aps-38	96	34	)	)	PUNCT
aps-38	96	35	of	of	ADP
aps-38	96	36	the	the	DET
aps-38	96	37	interaction	interaction	NOUN
aps-38	96	38	and	and	CCONJ
aps-38	96	39	so	so	ADV
aps-38	96	40	on	on	ADV
aps-38	96	41	.	.	PUNCT
aps-38	97	1	we	we	PRON
aps-38	97	2	can	can	AUX
aps-38	97	3	check	check	VERB
aps-38	97	4	to	to	PART
aps-38	97	5	see	see	VERB
aps-38	97	6	if	if	SCONJ
aps-38	97	7	μ	μ	PROPN
aps-38	97	8	=	=	SYM
aps-38	97	9	1	1	NUM
aps-38	97	10	and	and	CCONJ
aps-38	97	11	α	α	NOUN
aps-38	97	12	=	=	SYM
aps-38	97	13	1	1	NUM
aps-38	97	14	and	and	CCONJ
aps-38	97	15	β	β	X
aps-38	97	16	=	=	NOUN
aps-38	98	1	-2	-2	NOUN
aps-38	98	2	are	be	AUX
aps-38	98	3	a	a	DET
aps-38	98	4	good	good	ADJ
aps-38	98	5	or	or	CCONJ
aps-38	98	6	poor	poor	ADJ
aps-38	98	7	guess	guess	NOUN
aps-38	98	8	by	by	ADP
aps-38	98	9	looking	look	VERB
aps-38	98	10	at	at	ADP
aps-38	98	11	our	our	PRON
aps-38	98	12	data	datum	NOUN
aps-38	98	13	and	and	CCONJ
aps-38	98	14	plotting	plot	VERB
aps-38	98	15	observed	observe	VERB
aps-38	98	16	flows	flow	NOUN
aps-38	98	17	against	against	ADP
aps-38	98	18	each	each	DET
aps-38	98	19	variable	variable	NOUN
aps-38	98	20	and	and	CCONJ
aps-38	98	21	seeing	see	VERB
aps-38	98	22	whether	whether	SCONJ
aps-38	98	23	the	the	DET
aps-38	98	24	value	value	NOUN
aps-38	98	25	of	of	ADP
aps-38	98	26	these	these	DET
aps-38	98	27	variables	variable	NOUN
aps-38	98	28	raise	raise	VERB
aps-38	98	29	to	to	ADP
aps-38	98	30	these	these	DET
aps-38	98	31	powers	power	NOUN
aps-38	98	32	(	(	PUNCT
aps-38	98	33	figure	figure	NOUN
aps-38	98	34	2	2	NUM
aps-38	98	35	)	)	PUNCT
aps-38	98	36	.	.	PUNCT
aps-38	99	1	reviewing	review	VERB
aps-38	99	2	the	the	DET
aps-38	99	3	three	three	NUM
aps-38	99	4	graphs	graph	NOUN
aps-38	99	5	at	at	ADP
aps-38	99	6	figure	figure	NOUN
aps-38	99	7	2a	2a	NUM
aps-38	99	8	,	,	PUNCT
aps-38	99	9	2b	2b	NOUN
aps-38	99	10	,	,	PUNCT
aps-38	99	11	2c	2c	NUM
aps-38	99	12	,	,	PUNCT
aps-38	99	13	it	it	PRON
aps-38	99	14	can	can	AUX
aps-38	99	15	be	be	AUX
aps-38	99	16	observed	observe	VERB
aps-38	99	17	that	that	SCONJ
aps-38	99	18	-2	-2	PUNCT
aps-38	99	19	looks	look	VERB
aps-38	99	20	like	like	ADP
aps-38	99	21	a	a	DET
aps-38	99	22	fairly	fairly	ADV
aps-38	99	23	good	good	ADJ
aps-38	99	24	estimate	estimate	NOUN
aps-38	99	25	for	for	ADP
aps-38	99	26	β	β	NOUN
aps-38	99	27	with	with	ADP
aps-38	99	28	the	the	DET
aps-38	99	29	red	red	ADJ
aps-38	99	30	modelled	model	VERB
aps-38	99	31	line	line	NOUN
aps-38	99	32	matching	match	VERB
aps-38	99	33	quite	quite	ADV
aps-38	99	34	closely	closely	ADV
aps-38	99	35	the	the	DET
aps-38	99	36	observed	observed	ADJ
aps-38	99	37	relationship	relationship	NOUN
aps-38	99	38	between	between	ADP
aps-38	99	39	migration	migration	NOUN
aps-38	99	40	flows	flow	NOUN
aps-38	99	41	and	and	CCONJ
aps-38	99	42	distances	distance	NOUN
aps-38	99	43	.	.	PUNCT
aps-38	100	1	1	1	NUM
aps-38	100	2	also	also	ADV
aps-38	100	3	looks	look	VERB
aps-38	100	4	like	like	ADP
aps-38	100	5	a	a	DET
aps-38	100	6	fair	fair	ADJ
aps-38	100	7	estimate	estimate	NOUN
aps-38	100	8	of	of	ADP
aps-38	100	9	μ	μ	NOUN
aps-38	100	10	for	for	ADP
aps-38	100	11	at	at	ADP
aps-38	100	12	least	least	ADJ
aps-38	100	13	some	some	PRON
aps-38	100	14	of	of	ADP
aps-38	100	15	the	the	DET
aps-38	100	16	relationship	relationship	NOUN
aps-38	100	17	between	between	ADP
aps-38	100	18	origin	origin	NOUN
aps-38	100	19	population	population	NOUN
aps-38	100	20	and	and	CCONJ
aps-38	100	21	migration	migration	NOUN
aps-38	100	22	flows	flow	NOUN
aps-38	100	23	;	;	PUNCT
aps-38	100	24	however	however	ADV
aps-38	100	25	,	,	PUNCT
aps-38	100	26	it	it	PRON
aps-38	100	27	appears	appear	VERB
aps-38	100	28	that	that	SCONJ
aps-38	100	29	there	there	PRON
aps-38	100	30	is	be	VERB
aps-38	100	31	little	little	ADJ
aps-38	100	32	discernible	discernible	ADJ
aps-38	100	33	visible	visible	ADJ
aps-38	100	34	relationship	relationship	NOUN
aps-38	100	35	between	between	ADP
aps-38	100	36	destination	destination	NOUN
aps-38	100	37	median	median	NOUN
aps-38	100	38	incomes	income	NOUN
aps-38	100	39	and	and	CCONJ
aps-38	100	40	migration	migration	NOUN
aps-38	100	41	flows	flow	NOUN
aps-38	100	42	,	,	PUNCT
aps-38	100	43	so	so	SCONJ
aps-38	100	44	the	the	DET
aps-38	100	45	value	value	NOUN
aps-38	100	46	of	of	ADP
aps-38	100	47	α	α	PRON
aps-38	100	48	may	may	AUX
aps-38	100	49	be	be	AUX
aps-38	100	50	of	of	ADP
aps-38	100	51	little	little	ADJ
aps-38	100	52	consequence	consequence	NOUN
aps-38	100	53	.	.	PUNCT
aps-38	101	1	if	if	SCONJ
aps-38	101	2	we	we	PRON
aps-38	101	3	accept	accept	VERB
aps-38	101	4	that	that	SCONJ
aps-38	101	5	these	these	DET
aps-38	101	6	first	first	ADJ
aps-38	101	7	parameter	parameter	NOUN
aps-38	101	8	estimates	estimate	NOUN
aps-38	101	9	are	be	AUX
aps-38	101	10	plausible	plausible	ADJ
aps-38	101	11	,	,	PUNCT
aps-38	101	12	then	then	ADV
aps-38	101	13	they	they	PRON
aps-38	101	14	can	can	AUX
aps-38	101	15	be	be	AUX
aps-38	101	16	inserted	insert	VERB
aps-38	101	17	into	into	ADP
aps-38	101	18	equation	equation	NOUN
aps-38	101	19	2	2	NUM
aps-38	101	20	to	to	PART
aps-38	101	21	generate	generate	VERB
aps-38	101	22	a	a	DET
aps-38	101	23	first	first	ADJ
aps-38	101	24	set	set	NOUN
aps-38	101	25	of	of	ADP
aps-38	101	26	estimates	estimate	NOUN
aps-38	101	27	.	.	PUNCT
aps-38	102	1	such	such	DET
aps-38	102	2	a	a	DET
aps-38	102	3	set	set	NOUN
aps-38	102	4	of	of	ADP
aps-38	102	5	estimates	estimate	NOUN
aps-38	102	6	,	,	PUNCT
aps-38	102	7	where	where	SCONJ
aps-38	102	8	k=3.28	k=3.28	NOUN
aps-38	102	9	,	,	PUNCT
aps-38	102	10	μ	μ	NOUN
aps-38	102	11	=	=	SYM
aps-38	102	12	1	1	NUM
aps-38	102	13	,	,	PUNCT
aps-38	102	14	α=1	α=1	X
aps-38	102	15	and	and	CCONJ
aps-38	102	16	β=-2	β=-2	NUM
aps-38	102	17	,	,	PUNCT
aps-38	102	18	are	be	AUX
aps-38	102	19	shown	show	VERB
aps-38	102	20	in	in	ADP
aps-38	102	21	table	table	NOUN
aps-38	102	22	2	2	NUM
aps-38	102	23	.	.	PUNCT
aps-38	103	1	these	these	PRON
aps-38	103	2	can	can	AUX
aps-38	103	3	be	be	AUX
aps-38	103	4	compared	compare	VERB
aps-38	103	5	with	with	ADP
aps-38	103	6	the	the	DET
aps-38	103	7	observed	observe	VERB
aps-38	103	8	flows	flow	NOUN
aps-38	103	9	in	in	ADP
aps-38	103	10	table	table	NOUN
aps-38	103	11	3	3	NUM
aps-38	103	12	.	.	PUNCT
aps-38	103	13	manual	manual	ADJ
aps-38	103	14	inspection	inspection	NOUN
aps-38	103	15	of	of	ADP
aps-38	103	16	the	the	DET
aps-38	103	17	flows	flow	NOUN
aps-38	103	18	reveals	reveal	VERB
aps-38	103	19	that	that	SCONJ
aps-38	103	20	in	in	ADP
aps-38	103	21	some	some	DET
aps-38	103	22	cases	case	NOUN
aps-38	103	23	the	the	DET
aps-38	103	24	estimates	estimate	NOUN
aps-38	103	25	are	be	AUX
aps-38	103	26	not	not	PART
aps-38	103	27	too	too	ADV
aps-38	103	28	far	far	ADV
aps-38	103	29	from	from	ADP
aps-38	103	30	the	the	DET
aps-38	103	31	observed	observe	VERB
aps-38	103	32	flows	flow	NOUN
aps-38	103	33	,	,	PUNCT
aps-38	103	34	but	but	CCONJ
aps-38	103	35	in	in	ADP
aps-38	103	36	others	other	NOUN
aps-38	103	37	we	we	PRON
aps-38	103	38	can	can	AUX
aps-38	103	39	clearly	clearly	ADV
aps-38	103	40	see	see	VERB
aps-38	103	41	that	that	SCONJ
aps-38	103	42	the	the	DET
aps-38	103	43	estimates	estimate	NOUN
aps-38	103	44	are	be	AUX
aps-38	103	45	a	a	DET
aps-38	103	46	long	long	ADJ
aps-38	103	47	way	way	NOUN
aps-38	103	48	out	out	ADV
aps-38	103	49	.	.	PUNCT
aps-38	104	1	whilst	whilst	SCONJ
aps-38	104	2	it	it	PRON
aps-38	104	3	is	be	AUX
aps-38	104	4	ok	ok	ADJ
aps-38	104	5	to	to	ADP
aps-38	104	6	‘	'	PUNCT
aps-38	104	7	eyeball	eyeball	NOUN
aps-38	104	8	’	'	PUNCT
aps-38	104	9	small	small	ADJ
aps-38	104	10	flow	flow	NOUN
aps-38	104	11	matrices	matrix	NOUN
aps-38	104	12	like	like	ADP
aps-38	104	13	these	these	PRON
aps-38	104	14	,	,	PUNCT
aps-38	104	15	when	when	SCONJ
aps-38	104	16	you	you	PRON
aps-38	104	17	have	have	VERB
aps-38	104	18	much	much	ADV
aps-38	104	19	larger	large	ADJ
aps-38	104	20	matrices	matrix	NOUN
aps-38	104	21	,	,	PUNCT
aps-38	104	22	another	another	DET
aps-38	104	23	solution	solution	NOUN
aps-38	104	24	is	be	AUX
aps-38	104	25	required	require	VERB
aps-38	104	26	to	to	PART
aps-38	104	27	test	test	VERB
aps-38	104	28	the	the	DET
aps-38	104	29	so	so	ADV
aps-38	104	30	-	-	PUNCT
aps-38	104	31	called	call	VERB
aps-38	104	32	‘	'	PUNCT
aps-38	104	33	goodness	goodness	NOUN
aps-38	104	34	-	-	PUNCT
aps-38	104	35	of	of	ADP
aps-38	104	36	-	-	PUNCT
aps-38	104	37	fit	fit	NOUN
aps-38	104	38	’	'	PUNCT
aps-38	104	39	.	.	PUNCT
aps-38	105	1	there	there	PRON
aps-38	105	2	are	be	VERB
aps-38	105	3	a	a	DET
aps-38	105	4	number	number	NOUN
aps-38	105	5	of	of	ADP
aps-38	105	6	ways	way	NOUN
aps-38	105	7	to	to	PART
aps-38	105	8	do	do	VERB
aps-38	105	9	this	this	PRON
aps-38	105	10	but	but	CCONJ
aps-38	105	11	two	two	NUM
aps-38	105	12	of	of	ADP
aps-38	105	13	the	the	DET
aps-38	105	14	most	most	ADV
aps-38	105	15	common	common	ADJ
aps-38	105	16	are	be	AUX
aps-38	105	17	to	to	PART
aps-38	105	18	calculate	calculate	VERB
aps-38	105	19	the	the	DET
aps-38	105	20	coefficient	coefficient	NOUN
aps-38	105	21	of	of	ADP
aps-38	105	22	determination	determination	NOUN
aps-38	105	23	(	(	PUNCT
aps-38	105	24	r2	r2	PROPN
aps-38	105	25	)	)	PUNCT
aps-38	105	26	or	or	CCONJ
aps-38	105	27	the	the	DET
aps-38	105	28	square	square	ADJ
aps-38	105	29	root	root	NOUN
aps-38	105	30	of	of	ADP
aps-38	105	31	mean	mean	ADJ
aps-38	105	32	squared	square	VERB
aps-38	105	33	error	error	NOUN
aps-38	105	34	(	(	PUNCT
aps-38	105	35	rmse	rmse	NOUN
aps-38	105	36	)	)	PUNCT
aps-38	105	37	.	.	PUNCT
aps-38	106	1	anyone	anyone	PRON
aps-38	106	2	who	who	PRON
aps-38	106	3	has	have	AUX
aps-38	106	4	run	run	VERB
aps-38	106	5	a	a	DET
aps-38	106	6	linear	linear	ADJ
aps-38	106	7	regression	regression	NOUN
aps-38	106	8	model	model	NOUN
aps-38	106	9	before	before	ADV
aps-38	106	10	will	will	AUX
aps-38	106	11	have	have	AUX
aps-38	106	12	come	come	VERB
aps-38	106	13	across	across	ADP
aps-38	106	14	r2	r2	PROPN
aps-38	106	15	but	but	CCONJ
aps-38	106	16	rmse	rmse	NOUN
aps-38	106	17	may	may	AUX
aps-38	106	18	be	be	AUX
aps-38	106	19	less	less	ADV
aps-38	106	20	familiar	familiar	ADJ
aps-38	106	21	.	.	PUNCT
aps-38	107	1	there	there	PRON
aps-38	107	2	are	be	VERB
aps-38	107	3	other	other	ADJ
aps-38	107	4	methods	method	NOUN
aps-38	107	5	and	and	CCONJ
aps-38	107	6	they	they	PRON
aps-38	107	7	all	all	PRON
aps-38	107	8	do	do	VERB
aps-38	107	9	more	more	ADJ
aps-38	107	10	-	-	PUNCT
aps-38	107	11	or	or	CCONJ
aps-38	107	12	-	-	PUNCT
aps-38	107	13	less	less	ADJ
aps-38	107	14	the	the	DET
aps-38	107	15	same	same	ADJ
aps-38	107	16	thing	thing	NOUN
aps-38	107	17	:	:	PUNCT
aps-38	107	18	compare	compare	VERB
aps-38	107	19	the	the	DET
aps-38	107	20	modelled	model	VERB
aps-38	107	21	estimates	estimate	NOUN
aps-38	107	22	with	with	ADP
aps-38	107	23	the	the	DET
aps-38	107	24	real	real	ADJ
aps-38	107	25	data	datum	NOUN
aps-38	107	26	and	and	CCONJ
aps-38	107	27	represent	represent	VERB
aps-38	107	28	the	the	DET
aps-38	107	29	degree	degree	NOUN
aps-38	107	30	of	of	ADP
aps-38	107	31	agreement	agreement	NOUN
aps-38	107	32	with	with	ADP
aps-38	107	33	a	a	DET
aps-38	107	34	single	single	ADJ
aps-38	107	35	number	number	NOUN
aps-38	107	36	.	.	PUNCT
aps-38	108	1	r2	r2	PROPN
aps-38	108	2	is	be	AUX
aps-38	108	3	popular	popular	ADJ
aps-38	108	4	as	as	SCONJ
aps-38	108	5	it	it	PRON
aps-38	108	6	is	be	AUX
aps-38	108	7	quite	quite	ADV
aps-38	108	8	intuitive	intuitive	ADJ
aps-38	108	9	and	and	CCONJ
aps-38	108	10	can	can	AUX
aps-38	108	11	be	be	AUX
aps-38	108	12	compared	compare	VERB
aps-38	108	13	across	across	ADP
aps-38	108	14	models	model	NOUN
aps-38	108	15	.	.	PUNCT
aps-38	109	1	rmse	rmse	PROPN
aps-38	109	2	is	be	AUX
aps-38	109	3	less	less	ADV
aps-38	109	4	intuitive	intuitive	ADJ
aps-38	109	5	,	,	PUNCT
aps-38	109	6	but	but	CCONJ
aps-38	109	7	some	some	PRON
aps-38	109	8	argue	argue	VERB
aps-38	109	9	is	be	AUX
aps-38	109	10	better	well	ADJ
aps-38	109	11	for	for	ADP
aps-38	109	12	comparing	compare	VERB
aps-38	109	13	changes	change	NOUN
aps-38	109	14	to	to	ADP
aps-38	109	15	the	the	DET
aps-38	109	16	same	same	ADJ
aps-38	109	17	model	model	NOUN
aps-38	109	18	.	.	PUNCT
aps-38	110	1	guidance	guidance	NOUN
aps-38	110	2	on	on	ADP
aps-38	110	3	how	how	SCONJ
aps-38	110	4	to	to	PART
aps-38	110	5	quickly	quickly	ADV
aps-38	110	6	calculate	calculate	VERB
aps-38	110	7	r2	r2	PROPN
aps-38	110	8	and	and	CCONJ
aps-38	110	9	rmse	rmse	NOUN
aps-38	110	10	can	can	AUX
aps-38	110	11	be	be	AUX
aps-38	110	12	found	find	VERB
aps-38	110	13	in	in	ADP
aps-38	110	14	the	the	DET
aps-38	110	15	accompanying	accompanying	ADJ
aps-38	110	16	practical	practical	ADJ
aps-38	110	17	guide	guide	NOUN
aps-38	110	18	.	.	PUNCT
aps-38	111	1	in	in	ADP
aps-38	111	2	this	this	DET
aps-38	111	3	initial	initial	ADJ
aps-38	111	4	case	case	NOUN
aps-38	111	5	,	,	PUNCT
aps-38	111	6	the	the	DET
aps-38	111	7	r2	r2	PROPN
aps-38	111	8	value	value	NOUN
aps-38	111	9	is	be	AUX
aps-38	111	10	0.18	0.18	NUM
aps-38	111	11	.	.	PUNCT
aps-38	112	1	this	this	PRON
aps-38	112	2	tells	tell	VERB
aps-38	112	3	us	we	PRON
aps-38	112	4	that	that	SCONJ
aps-38	112	5	this	this	DET
aps-38	112	6	first	first	ADJ
aps-38	112	7	model	model	NOUN
aps-38	112	8	accounts	account	VERB
aps-38	112	9	for	for	ADP
aps-38	112	10	about	about	ADV
aps-38	112	11	18	18	NUM
aps-38	112	12	per	per	ADP
aps-38	112	13	cent	cent	NOUN
aps-38	112	14	of	of	ADP
aps-38	112	15	the	the	DET
aps-38	112	16	variation	variation	NOUN
aps-38	112	17	of	of	ADP
aps-38	112	18	flows	flow	NOUN
aps-38	112	19	in	in	ADP
aps-38	112	20	the	the	DET
aps-38	112	21	system	system	NOUN
aps-38	112	22	–	–	PUNCT
aps-38	112	23	not	not	PART
aps-38	112	24	brilliant	brilliant	ADJ
aps-38	112	25	,	,	PUNCT
aps-38	112	26	but	but	CCONJ
aps-38	112	27	a	a	DET
aps-38	112	28	starting	starting	NOUN
aps-38	112	29	point	point	NOUN
aps-38	112	30	nevertheless	nevertheless	ADV
aps-38	112	31	.	.	PUNCT
aps-38	113	1	as	as	ADP
aps-38	113	2	a	a	DET
aps-38	113	3	result	result	NOUN
aps-38	113	4	,	,	PUNCT
aps-38	113	5	two	two	NUM
aps-38	113	6	immediate	immediate	ADJ
aps-38	113	7	questions	question	NOUN
aps-38	113	8	emerge	emerge	VERB
aps-38	113	9	:	:	PUNCT
aps-38	113	10	can	can	AUX
aps-38	113	11	we	we	PRON
aps-38	113	12	improve	improve	VERB
aps-38	113	13	these	these	DET
aps-38	113	14	estimates	estimate	NOUN
aps-38	113	15	?	?	PUNCT
aps-38	114	1	can	can	AUX
aps-38	114	2	we	we	PRON
aps-38	114	3	tell	tell	VERB
aps-38	114	4	which	which	DET
aps-38	114	5	predictor	predictor	NOUN
aps-38	114	6	variables	variable	NOUN
aps-38	114	7	are	be	AUX
aps-38	114	8	best	good	ADJ
aps-38	114	9	?	?	PUNCT
aps-38	115	1	fortunately	fortunately	ADV
aps-38	115	2	,	,	PUNCT
aps-38	115	3	the	the	DET
aps-38	115	4	answer	answer	NOUN
aps-38	115	5	to	to	ADP
aps-38	115	6	both	both	PRON
aps-38	115	7	of	of	ADP
aps-38	115	8	these	these	DET
aps-38	115	9	questions	question	NOUN
aps-38	115	10	is	be	AUX
aps-38	115	11	‘	'	PUNCT
aps-38	115	12	yes	yes	INTJ
aps-38	115	13	’	'	PUNCT
aps-38	115	14	.	.	PUNCT
aps-38	116	1	one	one	NUM
aps-38	116	2	way	way	NOUN
aps-38	116	3	that	that	PRON
aps-38	116	4	we	we	PRON
aps-38	116	5	can	can	AUX
aps-38	116	6	begin	begin	VERB
aps-38	116	7	to	to	PART
aps-38	116	8	answer	answer	VERB
aps-38	116	9	both	both	PRON
aps-38	116	10	of	of	ADP
aps-38	116	11	these	these	DET
aps-38	116	12	questions	question	NOUN
aps-38	116	13	is	be	AUX
aps-38	116	14	through	through	ADP
aps-38	116	15	the	the	DET
aps-38	116	16	process	process	NOUN
aps-38	116	17	of	of	ADP
aps-38	116	18	model	model	NOUN
aps-38	116	19	calibration	calibration	NOUN
aps-38	116	20	.	.	PUNCT
aps-38	117	1	40	40	NUM
aps-38	117	2	dennett	dennett	PROPN
aps-38	117	3	australian	australian	ADJ
aps-38	117	4	population	population	NOUN
aps-38	117	5	studies	study	NOUN
aps-38	117	6	2	2	NUM
aps-38	117	7	(	(	PUNCT
aps-38	117	8	2	2	NUM
aps-38	117	9	)	)	PUNCT
aps-38	117	10	2018	2018	NUM
aps-38	117	11	(	(	PUNCT
aps-38	117	12	a	a	DET
aps-38	117	13	)	)	PUNCT
aps-38	117	14	distance	distance	NOUN
aps-38	117	15	note	note	NOUN
aps-38	117	16	:	:	PUNCT
aps-38	117	17	red	red	ADJ
aps-38	117	18	line	line	NOUN
aps-38	117	19	is	be	AUX
aps-38	117	20	distance	distance	NOUN
aps-38	117	21	or	or	CCONJ
aps-38	117	22	𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	NOUN
aps-38	117	23	estimate	estimate	NOUN
aps-38	117	24	where	where	SCONJ
aps-38	117	25	𝛽𝛽	𝛽𝛽	ADP
aps-38	117	26	=	=	SYM
aps-38	117	27	-2	-2	INTJ
aps-38	117	28	(	(	PUNCT
aps-38	117	29	b	b	NOUN
aps-38	117	30	)	)	PUNCT
aps-38	117	31	origin	origin	NOUN
aps-38	117	32	population	population	NOUN
aps-38	117	33	note	note	NOUN
aps-38	117	34	:	:	PUNCT
aps-38	117	35	red	red	ADJ
aps-38	117	36	line	line	NOUN
aps-38	117	37	is	be	AUX
aps-38	117	38	origin	origin	NOUN
aps-38	117	39	population	population	NOUN
aps-38	117	40	or	or	CCONJ
aps-38	117	41	𝑉𝑉𝑖𝑖	𝑉𝑉𝑖𝑖	PROPN
aps-38	117	42	𝜇𝜇estimate	𝜇𝜇estimate	VERB
aps-38	117	43	where	where	SCONJ
aps-38	117	44	𝜇𝜇	𝜇𝜇	ADP
aps-38	117	45	=	=	SYM
aps-38	117	46	1	1	NUM
aps-38	117	47	(	(	PUNCT
aps-38	117	48	c	c	NOUN
aps-38	117	49	)	)	PUNCT
aps-38	117	50	destination	destination	NOUN
aps-38	117	51	median	median	ADJ
aps-38	117	52	income	income	NOUN
aps-38	117	53	note	note	NOUN
aps-38	117	54	:	:	PUNCT
aps-38	117	55	red	red	ADJ
aps-38	117	56	line	line	NOUN
aps-38	117	57	is	be	AUX
aps-38	117	58	destination	destination	NOUN
aps-38	117	59	median	median	ADJ
aps-38	117	60	income	income	NOUN
aps-38	117	61	or	or	CCONJ
aps-38	117	62	𝑊𝑊𝑖𝑖	𝑊𝑊𝑖𝑖	PROPN
aps-38	117	63	𝛼𝛼estimate	𝛼𝛼estimate	NOUN
aps-38	117	64	where	where	SCONJ
aps-38	117	65	𝛼𝛼	𝛼𝛼	ADP
aps-38	117	66	=	=	SYM
aps-38	117	67	1	1	NUM
aps-38	117	68	figure	figure	NOUN
aps-38	117	69	2	2	NUM
aps-38	117	70	:	:	PUNCT
aps-38	117	71	the	the	DET
aps-38	117	72	relationship	relationship	NOUN
aps-38	117	73	between	between	ADP
aps-38	117	74	migration	migration	NOUN
aps-38	117	75	flows	flow	NOUN
aps-38	117	76	and	and	CCONJ
aps-38	117	77	three	three	NUM
aps-38	117	78	predictor	predictor	NOUN
aps-38	117	79	variables	variable	VERB
aps-38	117	80	australian	australian	ADJ
aps-38	117	81	population	population	NOUN
aps-38	117	82	studies	study	NOUN
aps-38	117	83	2	2	NUM
aps-38	117	84	(	(	PUNCT
aps-38	117	85	2	2	NUM
aps-38	117	86	)	)	PUNCT
aps-38	117	87	2018	2018	NUM
aps-38	118	1	dennett	dennett	PROPN
aps-38	118	2	41	41	NUM
aps-38	118	3	table	table	NOUN
aps-38	118	4	2	2	NUM
aps-38	118	5	:	:	PUNCT
aps-38	118	6	modelled	model	VERB
aps-38	118	7	flows	flow	NOUN
aps-38	118	8	from	from	ADP
aps-38	118	9	the	the	DET
aps-38	118	10	initial	initial	ADJ
aps-38	118	11	total	total	ADJ
aps-38	118	12	constrained	constrain	VERB
aps-38	118	13	gravity	gravity	NOUN
aps-38	118	14	model	model	NOUN
aps-38	118	15	with	with	ADP
aps-38	118	16	crude	crude	ADJ
aps-38	118	17	estimated	estimate	VERB
aps-38	118	18	parameters	parameter	NOUN
aps-38	118	19	origin	origin	NOUN
aps-38	118	20	/	/	SYM
aps-38	118	21	destination	destination	NOUN
aps-38	118	22	1gsyd	1gsyd	NUM
aps-38	118	23	1rnsw	1rnsw	NUM
aps-38	118	24	2gmel	2gmel	NUM
aps-38	118	25	2rvic	2rvic	NUM
aps-38	118	26	3gbri	3gbri	NUM
aps-38	118	27	3rqld	3rqld	NUM
aps-38	118	28	4gade	4gade	NUM
aps-38	118	29	4rsau	4rsau	NUM
aps-38	118	30	5gper	5gper	NUM
aps-38	118	31	5rwau	5rwau	NUM
aps-38	118	32	6ghob	6ghob	NUM
aps-38	118	33	6rtas	6rtas	NUM
aps-38	118	34	7gdar	7gdar	NUM
aps-38	118	35	7rnte	7rnte	NUM
aps-38	118	36	8acte	8acte	NUM
aps-38	118	37	(	(	PUNCT
aps-38	118	38	all	all	PRON
aps-38	118	39	)	)	PUNCT
aps-38	118	40	1gsyd	1gsyd	NUM
aps-38	118	41	0	0	NUM
aps-38	118	42	47944	47944	NUM
aps-38	118	43	12607	12607	NUM
aps-38	118	44	15513	15513	NUM
aps-38	118	45	22050	22050	NUM
aps-38	118	46	3346	3346	NUM
aps-38	118	47	5187	5187	NUM
aps-38	118	48	3522	3522	NUM
aps-38	118	49	1012	1012	NUM
aps-38	118	50	1325	1325	NUM
aps-38	118	51	5627	5627	NUM
aps-38	118	52	7789	7789	NUM
aps-38	118	53	1386	1386	NUM
aps-38	118	54	1395	1395	NUM
aps-38	118	55	193311	193311	NUM
aps-38	118	56	322014	322014	NUM
aps-38	118	57	1rnsw	1rnsw	NUM
aps-38	118	58	41995	41995	NUM
aps-38	118	59	0	0	NUM
aps-38	118	60	8089	8089	NUM
aps-38	118	61	12786	12786	NUM
aps-38	118	62	11218	11218	NUM
aps-38	118	63	3039	3039	NUM
aps-38	118	64	5467	5467	NUM
aps-38	118	65	3675	3675	NUM
aps-38	118	66	721	721	NUM
aps-38	118	67	1008	1008	NUM
aps-38	118	68	2566	2566	NUM
aps-38	118	69	3703	3703	NUM
aps-38	118	70	1021	1021	NUM
aps-38	118	71	1138	1138	NUM
aps-38	118	72	42659	42659	NUM
aps-38	118	73	139085	139085	NUM
aps-38	118	74	2gmel	2gmel	NUM
aps-38	118	75	21972	21972	NUM
aps-38	118	76	16095	16095	NUM
aps-38	118	77	0	0	NUM
aps-38	118	78	373099	373099	NUM
aps-38	118	79	5627	5627	NUM
aps-38	118	80	2040	2040	NUM
aps-38	118	81	13506	13506	NUM
aps-38	118	82	4665	4665	NUM
aps-38	118	83	1294	1294	NUM
aps-38	118	84	1539	1539	NUM
aps-38	118	85	15973	15973	NUM
aps-38	118	86	29621	29621	NUM
aps-38	118	87	1221	1221	NUM
aps-38	118	88	1271	1271	NUM
aps-38	118	89	62311	62311	NUM
aps-38	118	90	550234	550234	NUM
aps-38	118	91	2rvic	2rvic	NUM
aps-38	118	92	7325	7325	NUM
aps-38	118	93	6893	6893	NUM
aps-38	118	94	101083	101083	NUM
aps-38	118	95	0	0	NUM
aps-38	118	96	2014	2014	NUM
aps-38	118	97	784	784	NUM
aps-38	118	98	6705	6705	NUM
aps-38	118	99	1971	1971	NUM
aps-38	118	100	465	465	NUM
aps-38	118	101	570	570	NUM
aps-38	118	102	3652	3652	NUM
aps-38	118	103	6304	6304	NUM
aps-38	118	104	448	448	NUM
aps-38	118	105	481	481	NUM
aps-38	118	106	18995	18995	NUM
aps-38	118	107	157690	157690	NUM
aps-38	118	108	3gbri	3gbri	NUM
aps-38	118	109	10556	10556	NUM
aps-38	118	110	6131	6131	NUM
aps-38	118	111	1546	1546	NUM
aps-38	118	112	2041	2041	NUM
aps-38	118	113	0	0	NUM
aps-38	118	114	3035	3035	NUM
aps-38	118	115	1256	1256	NUM
aps-38	118	116	1293	1293	NUM
aps-38	118	117	397	397	NUM
aps-38	118	118	573	573	NUM
aps-38	118	119	955	955	NUM
aps-38	118	120	1259	1259	NUM
aps-38	118	121	791	791	NUM
aps-38	118	122	771	771	NUM
aps-38	118	123	6639	6639	NUM
aps-38	118	124	37243	37243	NUM
aps-38	118	125	3rqld	3rqld	NUM
aps-38	118	126	3002	3002	NUM
aps-38	118	127	3113	3113	NUM
aps-38	118	128	1050	1050	NUM
aps-38	118	129	1491	1491	NUM
aps-38	118	130	5688	5688	NUM
aps-38	118	131	0	0	NUM
aps-38	118	132	1508	1508	NUM
aps-38	118	133	2718	2718	NUM
aps-38	118	134	615	615	NUM
aps-38	118	135	1118	1118	NUM
aps-38	118	136	630	630	NUM
aps-38	118	137	844	844	NUM
aps-38	118	138	2101	2101	NUM
aps-38	118	139	2759	2759	NUM
aps-38	118	140	2873	2873	NUM
aps-38	118	141	29510	29510	NUM
aps-38	118	142	4gade	4gade	NUM
aps-38	118	143	2536	2536	NUM
aps-38	118	144	3051	3051	NUM
aps-38	118	145	3788	3788	NUM
aps-38	118	146	6941	6941	NUM
aps-38	118	147	1283	1283	NUM
aps-38	118	148	821	821	NUM
aps-38	118	149	0	0	NUM
aps-38	118	150	5788	5788	NUM
aps-38	118	151	653	653	NUM
aps-38	118	152	858	858	NUM
aps-38	118	153	1300	1300	NUM
aps-38	118	154	1973	1973	NUM
aps-38	118	155	543	543	NUM
aps-38	118	156	657	657	NUM
aps-38	118	157	4041	4041	NUM
aps-38	118	158	34233	34233	NUM
aps-38	118	159	4rsau	4rsau	NUM
aps-38	118	160	441	441	NUM
aps-38	118	161	525	525	NUM
aps-38	118	162	335	335	NUM
aps-38	118	163	523	523	NUM
aps-38	118	164	338	338	NUM
aps-38	118	165	379	379	NUM
aps-38	118	166	1483	1483	NUM
aps-38	118	167	0	0	NUM
aps-38	118	168	250	250	NUM
aps-38	118	169	462	462	NUM
aps-38	118	170	172	172	NUM
aps-38	118	171	241	241	NUM
aps-38	118	172	275	275	NUM
aps-38	118	173	439	439	NUM
aps-38	118	174	569	569	NUM
aps-38	118	175	6432	6432	NUM
aps-38	119	1	5gper	5gper	NUM
aps-38	119	2	425	425	NUM
aps-38	119	3	346	346	NUM
aps-38	119	4	312	312	NUM
aps-38	119	5	414	414	NUM
aps-38	119	6	349	349	NUM
aps-38	119	7	288	288	NUM
aps-38	119	8	562	562	NUM
aps-38	119	9	839	839	NUM
aps-38	119	10	0	0	NUM
aps-38	119	11	4637	4637	NUM
aps-38	119	12	273	273	NUM
aps-38	119	13	356	356	NUM
aps-38	119	14	730	730	NUM
aps-38	119	15	604	604	NUM
aps-38	119	16	535	535	NUM
aps-38	119	17	10670	10670	NUM
aps-38	119	18	5rwau	5rwau	NUM
aps-38	119	19	156	156	NUM
aps-38	119	20	136	136	NUM
aps-38	119	21	104	104	NUM
aps-38	119	22	142	142	NUM
aps-38	119	23	141	141	NUM
aps-38	119	24	147	147	NUM
aps-38	119	25	207	207	NUM
aps-38	119	26	434	434	NUM
aps-38	119	27	1299	1299	NUM
aps-38	119	28	0	0	NUM
aps-38	119	29	81	81	NUM
aps-38	119	30	107	107	NUM
aps-38	119	31	523	523	NUM
aps-38	119	32	508	508	NUM
aps-38	119	33	190	190	NUM
aps-38	119	34	4175	4175	NUM
aps-38	119	35	6ghob	6ghob	NUM
aps-38	119	36	478	478	NUM
aps-38	119	37	249	249	NUM
aps-38	119	38	778	778	NUM
aps-38	119	39	657	657	NUM
aps-38	119	40	169	169	NUM
aps-38	119	41	60	60	NUM
aps-38	119	42	226	226	NUM
aps-38	119	43	116	116	NUM
aps-38	119	44	55	55	NUM
aps-38	119	45	58	58	NUM
aps-38	119	46	0	0	NUM
aps-38	119	47	25438	25438	NUM
aps-38	119	48	46	46	NUM
aps-38	119	49	43	43	NUM
aps-38	119	50	876	876	NUM
aps-38	119	51	29249	29249	NUM
aps-38	119	52	6rtas	6rtas	NUM
aps-38	119	53	724	724	NUM
aps-38	119	54	393	393	NUM
aps-38	119	55	1579	1579	NUM
aps-38	119	56	1240	1240	NUM
aps-38	119	57	244	244	NUM
aps-38	119	58	87	87	NUM
aps-38	119	59	375	375	NUM
aps-38	119	60	179	179	NUM
aps-38	119	61	79	79	NUM
aps-38	119	62	84	84	NUM
aps-38	119	63	27825	27825	NUM
aps-38	119	64	0	0	NUM
aps-38	119	65	65	65	NUM
aps-38	119	66	62	62	NUM
aps-38	119	67	1416	1416	NUM
aps-38	119	68	34352	34352	NUM
aps-38	119	69	7gdar	7gdar	NUM
aps-38	119	70	33	33	NUM
aps-38	119	71	28	28	NUM
aps-38	119	72	17	17	NUM
aps-38	119	73	23	23	NUM
aps-38	119	74	39	39	NUM
aps-38	119	75	56	56	NUM
aps-38	119	76	26	26	NUM
aps-38	119	77	52	52	NUM
aps-38	119	78	41	41	NUM
aps-38	119	79	105	105	NUM
aps-38	119	80	13	13	NUM
aps-38	119	81	17	17	NUM
aps-38	119	82	0	0	NUM
aps-38	119	83	326	326	NUM
aps-38	119	84	36	36	NUM
aps-38	119	85	812	812	NUM
aps-38	119	86	7rnte	7rnte	NUM
aps-38	119	87	42	42	NUM
aps-38	119	88	39	39	NUM
aps-38	119	89	22	22	NUM
aps-38	119	90	31	31	NUM
aps-38	119	91	49	49	NUM
aps-38	119	92	93	93	NUM
aps-38	119	93	41	41	NUM
aps-38	119	94	107	107	NUM
aps-38	119	95	44	44	NUM
aps-38	119	96	131	131	NUM
aps-38	119	97	15	15	NUM
aps-38	119	98	20	20	NUM
aps-38	119	99	417	417	NUM
aps-38	119	100	0	0	NUM
aps-38	119	101	47	47	NUM
aps-38	119	102	1098	1098	NUM
aps-38	119	103	8acte	8acte	NUM
aps-38	119	104	13901	13901	NUM
aps-38	119	105	3502	3502	NUM
aps-38	119	106	2571	2571	NUM
aps-38	119	107	2893	2893	NUM
aps-38	119	108	997	997	NUM
aps-38	119	109	230	230	NUM
aps-38	119	110	594	594	NUM
aps-38	119	111	327	327	NUM
aps-38	119	112	92	92	NUM
aps-38	119	113	116	116	NUM
aps-38	119	114	742	742	NUM
aps-38	119	115	1096	1096	NUM
aps-38	119	116	110	110	NUM
aps-38	119	117	112	112	NUM
aps-38	119	118	0	0	NUM
aps-38	119	119	27283	27283	NUM
aps-38	119	120	(	(	PUNCT
aps-38	119	121	all	all	PRON
aps-38	119	122	)	)	PUNCT
aps-38	119	123	103586	103586	NUM
aps-38	119	124	88445	88445	NUM
aps-38	119	125	133881	133881	NUM
aps-38	119	126	417794	417794	NUM
aps-38	119	127	50206	50206	NUM
aps-38	119	128	14405	14405	NUM
aps-38	119	129	37143	37143	NUM
aps-38	119	130	25686	25686	NUM
aps-38	119	131	7017	7017	NUM
aps-38	119	132	12584	12584	NUM
aps-38	119	133	59824	59824	NUM
aps-38	119	134	78768	78768	NUM
aps-38	119	135	9677	9677	NUM
aps-38	119	136	10566	10566	NUM
aps-38	119	137	334498	334498	NUM
aps-38	119	138	1384080	1384080	NUM
aps-38	119	139	source	source	NOUN
aps-38	119	140	:	:	PUNCT
aps-38	119	141	abs	ab	VERB
aps-38	119	142	2011	2011	NUM
aps-38	119	143	census	census	NOUN
aps-38	119	144	.	.	PUNCT
aps-38	120	1	notes	note	NOUN
aps-38	120	2	:	:	PUNCT
aps-38	120	3	greater	great	ADJ
aps-38	120	4	sydney	sydney	NOUN
aps-38	120	5	=	=	SYM
aps-38	120	6	1gsyd	1gsyd	NUM
aps-38	120	7	;	;	PUNCT
aps-38	120	8	rest	rest	NOUN
aps-38	120	9	of	of	ADP
aps-38	120	10	new	new	ADJ
aps-38	120	11	south	south	ADJ
aps-38	120	12	wales	wale	NOUN
aps-38	120	13	=	=	SYM
aps-38	121	1	1rnsw	1rnsw	NUM
aps-38	121	2	;	;	PUNCT
aps-38	121	3	greater	great	ADJ
aps-38	121	4	melbourne	melbourne	NOUN
aps-38	121	5	=	=	SYM
aps-38	121	6	2gmel	2gmel	NUM
aps-38	121	7	;	;	PUNCT
aps-38	121	8	rest	rest	NOUN
aps-38	121	9	of	of	ADP
aps-38	121	10	victoria	victoria	PROPN
aps-38	121	11	=	=	PROPN
aps-38	121	12	2rvic	2rvic	NUM
aps-38	121	13	;	;	PUNCT
aps-38	121	14	greater	great	ADJ
aps-38	121	15	brisbane	brisbane	NOUN
aps-38	121	16	=	=	SYM
aps-38	121	17	3gbri	3gbri	NUM
aps-38	121	18	;	;	PUNCT
aps-38	121	19	rest	rest	NOUN
aps-38	121	20	of	of	ADP
aps-38	121	21	queensland	queensland	NOUN
aps-38	121	22	=	=	PROPN
aps-38	121	23	3rqld	3rqld	NUM
aps-38	121	24	;	;	PUNCT
aps-38	121	25	greater	great	ADJ
aps-38	121	26	adelaide	adelaide	NOUN
aps-38	121	27	=	=	SYM
aps-38	121	28	4gade	4gade	PROPN
aps-38	121	29	;	;	PUNCT
aps-38	121	30	rest	rest	NOUN
aps-38	121	31	of	of	ADP
aps-38	121	32	south	south	PROPN
aps-38	121	33	australia	australia	PROPN
aps-38	121	34	=	=	SYM
aps-38	121	35	4rsau	4rsau	NUM
aps-38	121	36	;	;	PUNCT
aps-38	121	37	greater	great	ADJ
aps-38	121	38	perth	perth	NOUN
aps-38	121	39	=	=	SYM
aps-38	121	40	5gper	5gper	NUM
aps-38	121	41	;	;	PUNCT
aps-38	121	42	rest	rest	NOUN
aps-38	121	43	of	of	ADP
aps-38	121	44	western	western	ADJ
aps-38	121	45	australia	australia	PROPN
aps-38	121	46	=	=	PUNCT
aps-38	121	47	5rwau	5rwau	NUM
aps-38	121	48	;	;	PUNCT
aps-38	121	49	greater	great	ADJ
aps-38	121	50	hobart	hobart	NOUN
aps-38	121	51	=	=	SYM
aps-38	121	52	6ghob	6ghob	NUM
aps-38	121	53	;	;	PUNCT
aps-38	121	54	rest	rest	NOUN
aps-38	121	55	of	of	ADP
aps-38	121	56	tasmania	tasmania	PROPN
aps-38	121	57	=	=	PUNCT
aps-38	122	1	6rtas	6rtas	NUM
aps-38	122	2	;	;	PUNCT
aps-38	122	3	greater	great	ADJ
aps-38	122	4	darwin	darwin	PROPN
aps-38	122	5	=	=	SYM
aps-38	122	6	7gdar	7gdar	NUM
aps-38	122	7	;	;	PUNCT
aps-38	122	8	rest	rest	NOUN
aps-38	122	9	of	of	ADP
aps-38	122	10	northern	northern	ADJ
aps-38	122	11	territories	territory	NOUN
aps-38	122	12	=	=	SYM
aps-38	122	13	7rnte	7rnte	NUM
aps-38	122	14	;	;	PUNCT
aps-38	122	15	australian	australian	ADJ
aps-38	122	16	capital	capital	NOUN
aps-38	122	17	territory	territory	NOUN
aps-38	122	18	=	=	SYM
aps-38	122	19	8acte	8acte	NUM
aps-38	122	20	42	42	NUM
aps-38	122	21	dennett	dennett	PROPN
aps-38	122	22	australian	australian	ADJ
aps-38	122	23	population	population	NOUN
aps-38	122	24	studies	study	NOUN
aps-38	122	25	2	2	NUM
aps-38	122	26	(	(	PUNCT
aps-38	122	27	2	2	NUM
aps-38	122	28	)	)	SYM
aps-38	122	29	2018	2018	NUM
aps-38	122	30	table	table	NOUN
aps-38	122	31	3	3	NUM
aps-38	122	32	:	:	PUNCT
aps-38	122	33	original	original	ADJ
aps-38	122	34	flow	flow	NOUN
aps-38	122	35	data	datum	NOUN
aps-38	122	36	for	for	ADP
aps-38	122	37	comparison	comparison	NOUN
aps-38	122	38	origin	origin	NOUN
aps-38	122	39	/	/	SYM
aps-38	122	40	destination	destination	NOUN
aps-38	122	41	1gsyd	1gsyd	NUM
aps-38	122	42	1rnsw	1rnsw	NUM
aps-38	122	43	2gmel	2gmel	NUM
aps-38	122	44	2rvic	2rvic	NUM
aps-38	122	45	3gbri	3gbri	NUM
aps-38	122	46	3rqld	3rqld	NUM
aps-38	122	47	4gade	4gade	NUM
aps-38	122	48	4rsau	4rsau	NUM
aps-38	122	49	5gper	5gper	NUM
aps-38	122	50	5rwau	5rwau	NUM
aps-38	122	51	6ghob	6ghob	NUM
aps-38	122	52	6rtas	6rtas	NUM
aps-38	122	53	7gdar	7gdar	NUM
aps-38	122	54	7rnte	7rnte	NUM
aps-38	122	55	8acte	8acte	NUM
aps-38	122	56	(	(	PUNCT
aps-38	122	57	all	all	PRON
aps-38	122	58	)	)	PUNCT
aps-38	123	1	1gsyd	1gsyd	NUM
aps-38	123	2	0	0	NUM
aps-38	123	3	91043	91043	NUM
aps-38	123	4	22605	22605	NUM
aps-38	123	5	4420	4420	NUM
aps-38	123	6	22874	22874	NUM
aps-38	123	7	27447	27447	NUM
aps-38	123	8	5829	5829	NUM
aps-38	123	9	795	795	NUM
aps-38	123	10	10572	10572	NUM
aps-38	123	11	2127	2127	NUM
aps-38	123	12	1654	1654	NUM
aps-38	123	13	1984	1984	NUM
aps-38	123	14	1992	1992	NUM
aps-38	123	15	828	828	NUM
aps-38	123	16	10658	10658	NUM
aps-38	123	17	204828	204828	NUM
aps-38	123	18	1rnsw	1rnsw	NUM
aps-38	123	19	53568	53568	NUM
aps-38	123	20	0	0	NUM
aps-38	123	21	12418	12418	NUM
aps-38	123	22	13072	13072	NUM
aps-38	123	23	21289	21289	NUM
aps-38	123	24	35191	35191	NUM
aps-38	123	25	3613	3613	NUM
aps-38	123	26	1587	1587	NUM
aps-38	123	27	4999	4999	NUM
aps-38	123	28	3295	3295	NUM
aps-38	123	29	978	978	NUM
aps-38	123	30	1885	1885	NUM
aps-38	123	31	2252	2252	NUM
aps-38	123	32	1431	1431	NUM
aps-38	123	33	15766	15766	NUM
aps-38	123	34	171344	171344	NUM
aps-38	123	35	2gmel	2gmel	NUM
aps-38	123	36	15569	15569	NUM
aps-38	123	37	11094	11094	NUM
aps-38	123	38	0	0	NUM
aps-38	123	39	70264	70264	NUM
aps-38	123	40	13055	13055	NUM
aps-38	123	41	16164	16164	NUM
aps-38	123	42	6017	6017	NUM
aps-38	123	43	1292	1292	NUM
aps-38	123	44	10111	10111	NUM
aps-38	123	45	2570	2570	NUM
aps-38	123	46	2126	2126	NUM
aps-38	123	47	2553	2553	NUM
aps-38	123	48	2029	2029	NUM
aps-38	123	49	1004	1004	NUM
aps-38	123	50	4727	4727	NUM
aps-38	123	51	158575	158575	NUM
aps-38	123	52	2rvic	2rvic	NUM
aps-38	123	53	2528	2528	NUM
aps-38	123	54	11968	11968	NUM
aps-38	123	55	47988	47988	NUM
aps-38	123	56	0	0	SYM
aps-38	123	57	4328	4328	NUM
aps-38	123	58	10110	10110	NUM
aps-38	123	59	3468	3468	NUM
aps-38	123	60	2217	2217	NUM
aps-38	123	61	3449	3449	NUM
aps-38	123	62	2597	2597	NUM
aps-38	123	63	667	667	NUM
aps-38	123	64	1428	1428	NUM
aps-38	123	65	1548	1548	NUM
aps-38	123	66	721	721	NUM
aps-38	123	67	1362	1362	NUM
aps-38	123	68	94379	94379	NUM
aps-38	123	69	3gbri	3gbri	NUM
aps-38	123	70	12333	12333	NUM
aps-38	123	71	16056	16056	NUM
aps-38	123	72	13080	13080	NUM
aps-38	123	73	4249	4249	NUM
aps-38	123	74	0	0	NUM
aps-38	123	75	84649	84649	NUM
aps-38	123	76	3044	3044	NUM
aps-38	123	77	818	818	NUM
aps-38	123	78	4810	4810	NUM
aps-38	123	79	1796	1796	NUM
aps-38	123	80	1388	1388	NUM
aps-38	123	81	2295	2295	NUM
aps-38	123	82	1802	1802	NUM
aps-38	123	83	905	905	NUM
aps-38	123	84	3127	3127	NUM
aps-38	123	85	150352	150352	NUM
aps-38	123	86	3rqld	3rqld	NUM
aps-38	123	87	11629	11629	NUM
aps-38	123	88	26699	26699	NUM
aps-38	123	89	12284	12284	NUM
aps-38	123	90	7566	7566	NUM
aps-38	123	91	74412	74412	NUM
aps-38	123	92	0	0	SYM
aps-38	123	93	3772	3772	NUM
aps-38	123	94	1758	1758	NUM
aps-38	123	95	6583	6583	NUM
aps-38	123	96	4688	4688	NUM
aps-38	123	97	1479	1479	NUM
aps-38	123	98	3086	3086	NUM
aps-38	123	99	3126	3126	NUM
aps-38	123	100	2142	2142	NUM
aps-38	123	101	3125	3125	NUM
aps-38	123	102	162349	162349	NUM
aps-38	123	103	4gade	4gade	NUM
aps-38	123	104	5415	5415	NUM
aps-38	123	105	3517	3517	NUM
aps-38	123	106	8803	8803	NUM
aps-38	123	107	3188	3188	NUM
aps-38	123	108	5449	5449	NUM
aps-38	123	109	6178	6178	NUM
aps-38	123	110	0	0	NUM
aps-38	123	111	25679	25679	NUM
aps-38	123	112	3831	3831	NUM
aps-38	123	113	1230	1230	NUM
aps-38	123	114	598	598	NUM
aps-38	123	115	872	872	NUM
aps-38	123	116	1843	1843	NUM
aps-38	123	117	927	927	NUM
aps-38	123	118	1995	1995	NUM
aps-38	123	119	69525	69525	NUM
aps-38	123	120	4rsau	4rsau	NUM
aps-38	123	121	477	477	NUM
aps-38	123	122	1490	1490	NUM
aps-38	123	123	1154	1154	NUM
aps-38	123	124	2439	2439	NUM
aps-38	123	125	824	824	NUM
aps-38	123	126	2631	2631	NUM
aps-38	123	127	22020	22020	NUM
aps-38	123	128	0	0	NUM
aps-38	123	129	1051	1051	NUM
aps-38	123	130	1354	1354	NUM
aps-38	123	131	148	148	NUM
aps-38	123	132	429	429	NUM
aps-38	123	133	679	679	NUM
aps-38	123	134	484	484	NUM
aps-38	123	135	185	185	NUM
aps-38	123	136	35365	35365	NUM
aps-38	123	137	5gper	5gper	NUM
aps-38	123	138	6523	6523	NUM
aps-38	123	139	4064	4064	NUM
aps-38	123	140	11721	11721	NUM
aps-38	123	141	2931	2931	NUM
aps-38	123	142	5086	5086	NUM
aps-38	123	143	7019	7019	NUM
aps-38	123	144	2625	2625	NUM
aps-38	123	145	865	865	NUM
aps-38	123	146	0	0	NUM
aps-38	123	147	41332	41332	NUM
aps-38	123	148	1022	1022	NUM
aps-38	123	149	1802	1802	NUM
aps-38	123	150	1305	1305	NUM
aps-38	123	151	416	416	NUM
aps-38	123	152	1675	1675	NUM
aps-38	123	153	88386	88386	NUM
aps-38	123	154	5rwau	5rwau	NUM
aps-38	123	155	714	714	NUM
aps-38	123	156	2241	2241	NUM
aps-38	123	157	1490	1490	NUM
aps-38	123	158	1811	1811	NUM
aps-38	123	159	1141	1141	NUM
aps-38	123	160	4333	4333	NUM
aps-38	123	161	808	808	NUM
aps-38	123	162	982	982	NUM
aps-38	123	163	42149	42149	NUM
aps-38	123	164	0	0	NUM
aps-38	124	1	277	277	NUM
aps-38	124	2	1161	1161	NUM
aps-38	124	3	1093	1093	NUM
aps-38	124	4	627	627	NUM
aps-38	124	5	251	251	NUM
aps-38	124	6	59078	59078	NUM
aps-38	124	7	6ghob	6ghob	NUM
aps-38	124	8	1221	1221	NUM
aps-38	124	9	998	998	NUM
aps-38	124	10	3014	3014	NUM
aps-38	124	11	624	624	NUM
aps-38	124	12	1307	1307	NUM
aps-38	124	13	1810	1810	NUM
aps-38	124	14	532	532	NUM
aps-38	124	15	111	111	NUM
aps-38	124	16	901	901	NUM
aps-38	124	17	365	365	NUM
aps-38	124	18	0	0	NUM
aps-38	124	19	5019	5019	NUM
aps-38	124	20	195	195	NUM
aps-38	124	21	113	113	NUM
aps-38	124	22	564	564	NUM
aps-38	124	23	16774	16774	NUM
aps-38	124	24	6rtas	6rtas	NUM
aps-38	124	25	1029	1029	NUM
aps-38	124	26	1871	1871	NUM
aps-38	124	27	2637	2637	NUM
aps-38	124	28	1647	1647	NUM
aps-38	124	29	1543	1543	NUM
aps-38	124	30	2884	2884	NUM
aps-38	124	31	658	658	NUM
aps-38	124	32	343	343	NUM
aps-38	124	33	1210	1210	NUM
aps-38	124	34	1028	1028	NUM
aps-38	124	35	7214	7214	NUM
aps-38	124	36	0	0	NUM
aps-38	124	37	272	272	NUM
aps-38	124	38	164	164	NUM
aps-38	124	39	288	288	NUM
aps-38	124	40	22788	22788	NUM
aps-38	124	41	7gdar	7gdar	NUM
aps-38	124	42	1237	1237	NUM
aps-38	124	43	2185	2185	NUM
aps-38	124	44	1957	1957	NUM
aps-38	124	45	1481	1481	NUM
aps-38	124	46	2763	2763	NUM
aps-38	124	47	5107	5107	NUM
aps-38	124	48	2111	2111	NUM
aps-38	124	49	641	641	NUM
aps-38	124	50	2149	2149	NUM
aps-38	124	51	949	949	NUM
aps-38	124	52	239	239	NUM
aps-38	124	53	333	333	NUM
aps-38	124	54	0	0	NUM
aps-38	124	55	1998	1998	NUM
aps-38	124	56	824	824	NUM
aps-38	124	57	23974	23974	NUM
aps-38	124	58	7rnte	7rnte	NUM
aps-38	124	59	406	406	NUM
aps-38	124	60	1432	1432	NUM
aps-38	124	61	700	700	NUM
aps-38	124	62	792	792	NUM
aps-38	124	63	896	896	NUM
aps-38	124	64	3018	3018	NUM
aps-38	124	65	1296	1296	NUM
aps-38	124	66	961	961	NUM
aps-38	124	67	699	699	NUM
aps-38	124	68	826	826	NUM
aps-38	124	69	96	96	NUM
aps-38	124	70	213	213	NUM
aps-38	124	71	2684	2684	NUM
aps-38	124	72	0	0	NUM
aps-38	124	73	229	229	NUM
aps-38	124	74	14248	14248	NUM
aps-38	124	75	8acte	8acte	NUM
aps-38	124	76	7065	7065	NUM
aps-38	124	77	16829	16829	NUM
aps-38	124	78	5930	5930	NUM
aps-38	124	79	1994	1994	NUM
aps-38	124	80	5225	5225	NUM
aps-38	124	81	6968	6968	NUM
aps-38	124	82	2657	2657	NUM
aps-38	124	83	1091	1091	NUM
aps-38	124	84	2212	2212	NUM
aps-38	124	85	1110	1110	NUM
aps-38	124	86	466	466	NUM
aps-38	124	87	480	480	NUM
aps-38	124	88	3304	3304	NUM
aps-38	124	89	56779	56779	NUM
aps-38	124	90	0	0	NUM
aps-38	124	91	112110	112110	NUM
aps-38	124	92	(	(	PUNCT
aps-38	124	93	all	all	PRON
aps-38	124	94	)	)	PUNCT
aps-38	124	95	119714	119714	NUM
aps-38	124	96	191487	191487	NUM
aps-38	124	97	145781	145781	NUM
aps-38	124	98	116478	116478	NUM
aps-38	124	99	160192	160192	NUM
aps-38	124	100	213509	213509	NUM
aps-38	124	101	58450	58450	NUM
aps-38	124	102	39140	39140	NUM
aps-38	124	103	94726	94726	NUM
aps-38	124	104	65267	65267	NUM
aps-38	124	105	18352	18352	NUM
aps-38	124	106	23540	23540	NUM
aps-38	124	107	24124	24124	NUM
aps-38	124	108	68539	68539	NUM
aps-38	124	109	44776	44776	NUM
aps-38	124	110	1384075	1384075	NUM
aps-38	124	111	source	source	NOUN
aps-38	124	112	:	:	PUNCT
aps-38	124	113	abs	ab	VERB
aps-38	124	114	2011	2011	NUM
aps-38	124	115	census	census	NOUN
aps-38	124	116	australian	australian	ADJ
aps-38	124	117	population	population	NOUN
aps-38	124	118	studies	study	NOUN
aps-38	124	119	2	2	NUM
aps-38	124	120	(	(	PUNCT
aps-38	124	121	2	2	NUM
aps-38	124	122	)	)	PUNCT
aps-38	124	123	2018	2018	NUM
aps-38	124	124	dennett	dennett	PROPN
aps-38	124	125	43	43	NUM
aps-38	124	126	2.2.2	2.2.2	NUM
aps-38	124	127	.	.	PUNCT
aps-38	125	1	regression	regression	NOUN
aps-38	125	2	modelling	model	VERB
aps-38	125	3	framework	framework	NOUN
aps-38	125	4	calibration	calibration	NOUN
aps-38	125	5	is	be	AUX
aps-38	125	6	the	the	DET
aps-38	125	7	process	process	NOUN
aps-38	125	8	of	of	ADP
aps-38	125	9	adjusting	adjust	VERB
aps-38	125	10	parameters	parameter	NOUN
aps-38	125	11	in	in	ADP
aps-38	125	12	the	the	DET
aps-38	125	13	model	model	NOUN
aps-38	125	14	to	to	PART
aps-38	125	15	try	try	VERB
aps-38	125	16	and	and	CCONJ
aps-38	125	17	get	get	VERB
aps-38	125	18	the	the	DET
aps-38	125	19	estimates	estimate	NOUN
aps-38	125	20	to	to	PART
aps-38	125	21	agree	agree	VERB
aps-38	125	22	with	with	ADP
aps-38	125	23	the	the	DET
aps-38	125	24	observed	observe	VERB
aps-38	125	25	data	datum	NOUN
aps-38	125	26	as	as	ADV
aps-38	125	27	much	much	ADV
aps-38	125	28	as	as	ADP
aps-38	125	29	possible	possible	ADJ
aps-38	125	30	.	.	PUNCT
aps-38	126	1	adjusting	adjust	VERB
aps-38	126	2	the	the	DET
aps-38	126	3	parameters	parameter	NOUN
aps-38	126	4	is	be	AUX
aps-38	126	5	the	the	DET
aps-38	126	6	sort	sort	NOUN
aps-38	126	7	of	of	ADP
aps-38	126	8	iterative	iterative	ADJ
aps-38	126	9	process	process	NOUN
aps-38	126	10	that	that	PRON
aps-38	126	11	computers	computer	NOUN
aps-38	126	12	are	be	AUX
aps-38	126	13	particularly	particularly	ADV
aps-38	126	14	good	good	ADJ
aps-38	126	15	at	at	ADP
aps-38	126	16	and	and	CCONJ
aps-38	126	17	the	the	DET
aps-38	126	18	goodness	goodness	NOUN
aps-38	126	19	-	-	PUNCT
aps-38	126	20	of	of	ADP
aps-38	126	21	-	-	PUNCT
aps-38	126	22	fit	fit	ADJ
aps-38	126	23	statistics	statistic	NOUN
aps-38	126	24	can	can	AUX
aps-38	126	25	be	be	AUX
aps-38	126	26	used	use	VERB
aps-38	126	27	to	to	PART
aps-38	126	28	indicate	indicate	VERB
aps-38	126	29	when	when	SCONJ
aps-38	126	30	the	the	DET
aps-38	126	31	optimum	optimum	ADJ
aps-38	126	32	solution	solution	NOUN
aps-38	126	33	is	be	AUX
aps-38	126	34	found	find	VERB
aps-38	126	35	.	.	PUNCT
aps-38	127	1	historically	historically	ADV
aps-38	127	2	this	this	DET
aps-38	127	3	process	process	NOUN
aps-38	127	4	required	require	VERB
aps-38	127	5	a	a	DET
aps-38	127	6	researcher	researcher	NOUN
aps-38	127	7	with	with	ADP
aps-38	127	8	the	the	DET
aps-38	127	9	requisite	requisite	ADJ
aps-38	127	10	programming	programming	NOUN
aps-38	127	11	skills	skill	NOUN
aps-38	127	12	to	to	PART
aps-38	127	13	write	write	VERB
aps-38	127	14	a	a	DET
aps-38	127	15	computer	computer	NOUN
aps-38	127	16	algorithm	algorithm	NOUN
aps-38	127	17	to	to	PART
aps-38	127	18	iteratively	iteratively	ADV
aps-38	127	19	adjust	adjust	VERB
aps-38	127	20	each	each	DET
aps-38	127	21	parameter	parameter	NOUN
aps-38	127	22	,	,	PUNCT
aps-38	127	23	check	check	VERB
aps-38	127	24	the	the	DET
aps-38	127	25	goodness	goodness	NOUN
aps-38	127	26	-	-	PUNCT
aps-38	127	27	of	of	ADP
aps-38	127	28	-	-	PUNCT
aps-38	127	29	fit	fit	NOUN
aps-38	127	30	,	,	PUNCT
aps-38	127	31	and	and	CCONJ
aps-38	127	32	then	then	ADV
aps-38	127	33	start	start	VERB
aps-38	127	34	all	all	ADV
aps-38	127	35	over	over	ADV
aps-38	127	36	again	again	ADV
aps-38	127	37	until	until	SCONJ
aps-38	127	38	the	the	DET
aps-38	127	39	goodness	goodness	NOUN
aps-38	127	40	-	-	PUNCT
aps-38	127	41	of	of	ADP
aps-38	127	42	-	-	PUNCT
aps-38	127	43	fit	fit	ADJ
aps-38	127	44	statistic	statistic	NOUN
aps-38	127	45	was	be	AUX
aps-38	127	46	maximised	maximise	VERB
aps-38	127	47	/	/	SYM
aps-38	127	48	minimised	minimised	ADJ
aps-38	127	49	.	.	PUNCT
aps-38	128	1	there	there	PRON
aps-38	128	2	are	be	VERB
aps-38	128	3	various	various	ADJ
aps-38	128	4	well	well	ADV
aps-38	128	5	-	-	PUNCT
aps-38	128	6	established	establish	VERB
aps-38	128	7	routines	routine	NOUN
aps-38	128	8	that	that	PRON
aps-38	128	9	can	can	AUX
aps-38	128	10	achieve	achieve	VERB
aps-38	128	11	this	this	PRON
aps-38	128	12	,	,	PUNCT
aps-38	128	13	such	such	ADJ
aps-38	128	14	as	as	ADP
aps-38	128	15	the	the	DET
aps-38	128	16	newton	newton	PROPN
aps-38	128	17	-	-	PUNCT
aps-38	128	18	raphson	raphson	NOUN
aps-38	128	19	algorithm	algorithm	NOUN
aps-38	128	20	,	,	PUNCT
aps-38	128	21	but	but	CCONJ
aps-38	128	22	without	without	ADP
aps-38	128	23	the	the	DET
aps-38	128	24	necessary	necessary	ADJ
aps-38	128	25	programming	programming	NOUN
aps-38	128	26	skills	skill	NOUN
aps-38	128	27	this	this	PRON
aps-38	128	28	can	can	AUX
aps-38	128	29	be	be	AUX
aps-38	128	30	a	a	DET
aps-38	128	31	serious	serious	ADJ
aps-38	128	32	barrier	barrier	NOUN
aps-38	128	33	and	and	CCONJ
aps-38	128	34	probably	probably	ADV
aps-38	128	35	why	why	SCONJ
aps-38	128	36	spatial	spatial	ADJ
aps-38	128	37	interaction	interaction	NOUN
aps-38	128	38	modelling	modelling	NOUN
aps-38	128	39	was	be	AUX
aps-38	128	40	the	the	DET
aps-38	128	41	preserve	preserve	NOUN
aps-38	128	42	of	of	ADP
aps-38	128	43	a	a	DET
aps-38	128	44	few	few	ADJ
aps-38	128	45	specialists	specialist	NOUN
aps-38	128	46	for	for	ADP
aps-38	128	47	so	so	ADV
aps-38	128	48	long	long	ADV
aps-38	128	49	.	.	PUNCT
aps-38	129	1	however	however	ADV
aps-38	129	2	,	,	PUNCT
aps-38	129	3	since	since	SCONJ
aps-38	129	4	the	the	DET
aps-38	129	5	early	early	ADJ
aps-38	129	6	days	day	NOUN
aps-38	129	7	of	of	ADP
aps-38	129	8	spatial	spatial	ADJ
aps-38	129	9	interaction	interaction	NOUN
aps-38	129	10	modelling	modelling	NOUN
aps-38	129	11	,	,	PUNCT
aps-38	129	12	a	a	DET
aps-38	129	13	number	number	NOUN
aps-38	129	14	of	of	ADP
aps-38	129	15	useful	useful	ADJ
aps-38	129	16	developments	development	NOUN
aps-38	129	17	have	have	AUX
aps-38	129	18	occurred	occur	VERB
aps-38	129	19	.	.	PUNCT
aps-38	130	1	perhaps	perhaps	ADV
aps-38	130	2	the	the	DET
aps-38	130	3	most	most	ADV
aps-38	130	4	important	important	ADJ
aps-38	130	5	in	in	ADP
aps-38	130	6	the	the	DET
aps-38	130	7	context	context	NOUN
aps-38	130	8	of	of	ADP
aps-38	130	9	calibration	calibration	NOUN
aps-38	130	10	is	be	AUX
aps-38	130	11	the	the	DET
aps-38	130	12	fact	fact	NOUN
aps-38	130	13	that	that	SCONJ
aps-38	130	14	it	it	PRON
aps-38	130	15	is	be	AUX
aps-38	130	16	possible	possible	ADJ
aps-38	130	17	to	to	PART
aps-38	130	18	turn	turn	VERB
aps-38	130	19	the	the	DET
aps-38	130	20	multiplicative	multiplicative	ADJ
aps-38	130	21	model	model	NOUN
aps-38	130	22	in	in	ADP
aps-38	130	23	equation	equation	NOUN
aps-38	130	24	2	2	NUM
aps-38	130	25	into	into	ADP
aps-38	130	26	an	an	DET
aps-38	130	27	additive	additive	ADJ
aps-38	130	28	model	model	NOUN
aps-38	130	29	.	.	PUNCT
aps-38	131	1	taking	take	VERB
aps-38	131	2	the	the	DET
aps-38	131	3	logarithms	logarithm	NOUN
aps-38	131	4	of	of	ADP
aps-38	131	5	both	both	DET
aps-38	131	6	sides	side	NOUN
aps-38	131	7	of	of	ADP
aps-38	131	8	equation	equation	NOUN
aps-38	131	9	2	2	NUM
aps-38	131	10	,	,	PUNCT
aps-38	131	11	you	you	PRON
aps-38	131	12	end	end	VERB
aps-38	131	13	up	up	ADP
aps-38	131	14	with	with	ADP
aps-38	131	15	the	the	DET
aps-38	131	16	following	follow	VERB
aps-38	131	17	equation	equation	NOUN
aps-38	131	18	:	:	PUNCT
aps-38	131	19	ln𝑇𝑇𝑖𝑖𝑖𝑖	ln𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	131	20	=	=	PUNCT
aps-38	131	21	𝑘𝑘	𝑘𝑘	PROPN
aps-38	131	22	+	+	CCONJ
aps-38	131	23	𝜇𝜇ln𝑉𝑉𝑖𝑖	𝜇𝜇ln𝑉𝑉𝑖𝑖	ADJ
aps-38	131	24	+	+	NOUN
aps-38	131	25	𝛼𝛼ln𝑊𝑊𝑖𝑖	𝛼𝛼ln𝑊𝑊𝑖𝑖	NOUN
aps-38	131	26	−	−	ADP
aps-38	131	27	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	NOUN
aps-38	131	28	(	(	PUNCT
aps-38	131	29	5	5	X
aps-38	131	30	)	)	PUNCT
aps-38	131	31	what	what	PRON
aps-38	131	32	we	we	PRON
aps-38	131	33	have	have	AUX
aps-38	131	34	now	now	ADV
aps-38	131	35	is	be	AUX
aps-38	131	36	a	a	DET
aps-38	131	37	regression	regression	NOUN
aps-38	131	38	model	model	NOUN
aps-38	131	39	.	.	PUNCT
aps-38	132	1	anyone	anyone	PRON
aps-38	132	2	who	who	PRON
aps-38	132	3	has	have	AUX
aps-38	132	4	been	be	AUX
aps-38	132	5	introduced	introduce	VERB
aps-38	132	6	to	to	PART
aps-38	132	7	regression	regression	VERB
aps-38	132	8	models	model	NOUN
aps-38	132	9	in	in	ADP
aps-38	132	10	introductory	introductory	ADJ
aps-38	132	11	statistics	statistic	NOUN
aps-38	132	12	classes	class	NOUN
aps-38	132	13	will	will	AUX
aps-38	132	14	be	be	AUX
aps-38	132	15	aware	aware	ADJ
aps-38	132	16	that	that	SCONJ
aps-38	132	17	there	there	PRON
aps-38	132	18	are	be	VERB
aps-38	132	19	various	various	ADJ
aps-38	132	20	pieces	piece	NOUN
aps-38	132	21	of	of	ADP
aps-38	132	22	software	software	NOUN
aps-38	132	23	available	available	ADJ
aps-38	132	24	to	to	ADP
aps-38	132	25	us	we	PRON
aps-38	132	26	to	to	PART
aps-38	132	27	run	run	VERB
aps-38	132	28	regressions	regression	NOUN
aps-38	132	29	(	(	PUNCT
aps-38	132	30	such	such	ADJ
aps-38	132	31	as	as	ADP
aps-38	132	32	r	r	NOUN
aps-38	132	33	)	)	PUNCT
aps-38	132	34	and	and	CCONJ
aps-38	132	35	calibrate	calibrate	VERB
aps-38	132	36	the	the	DET
aps-38	132	37	parameters	parameter	NOUN
aps-38	132	38	(	(	PUNCT
aps-38	132	39	or	or	CCONJ
aps-38	132	40	‘	'	PUNCT
aps-38	132	41	estimate	estimate	VERB
aps-38	132	42	the	the	DET
aps-38	132	43	coefficients	coefficient	NOUN
aps-38	132	44	’	'	PUNCT
aps-38	132	45	in	in	ADP
aps-38	132	46	the	the	DET
aps-38	132	47	language	language	NOUN
aps-38	132	48	of	of	ADP
aps-38	132	49	statistics	statistic	NOUN
aps-38	132	50	)	)	PUNCT
aps-38	132	51	,	,	PUNCT
aps-38	132	52	so	so	ADV
aps-38	132	53	expert	expert	NOUN
aps-38	132	54	programming	programming	NOUN
aps-38	132	55	skills	skill	NOUN
aps-38	132	56	are	be	AUX
aps-38	132	57	no	no	ADV
aps-38	132	58	longer	long	ADV
aps-38	132	59	required	require	VERB
aps-38	132	60	.	.	PUNCT
aps-38	133	1	there	there	PRON
aps-38	133	2	are	be	VERB
aps-38	133	3	some	some	DET
aps-38	133	4	papers	paper	NOUN
aps-38	133	5	that	that	PRON
aps-38	133	6	are	be	AUX
aps-38	133	7	worth	worth	ADJ
aps-38	133	8	reading	read	VERB
aps-38	133	9	at	at	ADP
aps-38	133	10	this	this	DET
aps-38	133	11	point	point	NOUN
aps-38	133	12	if	if	SCONJ
aps-38	133	13	you	you	PRON
aps-38	133	14	would	would	AUX
aps-38	133	15	like	like	VERB
aps-38	133	16	to	to	PART
aps-38	133	17	learn	learn	VERB
aps-38	133	18	more	more	ADJ
aps-38	133	19	.	.	PUNCT
aps-38	134	1	perhaps	perhaps	ADV
aps-38	134	2	the	the	DET
aps-38	134	3	best	good	ADJ
aps-38	134	4	is	be	AUX
aps-38	134	5	by	by	ADP
aps-38	134	6	flowerdew	flowerdew	NOUN
aps-38	134	7	and	and	CCONJ
aps-38	134	8	aitkin	aitkin	PROPN
aps-38	134	9	(	(	PUNCT
aps-38	134	10	1982	1982	NUM
aps-38	134	11	)	)	PUNCT
aps-38	134	12	.	.	PUNCT
aps-38	135	1	one	one	NUM
aps-38	135	2	of	of	ADP
aps-38	135	3	the	the	DET
aps-38	135	4	key	key	ADJ
aps-38	135	5	points	point	NOUN
aps-38	135	6	that	that	PRON
aps-38	135	7	flowerdew	flowerdew	NOUN
aps-38	135	8	and	and	CCONJ
aps-38	135	9	aitkin	aitkin	PROPN
aps-38	135	10	make	make	VERB
aps-38	135	11	is	be	AUX
aps-38	135	12	that	that	SCONJ
aps-38	135	13	the	the	DET
aps-38	135	14	model	model	NOUN
aps-38	135	15	in	in	ADP
aps-38	135	16	equation	equation	NOUN
aps-38	135	17	5	5	NUM
aps-38	135	18	(	(	PUNCT
aps-38	135	19	known	know	VERB
aps-38	135	20	as	as	ADP
aps-38	135	21	a	a	DET
aps-38	135	22	log	log	NOUN
aps-38	135	23	-	-	PUNCT
aps-38	135	24	normal	normal	ADJ
aps-38	135	25	model	model	NOUN
aps-38	135	26	)	)	PUNCT
aps-38	135	27	has	have	VERB
aps-38	135	28	various	various	ADJ
aps-38	135	29	problems	problem	NOUN
aps-38	135	30	associated	associate	VERB
aps-38	135	31	with	with	ADP
aps-38	135	32	it	it	PRON
aps-38	135	33	,	,	PUNCT
aps-38	135	34	which	which	PRON
aps-38	135	35	mean	mean	VERB
aps-38	135	36	that	that	SCONJ
aps-38	135	37	the	the	DET
aps-38	135	38	estimates	estimate	NOUN
aps-38	135	39	produced	produce	VERB
aps-38	135	40	might	might	AUX
aps-38	135	41	not	not	PART
aps-38	135	42	be	be	AUX
aps-38	135	43	reliable	reliable	ADJ
aps-38	135	44	.	.	PUNCT
aps-38	136	1	the	the	DET
aps-38	136	2	paper	paper	NOUN
aps-38	136	3	(	(	PUNCT
aps-38	136	4	and	and	CCONJ
aps-38	136	5	also	also	ADV
aps-38	136	6	wilson	wilson	PROPN
aps-38	136	7	’s	’s	PART
aps-38	136	8	1971	1971	NUM
aps-38	136	9	paper	paper	NOUN
aps-38	136	10	)	)	PUNCT
aps-38	136	11	details	detail	VERB
aps-38	136	12	these	these	DET
aps-38	136	13	issues	issue	NOUN
aps-38	136	14	;	;	PUNCT
aps-38	136	15	however	however	ADV
aps-38	136	16	,	,	PUNCT
aps-38	136	17	the	the	DET
aps-38	136	18	salient	salient	NOUN
aps-38	136	19	point	point	NOUN
aps-38	136	20	is	be	AUX
aps-38	136	21	that	that	SCONJ
aps-38	136	22	the	the	DET
aps-38	136	23	way	way	NOUN
aps-38	136	24	around	around	ADP
aps-38	136	25	many	many	ADJ
aps-38	136	26	of	of	ADP
aps-38	136	27	these	these	DET
aps-38	136	28	issues	issue	NOUN
aps-38	136	29	is	be	AUX
aps-38	136	30	to	to	PART
aps-38	136	31	re	re	VERB
aps-38	136	32	-	-	VERB
aps-38	136	33	specify	specify	VERB
aps-38	136	34	the	the	DET
aps-38	136	35	model	model	NOUN
aps-38	136	36	,	,	PUNCT
aps-38	136	37	not	not	PART
aps-38	136	38	as	as	ADP
aps-38	136	39	a	a	DET
aps-38	136	40	log	log	NOUN
aps-38	136	41	-	-	PUNCT
aps-38	136	42	normal	normal	ADJ
aps-38	136	43	regression	regression	NOUN
aps-38	136	44	but	but	CCONJ
aps-38	136	45	as	as	ADP
aps-38	136	46	a	a	DET
aps-38	136	47	poisson	poisson	NOUN
aps-38	136	48	or	or	CCONJ
aps-38	136	49	negative	negative	ADJ
aps-38	136	50	binomial	binomial	ADJ
aps-38	136	51	regression	regression	NOUN
aps-38	136	52	model	model	NOUN
aps-38	136	53	.	.	PUNCT
aps-38	137	1	the	the	DET
aps-38	137	2	flows	flow	NOUN
aps-38	137	3	that	that	SCONJ
aps-38	137	4	spatial	spatial	ADJ
aps-38	137	5	interaction	interaction	NOUN
aps-38	137	6	models	model	NOUN
aps-38	137	7	deal	deal	VERB
aps-38	137	8	with	with	ADP
aps-38	137	9	(	(	PUNCT
aps-38	137	10	such	such	ADJ
aps-38	137	11	as	as	ADP
aps-38	137	12	migration	migration	NOUN
aps-38	137	13	or	or	CCONJ
aps-38	137	14	commuting	commuting	NOUN
aps-38	137	15	)	)	PUNCT
aps-38	137	16	relate	relate	VERB
aps-38	137	17	to	to	ADP
aps-38	137	18	nonnegative	nonnegative	ADJ
aps-38	137	19	integer	integer	NOUN
aps-38	137	20	counts	count	NOUN
aps-38	137	21	(	(	PUNCT
aps-38	137	22	you	you	PRON
aps-38	137	23	can	can	AUX
aps-38	137	24	not	not	PART
aps-38	137	25	have	have	AUX
aps-38	137	26	negative	negative	ADJ
aps-38	137	27	people	people	NOUN
aps-38	137	28	moving	move	VERB
aps-38	137	29	between	between	ADP
aps-38	137	30	places	place	NOUN
aps-38	137	31	and	and	CCONJ
aps-38	137	32	you	you	PRON
aps-38	137	33	can	can	AUX
aps-38	137	34	not	not	PART
aps-38	137	35	normally	normally	ADV
aps-38	137	36	–	–	PUNCT
aps-38	137	37	if	if	SCONJ
aps-38	137	38	they	they	PRON
aps-38	137	39	are	be	AUX
aps-38	137	40	alive	alive	ADJ
aps-38	137	41	!	!	PUNCT
aps-38	138	1	–	–	PUNCT
aps-38	138	2	have	have	VERB
aps-38	138	3	fractions	fraction	NOUN
aps-38	138	4	of	of	ADP
aps-38	138	5	people	people	NOUN
aps-38	138	6	moving	move	VERB
aps-38	138	7	either	either	ADV
aps-38	138	8	)	)	PUNCT
aps-38	138	9	.	.	PUNCT
aps-38	139	1	as	as	ADP
aps-38	139	2	such	such	ADJ
aps-38	139	3	,	,	PUNCT
aps-38	139	4	the	the	DET
aps-38	139	5	probability	probability	NOUN
aps-38	139	6	of	of	ADP
aps-38	139	7	migrating	migrating	NOUN
aps-38	139	8	or	or	CCONJ
aps-38	139	9	commuting	commuting	NOUN
aps-38	139	10	is	be	AUX
aps-38	139	11	not	not	PART
aps-38	139	12	described	describe	VERB
aps-38	139	13	by	by	ADP
aps-38	139	14	a	a	DET
aps-38	139	15	continuous	continuous	ADJ
aps-38	139	16	(	(	PUNCT
aps-38	139	17	normal	normal	ADJ
aps-38	139	18	)	)	PUNCT
aps-38	139	19	probability	probability	NOUN
aps-38	139	20	distribution	distribution	NOUN
aps-38	139	21	(	(	PUNCT
aps-38	139	22	the	the	DET
aps-38	139	23	distribution	distribution	NOUN
aps-38	139	24	which	which	PRON
aps-38	139	25	underpins	underpin	VERB
aps-38	139	26	the	the	DET
aps-38	139	27	error	error	NOUN
aps-38	139	28	distribution	distribution	NOUN
aps-38	139	29	in	in	ADP
aps-38	139	30	standard	standard	ADJ
aps-38	139	31	linear	linear	ADJ
aps-38	139	32	regression	regression	NOUN
aps-38	139	33	models	model	NOUN
aps-38	139	34	)	)	PUNCT
aps-38	139	35	,	,	PUNCT
aps-38	139	36	but	but	CCONJ
aps-38	139	37	a	a	DET
aps-38	139	38	discrete	discrete	ADJ
aps-38	139	39	probability	probability	NOUN
aps-38	139	40	distribution	distribution	NOUN
aps-38	139	41	such	such	ADJ
aps-38	139	42	as	as	ADP
aps-38	139	43	the	the	DET
aps-38	139	44	poisson	poisson	NOUN
aps-38	139	45	distribution	distribution	NOUN
aps-38	139	46	or	or	CCONJ
aps-38	139	47	the	the	DET
aps-38	139	48	negative	negative	ADJ
aps-38	139	49	binomial	binomial	ADJ
aps-38	139	50	distribution	distribution	NOUN
aps-38	139	51	(	(	PUNCT
aps-38	139	52	of	of	ADP
aps-38	139	53	which	which	PRON
aps-38	139	54	the	the	DET
aps-38	139	55	poisson	poisson	NOUN
aps-38	139	56	distribution	distribution	NOUN
aps-38	139	57	is	be	AUX
aps-38	139	58	a	a	DET
aps-38	139	59	special	special	ADJ
aps-38	139	60	case	case	NOUN
aps-38	139	61	)	)	PUNCT
aps-38	139	62	.	.	PUNCT
aps-38	140	1	there	there	PRON
aps-38	140	2	is	be	VERB
aps-38	140	3	a	a	DET
aps-38	140	4	family	family	NOUN
aps-38	140	5	of	of	ADP
aps-38	140	6	generalised	generalised	ADJ
aps-38	140	7	linear	linear	NOUN
aps-38	140	8	models	model	NOUN
aps-38	140	9	,	,	PUNCT
aps-38	140	10	but	but	CCONJ
aps-38	140	11	in	in	ADP
aps-38	140	12	the	the	DET
aps-38	140	13	analysis	analysis	NOUN
aps-38	140	14	of	of	ADP
aps-38	140	15	migration	migration	NOUN
aps-38	140	16	and	and	CCONJ
aps-38	140	17	other	other	ADJ
aps-38	140	18	population	population	NOUN
aps-38	140	19	flows	flow	VERB
aps-38	140	20	poisson	poisson	NOUN
aps-38	140	21	and	and	CCONJ
aps-38	140	22	negative	negative	ADJ
aps-38	140	23	binomial	binomial	ADJ
aps-38	140	24	regression	regression	NOUN
aps-38	140	25	models	model	NOUN
aps-38	140	26	have	have	AUX
aps-38	140	27	been	be	AUX
aps-38	140	28	used	use	VERB
aps-38	140	29	most	most	ADV
aps-38	140	30	frequently	frequently	ADV
aps-38	140	31	(	(	PUNCT
aps-38	140	32	abel	abel	PROPN
aps-38	140	33	2010	2010	NUM
aps-38	140	34	;	;	PUNCT
aps-38	140	35	congdon	congdon	PROPN
aps-38	140	36	1993	1993	NUM
aps-38	140	37	,	,	PUNCT
aps-38	140	38	1988	1988	NUM
aps-38	140	39	;	;	PUNCT
aps-38	140	40	crymble	crymble	ADJ
aps-38	140	41	,	,	PUNCT
aps-38	140	42	dennett	dennett	PROPN
aps-38	140	43	and	and	CCONJ
aps-38	140	44	hitchcock	hitchcock	PROPN
aps-38	140	45	2017	2017	NUM
aps-38	140	46	;	;	PUNCT
aps-38	140	47	flowerdew	flowerdew	NOUN
aps-38	140	48	2010	2010	NUM
aps-38	140	49	,	,	PUNCT
aps-38	140	50	1982	1982	NUM
aps-38	140	51	;	;	PUNCT
aps-38	140	52	flowerdew	flowerdew	NOUN
aps-38	140	53	and	and	CCONJ
aps-38	140	54	aitkin	aitkin	PROPN
aps-38	140	55	1982	1982	NUM
aps-38	140	56	;	;	PUNCT
aps-38	140	57	shen	shen	PROPN
aps-38	140	58	2017	2017	NUM
aps-38	140	59	,	,	PUNCT
aps-38	140	60	2015	2015	NUM
aps-38	140	61	;	;	PUNCT
aps-38	140	62	willekens	willeken	VERB
aps-38	140	63	1999	1999	NUM
aps-38	140	64	)	)	PUNCT
aps-38	140	65	.	.	PUNCT
aps-38	141	1	the	the	DET
aps-38	141	2	differences	difference	NOUN
aps-38	141	3	between	between	ADP
aps-38	141	4	the	the	DET
aps-38	141	5	two	two	NUM
aps-38	141	6	are	be	AUX
aps-38	141	7	technical	technical	ADJ
aps-38	141	8	,	,	PUNCT
aps-38	141	9	but	but	CCONJ
aps-38	141	10	some	some	PRON
aps-38	141	11	,	,	PUNCT
aps-38	141	12	including	include	VERB
aps-38	141	13	congdon	congdon	PROPN
aps-38	141	14	(	(	PUNCT
aps-38	141	15	1993	1993	NUM
aps-38	141	16	)	)	PUNCT
aps-38	141	17	,	,	PUNCT
aps-38	141	18	argue	argue	VERB
aps-38	141	19	that	that	SCONJ
aps-38	141	20	negative	negative	ADJ
aps-38	141	21	binomial	binomial	ADJ
aps-38	141	22	models	model	NOUN
aps-38	141	23	should	should	AUX
aps-38	141	24	be	be	AUX
aps-38	141	25	used	use	VERB
aps-38	141	26	over	over	ADP
aps-38	141	27	poisson	poisson	NOUN
aps-38	141	28	due	due	ADP
aps-38	141	29	to	to	ADP
aps-38	141	30	a	a	DET
aps-38	141	31	statistical	statistical	ADJ
aps-38	141	32	phenomenon	phenomenon	NOUN
aps-38	141	33	known	know	VERB
aps-38	141	34	as	as	ADP
aps-38	141	35	overdispersal	overdispersal	ADJ
aps-38	141	36	.	.	PUNCT
aps-38	142	1	for	for	ADP
aps-38	142	2	ease	ease	NOUN
aps-38	142	3	of	of	ADP
aps-38	142	4	explanation	explanation	NOUN
aps-38	142	5	here	here	ADV
aps-38	142	6	we	we	PRON
aps-38	142	7	will	will	AUX
aps-38	142	8	44	44	NUM
aps-38	142	9	dennett	dennett	PROPN
aps-38	142	10	australian	australian	ADJ
aps-38	142	11	population	population	NOUN
aps-38	142	12	studies	study	NOUN
aps-38	142	13	2	2	NUM
aps-38	142	14	(	(	PUNCT
aps-38	142	15	2	2	NUM
aps-38	142	16	)	)	PUNCT
aps-38	142	17	2018	2018	NUM
aps-38	142	18	continue	continue	VERB
aps-38	142	19	with	with	ADP
aps-38	142	20	the	the	DET
aps-38	142	21	poisson	poisson	PROPN
aps-38	142	22	model	model	NOUN
aps-38	142	23	,	,	PUNCT
aps-38	142	24	but	but	CCONJ
aps-38	142	25	be	be	AUX
aps-38	142	26	aware	aware	ADJ
aps-38	142	27	that	that	SCONJ
aps-38	142	28	in	in	ADP
aps-38	142	29	practice	practice	NOUN
aps-38	142	30	a	a	DET
aps-38	142	31	negative	negative	ADJ
aps-38	142	32	binomial	binomial	ADJ
aps-38	142	33	model	model	NOUN
aps-38	142	34	may	may	AUX
aps-38	142	35	be	be	AUX
aps-38	142	36	better	well	ADJ
aps-38	142	37	.	.	PUNCT
aps-38	143	1	in	in	ADP
aps-38	143	2	the	the	DET
aps-38	143	3	migration	migration	NOUN
aps-38	143	4	modelling	model	VERB
aps-38	143	5	literature	literature	NOUN
aps-38	143	6	others	other	NOUN
aps-38	143	7	,	,	PUNCT
aps-38	143	8	such	such	ADJ
aps-38	143	9	as	as	ADP
aps-38	143	10	raymer	raymer	NOUN
aps-38	143	11	(	(	PUNCT
aps-38	143	12	raymer	raymer	NOUN
aps-38	143	13	2007	2007	NUM
aps-38	143	14	;	;	PUNCT
aps-38	143	15	raymer	raymer	NOUN
aps-38	143	16	,	,	PUNCT
aps-38	143	17	abel	abel	PROPN
aps-38	143	18	and	and	CCONJ
aps-38	143	19	smith	smith	PROPN
aps-38	143	20	2007	2007	NUM
aps-38	143	21	;	;	PUNCT
aps-38	143	22	raymer	raymer	NOUN
aps-38	143	23	and	and	CCONJ
aps-38	143	24	giulietti	giulietti	PROPN
aps-38	143	25	2010	2010	NUM
aps-38	143	26	;	;	PUNCT
aps-38	143	27	rogers	roger	NOUN
aps-38	143	28	and	and	CCONJ
aps-38	143	29	raymer	raymer	NOUN
aps-38	143	30	1998	1998	NUM
aps-38	143	31	)	)	PUNCT
aps-38	143	32	,	,	PUNCT
aps-38	143	33	have	have	AUX
aps-38	143	34	used	use	VERB
aps-38	143	35	what	what	PRON
aps-38	143	36	are	be	AUX
aps-38	143	37	described	describe	VERB
aps-38	143	38	as	as	ADP
aps-38	143	39	loglinear	loglinear	NOUN
aps-38	143	40	models	model	NOUN
aps-38	143	41	.	.	PUNCT
aps-38	144	1	these	these	PRON
aps-38	144	2	are	be	AUX
aps-38	144	3	exactly	exactly	ADV
aps-38	144	4	the	the	DET
aps-38	144	5	same	same	ADJ
aps-38	144	6	as	as	ADP
aps-38	144	7	poisson	poisson	NOUN
aps-38	144	8	models	model	NOUN
aps-38	144	9	with	with	ADP
aps-38	144	10	the	the	DET
aps-38	144	11	distinction	distinction	NOUN
aps-38	144	12	that	that	SCONJ
aps-38	144	13	poisson	poisson	NOUN
aps-38	144	14	models	model	NOUN
aps-38	144	15	will	will	AUX
aps-38	144	16	usually	usually	ADV
aps-38	144	17	contain	contain	VERB
aps-38	144	18	both	both	CCONJ
aps-38	144	19	continuous	continuous	ADJ
aps-38	144	20	and	and	CCONJ
aps-38	144	21	categorical	categorical	ADJ
aps-38	144	22	predictor	predictor	NOUN
aps-38	144	23	variables	variable	NOUN
aps-38	144	24	,	,	PUNCT
aps-38	144	25	whereas	whereas	SCONJ
aps-38	144	26	log	log	NOUN
aps-38	144	27	-	-	PUNCT
aps-38	144	28	linear	linear	NOUN
aps-38	144	29	models	model	NOUN
aps-38	144	30	will	will	AUX
aps-38	144	31	only	only	ADV
aps-38	144	32	contain	contain	VERB
aps-38	144	33	categorical	categorical	ADJ
aps-38	144	34	predictors	predictor	NOUN
aps-38	144	35	.	.	PUNCT
aps-38	145	1	for	for	ADP
aps-38	145	2	a	a	DET
aps-38	145	3	two	two	NUM
aps-38	145	4	-	-	PUNCT
aps-38	145	5	dimensional	dimensional	ADJ
aps-38	145	6	population	population	NOUN
aps-38	145	7	flow	flow	NOUN
aps-38	145	8	matrix	matrix	NOUN
aps-38	145	9	between	between	ADP
aps-38	145	10	origins	origin	NOUN
aps-38	145	11	and	and	CCONJ
aps-38	145	12	destinations	destination	NOUN
aps-38	145	13	,	,	PUNCT
aps-38	145	14	these	these	DET
aps-38	145	15	categorical	categorical	ADJ
aps-38	145	16	predictors	predictor	NOUN
aps-38	145	17	would	would	AUX
aps-38	145	18	generally	generally	ADV
aps-38	145	19	be	be	AUX
aps-38	145	20	the	the	DET
aps-38	145	21	origin	origin	NOUN
aps-38	145	22	and	and	CCONJ
aps-38	145	23	destination	destination	NOUN
aps-38	145	24	zones	zone	NOUN
aps-38	145	25	–	–	PUNCT
aps-38	145	26	in	in	ADP
aps-38	145	27	effect	effect	NOUN
aps-38	145	28	we	we	PRON
aps-38	145	29	would	would	AUX
aps-38	145	30	have	have	VERB
aps-38	145	31	a	a	DET
aps-38	145	32	two	two	NUM
aps-38	145	33	-	-	PUNCT
aps-38	145	34	dimensional	dimensional	ADJ
aps-38	145	35	contingency	contingency	NOUN
aps-38	145	36	table	table	NOUN
aps-38	145	37	.	.	PUNCT
aps-38	146	1	the	the	DET
aps-38	146	2	analysis	analysis	NOUN
aps-38	146	3	of	of	ADP
aps-38	146	4	contingency	contingency	NOUN
aps-38	146	5	tables	table	NOUN
aps-38	146	6	is	be	AUX
aps-38	146	7	well	well	ADV
aps-38	146	8	established	establish	VERB
aps-38	146	9	in	in	ADP
aps-38	146	10	statistics	statistic	NOUN
aps-38	146	11	and	and	CCONJ
aps-38	146	12	as	as	ADP
aps-38	146	13	such	such	ADJ
aps-38	146	14	has	have	VERB
aps-38	146	15	its	its	PRON
aps-38	146	16	own	own	ADJ
aps-38	146	17	lexicon	lexicon	NOUN
aps-38	146	18	.	.	PUNCT
aps-38	147	1	in	in	ADP
aps-38	147	2	log	log	NOUN
aps-38	147	3	-	-	PUNCT
aps-38	147	4	linear	linear	NOUN
aps-38	147	5	modelling	modelling	NOUN
aps-38	147	6	terminology	terminology	NOUN
aps-38	147	7	,	,	PUNCT
aps-38	147	8	these	these	DET
aps-38	147	9	origin	origin	NOUN
aps-38	147	10	and	and	CCONJ
aps-38	147	11	destination	destination	NOUN
aps-38	147	12	zones	zone	NOUN
aps-38	147	13	would	would	AUX
aps-38	147	14	be	be	AUX
aps-38	147	15	described	describe	VERB
aps-38	147	16	as	as	ADP
aps-38	147	17	the	the	DET
aps-38	147	18	‘	'	PUNCT
aps-38	147	19	main	main	ADJ
aps-38	147	20	’	'	PUNCT
aps-38	147	21	or	or	CCONJ
aps-38	147	22	‘	'	PUNCT
aps-38	147	23	fixed	fix	VERB
aps-38	147	24	’	'	PUNCT
aps-38	147	25	effects	effect	NOUN
aps-38	147	26	and	and	CCONJ
aps-38	147	27	are	be	AUX
aps-38	147	28	equivalent	equivalent	ADJ
aps-38	147	29	to	to	ADP
aps-38	147	30	the	the	DET
aps-38	147	31	‘	'	PUNCT
aps-38	147	32	constraints	constraint	NOUN
aps-38	147	33	’	'	PUNCT
aps-38	147	34	that	that	PRON
aps-38	147	35	will	will	AUX
aps-38	147	36	be	be	AUX
aps-38	147	37	introduced	introduce	VERB
aps-38	147	38	later	later	ADV
aps-38	147	39	on	on	ADV
aps-38	147	40	in	in	ADP
aps-38	147	41	this	this	DET
aps-38	147	42	paper	paper	NOUN
aps-38	147	43	.	.	PUNCT
aps-38	148	1	this	this	DET
aps-38	148	2	discussion	discussion	NOUN
aps-38	148	3	of	of	ADP
aps-38	148	4	poisson	poisson	PROPN
aps-38	148	5	,	,	PUNCT
aps-38	148	6	log	log	NOUN
aps-38	148	7	-	-	PUNCT
aps-38	148	8	linear	linear	NOUN
aps-38	148	9	and	and	CCONJ
aps-38	148	10	spatial	spatial	ADJ
aps-38	148	11	interaction	interaction	NOUN
aps-38	148	12	models	model	NOUN
aps-38	148	13	is	be	AUX
aps-38	148	14	included	include	VERB
aps-38	148	15	here	here	ADV
aps-38	148	16	for	for	ADP
aps-38	148	17	the	the	DET
aps-38	148	18	purpose	purpose	NOUN
aps-38	148	19	of	of	ADP
aps-38	148	20	highlighting	highlight	VERB
aps-38	148	21	that	that	SCONJ
aps-38	148	22	in	in	ADP
aps-38	148	23	the	the	DET
aps-38	148	24	migration	migration	NOUN
aps-38	148	25	modelling	model	VERB
aps-38	148	26	literature	literature	NOUN
aps-38	148	27	it	it	PRON
aps-38	148	28	can	can	AUX
aps-38	148	29	be	be	AUX
aps-38	148	30	particularly	particularly	ADV
aps-38	148	31	confusing	confusing	ADJ
aps-38	148	32	when	when	SCONJ
aps-38	148	33	reading	read	VERB
aps-38	148	34	papers	paper	NOUN
aps-38	148	35	by	by	ADP
aps-38	148	36	different	different	ADJ
aps-38	148	37	authors	author	NOUN
aps-38	148	38	who	who	PRON
aps-38	148	39	all	all	PRON
aps-38	148	40	use	use	VERB
aps-38	148	41	very	very	ADV
aps-38	148	42	different	different	ADJ
aps-38	148	43	terminology	terminology	NOUN
aps-38	148	44	and	and	CCONJ
aps-38	148	45	modelling	modelling	NOUN
aps-38	148	46	paradigms	paradigm	NOUN
aps-38	148	47	.	.	PUNCT
aps-38	149	1	iterative	iterative	NOUN
aps-38	149	2	proportional	proportional	ADJ
aps-38	149	3	fitting	fitting	ADJ
aps-38	149	4	(	(	PUNCT
aps-38	149	5	ipf	ipf	NOUN
aps-38	149	6	)	)	PUNCT
aps-38	149	7	is	be	AUX
aps-38	149	8	another	another	DET
aps-38	149	9	term	term	NOUN
aps-38	149	10	that	that	PRON
aps-38	149	11	may	may	AUX
aps-38	149	12	appear	appear	VERB
aps-38	149	13	when	when	SCONJ
aps-38	149	14	researching	research	VERB
aps-38	149	15	papers	paper	NOUN
aps-38	149	16	in	in	ADP
aps-38	149	17	this	this	DET
aps-38	149	18	area	area	NOUN
aps-38	149	19	(	(	PUNCT
aps-38	149	20	lomax	lomax	PROPN
aps-38	149	21	and	and	CCONJ
aps-38	149	22	norman	norman	PROPN
aps-38	149	23	2016	2016	NUM
aps-38	149	24	)	)	PUNCT
aps-38	149	25	.	.	PUNCT
aps-38	150	1	the	the	DET
aps-38	150	2	salient	salient	NOUN
aps-38	150	3	point	point	NOUN
aps-38	150	4	is	be	AUX
aps-38	150	5	that	that	SCONJ
aps-38	150	6	all	all	PRON
aps-38	150	7	of	of	ADP
aps-38	150	8	the	the	DET
aps-38	150	9	models	model	NOUN
aps-38	150	10	are	be	AUX
aps-38	150	11	essentially	essentially	ADV
aps-38	150	12	doing	do	VERB
aps-38	150	13	the	the	DET
aps-38	150	14	same	same	ADJ
aps-38	150	15	thing	thing	NOUN
aps-38	150	16	,	,	PUNCT
aps-38	150	17	but	but	CCONJ
aps-38	150	18	the	the	DET
aps-38	150	19	papers	paper	NOUN
aps-38	150	20	in	in	ADP
aps-38	150	21	which	which	PRON
aps-38	150	22	they	they	PRON
aps-38	150	23	are	be	AUX
aps-38	150	24	outlined	outline	VERB
aps-38	150	25	ascribe	ascribe	NOUN
aps-38	150	26	to	to	ADP
aps-38	150	27	different	different	ADJ
aps-38	150	28	definitional	definitional	ADJ
aps-38	150	29	conventions	convention	NOUN
aps-38	150	30	.	.	PUNCT
aps-38	151	1	how	how	SCONJ
aps-38	151	2	is	be	AUX
aps-38	151	3	the	the	DET
aps-38	151	4	poisson	poisson	NOUN
aps-38	151	5	distribution	distribution	NOUN
aps-38	151	6	different	different	ADJ
aps-38	151	7	to	to	ADP
aps-38	151	8	a	a	DET
aps-38	151	9	normal	normal	ADJ
aps-38	151	10	distribution	distribution	NOUN
aps-38	151	11	?	?	PUNCT
aps-38	152	1	aside	aside	ADV
aps-38	152	2	from	from	ADP
aps-38	152	3	them	they	PRON
aps-38	152	4	describing	describe	VERB
aps-38	152	5	different	different	ADJ
aps-38	152	6	frequency	frequency	NOUN
aps-38	152	7	/	/	SYM
aps-38	152	8	probability	probability	NOUN
aps-38	152	9	distributions	distribution	NOUN
aps-38	152	10	,	,	PUNCT
aps-38	152	11	they	they	PRON
aps-38	152	12	behave	behave	VERB
aps-38	152	13	differently	differently	ADV
aps-38	152	14	for	for	ADP
aps-38	152	15	different	different	ADJ
aps-38	152	16	sets	set	NOUN
aps-38	152	17	of	of	ADP
aps-38	152	18	observations	observation	NOUN
aps-38	152	19	.	.	PUNCT
aps-38	153	1	below	below	ADV
aps-38	153	2	are	be	AUX
aps-38	153	3	two	two	NUM
aps-38	153	4	histograms	histogram	NOUN
aps-38	153	5	(	(	PUNCT
aps-38	153	6	figure	figure	NOUN
aps-38	153	7	3	3	NUM
aps-38	153	8	)	)	PUNCT
aps-38	153	9	.	.	PUNCT
aps-38	154	1	the	the	DET
aps-38	154	2	first	first	ADJ
aps-38	154	3	is	be	AUX
aps-38	154	4	a	a	DET
aps-38	154	5	random	random	ADJ
aps-38	154	6	variable	variable	NOUN
aps-38	154	7	with	with	ADP
aps-38	154	8	a	a	DET
aps-38	154	9	normal	normal	ADJ
aps-38	154	10	distribution	distribution	NOUN
aps-38	154	11	,	,	PUNCT
aps-38	154	12	with	with	ADP
aps-38	154	13	a	a	DET
aps-38	154	14	mean	mean	NOUN
aps-38	154	15	of	of	ADP
aps-38	154	16	75	75	NUM
aps-38	154	17	and	and	CCONJ
aps-38	154	18	a	a	DET
aps-38	154	19	standard	standard	ADJ
aps-38	154	20	deviation	deviation	NOUN
aps-38	154	21	of	of	ADP
aps-38	154	22	5	5	NUM
aps-38	154	23	;	;	PUNCT
aps-38	154	24	the	the	DET
aps-38	154	25	second	second	NOUN
aps-38	154	26	is	be	AUX
aps-38	154	27	a	a	DET
aps-38	154	28	histogram	histogram	NOUN
aps-38	154	29	of	of	ADP
aps-38	154	30	poisson	poisson	NOUN
aps-38	154	31	distributed	distribute	VERB
aps-38	154	32	variable	variable	NOUN
aps-38	154	33	with	with	ADP
aps-38	154	34	the	the	DET
aps-38	154	35	same	same	ADJ
aps-38	154	36	mean	mean	NOUN
aps-38	154	37	(	(	PUNCT
aps-38	154	38	poisson	poisson	NOUN
aps-38	154	39	distributions	distribution	NOUN
aps-38	154	40	have	have	AUX
aps-38	154	41	only	only	ADV
aps-38	154	42	one	one	NUM
aps-38	154	43	parameter	parameter	NOUN
aps-38	154	44	–	–	PUNCT
aps-38	154	45	the	the	DET
aps-38	154	46	mean	mean	NOUN
aps-38	154	47	)	)	PUNCT
aps-38	154	48	.	.	PUNCT
aps-38	155	1	you	you	PRON
aps-38	155	2	will	will	AUX
aps-38	155	3	notice	notice	VERB
aps-38	155	4	that	that	SCONJ
aps-38	155	5	they	they	PRON
aps-38	155	6	look	look	VERB
aps-38	155	7	broadly	broadly	ADV
aps-38	155	8	similar	similar	ADJ
aps-38	155	9	.	.	PUNCT
aps-38	156	1	however	however	ADV
aps-38	156	2	,	,	PUNCT
aps-38	156	3	with	with	ADP
aps-38	156	4	a	a	DET
aps-38	156	5	poisson	poisson	NOUN
aps-38	156	6	distributed	distribute	VERB
aps-38	156	7	variable	variable	NOUN
aps-38	156	8	,	,	PUNCT
aps-38	156	9	when	when	SCONJ
aps-38	156	10	the	the	DET
aps-38	156	11	mean	mean	ADJ
aps-38	156	12	(	(	PUNCT
aps-38	156	13	𝜆𝜆	𝜆𝜆	NOUN
aps-38	156	14	lambda	lambda	NOUN
aps-38	156	15	)	)	PUNCT
aps-38	156	16	changes	change	NOUN
aps-38	156	17	,	,	PUNCT
aps-38	156	18	so	so	ADV
aps-38	156	19	does	do	VERB
aps-38	156	20	the	the	DET
aps-38	156	21	shape	shape	NOUN
aps-38	156	22	of	of	ADP
aps-38	156	23	the	the	DET
aps-38	156	24	frequency	frequency	NOUN
aps-38	156	25	distribution	distribution	NOUN
aps-38	156	26	.	.	PUNCT
aps-38	157	1	as	as	SCONJ
aps-38	157	2	the	the	DET
aps-38	157	3	mean	mean	NOUN
aps-38	157	4	gets	get	VERB
aps-38	157	5	smaller	small	ADJ
aps-38	157	6	,	,	PUNCT
aps-38	157	7	and	and	CCONJ
aps-38	157	8	this	this	PRON
aps-38	157	9	is	be	AUX
aps-38	157	10	often	often	ADV
aps-38	157	11	the	the	DET
aps-38	157	12	case	case	NOUN
aps-38	157	13	with	with	ADP
aps-38	157	14	flow	flow	NOUN
aps-38	157	15	data	datum	NOUN
aps-38	157	16	where	where	SCONJ
aps-38	157	17	small	small	ADJ
aps-38	157	18	flows	flow	NOUN
aps-38	157	19	are	be	AUX
aps-38	157	20	very	very	ADV
aps-38	157	21	likely	likely	ADJ
aps-38	157	22	,	,	PUNCT
aps-38	157	23	the	the	DET
aps-38	157	24	distribution	distribution	NOUN
aps-38	157	25	starts	start	VERB
aps-38	157	26	to	to	PART
aps-38	157	27	look	look	VERB
aps-38	157	28	a	a	DET
aps-38	157	29	lot	lot	NOUN
aps-38	157	30	more	more	ADJ
aps-38	157	31	like	like	ADP
aps-38	157	32	a	a	DET
aps-38	157	33	skewed	skewed	ADJ
aps-38	157	34	or	or	CCONJ
aps-38	157	35	log	log	NOUN
aps-38	157	36	-	-	PUNCT
aps-38	157	37	normal	normal	ADJ
aps-38	157	38	continuous	continuous	ADJ
aps-38	157	39	distribution	distribution	NOUN
aps-38	157	40	.	.	PUNCT
aps-38	158	1	the	the	DET
aps-38	158	2	key	key	ADJ
aps-38	158	3	point	point	NOUN
aps-38	158	4	is	be	AUX
aps-38	158	5	that	that	SCONJ
aps-38	158	6	it	it	PRON
aps-38	158	7	is	be	AUX
aps-38	158	8	not	not	PART
aps-38	158	9	a	a	DET
aps-38	158	10	continuous	continuous	ADJ
aps-38	158	11	distribution	distribution	NOUN
aps-38	158	12	but	but	CCONJ
aps-38	158	13	a	a	DET
aps-38	158	14	discrete	discrete	ADJ
aps-38	158	15	(	(	PUNCT
aps-38	158	16	poisson	poisson	NOUN
aps-38	158	17	)	)	PUNCT
aps-38	158	18	distribution	distribution	NOUN
aps-38	158	19	.	.	PUNCT
aps-38	159	1	figure	figure	NOUN
aps-38	159	2	4	4	NUM
aps-38	159	3	plots	plot	NOUN
aps-38	159	4	a	a	DET
aps-38	159	5	frequency	frequency	NOUN
aps-38	159	6	distribution	distribution	NOUN
aps-38	159	7	for	for	ADP
aps-38	159	8	a	a	DET
aps-38	159	9	discrete	discrete	ADJ
aps-38	159	10	variable	variable	NOUN
aps-38	159	11	with	with	ADP
aps-38	159	12	a	a	DET
aps-38	159	13	small	small	ADJ
aps-38	159	14	mean	mean	NOUN
aps-38	159	15	.	.	PUNCT
aps-38	160	1	the	the	DET
aps-38	160	2	shape	shape	NOUN
aps-38	160	3	of	of	ADP
aps-38	160	4	the	the	DET
aps-38	160	5	histogram	histogram	NOUN
aps-38	160	6	is	be	AUX
aps-38	160	7	very	very	ADV
aps-38	160	8	similar	similar	ADJ
aps-38	160	9	to	to	ADP
aps-38	160	10	a	a	DET
aps-38	160	11	positively	positively	ADV
aps-38	160	12	skewed	skewed	ADJ
aps-38	160	13	continuous	continuous	ADJ
aps-38	160	14	distribution	distribution	NOUN
aps-38	160	15	.	.	PUNCT
aps-38	161	1	for	for	ADP
aps-38	161	2	any	any	DET
aps-38	161	3	system	system	NOUN
aps-38	161	4	of	of	ADP
aps-38	161	5	population	population	NOUN
aps-38	161	6	flows	flow	VERB
aps-38	161	7	between	between	ADP
aps-38	161	8	a	a	DET
aps-38	161	9	matrix	matrix	NOUN
aps-38	161	10	of	of	ADP
aps-38	161	11	origins	origin	NOUN
aps-38	161	12	and	and	CCONJ
aps-38	161	13	destinations	destination	NOUN
aps-38	161	14	,	,	PUNCT
aps-38	161	15	the	the	DET
aps-38	161	16	flows	flow	NOUN
aps-38	161	17	will	will	AUX
aps-38	161	18	have	have	VERB
aps-38	161	19	a	a	DET
aps-38	161	20	mean	mean	ADJ
aps-38	161	21	value	value	NOUN
aps-38	161	22	of	of	ADP
aps-38	161	23	𝜆𝜆𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖	NOUN
aps-38	161	24	which	which	PRON
aps-38	161	25	will	will	AUX
aps-38	161	26	normally	normally	ADV
aps-38	161	27	be	be	AUX
aps-38	161	28	quite	quite	ADV
aps-38	161	29	low	low	ADJ
aps-38	161	30	and	and	CCONJ
aps-38	161	31	will	will	AUX
aps-38	161	32	dictate	dictate	VERB
aps-38	161	33	the	the	DET
aps-38	161	34	distribution	distribution	NOUN
aps-38	161	35	.	.	PUNCT
aps-38	162	1	plotting	plot	VERB
aps-38	162	2	the	the	DET
aps-38	162	3	frequency	frequency	NOUN
aps-38	162	4	distribution	distribution	NOUN
aps-38	162	5	of	of	ADP
aps-38	162	6	migration	migration	NOUN
aps-38	162	7	flows	flow	NOUN
aps-38	162	8	between	between	ADP
aps-38	162	9	our	our	PRON
aps-38	162	10	australian	australian	ADJ
aps-38	162	11	gccsas	gccsa	NOUN
aps-38	162	12	(	(	PUNCT
aps-38	162	13	excluding	exclude	VERB
aps-38	162	14	within	within	ADP
aps-38	162	15	-	-	PUNCT
aps-38	162	16	area	area	NOUN
aps-38	162	17	flows	flow	NOUN
aps-38	162	18	–	–	PUNCT
aps-38	162	19	figure	figure	NOUN
aps-38	162	20	5	5	NUM
aps-38	162	21	)	)	PUNCT
aps-38	162	22	,	,	PUNCT
aps-38	162	23	reveals	reveal	VERB
aps-38	162	24	a	a	DET
aps-38	162	25	histogram	histogram	NOUN
aps-38	162	26	which	which	PRON
aps-38	162	27	looks	look	VERB
aps-38	162	28	like	like	ADP
aps-38	162	29	a	a	DET
aps-38	162	30	skewed	skewed	ADJ
aps-38	162	31	normal	normal	ADJ
aps-38	162	32	or	or	CCONJ
aps-38	162	33	,	,	PUNCT
aps-38	162	34	more	more	ADV
aps-38	162	35	accurately	accurately	ADV
aps-38	162	36	,	,	PUNCT
aps-38	162	37	a	a	DET
aps-38	162	38	poisson	poisson	NOUN
aps-38	162	39	distribution	distribution	NOUN
aps-38	162	40	with	with	ADP
aps-38	162	41	a	a	DET
aps-38	162	42	small	small	ADJ
aps-38	162	43	mean	mean	NOUN
aps-38	162	44	.	.	PUNCT
aps-38	163	1	australian	australian	ADJ
aps-38	163	2	population	population	NOUN
aps-38	163	3	studies	study	NOUN
aps-38	163	4	2	2	NUM
aps-38	163	5	(	(	PUNCT
aps-38	163	6	2	2	NUM
aps-38	163	7	)	)	PUNCT
aps-38	163	8	2018	2018	NUM
aps-38	163	9	dennett	dennett	PROPN
aps-38	163	10	45	45	NUM
aps-38	163	11	(	(	PUNCT
aps-38	163	12	a	a	NOUN
aps-38	163	13	)	)	PUNCT
aps-38	163	14	random	random	ADJ
aps-38	163	15	variable	variable	NOUN
aps-38	163	16	with	with	ADP
aps-38	163	17	a	a	DET
aps-38	163	18	normal	normal	ADJ
aps-38	163	19	distribution	distribution	NOUN
aps-38	163	20	(	(	PUNCT
aps-38	163	21	b	b	NOUN
aps-38	163	22	)	)	PUNCT
aps-38	163	23	random	random	ADJ
aps-38	163	24	variable	variable	NOUN
aps-38	163	25	with	with	ADP
aps-38	163	26	a	a	DET
aps-38	163	27	poisson	poisson	NOUN
aps-38	163	28	distribution	distribution	NOUN
aps-38	163	29	figure	figure	NOUN
aps-38	163	30	3	3	NUM
aps-38	163	31	:	:	PUNCT
aps-38	163	32	normal	normal	ADJ
aps-38	163	33	and	and	CCONJ
aps-38	163	34	poisson	poisson	NOUN
aps-38	163	35	distributions	distribution	NOUN
aps-38	163	36	figure	figure	VERB
aps-38	163	37	4	4	NUM
aps-38	163	38	:	:	PUNCT
aps-38	163	39	poisson	poisson	NOUN
aps-38	163	40	distribution	distribution	NOUN
aps-38	163	41	with	with	ADP
aps-38	163	42	a	a	DET
aps-38	163	43	small	small	ADJ
aps-38	163	44	mean	mean	NOUN
aps-38	163	45	46	46	NUM
aps-38	163	46	dennett	dennett	PROPN
aps-38	163	47	australian	australian	ADJ
aps-38	163	48	population	population	NOUN
aps-38	163	49	studies	study	NOUN
aps-38	163	50	2	2	NUM
aps-38	163	51	(	(	PUNCT
aps-38	163	52	2	2	NUM
aps-38	163	53	)	)	PUNCT
aps-38	163	54	2018	2018	NUM
aps-38	163	55	figure	figure	NOUN
aps-38	163	56	5	5	NUM
aps-38	163	57	:	:	PUNCT
aps-38	163	58	frequency	frequency	NOUN
aps-38	163	59	distribution	distribution	NOUN
aps-38	163	60	of	of	ADP
aps-38	163	61	migration	migration	NOUN
aps-38	163	62	flows	flow	NOUN
aps-38	163	63	(	(	PUNCT
aps-38	163	64	excluding	exclude	VERB
aps-38	163	65	intra	intra	ADJ
aps-38	163	66	-	-	ADJ
aps-38	163	67	zonal	zonal	ADJ
aps-38	163	68	flows	flow	NOUN
aps-38	163	69	)	)	PUNCT
aps-38	163	70	between	between	ADP
aps-38	163	71	gccsas	gccsa	NOUN
aps-38	163	72	in	in	ADP
aps-38	163	73	all	all	PRON
aps-38	163	74	of	of	ADP
aps-38	163	75	this	this	DET
aps-38	163	76	discussion	discussion	NOUN
aps-38	163	77	about	about	ADP
aps-38	163	78	frequency	frequency	NOUN
aps-38	163	79	/	/	SYM
aps-38	163	80	probability	probability	NOUN
aps-38	163	81	distributions	distribution	NOUN
aps-38	163	82	,	,	PUNCT
aps-38	163	83	it	it	PRON
aps-38	163	84	can	can	AUX
aps-38	163	85	be	be	AUX
aps-38	163	86	easy	easy	ADJ
aps-38	163	87	to	to	PART
aps-38	163	88	lose	lose	VERB
aps-38	163	89	track	track	NOUN
aps-38	163	90	of	of	ADP
aps-38	163	91	the	the	DET
aps-38	163	92	purpose	purpose	NOUN
aps-38	163	93	for	for	ADP
aps-38	163	94	understanding	understand	VERB
aps-38	163	95	all	all	PRON
aps-38	163	96	of	of	ADP
aps-38	163	97	this	this	PRON
aps-38	163	98	.	.	PUNCT
aps-38	164	1	perhaps	perhaps	ADV
aps-38	164	2	the	the	DET
aps-38	164	3	easiest	easy	ADJ
aps-38	164	4	way	way	NOUN
aps-38	164	5	to	to	PART
aps-38	164	6	remind	remind	VERB
aps-38	164	7	ourselves	ourselves	PRON
aps-38	164	8	of	of	ADP
aps-38	164	9	the	the	DET
aps-38	164	10	purpose	purpose	NOUN
aps-38	164	11	is	be	AUX
aps-38	164	12	in	in	ADP
aps-38	164	13	understanding	understand	VERB
aps-38	164	14	the	the	DET
aps-38	164	15	basics	basic	NOUN
aps-38	164	16	of	of	ADP
aps-38	164	17	what	what	PRON
aps-38	164	18	a	a	DET
aps-38	164	19	regression	regression	NOUN
aps-38	164	20	model	model	NOUN
aps-38	164	21	is	be	AUX
aps-38	164	22	trying	try	VERB
aps-38	164	23	to	to	PART
aps-38	164	24	do	do	VERB
aps-38	164	25	.	.	PUNCT
aps-38	165	1	at	at	ADP
aps-38	165	2	its	its	PRON
aps-38	165	3	most	most	ADV
aps-38	165	4	simple	simple	ADJ
aps-38	165	5	a	a	DET
aps-38	165	6	regression	regression	NOUN
aps-38	165	7	model	model	NOUN
aps-38	165	8	is	be	AUX
aps-38	165	9	nothing	nothing	PRON
aps-38	165	10	more	more	ADJ
aps-38	165	11	than	than	ADP
aps-38	165	12	a	a	DET
aps-38	165	13	line	line	NOUN
aps-38	165	14	of	of	ADP
aps-38	165	15	best	good	ADJ
aps-38	165	16	fit	fit	ADJ
aps-38	165	17	drawn	draw	VERB
aps-38	165	18	through	through	ADP
aps-38	165	19	a	a	DET
aps-38	165	20	cloud	cloud	NOUN
aps-38	165	21	of	of	ADP
aps-38	165	22	observations	observation	NOUN
aps-38	165	23	.	.	PUNCT
aps-38	166	1	if	if	SCONJ
aps-38	166	2	we	we	PRON
aps-38	166	3	think	think	VERB
aps-38	166	4	of	of	ADP
aps-38	166	5	a	a	DET
aps-38	166	6	spatial	spatial	ADJ
aps-38	166	7	interaction	interaction	NOUN
aps-38	166	8	model	model	NOUN
aps-38	166	9	as	as	ADP
aps-38	166	10	partially	partially	ADV
aps-38	166	11	representing	represent	VERB
aps-38	166	12	the	the	DET
aps-38	166	13	relationship	relationship	NOUN
aps-38	166	14	between	between	ADP
aps-38	166	15	volume	volume	NOUN
aps-38	166	16	of	of	ADP
aps-38	166	17	flow	flow	NOUN
aps-38	166	18	and	and	CCONJ
aps-38	166	19	cost	cost	NOUN
aps-38	166	20	of	of	ADP
aps-38	166	21	interaction	interaction	NOUN
aps-38	166	22	(	(	PUNCT
aps-38	166	23	distance	distance	NOUN
aps-38	166	24	)	)	PUNCT
aps-38	166	25	,	,	PUNCT
aps-38	166	26	then	then	ADV
aps-38	166	27	we	we	PRON
aps-38	166	28	would	would	AUX
aps-38	166	29	expect	expect	VERB
aps-38	166	30	to	to	PART
aps-38	166	31	see	see	VERB
aps-38	166	32	a	a	DET
aps-38	166	33	straight	straight	ADJ
aps-38	166	34	line	line	NOUN
aps-38	166	35	between	between	ADP
aps-38	166	36	flow	flow	NOUN
aps-38	166	37	volumes	volume	NOUN
aps-38	166	38	and	and	CCONJ
aps-38	166	39	distance	distance	NOUN
aps-38	166	40	.	.	PUNCT
aps-38	167	1	figure	figure	NOUN
aps-38	167	2	2a	2a	PROPN
aps-38	167	3	shows	show	VERB
aps-38	167	4	that	that	SCONJ
aps-38	167	5	when	when	SCONJ
aps-38	167	6	plotting	plot	VERB
aps-38	167	7	raw	raw	ADJ
aps-38	167	8	flows	flow	NOUN
aps-38	167	9	against	against	ADP
aps-38	167	10	distance	distance	NOUN
aps-38	167	11	,	,	PUNCT
aps-38	167	12	the	the	DET
aps-38	167	13	relationship	relationship	NOUN
aps-38	167	14	can	can	AUX
aps-38	167	15	not	not	PART
aps-38	167	16	be	be	AUX
aps-38	167	17	represented	represent	VERB
aps-38	167	18	by	by	ADP
aps-38	167	19	a	a	DET
aps-38	167	20	straight	straight	ADJ
aps-38	167	21	line	line	NOUN
aps-38	167	22	.	.	PUNCT
aps-38	168	1	however	however	ADV
aps-38	168	2	,	,	PUNCT
aps-38	168	3	if	if	SCONJ
aps-38	168	4	both	both	CCONJ
aps-38	168	5	the	the	DET
aps-38	168	6	flows	flow	NOUN
aps-38	168	7	and	and	CCONJ
aps-38	168	8	the	the	DET
aps-38	168	9	distance	distance	NOUN
aps-38	168	10	are	be	AUX
aps-38	168	11	logged	log	VERB
aps-38	168	12	,	,	PUNCT
aps-38	168	13	as	as	ADP
aps-38	168	14	in	in	ADP
aps-38	168	15	equation	equation	NOUN
aps-38	168	16	5	5	NUM
aps-38	168	17	,	,	PUNCT
aps-38	168	18	a	a	DET
aps-38	168	19	plot	plot	NOUN
aps-38	168	20	similar	similar	ADJ
aps-38	168	21	to	to	ADP
aps-38	168	22	the	the	DET
aps-38	168	23	one	one	NOUN
aps-38	168	24	below	below	ADV
aps-38	168	25	in	in	ADP
aps-38	168	26	figure	figure	NOUN
aps-38	168	27	6	6	NUM
aps-38	168	28	is	be	AUX
aps-38	168	29	produced	produce	VERB
aps-38	168	30	.	.	PUNCT
aps-38	169	1	it	it	PRON
aps-38	169	2	might	might	AUX
aps-38	169	3	not	not	PART
aps-38	169	4	be	be	AUX
aps-38	169	5	a	a	DET
aps-38	169	6	clear	clear	ADJ
aps-38	169	7	straight	straight	ADJ
aps-38	169	8	-	-	PUNCT
aps-38	169	9	line	line	NOUN
aps-38	169	10	relationship	relationship	NOUN
aps-38	169	11	,	,	PUNCT
aps-38	169	12	but	but	CCONJ
aps-38	169	13	there	there	PRON
aps-38	169	14	is	be	VERB
aps-38	169	15	certainly	certainly	ADV
aps-38	169	16	a	a	DET
aps-38	169	17	suggestion	suggestion	NOUN
aps-38	169	18	that	that	SCONJ
aps-38	169	19	the	the	DET
aps-38	169	20	blue	blue	ADJ
aps-38	169	21	regression	regression	NOUN
aps-38	169	22	line	line	NOUN
aps-38	169	23	does	do	AUX
aps-38	169	24	represent	represent	VERB
aps-38	169	25	the	the	DET
aps-38	169	26	underlying	underlie	VERB
aps-38	169	27	relationship	relationship	NOUN
aps-38	169	28	between	between	ADP
aps-38	169	29	migration	migration	NOUN
aps-38	169	30	flows	flow	NOUN
aps-38	169	31	and	and	CCONJ
aps-38	169	32	distance	distance	NOUN
aps-38	169	33	.	.	PUNCT
aps-38	170	1	figure	figure	VERB
aps-38	170	2	6	6	NUM
aps-38	170	3	:	:	PUNCT
aps-38	170	4	relationship	relationship	NOUN
aps-38	170	5	between	between	ADP
aps-38	170	6	log(distance	log(distance	NOUN
aps-38	170	7	)	)	PUNCT
aps-38	170	8	and	and	CCONJ
aps-38	170	9	log(migration	log(migration	NOUN
aps-38	170	10	flows	flow	NOUN
aps-38	170	11	)	)	PUNCT
aps-38	170	12	between	between	ADP
aps-38	170	13	gccsas	gccsa	NOUN
aps-38	170	14	australian	australian	ADJ
aps-38	170	15	population	population	NOUN
aps-38	170	16	studies	study	NOUN
aps-38	170	17	2	2	NUM
aps-38	170	18	(	(	PUNCT
aps-38	170	19	2	2	NUM
aps-38	170	20	)	)	PUNCT
aps-38	170	21	2018	2018	NUM
aps-38	170	22	dennett	dennett	PROPN
aps-38	170	23	47	47	NUM
aps-38	171	1	now	now	ADV
aps-38	171	2	the	the	DET
aps-38	171	3	discussion	discussion	NOUN
aps-38	171	4	in	in	ADP
aps-38	171	5	the	the	DET
aps-38	171	6	previous	previous	ADJ
aps-38	171	7	session	session	NOUN
aps-38	171	8	indicates	indicate	VERB
aps-38	171	9	that	that	SCONJ
aps-38	171	10	the	the	DET
aps-38	171	11	𝑦𝑦	𝑦𝑦	PROPN
aps-38	171	12	variable	variable	NOUN
aps-38	171	13	in	in	ADP
aps-38	171	14	our	our	PRON
aps-38	171	15	model	model	NOUN
aps-38	171	16	is	be	AUX
aps-38	171	17	not	not	PART
aps-38	171	18	logged	log	VERB
aps-38	171	19	as	as	ADP
aps-38	171	20	in	in	ADP
aps-38	171	21	the	the	DET
aps-38	171	22	graph	graph	NOUN
aps-38	171	23	above	above	ADV
aps-38	171	24	.	.	PUNCT
aps-38	172	1	however	however	ADV
aps-38	172	2	,	,	PUNCT
aps-38	172	3	it	it	PRON
aps-38	172	4	can	can	AUX
aps-38	172	5	still	still	ADV
aps-38	172	6	be	be	AUX
aps-38	172	7	modelled	model	VERB
aps-38	172	8	using	use	VERB
aps-38	172	9	something	something	PRON
aps-38	172	10	like	like	ADP
aps-38	172	11	the	the	DET
aps-38	172	12	blue	blue	ADJ
aps-38	172	13	line	line	NOUN
aps-38	172	14	if	if	SCONJ
aps-38	172	15	we	we	PRON
aps-38	172	16	assume	assume	VERB
aps-38	172	17	a	a	DET
aps-38	172	18	poisson	poisson	NOUN
aps-38	172	19	distribution	distribution	NOUN
aps-38	172	20	.	.	PUNCT
aps-38	173	1	equation	equation	NOUN
aps-38	173	2	5	5	NUM
aps-38	173	3	can	can	AUX
aps-38	173	4	now	now	ADV
aps-38	173	5	be	be	AUX
aps-38	173	6	re	re	VERB
aps-38	173	7	-	-	VERB
aps-38	173	8	specified	specify	VERB
aps-38	173	9	as	as	ADP
aps-38	173	10	a	a	DET
aps-38	173	11	poisson	poisson	NOUN
aps-38	173	12	regression	regression	NOUN
aps-38	173	13	model	model	NOUN
aps-38	173	14	.	.	PUNCT
aps-38	174	1	instead	instead	ADV
aps-38	174	2	of	of	ADP
aps-38	174	3	the	the	DET
aps-38	174	4	dependent	dependent	ADJ
aps-38	174	5	variable	variable	NOUN
aps-38	174	6	being	be	AUX
aps-38	174	7	ln𝑇𝑇𝑖𝑖𝑖𝑖	ln𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	174	8	,	,	PUNCT
aps-38	174	9	it	it	PRON
aps-38	174	10	is	be	AUX
aps-38	174	11	now	now	ADV
aps-38	174	12	the	the	DET
aps-38	174	13	mean	mean	NOUN
aps-38	174	14	of	of	ADP
aps-38	174	15	the	the	DET
aps-38	174	16	poisson	poisson	NOUN
aps-38	174	17	distribution	distribution	NOUN
aps-38	174	18	𝜆𝜆𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖	NOUN
aps-38	174	19	and	and	CCONJ
aps-38	174	20	the	the	DET
aps-38	174	21	model	model	NOUN
aps-38	174	22	becomes	become	VERB
aps-38	174	23	:	:	PUNCT
aps-38	174	24	𝜆𝜆𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖	NOUN
aps-38	175	1	=	=	SYM
aps-38	175	2	exp(𝑘𝑘	exp(𝑘𝑘	VERB
aps-38	175	3	+	+	CCONJ
aps-38	176	1	𝜇𝜇ln𝑉𝑉𝑖𝑖	𝜇𝜇ln𝑉𝑉𝑖𝑖	ADJ
aps-38	176	2	+	+	NOUN
aps-38	176	3	𝛼𝛼ln𝑊𝑊𝑖𝑖	𝛼𝛼ln𝑊𝑊𝑖𝑖	NOUN
aps-38	176	4	−	−	ADP
aps-38	176	5	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	NOUN
aps-38	176	6	)	)	PUNCT
aps-38	176	7	(	(	PUNCT
aps-38	176	8	6	6	X
aps-38	176	9	)	)	PUNCT
aps-38	176	10	what	what	PRON
aps-38	176	11	this	this	DET
aps-38	176	12	model	model	NOUN
aps-38	176	13	says	say	VERB
aps-38	176	14	is	be	AUX
aps-38	176	15	𝜆𝜆𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖	ADJ
aps-38	176	16	(	(	PUNCT
aps-38	176	17	the	the	DET
aps-38	176	18	dependent	dependent	ADJ
aps-38	176	19	variable	variable	NOUN
aps-38	176	20	–	–	PUNCT
aps-38	176	21	the	the	DET
aps-38	176	22	estimate	estimate	NOUN
aps-38	176	23	of	of	ADP
aps-38	176	24	𝑇𝑇𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	176	25	)	)	PUNCT
aps-38	176	26	is	be	AUX
aps-38	176	27	logarithmically	logarithmically	ADV
aps-38	176	28	linked	link	VERB
aps-38	176	29	to	to	ADP
aps-38	176	30	(	(	PUNCT
aps-38	176	31	or	or	CCONJ
aps-38	176	32	modelled	model	VERB
aps-38	176	33	by	by	ADP
aps-38	176	34	)	)	PUNCT
aps-38	176	35	a	a	DET
aps-38	176	36	linear	linear	ADJ
aps-38	176	37	combination	combination	NOUN
aps-38	176	38	of	of	ADP
aps-38	176	39	the	the	DET
aps-38	176	40	logged	log	VERB
aps-38	176	41	independent	independent	ADJ
aps-38	176	42	variables	variable	NOUN
aps-38	176	43	in	in	ADP
aps-38	176	44	the	the	DET
aps-38	176	45	model	model	NOUN
aps-38	176	46	.	.	PUNCT
aps-38	177	1	using	use	VERB
aps-38	177	2	equation	equation	NOUN
aps-38	177	3	6	6	NUM
aps-38	177	4	,	,	PUNCT
aps-38	177	5	a	a	DET
aps-38	177	6	poisson	poisson	NOUN
aps-38	177	7	regression	regression	NOUN
aps-38	177	8	model	model	NOUN
aps-38	177	9	can	can	AUX
aps-38	177	10	be	be	AUX
aps-38	177	11	fitted	fit	VERB
aps-38	177	12	to	to	PART
aps-38	177	13	produce	produce	VERB
aps-38	177	14	estimates	estimate	NOUN
aps-38	177	15	of	of	ADP
aps-38	177	16	𝑘𝑘	𝑘𝑘	PROPN
aps-38	177	17	,	,	PUNCT
aps-38	177	18	𝜇𝜇	𝜇𝜇	ADP
aps-38	177	19	,	,	PUNCT
aps-38	177	20	𝛼𝛼	𝛼𝛼	ADP
aps-38	177	21	and	and	CCONJ
aps-38	177	22	𝛽𝛽	𝛽𝛽	ADJ
aps-38	177	23	–	–	PUNCT
aps-38	177	24	or	or	CCONJ
aps-38	177	25	put	put	VERB
aps-38	177	26	another	another	DET
aps-38	177	27	way	way	NOUN
aps-38	177	28	,	,	PUNCT
aps-38	177	29	we	we	PRON
aps-38	177	30	can	can	AUX
aps-38	177	31	use	use	VERB
aps-38	177	32	the	the	DET
aps-38	177	33	regression	regression	NOUN
aps-38	177	34	model	model	NOUN
aps-38	177	35	to	to	PART
aps-38	177	36	calibrate	calibrate	VERB
aps-38	177	37	our	our	PRON
aps-38	177	38	parameters	parameter	NOUN
aps-38	177	39	.	.	PUNCT
aps-38	178	1	it	it	PRON
aps-38	178	2	is	be	AUX
aps-38	178	3	very	very	ADV
aps-38	178	4	straight	straight	ADV
aps-38	178	5	forward	forward	ADV
aps-38	178	6	to	to	PART
aps-38	178	7	run	run	VERB
aps-38	178	8	a	a	DET
aps-38	178	9	poisson	poisson	NOUN
aps-38	178	10	regression	regression	NOUN
aps-38	178	11	model	model	NOUN
aps-38	178	12	in	in	ADP
aps-38	178	13	r	r	NOUN
aps-38	178	14	using	use	VERB
aps-38	178	15	the	the	DET
aps-38	178	16	glm	glm	NOUN
aps-38	178	17	(	(	PUNCT
aps-38	178	18	)	)	PUNCT
aps-38	178	19	(	(	PUNCT
aps-38	178	20	generalised	generalise	VERB
aps-38	178	21	linear	linear	NOUN
aps-38	178	22	models	model	NOUN
aps-38	178	23	)	)	PUNCT
aps-38	178	24	function	function	NOUN
aps-38	178	25	.	.	PUNCT
aps-38	179	1	the	the	DET
aps-38	179	2	code	code	NOUN
aps-38	179	3	to	to	PART
aps-38	179	4	do	do	AUX
aps-38	179	5	this	this	PRON
aps-38	179	6	can	can	AUX
aps-38	179	7	be	be	AUX
aps-38	179	8	found	find	VERB
aps-38	179	9	in	in	ADP
aps-38	179	10	the	the	DET
aps-38	179	11	accompanying	accompanying	ADJ
aps-38	179	12	guide	guide	NOUN
aps-38	179	13	.	.	PUNCT
aps-38	180	1	delving	delve	VERB
aps-38	180	2	into	into	ADP
aps-38	180	3	the	the	DET
aps-38	180	4	depths	depth	NOUN
aps-38	180	5	of	of	ADP
aps-38	180	6	the	the	DET
aps-38	180	7	glm	glm	PROPN
aps-38	180	8	(	(	PUNCT
aps-38	180	9	)	)	PUNCT
aps-38	180	10	function	function	NOUN
aps-38	180	11	documentation	documentation	NOUN
aps-38	180	12	will	will	AUX
aps-38	180	13	reveal	reveal	VERB
aps-38	180	14	that	that	SCONJ
aps-38	180	15	the	the	DET
aps-38	180	16	parameters	parameter	NOUN
aps-38	180	17	are	be	AUX
aps-38	180	18	calibrated	calibrate	VERB
aps-38	180	19	though	though	SCONJ
aps-38	180	20	an	an	DET
aps-38	180	21	‘	'	PUNCT
aps-38	180	22	iteratively	iteratively	ADV
aps-38	180	23	re	re	VERB
aps-38	180	24	-	-	VERB
aps-38	180	25	weighted	weighted	ADJ
aps-38	180	26	least	least	ADJ
aps-38	180	27	squares	square	NOUN
aps-38	180	28	’	'	PUNCT
aps-38	180	29	algorithm	algorithm	NOUN
aps-38	180	30	.	.	PUNCT
aps-38	181	1	this	this	PRON
aps-38	181	2	essentially	essentially	ADV
aps-38	181	3	fits	fit	VERB
aps-38	181	4	lots	lot	NOUN
aps-38	181	5	of	of	ADP
aps-38	181	6	lines	line	NOUN
aps-38	181	7	similar	similar	ADJ
aps-38	181	8	to	to	ADP
aps-38	181	9	that	that	PRON
aps-38	181	10	in	in	ADP
aps-38	181	11	figure	figure	NOUN
aps-38	181	12	6	6	NUM
aps-38	181	13	to	to	ADP
aps-38	181	14	the	the	DET
aps-38	181	15	data	datum	NOUN
aps-38	181	16	until	until	SCONJ
aps-38	181	17	it	it	PRON
aps-38	181	18	finds	find	VERB
aps-38	181	19	the	the	DET
aps-38	181	20	best	good	ADJ
aps-38	181	21	one	one	NUM
aps-38	181	22	.	.	PUNCT
aps-38	182	1	it	it	PRON
aps-38	182	2	continually	continually	ADV
aps-38	182	3	adjusts	adjust	VERB
aps-38	182	4	the	the	DET
aps-38	182	5	parameters	parameter	NOUN
aps-38	182	6	to	to	PART
aps-38	182	7	minimise	minimise	VERB
aps-38	182	8	the	the	DET
aps-38	182	9	error	error	NOUN
aps-38	182	10	between	between	ADP
aps-38	182	11	the	the	DET
aps-38	182	12	observed	observe	VERB
aps-38	182	13	and	and	CCONJ
aps-38	182	14	expected	expect	VERB
aps-38	182	15	(	(	PUNCT
aps-38	182	16	blue	blue	ADJ
aps-38	182	17	line	line	NOUN
aps-38	182	18	)	)	PUNCT
aps-38	182	19	values	value	NOUN
aps-38	182	20	using	use	VERB
aps-38	182	21	some	some	DET
aps-38	182	22	goodness	goodness	NOUN
aps-38	182	23	-	-	PUNCT
aps-38	182	24	of	of	ADP
aps-38	182	25	-	-	PUNCT
aps-38	182	26	fit	fit	ADJ
aps-38	182	27	measure	measure	NOUN
aps-38	182	28	,	,	PUNCT
aps-38	182	29	not	not	PART
aps-38	182	30	dissimilar	dissimilar	ADJ
aps-38	182	31	to	to	ADP
aps-38	182	32	an	an	DET
aps-38	182	33	r2	r2	NOUN
aps-38	182	34	or	or	CCONJ
aps-38	182	35	rmse	rmse	NOUN
aps-38	182	36	.	.	PUNCT
aps-38	183	1	running	run	VERB
aps-38	183	2	the	the	DET
aps-38	183	3	model	model	NOUN
aps-38	183	4	will	will	AUX
aps-38	183	5	produce	produce	VERB
aps-38	183	6	some	some	DET
aps-38	183	7	output	output	NOUN
aps-38	183	8	similar	similar	ADJ
aps-38	183	9	to	to	ADP
aps-38	183	10	that	that	PRON
aps-38	183	11	shown	show	VERB
aps-38	183	12	below	below	ADP
aps-38	183	13	in	in	ADP
aps-38	183	14	box	box	PROPN
aps-38	183	15	1	1	NUM
aps-38	183	16	.	.	PUNCT
aps-38	183	17	call	call	NOUN
aps-38	183	18	:	:	PUNCT
aps-38	183	19	glm(formula	glm(formula	NUM
aps-38	183	20	=	=	PUNCT
aps-38	183	21	flow	flow	NOUN
aps-38	183	22	~	~	PUNCT
aps-38	183	23	log(vi1_origpop	log(vi1_origpop	PROPN
aps-38	183	24	)	)	PUNCT
aps-38	183	25	+	+	PUNCT
aps-38	183	26	log(wj3_destmedinc	log(wj3_destmedinc	X
aps-38	183	27	)	)	PUNCT
aps-38	183	28	+	+	SYM
aps-38	183	29	log(dist	log(dist	NOUN
aps-38	183	30	)	)	PUNCT
aps-38	183	31	,	,	PUNCT
aps-38	183	32	family	family	NOUN
aps-38	183	33	=	=	SYM
aps-38	183	34	poisson(link	poisson(link	NOUN
aps-38	183	35	=	=	PUNCT
aps-38	183	36	"	"	PUNCT
aps-38	183	37	log	log	NOUN
aps-38	183	38	"	"	PUNCT
aps-38	183	39	)	)	PUNCT
aps-38	183	40	,	,	PUNCT
aps-38	183	41	data	datum	NOUN
aps-38	183	42	=	=	SYM
aps-38	183	43	mdatasub	mdatasub	NOUN
aps-38	183	44	,	,	PUNCT
aps-38	183	45	na.action	na.action	NOUN
aps-38	183	46	=	=	SYM
aps-38	183	47	na.exclude	na.exclude	NUM
aps-38	183	48	)	)	PUNCT
aps-38	183	49	deviance	deviance	NOUN
aps-38	183	50	residuals	residual	NOUN
aps-38	183	51	:	:	PUNCT
aps-38	183	52	min	min	NOUN
aps-38	183	53	1q	1q	ADJ
aps-38	183	54	median	median	NOUN
aps-38	184	1	3q	3q	NUM
aps-38	184	2	max	max	PROPN
aps-38	184	3	-177.78	-177.78	PROPN
aps-38	184	4	-54.49	-54.49	PROPN
aps-38	184	5	-24.50	-24.50	PROPN
aps-38	184	6	9.21	9.21	NUM
aps-38	184	7	470.11	470.11	NUM
aps-38	184	8	coefficients	coefficient	NOUN
aps-38	184	9	:	:	PUNCT
aps-38	184	10	estimate	estimate	VERB
aps-38	184	11	std	std	NOUN
aps-38	184	12	.	.	NOUN
aps-38	184	13	error	error	NOUN
aps-38	184	14	z	z	NOUN
aps-38	184	15	value	value	NOUN
aps-38	184	16	pr(>|z|	pr(>|z|	NOUN
aps-38	184	17	)	)	PUNCT
aps-38	184	18	(	(	PUNCT
aps-38	184	19	intercept	intercept	NOUN
aps-38	184	20	)	)	PUNCT
aps-38	184	21	7.1953790	7.1953790	NUM
aps-38	184	22	0.0248852	0.0248852	NUM
aps-38	184	23	289.14	289.14	NUM
aps-38	184	24	<	<	X
aps-38	184	25	0.0000000000000002	0.0000000000000002	NUM
aps-38	184	26	*	*	PUNCT
aps-38	184	27	*	*	PUNCT
aps-38	184	28	*	*	PUNCT
aps-38	184	29	log(vi1_origpop	log(vi1_origpop	PROPN
aps-38	184	30	)	)	PUNCT
aps-38	184	31	0.5903363	0.5903363	NUM
aps-38	184	32	0.0009232	0.0009232	NUM
aps-38	185	1	639.42	639.42	NUM
aps-38	185	2	<	<	X
aps-38	185	3	0.0000000000000002	0.0000000000000002	NUM
aps-38	185	4	*	*	PUNCT
aps-38	185	5	*	*	PUNCT
aps-38	185	6	*	*	PUNCT
aps-38	185	7	log(wj3_destmedinc	log(wj3_destmedinc	PROPN
aps-38	185	8	)	)	PUNCT
aps-38	185	9	-0.1671417	-0.1671417	NOUN
aps-38	185	10	0.0033663	0.0033663	NUM
aps-38	185	11	-49.65	-49.65	PUNCT
aps-38	185	12	<	<	X
aps-38	185	13	0.0000000000000002	0.0000000000000002	NUM
aps-38	185	14	*	*	PUNCT
aps-38	185	15	*	*	PUNCT
aps-38	185	16	*	*	NOUN
aps-38	185	17	log(dist	log(dist	NOUN
aps-38	185	18	)	)	PUNCT
aps-38	185	19	-0.8119316	-0.8119316	NOUN
aps-38	186	1	0.0010157	0.0010157	NUM
aps-38	187	1	-799.41	-799.41	PROPN
aps-38	187	2	<	<	X
aps-38	187	3	0.0000000000000002	0.0000000000000002	NUM
aps-38	187	4	*	*	PUNCT
aps-38	187	5	*	*	PUNCT
aps-38	187	6	*	*	PUNCT
aps-38	187	7	--	--	PUNCT
aps-38	187	8	signif	signif	NOUN
aps-38	187	9	.	.	PUNCT
aps-38	188	1	codes	code	NOUN
aps-38	188	2	:	:	PUNCT
aps-38	188	3	0	0	NUM
aps-38	188	4	‘	'	PUNCT
aps-38	188	5	*	*	PUNCT
aps-38	188	6	*	*	PUNCT
aps-38	188	7	*	*	NOUN
aps-38	188	8	’	'	PUNCT
aps-38	188	9	0.001	0.001	NUM
aps-38	188	10	‘	'	PUNCT
aps-38	188	11	*	*	NOUN
aps-38	188	12	*	*	NOUN
aps-38	188	13	’	'	PUNCT
aps-38	188	14	0.01	0.01	NUM
aps-38	188	15	‘	'	PUNCT
aps-38	188	16	*	*	NOUN
aps-38	188	17	’	'	PUNCT
aps-38	188	18	0.05	0.05	NUM
aps-38	188	19	‘	'	PUNCT
aps-38	188	20	.	.	PUNCT
aps-38	188	21	’	'	PUNCT
aps-38	189	1	0.1	0.1	NUM
aps-38	189	2	‘	'	PUNCT
aps-38	189	3	’	'	PUNCT
aps-38	189	4	1	1	NUM
aps-38	189	5	(	(	PUNCT
aps-38	189	6	dispersion	dispersion	NOUN
aps-38	189	7	parameter	parameter	NOUN
aps-38	189	8	for	for	ADP
aps-38	189	9	poisson	poisson	PROPN
aps-38	189	10	family	family	NOUN
aps-38	189	11	taken	take	VERB
aps-38	189	12	to	to	PART
aps-38	189	13	be	be	AUX
aps-38	189	14	1	1	NUM
aps-38	189	15	)	)	PUNCT
aps-38	189	16	null	null	ADJ
aps-38	189	17	deviance	deviance	NOUN
aps-38	189	18	:	:	PUNCT
aps-38	189	19	2750417	2750417	NUM
aps-38	189	20	on	on	ADP
aps-38	189	21	209	209	NUM
aps-38	189	22	degrees	degree	NOUN
aps-38	189	23	of	of	ADP
aps-38	189	24	freedom	freedom	NOUN
aps-38	189	25	residual	residual	ADJ
aps-38	189	26	deviance	deviance	NOUN
aps-38	189	27	:	:	PUNCT
aps-38	189	28	1503573	1503573	NUM
aps-38	189	29	on	on	ADP
aps-38	189	30	206	206	NUM
aps-38	189	31	degrees	degree	NOUN
aps-38	189	32	of	of	ADP
aps-38	189	33	freedom	freedom	NOUN
aps-38	189	34	aic	aic	PROPN
aps-38	189	35	:	:	PUNCT
aps-38	189	36	1505580	1505580	NUM
aps-38	189	37	number	number	NOUN
aps-38	189	38	of	of	ADP
aps-38	189	39	fisher	fisher	PROPN
aps-38	189	40	scoring	score	VERB
aps-38	189	41	iterations	iteration	NOUN
aps-38	189	42	:	:	PUNCT
aps-38	189	43	5	5	NUM
aps-38	189	44	box	box	NOUN
aps-38	189	45	1	1	NUM
aps-38	189	46	:	:	PUNCT
aps-38	189	47	model	model	NOUN
aps-38	189	48	output	output	NOUN
aps-38	189	49	including	include	VERB
aps-38	189	50	calibrate	calibrate	ADJ
aps-38	189	51	parameters	parameter	NOUN
aps-38	189	52	from	from	ADP
aps-38	189	53	r	r	NOUN
aps-38	189	54	glm	glm	NOUN
aps-38	189	55	(	(	PUNCT
aps-38	189	56	)	)	PUNCT
aps-38	189	57	implementation	implementation	NOUN
aps-38	189	58	of	of	ADP
aps-38	189	59	equation	equation	NOUN
aps-38	189	60	6	6	NUM
aps-38	189	61	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	SYM
aps-38	189	62	48	48	NUM
aps-38	189	63	dennett	dennett	PROPN
aps-38	189	64	australian	australian	ADJ
aps-38	189	65	population	population	NOUN
aps-38	189	66	studies	study	NOUN
aps-38	189	67	2	2	NUM
aps-38	189	68	(	(	PUNCT
aps-38	189	69	2	2	NUM
aps-38	189	70	)	)	SYM
aps-38	189	71	2018	2018	NUM
aps-38	189	72	box	box	NOUN
aps-38	189	73	1	1	NUM
aps-38	189	74	contains	contain	VERB
aps-38	189	75	various	various	ADJ
aps-38	189	76	pieces	piece	NOUN
aps-38	189	77	of	of	ADP
aps-38	189	78	information	information	NOUN
aps-38	189	79	.	.	PUNCT
aps-38	190	1	the	the	DET
aps-38	190	2	‘	'	PUNCT
aps-38	190	3	call	call	NOUN
aps-38	190	4	’	'	PUNCT
aps-38	190	5	section	section	NOUN
aps-38	190	6	at	at	ADP
aps-38	190	7	the	the	DET
aps-38	190	8	top	top	NOUN
aps-38	190	9	is	be	AUX
aps-38	190	10	the	the	DET
aps-38	190	11	code	code	NOUN
aps-38	190	12	used	use	VERB
aps-38	190	13	to	to	PART
aps-38	190	14	run	run	VERB
aps-38	190	15	the	the	DET
aps-38	190	16	model	model	NOUN
aps-38	190	17	in	in	ADP
aps-38	190	18	r.	r.	PROPN
aps-38	190	19	then	then	ADV
aps-38	190	20	,	,	PUNCT
aps-38	190	21	under	under	ADP
aps-38	190	22	the	the	DET
aps-38	190	23	‘	'	PUNCT
aps-38	190	24	coefficients	coefficient	NOUN
aps-38	190	25	’	'	PUNCT
aps-38	190	26	section	section	NOUN
aps-38	190	27	,	,	PUNCT
aps-38	190	28	are	be	AUX
aps-38	190	29	the	the	DET
aps-38	190	30	values	value	NOUN
aps-38	190	31	for	for	ADP
aps-38	190	32	the	the	DET
aps-38	190	33	four	four	NUM
aps-38	190	34	calibrated	calibrate	VERB
aps-38	190	35	parameters	parameter	NOUN
aps-38	190	36	in	in	ADP
aps-38	190	37	the	the	DET
aps-38	190	38	model	model	NOUN
aps-38	190	39	.	.	PUNCT
aps-38	191	1	in	in	ADP
aps-38	191	2	our	our	PRON
aps-38	191	3	original	original	ADJ
aps-38	191	4	model	model	NOUN
aps-38	191	5	,	,	PUNCT
aps-38	191	6	we	we	PRON
aps-38	191	7	estimated	estimate	VERB
aps-38	191	8	the	the	DET
aps-38	191	9	four	four	NUM
aps-38	191	10	parameters	parameter	NOUN
aps-38	191	11	as	as	SCONJ
aps-38	191	12	follows	follow	VERB
aps-38	191	13	:	:	PUNCT
aps-38	191	14	𝑘𝑘	𝑘𝑘	PROPN
aps-38	191	15	=	=	SYM
aps-38	191	16	3.28	3.28	NUM
aps-38	191	17	,	,	PUNCT
aps-38	191	18	𝜇𝜇	𝜇𝜇	ADP
aps-38	191	19	=	=	SYM
aps-38	191	20	1	1	NUM
aps-38	191	21	,	,	PUNCT
aps-38	191	22	𝛼𝛼	𝛼𝛼	ADP
aps-38	191	23	=	=	SYM
aps-38	191	24	1	1	NUM
aps-38	191	25	and	and	CCONJ
aps-38	191	26	𝛽𝛽	𝛽𝛽	X
aps-38	191	27	=	=	ADJ
aps-38	191	28	−2	−2	NOUN
aps-38	191	29	after	after	ADP
aps-38	191	30	fitting	fit	VERB
aps-38	191	31	the	the	DET
aps-38	191	32	poisson	poisson	PROPN
aps-38	191	33	model	model	NOUN
aps-38	191	34	,	,	PUNCT
aps-38	191	35	the	the	DET
aps-38	191	36	values	value	NOUN
aps-38	191	37	for	for	ADP
aps-38	191	38	the	the	DET
aps-38	191	39	parameters	parameter	NOUN
aps-38	191	40	can	can	AUX
aps-38	191	41	be	be	AUX
aps-38	191	42	found	find	VERB
aps-38	191	43	in	in	ADP
aps-38	191	44	the	the	DET
aps-38	191	45	‘	'	PUNCT
aps-38	191	46	estimate	estimate	NOUN
aps-38	191	47	’	'	PUNCT
aps-38	191	48	column	column	NOUN
aps-38	191	49	.	.	PUNCT
aps-38	192	1	they	they	PRON
aps-38	192	2	change	change	VERB
aps-38	192	3	to	to	ADP
aps-38	192	4	:	:	PUNCT
aps-38	192	5	𝑘𝑘	𝑘𝑘	PROPN
aps-38	192	6	=	=	PUNCT
aps-38	192	7	7.195	7.195	NUM
aps-38	192	8	,	,	PUNCT
aps-38	192	9	𝜇𝜇	𝜇𝜇	ADP
aps-38	192	10	=	=	PUNCT
aps-38	192	11	0.59	0.59	NUM
aps-38	192	12	,	,	PUNCT
aps-38	192	13	𝛼𝛼	𝛼𝛼	ADP
aps-38	192	14	=	=	SYM
aps-38	192	15	−0.17	−0.17	PROPN
aps-38	192	16	and	and	CCONJ
aps-38	192	17	𝛽𝛽	𝛽𝛽	X
aps-38	192	18	=	=	SYM
aps-38	192	19	−0.81	−0.81	PROPN
aps-38	192	20	the	the	DET
aps-38	192	21	regression	regression	NOUN
aps-38	192	22	model	model	NOUN
aps-38	192	23	also	also	ADV
aps-38	192	24	produces	produce	VERB
aps-38	192	25	some	some	DET
aps-38	192	26	other	other	ADJ
aps-38	192	27	useful	useful	ADJ
aps-38	192	28	pieces	piece	NOUN
aps-38	192	29	of	of	ADP
aps-38	192	30	output	output	NOUN
aps-38	192	31	.	.	PUNCT
aps-38	193	1	the	the	DET
aps-38	193	2	p	p	NOUN
aps-38	193	3	-	-	PUNCT
aps-38	193	4	values	value	NOUN
aps-38	193	5	in	in	ADP
aps-38	193	6	the	the	DET
aps-38	193	7	last	last	ADJ
aps-38	193	8	column	column	NOUN
aps-38	193	9	reveal	reveal	VERB
aps-38	193	10	that	that	SCONJ
aps-38	193	11	all	all	DET
aps-38	193	12	variables	variable	NOUN
aps-38	193	13	have	have	VERB
aps-38	193	14	a	a	PRON
aps-38	193	15	highly	highly	ADV
aps-38	193	16	(	(	PUNCT
aps-38	193	17	*	*	PUNCT
aps-38	193	18	*	*	PUNCT
aps-38	193	19	*	*	PUNCT
aps-38	193	20	)	)	PUNCT
aps-38	193	21	statistically	statistically	ADV
aps-38	193	22	significant	significant	ADJ
aps-38	193	23	influence	influence	NOUN
aps-38	193	24	on	on	ADP
aps-38	193	25	migration	migration	NOUN
aps-38	193	26	flows	flow	NOUN
aps-38	193	27	,	,	PUNCT
aps-38	193	28	with	with	ADP
aps-38	193	29	the	the	DET
aps-38	193	30	z	z	NOUN
aps-38	193	31	-	-	PUNCT
aps-38	193	32	scores	score	NOUN
aps-38	193	33	(	(	PUNCT
aps-38	193	34	standardised	standardised	ADJ
aps-38	193	35	coefficients	coefficient	NOUN
aps-38	193	36	)	)	PUNCT
aps-38	193	37	revealing	reveal	VERB
aps-38	193	38	that	that	DET
aps-38	193	39	distance	distance	NOUN
aps-38	193	40	has	have	VERB
aps-38	193	41	the	the	DET
aps-38	193	42	most	most	ADV
aps-38	193	43	(	(	PUNCT
aps-38	193	44	negative	negative	ADJ
aps-38	193	45	)	)	PUNCT
aps-38	193	46	influence	influence	NOUN
aps-38	193	47	on	on	ADP
aps-38	193	48	the	the	DET
aps-38	193	49	model	model	NOUN
aps-38	193	50	followed	follow	VERB
aps-38	193	51	by	by	ADP
aps-38	193	52	origin	origin	NOUN
aps-38	193	53	population	population	NOUN
aps-38	193	54	,	,	PUNCT
aps-38	193	55	with	with	ADP
aps-38	193	56	destination	destination	NOUN
aps-38	193	57	income	income	NOUN
aps-38	193	58	only	only	ADV
aps-38	193	59	a	a	DET
aps-38	193	60	small	small	ADJ
aps-38	193	61	influence	influence	NOUN
aps-38	193	62	on	on	ADP
aps-38	193	63	the	the	DET
aps-38	193	64	flows	flow	NOUN
aps-38	193	65	,	,	PUNCT
aps-38	193	66	and	and	CCONJ
aps-38	193	67	a	a	DET
aps-38	193	68	counterintuitive	counterintuitive	ADJ
aps-38	193	69	one	one	NUM
aps-38	193	70	at	at	ADP
aps-38	193	71	that	that	PRON
aps-38	193	72	,	,	PUNCT
aps-38	193	73	with	with	ADP
aps-38	193	74	increases	increase	NOUN
aps-38	193	75	in	in	ADP
aps-38	193	76	destination	destination	NOUN
aps-38	193	77	income	income	NOUN
aps-38	193	78	resulting	result	VERB
aps-38	193	79	in	in	ADP
aps-38	193	80	decreases	decrease	NOUN
aps-38	193	81	in	in	ADP
aps-38	193	82	migration	migration	NOUN
aps-38	193	83	flows	flow	NOUN
aps-38	193	84	.	.	PUNCT
aps-38	194	1	in	in	ADP
aps-38	194	2	the	the	DET
aps-38	194	3	accompanying	accompanying	ADJ
aps-38	194	4	practical	practical	ADJ
aps-38	194	5	guide	guide	NOUN
aps-38	194	6	,	,	PUNCT
aps-38	194	7	it	it	PRON
aps-38	194	8	is	be	AUX
aps-38	194	9	shown	show	VERB
aps-38	194	10	how	how	SCONJ
aps-38	194	11	these	these	DET
aps-38	194	12	parameter	parameter	NOUN
aps-38	194	13	values	value	NOUN
aps-38	194	14	can	can	AUX
aps-38	194	15	be	be	AUX
aps-38	194	16	inserted	insert	VERB
aps-38	194	17	directly	directly	ADV
aps-38	194	18	back	back	ADV
aps-38	194	19	into	into	ADP
aps-38	194	20	equation	equation	NOUN
aps-38	194	21	6	6	NUM
aps-38	194	22	to	to	PART
aps-38	194	23	produce	produce	VERB
aps-38	194	24	a	a	DET
aps-38	194	25	new	new	ADJ
aps-38	194	26	set	set	NOUN
aps-38	194	27	of	of	ADP
aps-38	194	28	estimates	estimate	NOUN
aps-38	194	29	similar	similar	ADJ
aps-38	194	30	to	to	ADP
aps-38	194	31	those	those	PRON
aps-38	194	32	in	in	ADP
aps-38	194	33	table	table	NOUN
aps-38	194	34	1	1	NUM
aps-38	194	35	.	.	PUNCT
aps-38	195	1	the	the	DET
aps-38	195	2	r2	r2	PROPN
aps-38	195	3	value	value	NOUN
aps-38	195	4	for	for	ADP
aps-38	195	5	this	this	DET
aps-38	195	6	new	new	ADJ
aps-38	195	7	matrix	matrix	NOUN
aps-38	195	8	improves	improve	VERB
aps-38	195	9	to	to	ADP
aps-38	195	10	0.32	0.32	NUM
aps-38	195	11	,	,	PUNCT
aps-38	195	12	meaning	mean	VERB
aps-38	195	13	that	that	SCONJ
aps-38	195	14	by	by	ADP
aps-38	195	15	simply	simply	ADV
aps-38	195	16	calibrating	calibrate	VERB
aps-38	195	17	the	the	DET
aps-38	195	18	model	model	NOUN
aps-38	195	19	parameters	parameter	NOUN
aps-38	195	20	on	on	ADP
aps-38	195	21	observed	observed	ADJ
aps-38	195	22	data	datum	NOUN
aps-38	195	23	,	,	PUNCT
aps-38	195	24	we	we	PRON
aps-38	195	25	are	be	AUX
aps-38	195	26	able	able	ADJ
aps-38	195	27	to	to	PART
aps-38	195	28	explain	explain	VERB
aps-38	195	29	around	around	ADP
aps-38	195	30	14	14	NUM
aps-38	195	31	per	per	ADP
aps-38	195	32	cent	cent	NOUN
aps-38	195	33	more	more	ADJ
aps-38	195	34	of	of	ADP
aps-38	195	35	the	the	DET
aps-38	195	36	variation	variation	NOUN
aps-38	195	37	in	in	ADP
aps-38	195	38	the	the	DET
aps-38	195	39	migration	migration	NOUN
aps-38	195	40	flows	flow	NOUN
aps-38	195	41	in	in	ADP
aps-38	195	42	our	our	PRON
aps-38	195	43	system	system	NOUN
aps-38	195	44	.	.	PUNCT
aps-38	196	1	2.2	2.2	NUM
aps-38	196	2	.	.	PUNCT
aps-38	197	1	constrained	constrain	VERB
aps-38	197	2	spatial	spatial	ADJ
aps-38	197	3	interaction	interaction	NOUN
aps-38	197	4	models	model	NOUN
aps-38	197	5	returning	return	VERB
aps-38	197	6	to	to	ADP
aps-38	197	7	wilson	wilson	PROPN
aps-38	197	8	’s	’s	PART
aps-38	197	9	(	(	PUNCT
aps-38	197	10	1971	1971	NUM
aps-38	197	11	)	)	PUNCT
aps-38	197	12	seminal	seminal	ADJ
aps-38	197	13	paper	paper	NOUN
aps-38	197	14	,	,	PUNCT
aps-38	197	15	he	he	PRON
aps-38	197	16	introduces	introduce	VERB
aps-38	197	17	a	a	DET
aps-38	197	18	full	full	ADJ
aps-38	197	19	family	family	NOUN
aps-38	197	20	of	of	ADP
aps-38	197	21	spatial	spatial	ADJ
aps-38	197	22	interaction	interaction	NOUN
aps-38	197	23	models	model	NOUN
aps-38	197	24	of	of	ADP
aps-38	197	25	which	which	PRON
aps-38	197	26	the	the	DET
aps-38	197	27	unconstrained	unconstrained	ADJ
aps-38	197	28	model	model	NOUN
aps-38	197	29	is	be	AUX
aps-38	197	30	just	just	ADV
aps-38	197	31	the	the	DET
aps-38	197	32	start	start	NOUN
aps-38	197	33	.	.	PUNCT
aps-38	198	1	of	of	ADP
aps-38	198	2	course	course	NOUN
aps-38	198	3	,	,	PUNCT
aps-38	198	4	since	since	SCONJ
aps-38	198	5	then	then	ADV
aps-38	198	6	,	,	PUNCT
aps-38	198	7	there	there	PRON
aps-38	198	8	have	have	AUX
aps-38	198	9	been	be	AUX
aps-38	198	10	all	all	PRON
aps-38	198	11	manner	manner	NOUN
aps-38	198	12	of	of	ADP
aps-38	198	13	incremental	incremental	ADJ
aps-38	198	14	advances	advance	NOUN
aps-38	198	15	and	and	CCONJ
aps-38	198	16	alternatives	alternative	NOUN
aps-38	198	17	(	(	PUNCT
aps-38	198	18	dennett	dennett	PROPN
aps-38	198	19	and	and	CCONJ
aps-38	198	20	wilson	wilson	PROPN
aps-38	198	21	2013	2013	NUM
aps-38	198	22	;	;	PUNCT
aps-38	198	23	fotheringham	fotheringham	PROPN
aps-38	198	24	1983	1983	NUM
aps-38	198	25	;	;	PUNCT
aps-38	198	26	pooler	pooler	PROPN
aps-38	198	27	1994	1994	NUM
aps-38	198	28	;	;	PUNCT
aps-38	198	29	stillwell	stillwell	PROPN
aps-38	198	30	1978	1978	NUM
aps-38	198	31	)	)	PUNCT
aps-38	198	32	.	.	PUNCT
aps-38	199	1	however	however	ADV
aps-38	199	2	,	,	PUNCT
aps-38	199	3	in	in	ADP
aps-38	199	4	this	this	DET
aps-38	199	5	section	section	NOUN
aps-38	199	6	we	we	PRON
aps-38	199	7	will	will	AUX
aps-38	199	8	concentrate	concentrate	VERB
aps-38	199	9	on	on	ADP
aps-38	199	10	wilson	wilson	PROPN
aps-38	199	11	’s	’s	PART
aps-38	199	12	original	original	ADJ
aps-38	199	13	family	family	NOUN
aps-38	199	14	–	–	PUNCT
aps-38	199	15	the	the	DET
aps-38	199	16	production	production	NOUN
aps-38	199	17	(	(	PUNCT
aps-38	199	18	origin	origin	NOUN
aps-38	199	19	)	)	PUNCT
aps-38	199	20	constrained	constrain	VERB
aps-38	199	21	model	model	NOUN
aps-38	199	22	;	;	PUNCT
aps-38	199	23	the	the	DET
aps-38	199	24	attraction	attraction	NOUN
aps-38	199	25	(	(	PUNCT
aps-38	199	26	destination	destination	NOUN
aps-38	199	27	)	)	PUNCT
aps-38	199	28	constrained	constrain	VERB
aps-38	199	29	model	model	NOUN
aps-38	199	30	;	;	PUNCT
aps-38	199	31	and	and	CCONJ
aps-38	199	32	the	the	DET
aps-38	199	33	doubly	doubly	ADV
aps-38	199	34	constrained	constrain	VERB
aps-38	199	35	model	model	NOUN
aps-38	199	36	–	–	PUNCT
aps-38	199	37	but	but	CCONJ
aps-38	199	38	show	show	VERB
aps-38	199	39	how	how	SCONJ
aps-38	199	40	the	the	DET
aps-38	199	41	poisson	poisson	NOUN
aps-38	199	42	regression	regression	NOUN
aps-38	199	43	framework	framework	NOUN
aps-38	199	44	can	can	AUX
aps-38	199	45	be	be	AUX
aps-38	199	46	used	use	VERB
aps-38	199	47	as	as	ADP
aps-38	199	48	with	with	ADP
aps-38	199	49	the	the	DET
aps-38	199	50	unconstrained	unconstrained	ADJ
aps-38	199	51	model	model	NOUN
aps-38	199	52	.	.	PUNCT
aps-38	200	1	recalling	recall	VERB
aps-38	200	2	the	the	DET
aps-38	200	3	unconstrained	unconstraine	VERB
aps-38	200	4	/	/	SYM
aps-38	200	5	total	total	ADJ
aps-38	200	6	constrained	constrain	VERB
aps-38	200	7	model	model	NOUN
aps-38	200	8	above	above	ADP
aps-38	200	9	(	(	PUNCT
aps-38	200	10	table	table	NOUN
aps-38	200	11	1	1	NUM
aps-38	200	12	)	)	PUNCT
aps-38	200	13	,	,	PUNCT
aps-38	200	14	while	while	SCONJ
aps-38	200	15	the	the	DET
aps-38	200	16	total	total	ADJ
aps-38	200	17	flows	flow	NOUN
aps-38	200	18	in	in	ADP
aps-38	200	19	the	the	DET
aps-38	200	20	estimates	estimate	NOUN
aps-38	200	21	equalled	equal	VERB
aps-38	200	22	the	the	DET
aps-38	200	23	total	total	ADJ
aps-38	200	24	observed	observe	VERB
aps-38	200	25	flows	flow	NOUN
aps-38	200	26	,	,	PUNCT
aps-38	200	27	none	none	NOUN
aps-38	200	28	of	of	ADP
aps-38	200	29	the	the	DET
aps-38	200	30	estimates	estimate	NOUN
aps-38	200	31	sum	sum	VERB
aps-38	200	32	to	to	ADP
aps-38	200	33	the	the	DET
aps-38	200	34	observed	observed	ADJ
aps-38	200	35	in	in	ADP
aps-38	200	36	-	-	PUNCT
aps-38	200	37	migration	migration	NOUN
aps-38	200	38	and	and	CCONJ
aps-38	200	39	out	out	ADJ
aps-38	200	40	-	-	PUNCT
aps-38	200	41	migration	migration	NOUN
aps-38	200	42	totals	total	NOUN
aps-38	200	43	(	(	PUNCT
aps-38	200	44	the	the	DET
aps-38	200	45	margins	margin	NOUN
aps-38	200	46	of	of	ADP
aps-38	200	47	the	the	DET
aps-38	200	48	matrix	matrix	NOUN
aps-38	200	49	)	)	PUNCT
aps-38	200	50	.	.	PUNCT
aps-38	201	1	wilson	wilson	PROPN
aps-38	201	2	’s	’s	PART
aps-38	201	3	real	real	ADJ
aps-38	201	4	contribution	contribution	NOUN
aps-38	201	5	to	to	ADP
aps-38	201	6	the	the	DET
aps-38	201	7	field	field	NOUN
aps-38	201	8	was	be	AUX
aps-38	201	9	in	in	ADP
aps-38	201	10	noticing	notice	VERB
aps-38	201	11	that	that	SCONJ
aps-38	201	12	this	this	DET
aps-38	201	13	unconstrained	unconstrained	ADJ
aps-38	201	14	model	model	NOUN
aps-38	201	15	was	be	AUX
aps-38	201	16	sub	sub	ADJ
aps-38	201	17	-	-	ADJ
aps-38	201	18	optimal	optimal	ADJ
aps-38	201	19	as	as	SCONJ
aps-38	201	20	it	it	PRON
aps-38	201	21	did	do	AUX
aps-38	201	22	not	not	PART
aps-38	201	23	make	make	VERB
aps-38	201	24	use	use	NOUN
aps-38	201	25	of	of	ADP
aps-38	201	26	all	all	PRON
aps-38	201	27	of	of	ADP
aps-38	201	28	the	the	DET
aps-38	201	29	available	available	ADJ
aps-38	201	30	information	information	NOUN
aps-38	201	31	in	in	ADP
aps-38	201	32	the	the	DET
aps-38	201	33	system	system	NOUN
aps-38	201	34	being	be	AUX
aps-38	201	35	studied	study	VERB
aps-38	201	36	.	.	PUNCT
aps-38	202	1	where	where	SCONJ
aps-38	202	2	there	there	PRON
aps-38	202	3	is	be	VERB
aps-38	202	4	a	a	DET
aps-38	202	5	full	full	ADJ
aps-38	202	6	flow	flow	NOUN
aps-38	202	7	matrix	matrix	NOUN
aps-38	202	8	to	to	PART
aps-38	202	9	calibrate	calibrate	VERB
aps-38	202	10	parameters	parameter	NOUN
aps-38	202	11	,	,	PUNCT
aps-38	202	12	then	then	ADV
aps-38	202	13	it	it	PRON
aps-38	202	14	is	be	AUX
aps-38	202	15	possible	possible	ADJ
aps-38	202	16	to	to	PART
aps-38	202	17	incorporate	incorporate	VERB
aps-38	202	18	the	the	DET
aps-38	202	19	row	row	NOUN
aps-38	202	20	(	(	PUNCT
aps-38	202	21	origin	origin	NOUN
aps-38	202	22	)	)	PUNCT
aps-38	202	23	totals	total	NOUN
aps-38	202	24	,	,	PUNCT
aps-38	202	25	column	column	NOUN
aps-38	202	26	(	(	PUNCT
aps-38	202	27	destination	destination	NOUN
aps-38	202	28	)	)	PUNCT
aps-38	202	29	totals	total	NOUN
aps-38	202	30	or	or	CCONJ
aps-38	202	31	both	both	PRON
aps-38	202	32	origin	origin	NOUN
aps-38	202	33	and	and	CCONJ
aps-38	202	34	destination	destination	NOUN
aps-38	202	35	totals	total	NOUN
aps-38	202	36	to	to	PART
aps-38	202	37	constrain	constrain	VERB
aps-38	202	38	flow	flow	NOUN
aps-38	202	39	estimates	estimate	NOUN
aps-38	202	40	to	to	ADP
aps-38	202	41	these	these	DET
aps-38	202	42	known	know	VERB
aps-38	202	43	values	value	NOUN
aps-38	202	44	.	.	PUNCT
aps-38	203	1	there	there	PRON
aps-38	203	2	are	be	VERB
aps-38	203	3	various	various	ADJ
aps-38	203	4	reasons	reason	NOUN
aps-38	203	5	for	for	ADP
aps-38	203	6	wanting	want	VERB
aps-38	203	7	to	to	PART
aps-38	203	8	do	do	VERB
aps-38	203	9	this	this	PRON
aps-38	203	10	in	in	ADP
aps-38	203	11	different	different	ADJ
aps-38	203	12	flow	flow	NOUN
aps-38	203	13	modelling	model	VERB
aps-38	203	14	contexts	contexts	NOUN
aps-38	203	15	,	,	PUNCT
aps-38	203	16	for	for	ADP
aps-38	203	17	example	example	NOUN
aps-38	203	18	:	:	PUNCT
aps-38	203	19	a	a	X
aps-38	203	20	)	)	PUNCT
aps-38	203	21	if	if	SCONJ
aps-38	203	22	the	the	DET
aps-38	203	23	researcher	researcher	NOUN
aps-38	203	24	is	be	AUX
aps-38	203	25	interested	interested	ADJ
aps-38	203	26	in	in	ADP
aps-38	203	27	flows	flow	NOUN
aps-38	203	28	of	of	ADP
aps-38	203	29	money	money	NOUN
aps-38	203	30	into	into	ADP
aps-38	203	31	businesses	business	NOUN
aps-38	203	32	or	or	CCONJ
aps-38	203	33	customers	customer	NOUN
aps-38	203	34	into	into	ADP
aps-38	203	35	shops	shop	NOUN
aps-38	203	36	,	,	PUNCT
aps-38	203	37	then	then	ADV
aps-38	203	38	they	they	PRON
aps-38	203	39	might	might	AUX
aps-38	203	40	have	have	VERB
aps-38	203	41	information	information	NOUN
aps-38	203	42	on	on	ADP
aps-38	203	43	the	the	DET
aps-38	203	44	amount	amount	NOUN
aps-38	203	45	of	of	ADP
aps-38	203	46	disposable	disposable	ADJ
aps-38	203	47	income	income	NOUN
aps-38	203	48	and	and	CCONJ
aps-38	203	49	shopping	shopping	NOUN
aps-38	203	50	habits	habit	NOUN
aps-38	203	51	of	of	ADP
aps-38	203	52	the	the	DET
aps-38	203	53	people	people	NOUN
aps-38	203	54	living	live	VERB
aps-38	203	55	in	in	ADP
aps-38	203	56	different	different	ADJ
aps-38	203	57	areas	area	NOUN
aps-38	203	58	,	,	PUNCT
aps-38	203	59	perhaps	perhaps	ADV
aps-38	203	60	from	from	ADP
aps-38	203	61	loyalty	loyalty	NOUN
aps-38	203	62	card	card	NOUN
aps-38	203	63	data	datum	NOUN
aps-38	203	64	.	.	PUNCT
aps-38	204	1	this	this	PRON
aps-38	204	2	is	be	AUX
aps-38	204	3	known	know	VERB
aps-38	204	4	information	information	NOUN
aps-38	204	5	about	about	ADP
aps-38	204	6	origins	origin	NOUN
aps-38	204	7	and	and	CCONJ
aps-38	204	8	so	so	ADV
aps-38	204	9	it	it	PRON
aps-38	204	10	would	would	AUX
aps-38	204	11	be	be	AUX
aps-38	204	12	logical	logical	ADJ
aps-38	204	13	to	to	PART
aps-38	204	14	constrain	constrain	VERB
aps-38	204	15	the	the	DET
aps-38	204	16	estimates	estimate	NOUN
aps-38	204	17	from	from	ADP
aps-38	204	18	a	a	DET
aps-38	204	19	spatial	spatial	ADJ
aps-38	204	20	interaction	interaction	NOUN
aps-38	204	21	model	model	NOUN
aps-38	204	22	to	to	ADP
aps-38	204	23	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	PUNCT
aps-38	204	24	australian	australian	ADJ
aps-38	204	25	population	population	NOUN
aps-38	204	26	studies	study	NOUN
aps-38	204	27	2	2	NUM
aps-38	204	28	(	(	PUNCT
aps-38	204	29	2	2	NUM
aps-38	204	30	)	)	PUNCT
aps-38	204	31	2018	2018	NUM
aps-38	205	1	dennett	dennett	PROPN
aps-38	205	2	49	49	NUM
aps-38	205	3	this	this	DET
aps-38	205	4	known	know	VERB
aps-38	205	5	information	information	NOUN
aps-38	205	6	.	.	PUNCT
aps-38	206	1	other	other	ADJ
aps-38	206	2	information	information	NOUN
aps-38	206	3	about	about	ADP
aps-38	206	4	the	the	DET
aps-38	206	5	attractiveness	attractiveness	NOUN
aps-38	206	6	of	of	ADP
aps-38	206	7	shops	shop	NOUN
aps-38	206	8	and	and	CCONJ
aps-38	206	9	businesses	business	NOUN
aps-38	206	10	(	(	PUNCT
aps-38	206	11	store	store	NOUN
aps-38	206	12	size	size	NOUN
aps-38	206	13	,	,	PUNCT
aps-38	206	14	variety	variety	NOUN
aps-38	206	15	/	/	SYM
aps-38	206	16	specialism	specialism	NOUN
aps-38	206	17	of	of	ADP
aps-38	206	18	goods	good	NOUN
aps-38	206	19	etc	etc	X
aps-38	206	20	.	.	X
aps-38	206	21	)	)	PUNCT
aps-38	206	22	can	can	AUX
aps-38	206	23	then	then	ADV
aps-38	206	24	be	be	AUX
aps-38	206	25	used	use	VERB
aps-38	206	26	to	to	PART
aps-38	206	27	estimate	estimate	VERB
aps-38	206	28	how	how	SCONJ
aps-38	206	29	much	much	ADJ
aps-38	206	30	money	money	NOUN
aps-38	206	31	/	/	SYM
aps-38	206	32	customers	customer	NOUN
aps-38	206	33	a	a	DET
aps-38	206	34	new	new	ADJ
aps-38	206	35	store	store	NOUN
aps-38	206	36	opening	opening	NOUN
aps-38	206	37	in	in	ADP
aps-38	206	38	the	the	DET
aps-38	206	39	area	area	NOUN
aps-38	206	40	might	might	AUX
aps-38	206	41	make	make	VERB
aps-38	206	42	/	/	SYM
aps-38	206	43	attract	attract	VERB
aps-38	206	44	or	or	CCONJ
aps-38	206	45	,	,	PUNCT
aps-38	206	46	if	if	SCONJ
aps-38	206	47	a	a	DET
aps-38	206	48	new	new	ADJ
aps-38	206	49	out	out	NOUN
aps-38	206	50	-	-	PUNCT
aps-38	206	51	of	of	ADP
aps-38	206	52	-	-	PUNCT
aps-38	206	53	town	town	NOUN
aps-38	206	54	shopping	shopping	NOUN
aps-38	206	55	centre	centre	NOUN
aps-38	206	56	opens	open	VERB
aps-38	206	57	,	,	PUNCT
aps-38	206	58	how	how	SCONJ
aps-38	206	59	much	much	ADJ
aps-38	206	60	it	it	PRON
aps-38	206	61	might	might	AUX
aps-38	206	62	affect	affect	VERB
aps-38	206	63	the	the	DET
aps-38	206	64	business	business	NOUN
aps-38	206	65	of	of	ADP
aps-38	206	66	shops	shop	NOUN
aps-38	206	67	in	in	ADP
aps-38	206	68	the	the	DET
aps-38	206	69	town	town	NOUN
aps-38	206	70	centre	centre	NOUN
aps-38	206	71	.	.	PUNCT
aps-38	207	1	this	this	PRON
aps-38	207	2	is	be	AUX
aps-38	207	3	what	what	PRON
aps-38	207	4	is	be	AUX
aps-38	207	5	known	know	VERB
aps-38	207	6	in	in	ADP
aps-38	207	7	the	the	DET
aps-38	207	8	literature	literature	NOUN
aps-38	207	9	as	as	ADP
aps-38	207	10	the	the	DET
aps-38	207	11	‘	'	PUNCT
aps-38	207	12	retail	retail	ADJ
aps-38	207	13	model	model	NOUN
aps-38	207	14	’	'	PUNCT
aps-38	207	15	and	and	CCONJ
aps-38	207	16	is	be	AUX
aps-38	207	17	perhaps	perhaps	ADV
aps-38	207	18	the	the	DET
aps-38	207	19	most	most	ADV
aps-38	207	20	common	common	ADJ
aps-38	207	21	example	example	NOUN
aps-38	207	22	of	of	ADP
aps-38	207	23	a	a	DET
aps-38	207	24	production	production	NOUN
aps-38	207	25	(	(	PUNCT
aps-38	207	26	origin	origin	NOUN
aps-38	207	27	)	)	PUNCT
aps-38	207	28	constrained	constrain	VERB
aps-38	207	29	spatial	spatial	ADJ
aps-38	207	30	interaction	interaction	NOUN
aps-38	207	31	model	model	NOUN
aps-38	207	32	.	.	PUNCT
aps-38	208	1	b	b	X
aps-38	208	2	)	)	PUNCT
aps-38	208	3	other	other	ADJ
aps-38	208	4	researchers	researcher	NOUN
aps-38	208	5	might	might	AUX
aps-38	208	6	be	be	AUX
aps-38	208	7	interested	interested	ADJ
aps-38	208	8	in	in	ADP
aps-38	208	9	understanding	understand	VERB
aps-38	208	10	the	the	DET
aps-38	208	11	impact	impact	NOUN
aps-38	208	12	of	of	ADP
aps-38	208	13	a	a	DET
aps-38	208	14	large	large	ADJ
aps-38	208	15	new	new	ADJ
aps-38	208	16	employer	employer	NOUN
aps-38	208	17	in	in	ADP
aps-38	208	18	an	an	DET
aps-38	208	19	area	area	NOUN
aps-38	208	20	on	on	ADP
aps-38	208	21	the	the	DET
aps-38	208	22	flows	flow	NOUN
aps-38	208	23	of	of	ADP
aps-38	208	24	traffic	traffic	NOUN
aps-38	208	25	in	in	ADP
aps-38	208	26	the	the	DET
aps-38	208	27	vicinity	vicinity	NOUN
aps-38	208	28	or	or	CCONJ
aps-38	208	29	on	on	ADP
aps-38	208	30	the	the	DET
aps-38	208	31	demand	demand	NOUN
aps-38	208	32	for	for	ADP
aps-38	208	33	new	new	ADJ
aps-38	208	34	worker	worker	NOUN
aps-38	208	35	accommodation	accommodation	NOUN
aps-38	208	36	nearby	nearby	ADV
aps-38	208	37	.	.	PUNCT
aps-38	209	1	a	a	DET
aps-38	209	2	good	good	ADJ
aps-38	209	3	example	example	NOUN
aps-38	209	4	of	of	ADP
aps-38	209	5	where	where	SCONJ
aps-38	209	6	this	this	PRON
aps-38	209	7	might	might	AUX
aps-38	209	8	be	be	AUX
aps-38	209	9	the	the	DET
aps-38	209	10	case	case	NOUN
aps-38	209	11	is	be	AUX
aps-38	209	12	with	with	ADP
aps-38	209	13	large	large	ADJ
aps-38	209	14	new	new	ADJ
aps-38	209	15	infrastructure	infrastructure	NOUN
aps-38	209	16	developments	development	NOUN
aps-38	209	17	like	like	ADP
aps-38	209	18	airports	airport	NOUN
aps-38	209	19	.	.	PUNCT
aps-38	210	1	for	for	ADP
aps-38	210	2	example	example	NOUN
aps-38	210	3	,	,	PUNCT
aps-38	210	4	before	before	ADP
aps-38	210	5	the	the	DET
aps-38	210	6	go	go	NOUN
aps-38	210	7	-	-	PUNCT
aps-38	210	8	ahead	ahead	NOUN
aps-38	210	9	for	for	ADP
aps-38	210	10	the	the	DET
aps-38	210	11	new	new	ADJ
aps-38	210	12	third	third	ADJ
aps-38	210	13	runway	runway	NOUN
aps-38	210	14	at	at	ADP
aps-38	210	15	heathrow	heathrow	PROPN
aps-38	210	16	airport	airport	NOUN
aps-38	210	17	in	in	ADP
aps-38	210	18	london	london	PROPN
aps-38	210	19	,	,	PUNCT
aps-38	210	20	england	england	PROPN
aps-38	210	21	was	be	AUX
aps-38	210	22	given	give	VERB
aps-38	210	23	,	,	PUNCT
aps-38	210	24	one	one	NUM
aps-38	210	25	option	option	NOUN
aps-38	210	26	being	be	AUX
aps-38	210	27	considered	consider	VERB
aps-38	210	28	was	be	AUX
aps-38	210	29	a	a	DET
aps-38	210	30	new	new	ADJ
aps-38	210	31	runway	runway	NOUN
aps-38	210	32	in	in	ADP
aps-38	210	33	the	the	DET
aps-38	210	34	thames	thame	NOUN
aps-38	210	35	estuary	estuary	NOUN
aps-38	210	36	.	.	PUNCT
aps-38	211	1	if	if	SCONJ
aps-38	211	2	a	a	DET
aps-38	211	3	new	new	ADJ
aps-38	211	4	airport	airport	NOUN
aps-38	211	5	was	be	AUX
aps-38	211	6	built	build	VERB
aps-38	211	7	here	here	ADV
aps-38	211	8	,	,	PUNCT
aps-38	211	9	what	what	PRON
aps-38	211	10	would	would	AUX
aps-38	211	11	the	the	DET
aps-38	211	12	potential	potential	ADJ
aps-38	211	13	impact	impact	NOUN
aps-38	211	14	on	on	ADP
aps-38	211	15	transport	transport	NOUN
aps-38	211	16	flows	flow	NOUN
aps-38	211	17	be	be	AUX
aps-38	211	18	in	in	ADP
aps-38	211	19	the	the	DET
aps-38	211	20	area	area	NOUN
aps-38	211	21	and	and	CCONJ
aps-38	211	22	where	where	SCONJ
aps-38	211	23	might	might	AUX
aps-38	211	24	workers	worker	NOUN
aps-38	211	25	commute	commute	VERB
aps-38	211	26	from	from	ADP
aps-38	211	27	?	?	PUNCT
aps-38	212	1	this	this	DET
aps-38	212	2	sort	sort	NOUN
aps-38	212	3	of	of	ADP
aps-38	212	4	scenario	scenario	NOUN
aps-38	212	5	could	could	AUX
aps-38	212	6	be	be	AUX
aps-38	212	7	tested	test	VERB
aps-38	212	8	with	with	ADP
aps-38	212	9	an	an	DET
aps-38	212	10	attraction	attraction	NOUN
aps-38	212	11	(	(	PUNCT
aps-38	212	12	destination	destination	NOUN
aps-38	212	13	)	)	PUNCT
aps-38	212	14	constrained	constrain	VERB
aps-38	212	15	spatial	spatial	ADJ
aps-38	212	16	interaction	interaction	NOUN
aps-38	212	17	model	model	NOUN
aps-38	212	18	where	where	SCONJ
aps-38	212	19	the	the	DET
aps-38	212	20	number	number	NOUN
aps-38	212	21	of	of	ADP
aps-38	212	22	new	new	ADJ
aps-38	212	23	jobs	job	NOUN
aps-38	212	24	in	in	ADP
aps-38	212	25	a	a	DET
aps-38	212	26	destination	destination	NOUN
aps-38	212	27	is	be	AUX
aps-38	212	28	known	know	VERB
aps-38	212	29	(	(	PUNCT
aps-38	212	30	as	as	ADV
aps-38	212	31	well	well	ADV
aps-38	212	32	as	as	ADP
aps-38	212	33	jobs	job	NOUN
aps-38	212	34	in	in	ADP
aps-38	212	35	the	the	DET
aps-38	212	36	surrounding	surround	VERB
aps-38	212	37	area	area	NOUN
aps-38	212	38	)	)	PUNCT
aps-38	212	39	.	.	PUNCT
aps-38	213	1	the	the	DET
aps-38	213	2	model	model	NOUN
aps-38	213	3	could	could	AUX
aps-38	213	4	also	also	ADV
aps-38	213	5	be	be	AUX
aps-38	213	6	used	use	VERB
aps-38	213	7	to	to	PART
aps-38	213	8	estimate	estimate	VERB
aps-38	213	9	where	where	SCONJ
aps-38	213	10	the	the	DET
aps-38	213	11	workers	worker	NOUN
aps-38	213	12	will	will	AUX
aps-38	213	13	be	be	AUX
aps-38	213	14	drawn	draw	VERB
aps-38	213	15	from	from	ADP
aps-38	213	16	and	and	CCONJ
aps-38	213	17	their	their	PRON
aps-38	213	18	likely	likely	ADJ
aps-38	213	19	travel	travel	NOUN
aps-38	213	20	-	-	PUNCT
aps-38	213	21	to	to	ADP
aps-38	213	22	-	-	PUNCT
aps-38	213	23	work	work	NOUN
aps-38	213	24	patterns	pattern	NOUN
aps-38	213	25	.	.	PUNCT
aps-38	214	1	these	these	DET
aps-38	214	2	models	model	NOUN
aps-38	214	3	are	be	AUX
aps-38	214	4	known	know	VERB
aps-38	214	5	as	as	ADP
aps-38	214	6	land	land	NOUN
aps-38	214	7	use	use	NOUN
aps-38	214	8	transport	transport	NOUN
aps-38	214	9	interaction	interaction	NOUN
aps-38	214	10	(	(	PUNCT
aps-38	214	11	luti	luti	PROPN
aps-38	214	12	)	)	PUNCT
aps-38	214	13	models	model	NOUN
aps-38	214	14	and	and	CCONJ
aps-38	214	15	have	have	VERB
aps-38	214	16	a	a	DET
aps-38	214	17	well	well	ADV
aps-38	214	18	-	-	PUNCT
aps-38	214	19	established	establish	VERB
aps-38	214	20	history	history	NOUN
aps-38	214	21	in	in	ADP
aps-38	214	22	urban	urban	ADJ
aps-38	214	23	planning	planning	NOUN
aps-38	214	24	.	.	PUNCT
aps-38	215	1	c	c	X
aps-38	215	2	)	)	PUNCT
aps-38	215	3	other	other	ADJ
aps-38	215	4	researchers	researcher	NOUN
aps-38	215	5	might	might	AUX
aps-38	215	6	be	be	AUX
aps-38	215	7	interested	interested	ADJ
aps-38	215	8	in	in	ADP
aps-38	215	9	understanding	understand	VERB
aps-38	215	10	the	the	DET
aps-38	215	11	changing	change	VERB
aps-38	215	12	patterns	pattern	NOUN
aps-38	215	13	of	of	ADP
aps-38	215	14	commuting	commuting	NOUN
aps-38	215	15	or	or	CCONJ
aps-38	215	16	migration	migration	NOUN
aps-38	215	17	over	over	ADP
aps-38	215	18	time	time	NOUN
aps-38	215	19	.	.	PUNCT
aps-38	216	1	data	datum	NOUN
aps-38	216	2	from	from	ADP
aps-38	216	3	a	a	DET
aps-38	216	4	census	census	NOUN
aps-38	216	5	provides	provide	VERB
aps-38	216	6	an	an	DET
aps-38	216	7	accurate	accurate	ADJ
aps-38	216	8	snap	snap	NOUN
aps-38	216	9	-	-	PUNCT
aps-38	216	10	shot	shot	NOUN
aps-38	216	11	of	of	ADP
aps-38	216	12	migrating	migrating	NOUN
aps-38	216	13	and	and	CCONJ
aps-38	216	14	commuting	commute	VERB
aps-38	216	15	patterns	pattern	NOUN
aps-38	216	16	,	,	PUNCT
aps-38	216	17	but	but	CCONJ
aps-38	216	18	only	only	ADV
aps-38	216	19	periodically	periodically	ADV
aps-38	216	20	.	.	PUNCT
aps-38	217	1	in	in	ADP
aps-38	217	2	these	these	DET
aps-38	217	3	full	full	ADJ
aps-38	217	4	data	datum	NOUN
aps-38	217	5	matrices	matrix	NOUN
aps-38	217	6	,	,	PUNCT
aps-38	217	7	information	information	NOUN
aps-38	217	8	about	about	ADP
aps-38	217	9	both	both	CCONJ
aps-38	217	10	the	the	DET
aps-38	217	11	numbers	number	NOUN
aps-38	217	12	of	of	ADP
aps-38	217	13	commuters	commuter	NOUN
aps-38	217	14	/	/	SYM
aps-38	217	15	migrants	migrant	NOUN
aps-38	217	16	leaving	leave	VERB
aps-38	217	17	origins	origin	NOUN
aps-38	217	18	and	and	CCONJ
aps-38	217	19	arriving	arrive	VERB
aps-38	217	20	at	at	ADP
aps-38	217	21	destinations	destination	NOUN
aps-38	217	22	and	and	CCONJ
aps-38	217	23	the	the	DET
aps-38	217	24	interactions	interaction	NOUN
aps-38	217	25	between	between	ADP
aps-38	217	26	them	they	PRON
aps-38	217	27	is	be	AUX
aps-38	217	28	known	know	VERB
aps-38	217	29	.	.	PUNCT
aps-38	218	1	constraining	constrain	VERB
aps-38	218	2	model	model	NOUN
aps-38	218	3	estimates	estimate	NOUN
aps-38	218	4	to	to	ADP
aps-38	218	5	this	this	DET
aps-38	218	6	known	know	VERB
aps-38	218	7	information	information	NOUN
aps-38	218	8	at	at	ADP
aps-38	218	9	origin	origin	NOUN
aps-38	218	10	and	and	CCONJ
aps-38	218	11	destination	destination	NOUN
aps-38	218	12	allows	allow	VERB
aps-38	218	13	various	various	ADJ
aps-38	218	14	things	thing	NOUN
aps-38	218	15	to	to	PART
aps-38	218	16	be	be	AUX
aps-38	218	17	examined	examine	VERB
aps-38	218	18	,	,	PUNCT
aps-38	218	19	including	include	VERB
aps-38	218	20	:	:	PUNCT
aps-38	218	21	i.	i.	NOUN
aps-38	218	22	the	the	DET
aps-38	218	23	ways	way	NOUN
aps-38	218	24	that	that	PRON
aps-38	218	25	the	the	DET
aps-38	218	26	patterns	pattern	NOUN
aps-38	218	27	of	of	ADP
aps-38	218	28	commuting	commuting	NOUN
aps-38	218	29	/	/	SYM
aps-38	218	30	migration	migration	NOUN
aps-38	218	31	differ	differ	VERB
aps-38	218	32	from	from	ADP
aps-38	218	33	the	the	DET
aps-38	218	34	model	model	NOUN
aps-38	218	35	predictions	prediction	NOUN
aps-38	218	36	–	–	PUNCT
aps-38	218	37	where	where	SCONJ
aps-38	218	38	might	might	AUX
aps-38	218	39	there	there	PRON
aps-38	218	40	be	be	AUX
aps-38	218	41	more	more	ADV
aps-38	218	42	migrant	migrant	ADJ
aps-38	218	43	/	/	SYM
aps-38	218	44	commuter	commuter	NOUN
aps-38	218	45	flows	flow	NOUN
aps-38	218	46	than	than	SCONJ
aps-38	218	47	expected	expect	VERB
aps-38	218	48	?	?	PUNCT
aps-38	219	1	ii	ii	X
aps-38	219	2	.	.	PUNCT
aps-38	220	1	how	how	SCONJ
aps-38	220	2	the	the	DET
aps-38	220	3	model	model	NOUN
aps-38	220	4	parameters	parameter	NOUN
aps-38	220	5	vary	vary	VERB
aps-38	220	6	over	over	ADP
aps-38	220	7	time	time	NOUN
aps-38	220	8	–	–	PUNCT
aps-38	220	9	for	for	ADP
aps-38	220	10	example	example	NOUN
aps-38	220	11	,	,	PUNCT
aps-38	220	12	how	how	SCONJ
aps-38	220	13	does	do	AUX
aps-38	220	14	distance	distance	NOUN
aps-38	220	15	/	/	SYM
aps-38	220	16	cost	cost	NOUN
aps-38	220	17	of	of	ADP
aps-38	220	18	travel	travel	NOUN
aps-38	220	19	affect	affect	VERB
aps-38	220	20	flows	flow	NOUN
aps-38	220	21	over	over	ADP
aps-38	220	22	time	time	NOUN
aps-38	220	23	?	?	PUNCT
aps-38	221	1	are	be	AUX
aps-38	221	2	people	people	NOUN
aps-38	221	3	prepared	prepared	ADJ
aps-38	221	4	to	to	PART
aps-38	221	5	travel	travel	VERB
aps-38	221	6	further	far	ADV
aps-38	221	7	or	or	CCONJ
aps-38	221	8	less	less	ADJ
aps-38	221	9	distance	distance	NOUN
aps-38	221	10	than	than	ADP
aps-38	221	11	before	before	ADV
aps-38	221	12	?	?	PUNCT
aps-38	222	1	2.2.2	2.2.2	X
aps-38	222	2	.	.	PUNCT
aps-38	223	1	the	the	DET
aps-38	223	2	production	production	NOUN
aps-38	223	3	constrained	constrain	VERB
aps-38	223	4	model	model	NOUN
aps-38	223	5	recall	recall	VERB
aps-38	223	6	the	the	DET
aps-38	223	7	unconstrained	unconstrained	ADJ
aps-38	223	8	model	model	NOUN
aps-38	223	9	from	from	ADP
aps-38	223	10	equation	equation	NOUN
aps-38	223	11	2	2	NUM
aps-38	223	12	.	.	PUNCT
aps-38	224	1	a	a	DET
aps-38	224	2	production	production	NOUN
aps-38	224	3	constrained	constrain	VERB
aps-38	224	4	model	model	NOUN
aps-38	224	5	constrains	constrain	VERB
aps-38	224	6	estimates	estimate	NOUN
aps-38	224	7	to	to	ADP
aps-38	224	8	known	know	VERB
aps-38	224	9	information	information	NOUN
aps-38	224	10	about	about	ADP
aps-38	224	11	the	the	DET
aps-38	224	12	origins	origin	NOUN
aps-38	224	13	and	and	CCONJ
aps-38	224	14	so	so	ADV
aps-38	224	15	replaces	replace	VERB
aps-38	224	16	the	the	DET
aps-38	224	17	terms	term	NOUN
aps-38	224	18	𝑘𝑘	𝑘𝑘	X
aps-38	224	19	and	and	CCONJ
aps-38	224	20	𝑉𝑉𝑖𝑖	𝑉𝑉𝑖𝑖	PROPN
aps-38	224	21	𝜇𝜇	𝜇𝜇	VERB
aps-38	224	22	to	to	PART
aps-38	224	23	produce	produce	VERB
aps-38	224	24	the	the	DET
aps-38	224	25	following	following	ADJ
aps-38	224	26	model	model	NOUN
aps-38	224	27	:	:	PUNCT
aps-38	225	1	𝑇𝑇𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	225	2	=	=	PUNCT
aps-38	225	3	𝐴𝐴𝑖𝑖𝑂𝑂𝑖𝑖𝑊𝑊𝑖𝑖	𝐴𝐴𝑖𝑖𝑂𝑂𝑖𝑖𝑊𝑊𝑖𝑖	X
aps-38	225	4	𝛼𝛼𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	𝛼𝛼𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	X
aps-38	225	5	(	(	PUNCT
aps-38	225	6	7	7	NUM
aps-38	225	7	)	)	PUNCT
aps-38	225	8	where	where	SCONJ
aps-38	225	9	:	:	PUNCT
aps-38	225	10	𝑂𝑂𝑖𝑖	𝑂𝑂𝑖𝑖	PUNCT
aps-38	225	11	=	=	PUNCT
aps-38	225	12	∑	∑	PUNCT
aps-38	225	13	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	PROPN
aps-38	225	14	(	(	PUNCT
aps-38	225	15	8)	8)	NUM
aps-38	225	16	and	and	CCONJ
aps-38	225	17	:	:	PUNCT
aps-38	225	18	𝐴𝐴𝑖𝑖	𝐴𝐴𝑖𝑖	PROPN
aps-38	225	19	=	=	SYM
aps-38	225	20	1	1	X
aps-38	225	21	∑	∑	PUNCT
aps-38	225	22	𝑊𝑊𝑗𝑗	𝑊𝑊𝑗𝑗	PROPN
aps-38	225	23	𝛼𝛼	𝛼𝛼	ADP
aps-38	225	24	𝑗𝑗	𝑗𝑗	ADP
aps-38	225	25	𝑑𝑑𝑖𝑖𝑗𝑗	𝑑𝑑𝑖𝑖𝑗𝑗	PROPN
aps-38	225	26	−𝛽𝛽	−𝛽𝛽	PROPN
aps-38	225	27	(	(	PUNCT
aps-38	225	28	9	9	NUM
aps-38	225	29	)	)	PUNCT
aps-38	225	30	50	50	NUM
aps-38	225	31	dennett	dennett	PROPN
aps-38	225	32	australian	australian	ADJ
aps-38	225	33	population	population	NOUN
aps-38	225	34	studies	study	NOUN
aps-38	225	35	2	2	NUM
aps-38	225	36	(	(	PUNCT
aps-38	225	37	2	2	NUM
aps-38	225	38	)	)	PUNCT
aps-38	225	39	2018	2018	NUM
aps-38	225	40	in	in	ADP
aps-38	225	41	the	the	DET
aps-38	225	42	production	production	NOUN
aps-38	225	43	constrained	constrain	VERB
aps-38	225	44	model	model	NOUN
aps-38	225	45	,	,	PUNCT
aps-38	225	46	𝑂𝑂𝑖𝑖	𝑂𝑂𝑖𝑖	PUNCT
aps-38	225	47	does	do	AUX
aps-38	225	48	not	not	PART
aps-38	225	49	have	have	VERB
aps-38	225	50	a	a	DET
aps-38	225	51	parameter	parameter	NOUN
aps-38	225	52	as	as	SCONJ
aps-38	225	53	it	it	PRON
aps-38	225	54	is	be	AUX
aps-38	225	55	a	a	DET
aps-38	225	56	known	know	VERB
aps-38	225	57	constraint	constraint	NOUN
aps-38	225	58	.	.	PUNCT
aps-38	226	1	𝐴𝐴𝑖𝑖	𝐴𝐴𝑖𝑖	PROPN
aps-38	226	2	is	be	AUX
aps-38	226	3	known	know	VERB
aps-38	226	4	as	as	ADP
aps-38	226	5	a	a	DET
aps-38	226	6	balancing	balancing	NOUN
aps-38	226	7	factor	factor	NOUN
aps-38	226	8	and	and	CCONJ
aps-38	226	9	is	be	AUX
aps-38	226	10	a	a	DET
aps-38	226	11	vector	vector	NOUN
aps-38	226	12	of	of	ADP
aps-38	226	13	values	value	NOUN
aps-38	226	14	which	which	PRON
aps-38	226	15	relate	relate	VERB
aps-38	226	16	to	to	ADP
aps-38	226	17	each	each	DET
aps-38	226	18	origin	origin	NOUN
aps-38	226	19	𝑖𝑖	𝑖𝑖	INTJ
aps-38	226	20	which	which	PRON
aps-38	226	21	do	do	VERB
aps-38	226	22	the	the	DET
aps-38	226	23	equivalent	equivalent	ADJ
aps-38	226	24	job	job	NOUN
aps-38	226	25	as	as	ADP
aps-38	226	26	𝑘𝑘	𝑘𝑘	PROPN
aps-38	226	27	in	in	ADP
aps-38	226	28	the	the	DET
aps-38	226	29	unconstrained	unconstraine	VERB
aps-38	226	30	/	/	SYM
aps-38	226	31	total	total	ADJ
aps-38	226	32	constrained	constrain	VERB
aps-38	226	33	model	model	NOUN
aps-38	226	34	but	but	CCONJ
aps-38	226	35	ensure	ensure	VERB
aps-38	226	36	that	that	SCONJ
aps-38	226	37	flow	flow	NOUN
aps-38	226	38	estimates	estimate	NOUN
aps-38	226	39	from	from	ADP
aps-38	226	40	each	each	DET
aps-38	226	41	origin	origin	NOUN
aps-38	226	42	sum	sum	NOUN
aps-38	226	43	to	to	ADP
aps-38	226	44	the	the	DET
aps-38	226	45	know	know	NOUN
aps-38	226	46	totals	total	NOUN
aps-38	227	1	𝑂𝑂𝑖𝑖	𝑂𝑂𝑖𝑖	PROPN
aps-38	227	2	rather	rather	ADV
aps-38	227	3	than	than	ADP
aps-38	227	4	just	just	ADV
aps-38	227	5	the	the	DET
aps-38	227	6	overall	overall	ADJ
aps-38	227	7	total	total	NOUN
aps-38	227	8	.	.	PUNCT
aps-38	228	1	now	now	ADV
aps-38	228	2	at	at	ADP
aps-38	228	3	this	this	DET
aps-38	228	4	point	point	NOUN
aps-38	228	5	the	the	DET
aps-38	228	6	𝑂𝑂𝑖𝑖	𝑂𝑂𝑖𝑖	PROPN
aps-38	228	7	and	and	CCONJ
aps-38	228	8	𝐴𝐴𝑖𝑖	𝐴𝐴𝑖𝑖	PROPN
aps-38	228	9	values	value	NOUN
aps-38	228	10	could	could	AUX
aps-38	228	11	be	be	AUX
aps-38	228	12	calculated	calculate	VERB
aps-38	228	13	by	by	ADP
aps-38	228	14	hand	hand	NOUN
aps-38	228	15	for	for	ADP
aps-38	228	16	the	the	DET
aps-38	228	17	sample	sample	NOUN
aps-38	228	18	system	system	NOUN
aps-38	228	19	and	and	CCONJ
aps-38	228	20	the	the	DET
aps-38	228	21	parameter	parameter	NOUN
aps-38	228	22	values	value	NOUN
aps-38	228	23	for	for	ADP
aps-38	228	24	the	the	DET
aps-38	228	25	rest	rest	NOUN
aps-38	228	26	of	of	ADP
aps-38	228	27	the	the	DET
aps-38	228	28	model	model	NOUN
aps-38	228	29	could	could	AUX
aps-38	228	30	be	be	AUX
aps-38	228	31	guessed	guess	VERB
aps-38	228	32	.	.	PUNCT
aps-38	229	1	however	however	ADV
aps-38	229	2	,	,	PUNCT
aps-38	229	3	the	the	DET
aps-38	229	4	poisson	poisson	NOUN
aps-38	229	5	regression	regression	NOUN
aps-38	229	6	framework	framework	NOUN
aps-38	229	7	allows	allow	VERB
aps-38	229	8	this	this	PRON
aps-38	229	9	to	to	PART
aps-38	229	10	be	be	AUX
aps-38	229	11	avoided	avoid	VERB
aps-38	229	12	.	.	PUNCT
aps-38	230	1	the	the	DET
aps-38	230	2	production	production	NOUN
aps-38	230	3	constrained	constrain	VERB
aps-38	230	4	model	model	NOUN
aps-38	230	5	can	can	AUX
aps-38	230	6	be	be	AUX
aps-38	230	7	re	re	VERB
aps-38	230	8	-	-	VERB
aps-38	230	9	specified	specify	VERB
aps-38	230	10	as	as	ADP
aps-38	230	11	a	a	DET
aps-38	230	12	poisson	poisson	NOUN
aps-38	230	13	regression	regression	NOUN
aps-38	230	14	model	model	NOUN
aps-38	230	15	in	in	ADP
aps-38	230	16	exactly	exactly	ADV
aps-38	230	17	the	the	DET
aps-38	230	18	same	same	ADJ
aps-38	230	19	way	way	NOUN
aps-38	230	20	as	as	ADP
aps-38	230	21	before	before	ADV
aps-38	230	22	.	.	PUNCT
aps-38	231	1	taking	take	VERB
aps-38	231	2	the	the	DET
aps-38	231	3	logs	log	NOUN
aps-38	231	4	of	of	ADP
aps-38	231	5	the	the	DET
aps-38	231	6	right	right	ADJ
aps-38	231	7	-	-	PUNCT
aps-38	231	8	hand	hand	NOUN
aps-38	231	9	side	side	NOUN
aps-38	231	10	of	of	ADP
aps-38	231	11	the	the	DET
aps-38	231	12	equation	equation	NOUN
aps-38	231	13	,	,	PUNCT
aps-38	231	14	and	and	CCONJ
aps-38	231	15	assuming	assume	VERB
aps-38	231	16	that	that	SCONJ
aps-38	231	17	these	these	PRON
aps-38	231	18	are	be	AUX
aps-38	231	19	logarithmically	logarithmically	ADV
aps-38	231	20	linked	link	VERB
aps-38	231	21	to	to	ADP
aps-38	231	22	the	the	DET
aps-38	231	23	poisson	poisson	NOUN
aps-38	231	24	distributed	distribute	VERB
aps-38	231	25	mean	mean	NOUN
aps-38	231	26	(	(	PUNCT
aps-38	231	27	𝜆𝜆𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖	NOUN
aps-38	231	28	)	)	PUNCT
aps-38	231	29	of	of	ADP
aps-38	231	30	the	the	DET
aps-38	231	31	𝑇𝑇𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	231	32	variable	variable	NOUN
aps-38	231	33	,	,	PUNCT
aps-38	231	34	means	mean	VERB
aps-38	231	35	that	that	SCONJ
aps-38	231	36	equation	equation	NOUN
aps-38	231	37	7	7	NUM
aps-38	231	38	becomes	become	VERB
aps-38	231	39	:	:	PUNCT
aps-38	231	40	𝜆𝜆𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖	NOUN
aps-38	231	41	=	=	PUNCT
aps-38	231	42	𝑒𝑒𝑒𝑒𝑒𝑒(𝜇𝜇𝑖𝑖	𝑒𝑒𝑒𝑒𝑒𝑒(𝜇𝜇𝑖𝑖	NOUN
aps-38	231	43	+	+	CCONJ
aps-38	231	44	𝛼𝛼ln𝑊𝑊𝑖𝑖	𝛼𝛼ln𝑊𝑊𝑖𝑖	NOUN
aps-38	231	45	−	−	ADP
aps-38	231	46	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	NOUN
aps-38	231	47	)	)	PUNCT
aps-38	231	48	(	(	PUNCT
aps-38	231	49	10	10	NUM
aps-38	231	50	)	)	PUNCT
aps-38	231	51	in	in	ADP
aps-38	231	52	equation	equation	NOUN
aps-38	231	53	10	10	NUM
aps-38	231	54	𝜇𝜇𝑖𝑖	𝜇𝜇𝑖𝑖	NOUN
aps-38	231	55	is	be	AUX
aps-38	231	56	the	the	DET
aps-38	231	57	equivalent	equivalent	NOUN
aps-38	231	58	of	of	ADP
aps-38	231	59	the	the	DET
aps-38	231	60	vector	vector	NOUN
aps-38	231	61	of	of	ADP
aps-38	231	62	balancing	balance	VERB
aps-38	231	63	factors	factor	NOUN
aps-38	231	64	𝐴𝐴𝑖𝑖.	𝐴𝐴𝑖𝑖.	ADV
aps-38	231	65	but	but	CCONJ
aps-38	231	66	in	in	ADP
aps-38	231	67	regression	regression	NOUN
aps-38	231	68	/	/	SYM
aps-38	231	69	log	log	NOUN
aps-38	231	70	-	-	PUNCT
aps-38	231	71	linear	linear	NOUN
aps-38	231	72	modelling	modelling	NOUN
aps-38	231	73	terminology	terminology	NOUN
aps-38	231	74	these	these	PRON
aps-38	231	75	can	can	AUX
aps-38	231	76	also	also	ADV
aps-38	231	77	be	be	AUX
aps-38	231	78	described	describe	VERB
aps-38	231	79	as	as	ADP
aps-38	231	80	either	either	CCONJ
aps-38	231	81	‘	'	PUNCT
aps-38	231	82	dummy	dummy	ADJ
aps-38	231	83	variables	variable	NOUN
aps-38	231	84	’	'	PUNCT
aps-38	231	85	or	or	CCONJ
aps-38	231	86	‘	'	PUNCT
aps-38	231	87	fixed	fix	VERB
aps-38	231	88	effects	effect	NOUN
aps-38	231	89	’	'	PUNCT
aps-38	231	90	.	.	PUNCT
aps-38	232	1	in	in	ADP
aps-38	232	2	practical	practical	ADJ
aps-38	232	3	terms	term	NOUN
aps-38	232	4	what	what	PRON
aps-38	232	5	this	this	PRON
aps-38	232	6	means	mean	VERB
aps-38	232	7	is	be	AUX
aps-38	232	8	that	that	SCONJ
aps-38	232	9	in	in	ADP
aps-38	232	10	the	the	DET
aps-38	232	11	regression	regression	NOUN
aps-38	232	12	model	model	NOUN
aps-38	232	13	𝜇𝜇𝑖𝑖	𝜇𝜇𝑖𝑖	NOUN
aps-38	232	14	is	be	AUX
aps-38	232	15	modelled	model	VERB
aps-38	232	16	as	as	ADP
aps-38	232	17	a	a	DET
aps-38	232	18	categorical	categorical	ADJ
aps-38	232	19	predictor3	predictor3	PROPN
aps-38	232	20	,	,	PUNCT
aps-38	232	21	and	and	CCONJ
aps-38	232	22	therefore	therefore	ADV
aps-38	232	23	in	in	ADP
aps-38	232	24	the	the	DET
aps-38	232	25	poisson	poisson	PROPN
aps-38	232	26	regression	regression	NOUN
aps-38	232	27	model	model	NOUN
aps-38	232	28	the	the	DET
aps-38	232	29	numeric	numeric	ADJ
aps-38	232	30	values	value	NOUN
aps-38	232	31	of	of	ADP
aps-38	232	32	𝑂𝑂𝑖𝑖	𝑂𝑂𝑖𝑖	PROPN
aps-38	232	33	are	be	AUX
aps-38	232	34	ignored	ignore	VERB
aps-38	232	35	and	and	CCONJ
aps-38	232	36	replaced	replace	VERB
aps-38	232	37	by	by	ADP
aps-38	232	38	a	a	DET
aps-38	232	39	categorical	categorical	ADJ
aps-38	232	40	identifier	identifier	NOUN
aps-38	232	41	for	for	ADP
aps-38	232	42	the	the	DET
aps-38	232	43	origin	origin	NOUN
aps-38	232	44	.	.	PUNCT
aps-38	233	1	in	in	ADP
aps-38	233	2	terms	term	NOUN
aps-38	233	3	of	of	ADP
aps-38	233	4	the	the	DET
aps-38	233	5	origin	origin	NOUN
aps-38	233	6	/	/	SYM
aps-38	233	7	destination	destination	NOUN
aps-38	233	8	migration	migration	NOUN
aps-38	233	9	matrix	matrix	NOUN
aps-38	233	10	shown	show	VERB
aps-38	233	11	in	in	ADP
aps-38	233	12	table	table	NOUN
aps-38	233	13	3	3	NUM
aps-38	233	14	,	,	PUNCT
aps-38	233	15	rather	rather	ADV
aps-38	233	16	than	than	ADP
aps-38	233	17	the	the	DET
aps-38	233	18	flow	flow	NOUN
aps-38	233	19	of	of	ADP
aps-38	233	20	204,828	204,828	NUM
aps-38	233	21	migrants	migrant	NOUN
aps-38	233	22	leaving	leave	VERB
aps-38	233	23	sydney	sydney	NOUN
aps-38	233	24	(	(	PUNCT
aps-38	233	25	row	row	NOUN
aps-38	233	26	1	1	NUM
aps-38	233	27	)	)	PUNCT
aps-38	233	28	being	be	AUX
aps-38	233	29	used	use	VERB
aps-38	233	30	as	as	ADP
aps-38	233	31	a	a	DET
aps-38	233	32	predictor	predictor	NOUN
aps-38	233	33	,	,	PUNCT
aps-38	233	34	simply	simply	ADV
aps-38	233	35	the	the	DET
aps-38	233	36	code	code	NOUN
aps-38	233	37	‘	'	PUNCT
aps-38	233	38	1gsyd	1gsyd	NUM
aps-38	233	39	’	'	PUNCT
aps-38	233	40	is	be	AUX
aps-38	233	41	used	use	VERB
aps-38	233	42	as	as	ADP
aps-38	233	43	a	a	DET
aps-38	233	44	dummy	dummy	ADJ
aps-38	233	45	variable	variable	NOUN
aps-38	233	46	.	.	PUNCT
aps-38	234	1	in	in	ADP
aps-38	234	2	the	the	DET
aps-38	234	3	accompanying	accompanying	ADJ
aps-38	234	4	practical	practical	ADJ
aps-38	234	5	guide	guide	NOUN
aps-38	234	6	the	the	DET
aps-38	234	7	code	code	NOUN
aps-38	234	8	for	for	ADP
aps-38	234	9	running	run	VERB
aps-38	234	10	this	this	DET
aps-38	234	11	model	model	NOUN
aps-38	234	12	using	use	VERB
aps-38	234	13	the	the	DET
aps-38	234	14	glm	glm	NOUN
aps-38	234	15	(	(	PUNCT
aps-38	234	16	)	)	PUNCT
aps-38	234	17	function	function	NOUN
aps-38	234	18	in	in	ADP
aps-38	234	19	r	r	NOUN
aps-38	234	20	is	be	AUX
aps-38	234	21	provided	provide	VERB
aps-38	234	22	.	.	PUNCT
aps-38	235	1	running	run	VERB
aps-38	235	2	the	the	DET
aps-38	235	3	model	model	NOUN
aps-38	235	4	will	will	AUX
aps-38	235	5	produce	produce	VERB
aps-38	235	6	the	the	DET
aps-38	235	7	following	follow	VERB
aps-38	235	8	output	output	NOUN
aps-38	235	9	(	(	PUNCT
aps-38	235	10	box	box	NOUN
aps-38	235	11	2	2	NUM
aps-38	235	12	)	)	PUNCT
aps-38	235	13	.	.	PUNCT
aps-38	236	1	there	there	PRON
aps-38	236	2	are	be	VERB
aps-38	236	3	elements	element	NOUN
aps-38	236	4	of	of	ADP
aps-38	236	5	the	the	DET
aps-38	236	6	model	model	NOUN
aps-38	236	7	output	output	NOUN
aps-38	236	8	that	that	PRON
aps-38	236	9	should	should	AUX
aps-38	236	10	be	be	AUX
aps-38	236	11	familiar	familiar	ADJ
aps-38	236	12	from	from	ADP
aps-38	236	13	the	the	DET
aps-38	236	14	unconstrained	unconstrained	ADJ
aps-38	236	15	model	model	NOUN
aps-38	236	16	:	:	PUNCT
aps-38	236	17	•	•	ADP
aps-38	236	18	the	the	DET
aps-38	236	19	α	α	NOUN
aps-38	236	20	parameter	parameter	NOUN
aps-38	236	21	related	relate	VERB
aps-38	236	22	to	to	ADP
aps-38	236	23	the	the	DET
aps-38	236	24	destination	destination	NOUN
aps-38	236	25	attractiveness	attractiveness	NOUN
aps-38	236	26	(	(	PUNCT
aps-38	236	27	in	in	ADP
aps-38	236	28	this	this	DET
aps-38	236	29	case	case	NOUN
aps-38	236	30	,	,	PUNCT
aps-38	236	31	median	median	ADJ
aps-38	236	32	weekly	weekly	ADJ
aps-38	236	33	income	income	NOUN
aps-38	236	34	):	):	PUNCT
aps-38	236	35	-0.27	-0.27	X
aps-38	236	36	is	be	AUX
aps-38	236	37	not	not	PART
aps-38	236	38	much	much	ADV
aps-38	236	39	different	different	ADJ
aps-38	236	40	from	from	ADP
aps-38	236	41	the	the	DET
aps-38	236	42	unconstrained	unconstrained	ADJ
aps-38	236	43	model	model	NOUN
aps-38	236	44	.	.	PUNCT
aps-38	237	1	the	the	DET
aps-38	237	2	z	z	NOUN
aps-38	237	3	-	-	PUNCT
aps-38	237	4	score	score	NOUN
aps-38	237	5	indicates	indicate	VERB
aps-38	237	6	that	that	SCONJ
aps-38	237	7	this	this	PRON
aps-38	237	8	is	be	AUX
aps-38	237	9	not	not	PART
aps-38	237	10	a	a	DET
aps-38	237	11	very	very	ADV
aps-38	237	12	important	important	ADJ
aps-38	237	13	variable	variable	NOUN
aps-38	237	14	in	in	ADP
aps-38	237	15	explaining	explain	VERB
aps-38	237	16	variation	variation	NOUN
aps-38	237	17	in	in	ADP
aps-38	237	18	migration	migration	NOUN
aps-38	237	19	behaviours	behaviour	NOUN
aps-38	237	20	in	in	ADP
aps-38	237	21	australia	australia	PROPN
aps-38	237	22	.	.	PUNCT
aps-38	238	1	•	•	NUM
aps-38	238	2	the	the	DET
aps-38	238	3	β	β	PROPN
aps-38	238	4	distance	distance	NOUN
aps-38	238	5	decay	decay	NOUN
aps-38	238	6	parameter	parameter	NOUN
aps-38	238	7	:	:	PUNCT
aps-38	238	8	-1.23	-1.23	PRON
aps-38	238	9	has	have	AUX
aps-38	238	10	decreased	decrease	VERB
aps-38	238	11	meaning	meaning	NOUN
aps-38	238	12	after	after	ADP
aps-38	238	13	controlling	control	VERB
aps-38	238	14	for	for	ADP
aps-38	238	15	origin	origin	NOUN
aps-38	238	16	characteristics	characteristic	NOUN
aps-38	238	17	,	,	PUNCT
aps-38	238	18	distance	distance	NOUN
aps-38	238	19	becomes	become	VERB
aps-38	238	20	more	more	ADJ
aps-38	238	21	of	of	ADP
aps-38	238	22	a	a	DET
aps-38	238	23	deterrent	deterrent	NOUN
aps-38	238	24	.	.	PUNCT
aps-38	239	1	where	where	SCONJ
aps-38	239	2	the	the	DET
aps-38	239	3	model	model	NOUN
aps-38	239	4	output	output	NOUN
aps-38	239	5	differs	differ	VERB
aps-38	239	6	is	be	AUX
aps-38	239	7	that	that	SCONJ
aps-38	239	8	the	the	DET
aps-38	239	9	intercept	intercept	NOUN
aps-38	239	10	(	(	PUNCT
aps-38	239	11	𝑘𝑘	𝑘𝑘	NOUN
aps-38	239	12	)	)	PUNCT
aps-38	239	13	parameter	parameter	NOUN
aps-38	239	14	has	have	AUX
aps-38	239	15	been	be	AUX
aps-38	239	16	replaced	replace	VERB
aps-38	239	17	by	by	ADP
aps-38	239	18	the	the	DET
aps-38	239	19	vector	vector	NOUN
aps-38	239	20	of	of	ADP
aps-38	239	21	dummy	dummy	ADJ
aps-38	239	22	variables	variable	NOUN
aps-38	239	23	/	/	SYM
aps-38	239	24	constraints	constraint	NOUN
aps-38	239	25	𝜇𝜇𝑖𝑖	𝜇𝜇𝑖𝑖	NOUN
aps-38	239	26	relating	relate	VERB
aps-38	239	27	to	to	ADP
aps-38	239	28	each	each	DET
aps-38	239	29	origin	origin	NOUN
aps-38	239	30	.	.	PUNCT
aps-38	240	1	we	we	PRON
aps-38	240	2	can	can	AUX
aps-38	240	3	see	see	VERB
aps-38	240	4	from	from	ADP
aps-38	240	5	the	the	DET
aps-38	240	6	standard	standard	ADJ
aps-38	240	7	outputs	output	NOUN
aps-38	240	8	from	from	ADP
aps-38	240	9	the	the	DET
aps-38	240	10	model	model	NOUN
aps-38	240	11	that	that	PRON
aps-38	240	12	all	all	PRON
aps-38	240	13	of	of	ADP
aps-38	240	14	the	the	DET
aps-38	240	15	explanatory	explanatory	ADJ
aps-38	240	16	variables	variable	NOUN
aps-38	240	17	are	be	AUX
aps-38	240	18	statistically	statistically	ADV
aps-38	240	19	significant	significant	ADJ
aps-38	240	20	(	(	PUNCT
aps-38	240	21	*	*	PUNCT
aps-38	240	22	*	*	PUNCT
aps-38	240	23	*	*	PUNCT
aps-38	240	24	)	)	PUNCT
aps-38	240	25	;	;	PUNCT
aps-38	240	26	the	the	DET
aps-38	240	27	z	z	NOUN
aps-38	240	28	-	-	PUNCT
aps-38	240	29	scores	score	NOUN
aps-38	240	30	indicate	indicate	VERB
aps-38	240	31	that	that	SCONJ
aps-38	240	32	the	the	DET
aps-38	240	33	rest	rest	NOUN
aps-38	240	34	of	of	ADP
aps-38	240	35	queensland	queensland	NOUN
aps-38	240	36	and	and	CCONJ
aps-38	240	37	greater	great	ADJ
aps-38	240	38	sydney	sydney	NOUN
aps-38	240	39	have	have	VERB
aps-38	240	40	greater	great	ADJ
aps-38	240	41	emissivity	emissivity	NOUN
aps-38	240	42	properties	property	NOUN
aps-38	240	43	than	than	ADP
aps-38	240	44	all	all	DET
aps-38	240	45	other	other	ADJ
aps-38	240	46	zones	zone	NOUN
aps-38	240	47	in	in	ADP
aps-38	240	48	the	the	DET
aps-38	240	49	model	model	NOUN
aps-38	240	50	,	,	PUNCT
aps-38	240	51	with	with	ADP
aps-38	240	52	factors	factor	NOUN
aps-38	240	53	associated	associate	VERB
aps-38	240	54	with	with	ADP
aps-38	240	55	these	these	DET
aps-38	240	56	zones	zone	NOUN
aps-38	240	57	more	more	ADV
aps-38	240	58	important	important	ADJ
aps-38	240	59	in	in	ADP
aps-38	240	60	explaining	explain	VERB
aps-38	240	61	migration	migration	NOUN
aps-38	240	62	patterns	pattern	NOUN
aps-38	240	63	in	in	ADP
aps-38	240	64	australia	australia	PROPN
aps-38	240	65	than	than	ADP
aps-38	240	66	distance	distance	NOUN
aps-38	240	67	,	,	PUNCT
aps-38	240	68	which	which	PRON
aps-38	240	69	while	while	SCONJ
aps-38	240	70	still	still	ADV
aps-38	240	71	important	important	ADJ
aps-38	240	72	,	,	PUNCT
aps-38	240	73	is	be	AUX
aps-38	240	74	less	less	ADV
aps-38	240	75	important	important	ADJ
aps-38	240	76	than	than	ADP
aps-38	240	77	a	a	DET
aps-38	240	78	number	number	NOUN
aps-38	240	79	of	of	ADP
aps-38	240	80	origin	origin	NOUN
aps-38	240	81	zones	zone	NOUN
aps-38	240	82	.	.	PUNCT
aps-38	241	1	in	in	ADP
aps-38	241	2	the	the	DET
aps-38	241	3	accompanying	accompanying	ADJ
aps-38	241	4	practical	practical	ADJ
aps-38	241	5	guide	guide	NOUN
aps-38	241	6	there	there	PRON
aps-38	241	7	is	be	VERB
aps-38	241	8	code	code	NOUN
aps-38	241	9	that	that	PRON
aps-38	241	10	allows	allow	VERB
aps-38	241	11	you	you	PRON
aps-38	241	12	to	to	PART
aps-38	241	13	create	create	VERB
aps-38	241	14	a	a	DET
aps-38	241	15	new	new	ADJ
aps-38	241	16	set	set	NOUN
aps-38	241	17	of	of	ADP
aps-38	241	18	estimates	estimate	NOUN
aps-38	241	19	by	by	ADP
aps-38	241	20	both	both	PRON
aps-38	241	21	plugging	plug	VERB
aps-38	241	22	these	these	DET
aps-38	241	23	values	value	NOUN
aps-38	241	24	back	back	ADV
aps-38	241	25	into	into	ADP
aps-38	241	26	a	a	DET
aps-38	241	27	multiplicative	multiplicative	ADJ
aps-38	241	28	model	model	NOUN
aps-38	241	29	or	or	CCONJ
aps-38	241	30	by	by	ADP
aps-38	241	31	using	use	VERB
aps-38	241	32	a	a	DET
aps-38	241	33	much	much	ADV
aps-38	241	34	easier	easy	ADJ
aps-38	241	35	built	build	VERB
aps-38	241	36	-	-	PUNCT
aps-38	241	37	in	in	ADP
aps-38	241	38	function	function	NOUN
aps-38	241	39	in	in	ADP
aps-38	241	40	glm	glm	PROPN
aps-38	241	41	(	(	PUNCT
aps-38	241	42	)	)	PUNCT
aps-38	241	43	.	.	PUNCT
aps-38	242	1	using	use	VERB
aps-38	242	2	either	either	CCONJ
aps-38	242	3	method	method	NOUN
aps-38	242	4	will	will	AUX
aps-38	242	5	produce	produce	VERB
aps-38	242	6	the	the	DET
aps-38	242	7	set	set	NOUN
aps-38	242	8	of	of	ADP
aps-38	242	9	flows	flow	NOUN
aps-38	242	10	shown	show	VERB
aps-38	242	11	in	in	ADP
aps-38	242	12	table	table	NOUN
aps-38	242	13	4	4	NUM
aps-38	242	14	.	.	SYM
aps-38	242	15	3	3	NUM
aps-38	242	16	https://en.wikipedia.org/wiki/categorical_variable	https://en.wikipedia.org/wiki/categorical_variable	ADJ
aps-38	242	17	https://en.wikipedia.org/wiki/categorical_variable	https://en.wikipedia.org/wiki/categorical_variable	ADJ
aps-38	242	18	https://en.wikipedia.org/wiki/categorical_variable	https://en.wikipedia.org/wiki/categorical_variable	ADJ
aps-38	242	19	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	PUNCT
aps-38	242	20	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	X
aps-38	242	21	https://en.wikipedia.org/wiki/categorical_variable	https://en.wikipedia.org/wiki/categorical_variable	ADJ
aps-38	242	22	australian	australian	ADJ
aps-38	242	23	population	population	NOUN
aps-38	242	24	studies	study	NOUN
aps-38	242	25	2	2	NUM
aps-38	242	26	(	(	PUNCT
aps-38	242	27	2	2	NUM
aps-38	242	28	)	)	PUNCT
aps-38	242	29	2018	2018	NUM
aps-38	242	30	dennett	dennett	PROPN
aps-38	242	31	51	51	NUM
aps-38	242	32	call	call	NOUN
aps-38	242	33	:	:	PUNCT
aps-38	242	34	glm(formula	glm(formula	NUM
aps-38	242	35	=	=	PUNCT
aps-38	242	36	flow	flow	NOUN
aps-38	242	37	~	~	PUNCT
aps-38	242	38	orig_code	orig_code	PROPN
aps-38	242	39	+	+	SYM
aps-38	242	40	log(wj3_destmedinc	log(wj3_destmedinc	ADJ
aps-38	242	41	)	)	PUNCT
aps-38	242	42	+	+	SYM
aps-38	242	43	log(dist	log(dist	NOUN
aps-38	242	44	)	)	PUNCT
aps-38	242	45	1	1	NUM
aps-38	242	46	,	,	PUNCT
aps-38	242	47	family	family	NOUN
aps-38	242	48	=	=	SYM
aps-38	242	49	poisson(link	poisson(link	NOUN
aps-38	242	50	=	=	PUNCT
aps-38	242	51	"	"	PUNCT
aps-38	242	52	log	log	NOUN
aps-38	242	53	"	"	PUNCT
aps-38	242	54	)	)	PUNCT
aps-38	242	55	,	,	PUNCT
aps-38	242	56	data	datum	NOUN
aps-38	242	57	=	=	SYM
aps-38	242	58	mdatasub	mdatasub	NOUN
aps-38	242	59	,	,	PUNCT
aps-38	242	60	na.action	na.action	NOUN
aps-38	242	61	=	=	SYM
aps-38	242	62	na.exclude	na.exclude	NUM
aps-38	242	63	)	)	PUNCT
aps-38	242	64	deviance	deviance	NOUN
aps-38	242	65	residuals	residual	NOUN
aps-38	242	66	:	:	PUNCT
aps-38	242	67	min	min	NOUN
aps-38	242	68	1q	1q	ADJ
aps-38	242	69	median	median	NOUN
aps-38	242	70	3q	3q	NUM
aps-38	242	71	max	max	PROPN
aps-38	242	72	-225.71	-225.71	PROPN
aps-38	242	73	-54.10	-54.10	PROPN
aps-38	242	74	-15.94	-15.94	PROPN
aps-38	242	75	20.45	20.45	NUM
aps-38	242	76	374.27	374.27	NUM
aps-38	242	77	coefficients	coefficient	NOUN
aps-38	242	78	:	:	PUNCT
aps-38	242	79	estimate	estimate	VERB
aps-38	242	80	std	std	NOUN
aps-38	242	81	.	.	NOUN
aps-38	242	82	error	error	NOUN
aps-38	242	83	z	z	NOUN
aps-38	242	84	value	value	NOUN
aps-38	242	85	pr(>|z|	pr(>|z|	NOUN
aps-38	242	86	)	)	PUNCT
aps-38	242	87	orig_code1gsyd	orig_code1gsyd	PROPN
aps-38	242	88	19.541851	19.541851	NUM
aps-38	242	89	0.023767	0.023767	NUM
aps-38	242	90	822.22	822.22	NUM
aps-38	242	91	<	<	X
aps-38	242	92	0.0000000000000002	0.0000000000000002	NUM
aps-38	242	93	*	*	PUNCT
aps-38	242	94	*	*	PUNCT
aps-38	242	95	*	*	PUNCT
aps-38	242	96	orig_code1rnsw	orig_code1rnsw	NOUN
aps-38	242	97	19.425497	19.425497	NUM
aps-38	242	98	0.023913	0.023913	NUM
aps-38	242	99	812.35	812.35	NUM
aps-38	242	100	<	<	X
aps-38	242	101	0.0000000000000002	0.0000000000000002	NUM
aps-38	242	102	*	*	PUNCT
aps-38	242	103	*	*	PUNCT
aps-38	242	104	*	*	PUNCT
aps-38	243	1	orig_code2gmel	orig_code2gmel	NUM
aps-38	243	2	18.875763	18.875763	NUM
aps-38	244	1	0.023243	0.023243	NUM
aps-38	244	2	812.12	812.12	NUM
aps-38	244	3	<	<	X
aps-38	244	4	0.0000000000000002	0.0000000000000002	NUM
aps-38	244	5	*	*	PUNCT
aps-38	244	6	*	*	PUNCT
aps-38	244	7	*	*	PUNCT
aps-38	244	8	orig_code2rvic	orig_code2rvic	PROPN
aps-38	244	9	18.335242	18.335242	NUM
aps-38	244	10	0.022996	0.022996	NUM
aps-38	244	11	797.31	797.31	NUM
aps-38	244	12	<	<	X
aps-38	244	13	0.0000000000000002	0.0000000000000002	NUM
aps-38	244	14	*	*	PUNCT
aps-38	244	15	*	*	PUNCT
aps-38	244	16	*	*	PUNCT
aps-38	244	17	orig_code3gbri	orig_code3gbri	PROPN
aps-38	244	18	19.856564	19.856564	NUM
aps-38	244	19	0.024063	0.024063	NUM
aps-38	244	20	825.20	825.20	NUM
aps-38	244	21	<	<	X
aps-38	244	22	0.0000000000000002	0.0000000000000002	NUM
aps-38	244	23	*	*	PUNCT
aps-38	244	24	*	*	PUNCT
aps-38	244	25	*	*	PUNCT
aps-38	245	1	orig_code3rqld	orig_code3rqld	PROPN
aps-38	245	2	20.094898	20.094898	NUM
aps-38	245	3	0.024300	0.024300	NUM
aps-38	245	4	826.94	826.94	NUM
aps-38	245	5	<	<	X
aps-38	245	6	0.0000000000000002	0.0000000000000002	NUM
aps-38	245	7	*	*	PUNCT
aps-38	245	8	*	*	PUNCT
aps-38	245	9	*	*	PUNCT
aps-38	245	10	orig_code4gade	orig_code4gade	NUM
aps-38	245	11	18.747938	18.747938	NUM
aps-38	245	12	0.023966	0.023966	NUM
aps-38	246	1	782.28	782.28	NUM
aps-38	246	2	<	<	X
aps-38	246	3	0.0000000000000002	0.0000000000000002	NUM
aps-38	246	4	*	*	PUNCT
aps-38	246	5	*	*	PUNCT
aps-38	246	6	*	*	PUNCT
aps-38	246	7	orig_code4rsau	orig_code4rsau	PRON
aps-38	246	8	18.324029	18.324029	NUM
aps-38	246	9	0.024407	0.024407	NUM
aps-38	246	10	750.75	750.75	NUM
aps-38	246	11	<	<	X
aps-38	246	12	0.0000000000000002	0.0000000000000002	NUM
aps-38	246	13	*	*	PUNCT
aps-38	246	14	*	*	PUNCT
aps-38	246	15	*	*	PUNCT
aps-38	246	16	orig_code5gper	orig_code5gper	PRON
aps-38	246	17	20.010551	20.010551	NUM
aps-38	247	1	0.024631	0.024631	NUM
aps-38	248	1	812.43	812.43	NUM
aps-38	248	2	<	<	X
aps-38	248	3	0.0000000000000002	0.0000000000000002	NUM
aps-38	248	4	*	*	PUNCT
aps-38	248	5	*	*	PUNCT
aps-38	248	6	*	*	PUNCT
aps-38	248	7	orig_code5rwau	orig_code5rwau	NOUN
aps-38	248	8	19.392751	19.392751	NUM
aps-38	248	9	0.024611	0.024611	NUM
aps-38	248	10	787.96	787.96	NUM
aps-38	248	11	<	<	X
aps-38	248	12	0.0000000000000002	0.0000000000000002	NUM
aps-38	248	13	*	*	PUNCT
aps-38	248	14	*	*	PUNCT
aps-38	248	15	*	*	AUX
aps-38	248	16	orig_code6ghob	orig_code6ghob	VERB
aps-38	248	17	16.802016	16.802016	NUM
aps-38	248	18	0.024282	0.024282	NUM
aps-38	248	19	691.97	691.97	NUM
aps-38	248	20	<	<	X
aps-38	248	21	0.0000000000000002	0.0000000000000002	NUM
aps-38	248	22	*	*	PUNCT
aps-38	248	23	*	*	PUNCT
aps-38	248	24	*	*	PUNCT
aps-38	248	25	orig_code6rtas	orig_code6rtas	PROPN
aps-38	248	26	17.013981	17.013981	NUM
aps-38	248	27	0.023587	0.023587	NUM
aps-38	248	28	721.33	721.33	NUM
aps-38	248	29	<	<	NOUN
aps-38	248	30	0.0000000000000002	0.0000000000000002	NUM
aps-38	248	31	*	*	PUNCT
aps-38	248	32	*	*	PUNCT
aps-38	248	33	*	*	PUNCT
aps-38	248	34	orig_code7gdar	orig_code7gdar	NOUN
aps-38	248	35	18.607483	18.607483	NUM
aps-38	248	36	0.025012	0.025012	NUM
aps-38	248	37	743.93	743.93	NUM
aps-38	248	38	<	<	X
aps-38	248	39	0.0000000000000002	0.0000000000000002	NUM
aps-38	248	40	*	*	PUNCT
aps-38	248	41	*	*	PUNCT
aps-38	248	42	*	*	PUNCT
aps-38	248	43	orig_code7rnte	orig_code7rnte	PROPN
aps-38	248	44	17.798856	17.798856	NUM
aps-38	248	45	0.025704	0.025704	NUM
aps-38	248	46	692.45	692.45	NUM
aps-38	248	47	<	<	X
aps-38	248	48	0.0000000000000002	0.0000000000000002	NUM
aps-38	248	49	*	*	PUNCT
aps-38	248	50	*	*	PUNCT
aps-38	248	51	*	*	PUNCT
aps-38	248	52	orig_code8acte	orig_code8acte	NUM
aps-38	248	53	17.796693	17.796693	NUM
aps-38	248	54	0.023895	0.023895	NUM
aps-38	248	55	744.79	744.79	NUM
aps-38	248	56	<	<	X
aps-38	248	57	0.0000000000000002	0.0000000000000002	NUM
aps-38	248	58	*	*	PUNCT
aps-38	248	59	*	*	PUNCT
aps-38	248	60	*	*	PUNCT
aps-38	248	61	log(wj3_destmedinc	log(wj3_destmedinc	PROPN
aps-38	248	62	)	)	PUNCT
aps-38	248	63	-0.272640	-0.272640	NOUN
aps-38	249	1	0.003383	0.003383	NUM
aps-38	250	1	-80.59	-80.59	PUNCT
aps-38	251	1	<	<	X
aps-38	251	2	0.0000000000000002	0.0000000000000002	NUM
aps-38	251	3	*	*	PUNCT
aps-38	251	4	*	*	PUNCT
aps-38	251	5	*	*	NOUN
aps-38	251	6	log(dist	log(dist	NOUN
aps-38	251	7	)	)	PUNCT
aps-38	251	8	-1.227679	-1.227679	NOUN
aps-38	252	1	0.001400	0.001400	NUM
aps-38	252	2	-876.71	-876.71	PROPN
aps-38	252	3	<	<	X
aps-38	252	4	0.0000000000000002	0.0000000000000002	NUM
aps-38	252	5	*	*	PUNCT
aps-38	252	6	*	*	PUNCT
aps-38	252	7	*	*	PUNCT
aps-38	252	8	--	--	PUNCT
aps-38	252	9	signif	signif	NOUN
aps-38	252	10	.	.	PUNCT
aps-38	253	1	codes	code	NOUN
aps-38	253	2	:	:	PUNCT
aps-38	253	3	0	0	NUM
aps-38	253	4	‘	'	PUNCT
aps-38	253	5	*	*	PUNCT
aps-38	253	6	*	*	PUNCT
aps-38	253	7	*	*	NOUN
aps-38	253	8	’	'	PUNCT
aps-38	253	9	0.001	0.001	NUM
aps-38	253	10	‘	'	PUNCT
aps-38	253	11	*	*	NOUN
aps-38	253	12	*	*	NOUN
aps-38	253	13	’	'	PUNCT
aps-38	253	14	0.01	0.01	NUM
aps-38	253	15	‘	'	PUNCT
aps-38	253	16	*	*	NOUN
aps-38	253	17	’	'	PUNCT
aps-38	253	18	0.05	0.05	NUM
aps-38	253	19	‘	'	PUNCT
aps-38	253	20	.	.	PUNCT
aps-38	253	21	’	'	PUNCT
aps-38	254	1	0.1	0.1	NUM
aps-38	254	2	‘	'	PUNCT
aps-38	254	3	’	'	PUNCT
aps-38	254	4	1	1	NUM
aps-38	254	5	(	(	PUNCT
aps-38	254	6	dispersion	dispersion	NOUN
aps-38	254	7	parameter	parameter	NOUN
aps-38	254	8	for	for	ADP
aps-38	254	9	poisson	poisson	PROPN
aps-38	254	10	family	family	NOUN
aps-38	254	11	taken	take	VERB
aps-38	254	12	to	to	PART
aps-38	254	13	be	be	AUX
aps-38	254	14	1	1	NUM
aps-38	254	15	)	)	PUNCT
aps-38	254	16	null	null	ADJ
aps-38	254	17	deviance	deviance	NOUN
aps-38	254	18	:	:	PUNCT
aps-38	254	19	23087017	23087017	NUM
aps-38	254	20	on	on	ADP
aps-38	254	21	210	210	NUM
aps-38	254	22	degrees	degree	NOUN
aps-38	254	23	of	of	ADP
aps-38	254	24	freedom	freedom	NOUN
aps-38	254	25	residual	residual	ADJ
aps-38	254	26	deviance	deviance	NOUN
aps-38	254	27	:	:	PUNCT
aps-38	254	28	1207394	1207394	NUM
aps-38	254	29	on	on	ADP
aps-38	254	30	193	193	NUM
aps-38	254	31	degrees	degree	NOUN
aps-38	254	32	of	of	ADP
aps-38	254	33	freedom	freedom	NOUN
aps-38	254	34	aic	aic	PROPN
aps-38	254	35	:	:	PUNCT
aps-38	254	36	1209427	1209427	NUM
aps-38	254	37	number	number	NOUN
aps-38	254	38	of	of	ADP
aps-38	254	39	fisher	fisher	PROPN
aps-38	254	40	scoring	score	VERB
aps-38	254	41	iterations	iteration	NOUN
aps-38	254	42	:	:	PUNCT
aps-38	254	43	6	6	NUM
aps-38	254	44	box	box	NOUN
aps-38	254	45	2	2	NUM
aps-38	254	46	:	:	PUNCT
aps-38	254	47	outputs	output	NOUN
aps-38	254	48	from	from	ADP
aps-38	254	49	the	the	DET
aps-38	254	50	production	production	NOUN
aps-38	254	51	constrained	constrain	VERB
aps-38	254	52	model	model	NOUN
aps-38	254	53	specified	specify	VERB
aps-38	254	54	in	in	ADP
aps-38	254	55	equation	equation	NOUN
aps-38	254	56	10	10	NUM
aps-38	254	57	comparing	compare	VERB
aps-38	254	58	table	table	NOUN
aps-38	254	59	4	4	NUM
aps-38	254	60	with	with	ADP
aps-38	254	61	table	table	NOUN
aps-38	254	62	3	3	NUM
aps-38	254	63	,	,	PUNCT
aps-38	254	64	it	it	PRON
aps-38	254	65	is	be	AUX
aps-38	254	66	very	very	ADV
aps-38	254	67	easy	easy	ADJ
aps-38	254	68	to	to	PART
aps-38	254	69	see	see	VERB
aps-38	254	70	the	the	DET
aps-38	254	71	origin	origin	NOUN
aps-38	254	72	constraints	constraint	NOUN
aps-38	254	73	working	work	VERB
aps-38	254	74	.	.	PUNCT
aps-38	255	1	the	the	DET
aps-38	255	2	sum	sum	NOUN
aps-38	255	3	across	across	ADP
aps-38	255	4	all	all	DET
aps-38	255	5	destinations	destination	NOUN
aps-38	255	6	for	for	ADP
aps-38	255	7	each	each	DET
aps-38	255	8	origin	origin	NOUN
aps-38	255	9	in	in	ADP
aps-38	255	10	the	the	DET
aps-38	255	11	estimated	estimate	VERB
aps-38	255	12	matrix	matrix	NOUN
aps-38	255	13	(	(	PUNCT
aps-38	255	14	table	table	NOUN
aps-38	255	15	4	4	NUM
aps-38	255	16	)	)	PUNCT
aps-38	255	17	is	be	AUX
aps-38	255	18	exactly	exactly	ADV
aps-38	255	19	the	the	DET
aps-38	255	20	same	same	ADJ
aps-38	255	21	(	(	PUNCT
aps-38	255	22	give	give	VERB
aps-38	255	23	or	or	CCONJ
aps-38	255	24	take	take	VERB
aps-38	255	25	the	the	DET
aps-38	255	26	odd	odd	ADJ
aps-38	255	27	rounding	rounding	NOUN
aps-38	255	28	error	error	NOUN
aps-38	255	29	)	)	PUNCT
aps-38	255	30	as	as	ADP
aps-38	255	31	the	the	DET
aps-38	255	32	same	same	ADJ
aps-38	255	33	sum	sum	NOUN
aps-38	255	34	across	across	ADP
aps-38	255	35	the	the	DET
aps-38	255	36	observed	observe	VERB
aps-38	255	37	matrix	matrix	NOUN
aps-38	255	38	(	(	PUNCT
aps-38	255	39	table	table	NOUN
aps-38	255	40	3	3	NUM
aps-38	255	41	):	):	PUNCT
aps-38	255	42	∑	∑	PUNCT
aps-38	255	43	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	PROPN
aps-38	255	44	=	=	PUNCT
aps-38	255	45	∑	∑	PUNCT
aps-38	255	46	𝜆𝜆𝑖𝑖𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖𝑖𝑖	NOUN
aps-38	255	47	=	=	PUNCT
aps-38	255	48	𝑂𝑂𝑖𝑖.	𝑂𝑂𝑖𝑖.	ADJ
aps-38	255	49	but	but	CCONJ
aps-38	255	50	clearly	clearly	ADV
aps-38	255	51	the	the	DET
aps-38	255	52	same	same	ADJ
aps-38	255	53	is	be	AUX
aps-38	255	54	not	not	PART
aps-38	255	55	true	true	ADJ
aps-38	255	56	when	when	SCONJ
aps-38	255	57	you	you	PRON
aps-38	255	58	sum	sum	VERB
aps-38	255	59	across	across	ADP
aps-38	255	60	all	all	DET
aps-38	255	61	origins	origin	NOUN
aps-38	255	62	for	for	ADP
aps-38	255	63	each	each	DET
aps-38	255	64	destination	destination	NOUN
aps-38	255	65	:	:	PUNCT
aps-38	255	66	∑	∑	PUNCT
aps-38	256	1	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	PROPN
aps-38	256	2	≠	≠	PROPN
aps-38	256	3	∑	∑	ADP
aps-38	256	4	𝜆𝜆𝑖𝑖𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖𝑖𝑖	NOUN
aps-38	256	5	≠	≠	PROPN
aps-38	256	6	𝐷𝐷𝑖𝑖.	𝐷𝐷𝑖𝑖.	ADV
aps-38	256	7	calculating	calculate	VERB
aps-38	256	8	the	the	DET
aps-38	256	9	r2	r2	PROPN
aps-38	256	10	value	value	NOUN
aps-38	256	11	,	,	PUNCT
aps-38	256	12	the	the	DET
aps-38	256	13	fit	fit	NOUN
aps-38	256	14	of	of	ADP
aps-38	256	15	the	the	DET
aps-38	256	16	model	model	NOUN
aps-38	256	17	has	have	AUX
aps-38	256	18	improved	improve	VERB
aps-38	256	19	quite	quite	ADV
aps-38	256	20	considerably	considerably	ADV
aps-38	256	21	:	:	PUNCT
aps-38	256	22	from	from	ADP
aps-38	256	23	around	around	ADP
aps-38	256	24	0.32	0.32	NUM
aps-38	256	25	in	in	ADP
aps-38	256	26	the	the	DET
aps-38	256	27	unconstrained	unconstrained	ADJ
aps-38	256	28	model	model	NOUN
aps-38	256	29	to	to	ADP
aps-38	256	30	around	around	ADP
aps-38	256	31	0.43	0.43	NUM
aps-38	256	32	in	in	ADP
aps-38	256	33	this	this	DET
aps-38	256	34	model	model	NOUN
aps-38	256	35	.	.	PUNCT
aps-38	257	1	the	the	DET
aps-38	257	2	rmse	rmse	NOUN
aps-38	257	3	has	have	AUX
aps-38	257	4	also	also	ADV
aps-38	257	5	dropped	drop	VERB
aps-38	257	6	quite	quite	ADV
aps-38	257	7	noticeably	noticeably	ADV
aps-38	257	8	.	.	PUNCT
aps-38	258	1	one	one	NUM
aps-38	258	2	of	of	ADP
aps-38	258	3	the	the	DET
aps-38	258	4	advantages	advantage	NOUN
aps-38	258	5	of	of	ADP
aps-38	258	6	singly	singly	ADV
aps-38	258	7	constrained	constrain	VERB
aps-38	258	8	models	model	NOUN
aps-38	258	9	is	be	AUX
aps-38	258	10	that	that	SCONJ
aps-38	258	11	once	once	ADV
aps-38	258	12	initial	initial	ADJ
aps-38	258	13	parameters	parameter	NOUN
aps-38	258	14	have	have	AUX
aps-38	258	15	been	be	AUX
aps-38	258	16	calibrated	calibrate	VERB
aps-38	258	17	on	on	ADP
aps-38	258	18	existing	exist	VERB
aps-38	258	19	data	datum	NOUN
aps-38	258	20	,	,	PUNCT
aps-38	258	21	then	then	ADV
aps-38	258	22	changes	change	NOUN
aps-38	258	23	can	can	AUX
aps-38	258	24	be	be	AUX
aps-38	258	25	made	make	VERB
aps-38	258	26	to	to	ADP
aps-38	258	27	destination	destination	NOUN
aps-38	258	28	variables	variable	NOUN
aps-38	258	29	(	(	PUNCT
aps-38	258	30	for	for	ADP
aps-38	258	31	origin	origin	NOUN
aps-38	258	32	/	/	SYM
aps-38	258	33	production	production	NOUN
aps-38	258	34	constrained	constrain	VERB
aps-38	258	35	models	model	NOUN
aps-38	258	36	)	)	PUNCT
aps-38	258	37	or	or	CCONJ
aps-38	258	38	origin	origin	NOUN
aps-38	258	39	variables	variable	NOUN
aps-38	258	40	(	(	PUNCT
aps-38	258	41	for	for	ADP
aps-38	258	42	destination	destination	NOUN
aps-38	258	43	/	/	SYM
aps-38	258	44	attraction	attraction	NOUN
aps-38	258	45	constrained	constrain	VERB
aps-38	258	46	models	model	NOUN
aps-38	258	47	)	)	PUNCT
aps-38	258	48	and	and	CCONJ
aps-38	258	49	the	the	DET
aps-38	258	50	impact	impact	NOUN
aps-38	258	51	on	on	ADP
aps-38	258	52	flow	flow	NOUN
aps-38	258	53	estimates	estimate	NOUN
aps-38	258	54	explored	explore	VERB
aps-38	258	55	.	.	PUNCT
aps-38	259	1	for	for	ADP
aps-38	259	2	example	example	NOUN
aps-38	259	3	,	,	PUNCT
aps-38	259	4	what	what	PRON
aps-38	259	5	would	would	AUX
aps-38	259	6	happen	happen	VERB
aps-38	259	7	if	if	SCONJ
aps-38	259	8	average	average	ADJ
aps-38	259	9	wages	wage	NOUN
aps-38	259	10	suddenly	suddenly	ADV
aps-38	259	11	increased	increase	VERB
aps-38	259	12	in	in	ADP
aps-38	259	13	an	an	DET
aps-38	259	14	area	area	NOUN
aps-38	259	15	?	?	PUNCT
aps-38	260	1	how	how	SCONJ
aps-38	260	2	would	would	AUX
aps-38	260	3	this	this	DET
aps-38	260	4	impact	impact	NOUN
aps-38	260	5	migration	migration	NOUN
aps-38	260	6	flows	flow	VERB
aps-38	260	7	to	to	PART
aps-38	260	8	and	and	CCONJ
aps-38	260	9	from	from	ADP
aps-38	260	10	that	that	DET
aps-38	260	11	area	area	NOUN
aps-38	260	12	?	?	PUNCT
aps-38	261	1	the	the	DET
aps-38	261	2	accompanying	accompanying	ADJ
aps-38	261	3	worked	work	VERB
aps-38	261	4	example	example	NOUN
aps-38	261	5	demonstrates	demonstrate	VERB
aps-38	261	6	how	how	SCONJ
aps-38	261	7	this	this	PRON
aps-38	261	8	can	can	AUX
aps-38	261	9	be	be	AUX
aps-38	261	10	explored	explore	VERB
aps-38	261	11	.	.	PUNCT
aps-38	262	1	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	PROPN
aps-38	262	2	52	52	NUM
aps-38	262	3	dennett	dennett	PROPN
aps-38	262	4	australian	australian	ADJ
aps-38	262	5	population	population	NOUN
aps-38	262	6	studies	study	NOUN
aps-38	262	7	2	2	NUM
aps-38	262	8	(	(	PUNCT
aps-38	262	9	2	2	NUM
aps-38	262	10	)	)	SYM
aps-38	262	11	2018	2018	NUM
aps-38	262	12	table	table	NOUN
aps-38	262	13	4	4	NUM
aps-38	262	14	:	:	PUNCT
aps-38	262	15	modelled	model	VERB
aps-38	262	16	flows	flow	NOUN
aps-38	262	17	from	from	ADP
aps-38	262	18	a	a	DET
aps-38	262	19	production	production	NOUN
aps-38	262	20	constrained	constrain	VERB
aps-38	262	21	spatial	spatial	ADJ
aps-38	262	22	interaction	interaction	NOUN
aps-38	262	23	model	model	NOUN
aps-38	262	24	with	with	ADP
aps-38	262	25	parameters	parameter	NOUN
aps-38	262	26	calibrated	calibrate	VERB
aps-38	262	27	by	by	ADP
aps-38	262	28	a	a	DET
aps-38	262	29	poisson	poisson	PROPN
aps-38	262	30	regression	regression	NOUN
aps-38	262	31	model	model	NOUN
aps-38	262	32	origin	origin	NOUN
aps-38	262	33	/	/	SYM
aps-38	262	34	destination	destination	NOUN
aps-38	262	35	1gsyd	1gsyd	NUM
aps-38	262	36	1rnsw	1rnsw	NUM
aps-38	263	1	2gmel	2gmel	NUM
aps-38	263	2	2rvic	2rvic	NUM
aps-38	263	3	3gbri	3gbri	NUM
aps-38	263	4	3rqld	3rqld	NUM
aps-38	263	5	4gade	4gade	NUM
aps-38	263	6	4rsau	4rsau	NUM
aps-38	263	7	5gper	5gper	NUM
aps-38	263	8	5rwau	5rwau	NUM
aps-38	263	9	6ghob	6ghob	NUM
aps-38	263	10	6rtas	6rtas	NUM
aps-38	263	11	7gdar	7gdar	NUM
aps-38	263	12	7rnte	7rnte	NUM
aps-38	263	13	8acte	8acte	NUM
aps-38	263	14	(	(	PUNCT
aps-38	263	15	all	all	PRON
aps-38	263	16	)	)	PUNCT
aps-38	264	1	1gsyd	1gsyd	NUM
aps-38	264	2	0	0	NUM
aps-38	264	3	36794	36794	NUM
aps-38	264	4	19752	19752	NUM
aps-38	264	5	18516	18516	NUM
aps-38	264	6	15905	15905	NUM
aps-38	264	7	8076	8076	NUM
aps-38	264	8	10591	10591	NUM
aps-38	264	9	7248	7248	NUM
aps-38	264	10	2504	2504	NUM
aps-38	264	11	2860	2860	NUM
aps-38	264	12	11192	11192	NUM
aps-38	264	13	11454	11454	NUM
aps-38	264	14	2519	2519	NUM
aps-38	264	15	4105	4105	NUM
aps-38	264	16	53308	53308	NUM
aps-38	264	17	204824	204824	NUM
aps-38	264	18	1rnsw	1rnsw	NUM
aps-38	264	19	29163	29163	NUM
aps-38	264	20	0	0	NUM
aps-38	264	21	18862	18862	NUM
aps-38	264	22	20620	20620	NUM
aps-38	264	23	13173	13173	NUM
aps-38	264	24	9548	9548	NUM
aps-38	264	25	13715	13715	NUM
aps-38	264	26	9329	9329	NUM
aps-38	264	27	2549	2549	NUM
aps-38	264	28	3032	3032	NUM
aps-38	264	29	8667	8667	NUM
aps-38	264	30	9100	9100	NUM
aps-38	264	31	2619	2619	NUM
aps-38	264	32	4543	4543	NUM
aps-38	264	33	26439	26439	NUM
aps-38	264	34	171359	171359	NUM
aps-38	264	35	2gmel	2gmel	NUM
aps-38	264	36	8501	8501	NUM
aps-38	264	37	10243	10243	NUM
aps-38	264	38	0	0	NUM
aps-38	264	39	70950	70950	NUM
aps-38	264	40	3742	3742	NUM
aps-38	264	41	3243	3243	NUM
aps-38	264	42	10367	10367	NUM
aps-38	264	43	4685	4685	NUM
aps-38	264	44	1584	1584	NUM
aps-38	264	45	1705	1705	NUM
aps-38	264	46	11552	11552	NUM
aps-38	264	47	14147	14147	NUM
aps-38	264	48	1268	1268	NUM
aps-38	264	49	2109	2109	NUM
aps-38	264	50	14474	14474	NUM
aps-38	264	51	158570	158570	NUM
aps-38	264	52	2rvic	2rvic	NUM
aps-38	264	53	4924	4924	NUM
aps-38	264	54	6918	6918	NUM
aps-38	264	55	43838	43838	NUM
aps-38	264	56	0	0	NUM
aps-38	264	57	2263	2263	NUM
aps-38	264	58	2050	2050	NUM
aps-38	264	59	7667	7667	NUM
aps-38	264	60	3139	3139	NUM
aps-38	264	61	961	961	NUM
aps-38	264	62	1053	1053	NUM
aps-38	264	63	5309	5309	NUM
aps-38	264	64	6221	6221	NUM
aps-38	264	65	779	779	NUM
aps-38	264	66	1320	1320	NUM
aps-38	264	67	7935	7935	NUM
aps-38	264	68	94377	94377	NUM
aps-38	265	1	3gbri	3gbri	NUM
aps-38	265	2	21684	21684	NUM
aps-38	265	3	22658	22658	NUM
aps-38	265	4	11852	11852	NUM
aps-38	265	5	11604	11604	NUM
aps-38	265	6	0	0	SYM
aps-38	265	7	16555	16555	NUM
aps-38	265	8	9653	9653	NUM
aps-38	265	9	8526	8526	NUM
aps-38	265	10	3069	3069	NUM
aps-38	265	11	3722	3722	NUM
aps-38	265	12	8200	8200	NUM
aps-38	265	13	8144	8144	NUM
aps-38	265	14	3886	3886	NUM
aps-38	265	15	6207	6207	NUM
aps-38	265	16	14647	14647	NUM
aps-38	265	17	150407	150407	NUM
aps-38	265	18	3rqld	3rqld	NUM
aps-38	265	19	12057	12057	NUM
aps-38	265	20	17984	17984	NUM
aps-38	265	21	11248	11248	NUM
aps-38	265	22	11511	11511	NUM
aps-38	265	23	18128	18128	NUM
aps-38	265	24	0	0	SYM
aps-38	265	25	12989	12989	NUM
aps-38	265	26	16188	16188	NUM
aps-38	265	27	4832	4832	NUM
aps-38	265	28	6746	6746	NUM
aps-38	265	29	7639	7639	NUM
aps-38	265	30	7664	7664	NUM
aps-38	265	31	8515	8515	NUM
aps-38	265	32	16335	16335	NUM
aps-38	265	33	10539	10539	NUM
aps-38	265	34	162375	162375	NUM
aps-38	265	35	4gade	4gade	NUM
aps-38	265	36	4109	4109	NUM
aps-38	265	37	6714	6714	NUM
aps-38	265	38	9345	9345	NUM
aps-38	265	39	11186	11186	NUM
aps-38	265	40	2747	2747	NUM
aps-38	265	41	3376	3376	NUM
aps-38	265	42	0	0	SYM
aps-38	265	43	9731	9731	NUM
aps-38	265	44	1895	1895	NUM
aps-38	265	45	2167	2167	NUM
aps-38	265	46	4506	4506	NUM
aps-38	265	47	4879	4879	NUM
aps-38	265	48	1403	1403	NUM
aps-38	265	49	2558	2558	NUM
aps-38	265	50	4912	4912	NUM
aps-38	265	51	69528	69528	NUM
aps-38	265	52	4rsau	4rsau	NUM
aps-38	265	53	1922	1922	NUM
aps-38	265	54	3122	3122	NUM
aps-38	265	55	2887	2887	NUM
aps-38	265	56	3130	3130	NUM
aps-38	265	57	1659	1659	NUM
aps-38	265	58	2876	2876	NUM
aps-38	265	59	6653	6653	NUM
aps-38	265	60	0	0	NUM
aps-38	265	61	1438	1438	NUM
aps-38	265	62	2028	2028	NUM
aps-38	265	63	1780	1780	NUM
aps-38	265	64	1840	1840	NUM
aps-38	265	65	1264	1264	NUM
aps-38	265	66	2736	2736	NUM
aps-38	265	67	2017	2017	NUM
aps-38	265	68	35352	35352	NUM
aps-38	265	69	5gper	5gper	NUM
aps-38	265	70	3930	3930	NUM
aps-38	265	71	5048	5048	NUM
aps-38	265	72	5777	5777	NUM
aps-38	265	73	5673	5673	NUM
aps-38	265	74	3533	3533	NUM
aps-38	265	75	5080	5080	NUM
aps-38	265	76	7666	7666	NUM
aps-38	265	77	8507	8507	NUM
aps-38	265	78	0	0	NUM
aps-38	265	79	17470	17470	NUM
aps-38	265	80	4952	4952	NUM
aps-38	265	81	4882	4882	NUM
aps-38	265	82	4812	4812	NUM
aps-38	265	83	6954	6954	NUM
aps-38	265	84	4064	4064	NUM
aps-38	265	85	88348	88348	NUM
aps-38	265	86	5rwau	5rwau	NUM
aps-38	265	87	2445	2445	NUM
aps-38	265	88	3269	3269	NUM
aps-38	265	89	3387	3387	NUM
aps-38	265	90	3386	3386	NUM
aps-38	265	91	2333	2333	NUM
aps-38	265	92	3862	3862	NUM
aps-38	265	93	4775	4775	NUM
aps-38	265	94	6535	6535	NUM
aps-38	265	95	9514	9514	NUM
aps-38	265	96	0	0	SYM
aps-38	265	97	2696	2696	NUM
aps-38	265	98	2679	2679	NUM
aps-38	265	99	4515	4515	NUM
aps-38	265	100	7196	7196	NUM
aps-38	265	101	2476	2476	NUM
aps-38	265	102	59068	59068	NUM
aps-38	265	103	6ghob	6ghob	NUM
aps-38	265	104	619	619	NUM
aps-38	265	105	605	605	NUM
aps-38	265	106	1485	1485	NUM
aps-38	265	107	1105	1105	NUM
aps-38	265	108	333	333	NUM
aps-38	265	109	283	283	NUM
aps-38	265	110	643	643	NUM
aps-38	265	111	371	371	NUM
aps-38	265	112	175	175	NUM
aps-38	265	113	175	175	NUM
aps-38	265	114	0	0	NUM
aps-38	265	115	9840	9840	NUM
aps-38	265	116	129	129	NUM
aps-38	265	117	201	201	NUM
aps-38	265	118	807	807	NUM
aps-38	265	119	16771	16771	NUM
aps-38	265	120	6rtas	6rtas	NUM
aps-38	265	121	827	827	NUM
aps-38	265	122	829	829	NUM
aps-38	265	123	2374	2374	NUM
aps-38	265	124	1689	1689	NUM
aps-38	265	125	431	431	NUM
aps-38	265	126	371	371	NUM
aps-38	265	127	908	908	NUM
aps-38	265	128	501	501	NUM
aps-38	265	129	225	225	NUM
aps-38	265	130	226	226	NUM
aps-38	265	131	12842	12842	NUM
aps-38	265	132	0	0	NUM
aps-38	265	133	166	166	NUM
aps-38	265	134	261	261	NUM
aps-38	265	135	1121	1121	NUM
aps-38	265	136	22771	22771	NUM
aps-38	265	137	7gdar	7gdar	NUM
aps-38	265	138	1030	1030	NUM
aps-38	265	139	1350	1350	NUM
aps-38	265	140	1204	1204	NUM
aps-38	265	141	1198	1198	NUM
aps-38	265	142	1165	1165	NUM
aps-38	265	143	2331	2331	NUM
aps-38	265	144	1478	1478	NUM
aps-38	265	145	1948	1948	NUM
aps-38	265	146	1253	1253	NUM
aps-38	265	147	2159	2159	NUM
aps-38	265	148	950	950	NUM
aps-38	265	149	937	937	NUM
aps-38	265	150	0	0	NUM
aps-38	265	151	6000	6000	NUM
aps-38	265	152	981	981	NUM
aps-38	265	153	23984	23984	NUM
aps-38	265	154	7rnte	7rnte	NUM
aps-38	265	155	644	644	NUM
aps-38	265	156	899	899	NUM
aps-38	265	157	769	769	NUM
aps-38	265	158	779	779	NUM
aps-38	265	159	714	714	NUM
aps-38	265	160	1716	1716	NUM
aps-38	265	161	1034	1034	NUM
aps-38	265	162	1618	1618	NUM
aps-38	265	163	695	695	NUM
aps-38	265	164	1321	1321	NUM
aps-38	265	165	569	569	NUM
aps-38	265	166	568	568	NUM
aps-38	265	167	2303	2303	NUM
aps-38	265	168	0	0	NUM
aps-38	265	169	618	618	NUM
aps-38	265	170	14247	14247	NUM
aps-38	265	171	8acte	8acte	NUM
aps-38	265	172	9622	9622	NUM
aps-38	265	173	6021	6021	NUM
aps-38	265	174	6070	6070	NUM
aps-38	265	175	5386	5386	NUM
aps-38	265	176	1939	1939	NUM
aps-38	265	177	1274	1274	NUM
aps-38	265	178	2285	2285	NUM
aps-38	265	179	1373	1373	NUM
aps-38	265	180	467	467	NUM
aps-38	265	181	523	523	NUM
aps-38	265	182	2631	2631	NUM
aps-38	265	183	2802	2802	NUM
aps-38	265	184	433	433	NUM
aps-38	265	185	712	712	NUM
aps-38	265	186	0	0	NUM
aps-38	265	187	41538	41538	NUM
aps-38	265	188	(	(	PUNCT
aps-38	265	189	all	all	PRON
aps-38	265	190	)	)	PUNCT
aps-38	265	191	101477	101477	NUM
aps-38	265	192	122454	122454	NUM
aps-38	265	193	138850	138850	NUM
aps-38	265	194	166733	166733	NUM
aps-38	265	195	68065	68065	NUM
aps-38	265	196	60641	60641	NUM
aps-38	265	197	90424	90424	NUM
aps-38	265	198	79699	79699	NUM
aps-38	265	199	31161	31161	NUM
aps-38	265	200	45187	45187	NUM
aps-38	265	201	83485	83485	NUM
aps-38	265	202	85157	85157	NUM
aps-38	265	203	34611	34611	NUM
aps-38	265	204	61237	61237	NUM
aps-38	265	205	144338	144338	NUM
aps-38	265	206	1313519	1313519	NUM
aps-38	265	207	australian	australian	ADJ
aps-38	265	208	population	population	NOUN
aps-38	265	209	studies	study	NOUN
aps-38	265	210	2	2	NUM
aps-38	265	211	(	(	PUNCT
aps-38	265	212	2	2	NUM
aps-38	265	213	)	)	PUNCT
aps-38	265	214	2018	2018	NUM
aps-38	265	215	dennett	dennett	PROPN
aps-38	265	216	53	53	NUM
aps-38	265	217	2.2.3	2.2.3	NUM
aps-38	265	218	.	.	PUNCT
aps-38	266	1	the	the	DET
aps-38	266	2	attraction	attraction	NOUN
aps-38	266	3	constrained	constrain	VERB
aps-38	266	4	model	model	NOUN
aps-38	266	5	the	the	DET
aps-38	266	6	attraction	attraction	NOUN
aps-38	266	7	constrained	constrain	VERB
aps-38	266	8	model	model	NOUN
aps-38	266	9	is	be	AUX
aps-38	266	10	virtually	virtually	ADV
aps-38	266	11	the	the	DET
aps-38	266	12	same	same	ADJ
aps-38	266	13	as	as	ADP
aps-38	266	14	the	the	DET
aps-38	266	15	production	production	NOUN
aps-38	266	16	constrained	constrain	VERB
aps-38	266	17	model	model	NOUN
aps-38	266	18	:	:	PUNCT
aps-38	267	1	𝑇𝑇𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	267	2	=	=	PUNCT
aps-38	267	3	𝐷𝐷𝑖𝑖𝐵𝐵𝑖𝑖𝑉𝑉𝑖𝑖	𝐷𝐷𝑖𝑖𝐵𝐵𝑖𝑖𝑉𝑉𝑖𝑖	ADJ
aps-38	267	4	𝜇𝜇𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	𝜇𝜇𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	NOUN
aps-38	267	5	(	(	PUNCT
aps-38	267	6	11	11	NUM
aps-38	267	7	)	)	PUNCT
aps-38	267	8	where	where	SCONJ
aps-38	267	9	:	:	PUNCT
aps-38	267	10	𝐷𝐷𝑖𝑖	𝐷𝐷𝑖𝑖	PROPN
aps-38	267	11	=	=	SYM
aps-38	267	12	∑	∑	PUNCT
aps-38	268	1	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	PROPN
aps-38	268	2	(	(	PUNCT
aps-38	268	3	12	12	NUM
aps-38	268	4	)	)	PUNCT
aps-38	268	5	and	and	CCONJ
aps-38	268	6	:	:	PUNCT
aps-38	268	7	𝐵𝐵𝑖𝑖	𝐵𝐵𝑖𝑖	X
aps-38	268	8	=	=	PUNCT
aps-38	268	9	1	1	NUM
aps-38	268	10	∑	∑	ADP
aps-38	268	11	𝑉𝑉𝑖𝑖	𝑉𝑉𝑖𝑖	PROPN
aps-38	268	12	𝜇𝜇	𝜇𝜇	ADP
aps-38	268	13	𝑖𝑖	𝑖𝑖	ADP
aps-38	268	14	𝑑𝑑𝑖𝑖𝑗𝑗	𝑑𝑑𝑖𝑖𝑗𝑗	NOUN
aps-38	268	15	−𝛽𝛽	−𝛽𝛽	PROPN
aps-38	268	16	(	(	PUNCT
aps-38	268	17	13	13	NUM
aps-38	268	18	)	)	PUNCT
aps-38	268	19	the	the	DET
aps-38	268	20	poisson	poisson	PROPN
aps-38	268	21	model	model	NOUN
aps-38	268	22	equation	equation	NOUN
aps-38	268	23	for	for	ADP
aps-38	268	24	the	the	DET
aps-38	268	25	attraction	attraction	NOUN
aps-38	268	26	constrained	constrain	VERB
aps-38	268	27	model	model	NOUN
aps-38	268	28	would	would	AUX
aps-38	268	29	be	be	AUX
aps-38	268	30	:	:	PUNCT
aps-38	268	31	𝜆𝜆𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖	ADJ
aps-38	268	32	=	=	PUNCT
aps-38	268	33	𝑒𝑒𝑒𝑒𝑒𝑒(𝜇𝜇ln𝑉𝑉𝑖𝑖	𝑒𝑒𝑒𝑒𝑒𝑒(𝜇𝜇ln𝑉𝑉𝑖𝑖	PROPN
aps-38	269	1	+	+	CCONJ
aps-38	269	2	𝛼𝛼𝑖𝑖	𝛼𝛼𝑖𝑖	ADJ
aps-38	269	3	−	−	NOUN
aps-38	269	4	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	NOUN
aps-38	269	5	)	)	PUNCT
aps-38	269	6	(	(	PUNCT
aps-38	269	7	14	14	NUM
aps-38	269	8	)	)	PUNCT
aps-38	269	9	its	its	PRON
aps-38	269	10	implementation	implementation	NOUN
aps-38	269	11	in	in	ADP
aps-38	269	12	r	r	NOUN
aps-38	269	13	is	be	AUX
aps-38	269	14	virtually	virtually	ADV
aps-38	269	15	identical	identical	ADJ
aps-38	269	16	to	to	ADP
aps-38	269	17	the	the	DET
aps-38	269	18	production	production	NOUN
aps-38	269	19	constrained	constrain	VERB
aps-38	269	20	model	model	NOUN
aps-38	269	21	.	.	PUNCT
aps-38	270	1	see	see	VERB
aps-38	270	2	the	the	DET
aps-38	270	3	accompanying	accompany	VERB
aps-38	270	4	walk	walk	NOUN
aps-38	270	5	-	-	PUNCT
aps-38	270	6	through	through	ADP
aps-38	270	7	exercise	exercise	NOUN
aps-38	270	8	for	for	ADP
aps-38	270	9	full	full	ADJ
aps-38	270	10	details	detail	NOUN
aps-38	270	11	of	of	ADP
aps-38	270	12	how	how	SCONJ
aps-38	270	13	to	to	PART
aps-38	270	14	run	run	VERB
aps-38	270	15	these	these	DET
aps-38	270	16	models	model	NOUN
aps-38	270	17	with	with	ADP
aps-38	270	18	the	the	DET
aps-38	270	19	sample	sample	NOUN
aps-38	270	20	dataset	dataset	NOUN
aps-38	270	21	.	.	PUNCT
aps-38	271	1	because	because	SCONJ
aps-38	271	2	of	of	ADP
aps-38	271	3	the	the	DET
aps-38	271	4	similarities	similarity	NOUN
aps-38	271	5	to	to	ADP
aps-38	271	6	the	the	DET
aps-38	271	7	production	production	NOUN
aps-38	271	8	constrained	constrain	VERB
aps-38	271	9	model	model	NOUN
aps-38	271	10	,	,	PUNCT
aps-38	271	11	the	the	DET
aps-38	271	12	attraction	attraction	NOUN
aps-38	271	13	constrained	constrain	VERB
aps-38	271	14	model	model	NOUN
aps-38	271	15	will	will	AUX
aps-38	271	16	not	not	PART
aps-38	271	17	be	be	AUX
aps-38	271	18	dwelt	dwelt	ADJ
aps-38	271	19	upon	upon	SCONJ
aps-38	271	20	here	here	ADV
aps-38	271	21	.	.	PUNCT
aps-38	272	1	2.2.3	2.2.3	X
aps-38	272	2	.	.	PUNCT
aps-38	273	1	the	the	DET
aps-38	273	2	doubly	doubly	ADV
aps-38	273	3	constrained	constrain	VERB
aps-38	273	4	model	model	NOUN
aps-38	273	5	the	the	DET
aps-38	273	6	final	final	ADJ
aps-38	273	7	model	model	NOUN
aps-38	273	8	in	in	ADP
aps-38	273	9	the	the	DET
aps-38	273	10	wilson	wilson	PROPN
aps-38	273	11	(	(	PUNCT
aps-38	273	12	1971	1971	NUM
aps-38	273	13	)	)	PUNCT
aps-38	273	14	family	family	NOUN
aps-38	273	15	is	be	AUX
aps-38	273	16	the	the	DET
aps-38	273	17	doubly	doubly	ADV
aps-38	273	18	constrained	constrain	VERB
aps-38	273	19	model	model	NOUN
aps-38	273	20	.	.	PUNCT
aps-38	274	1	let	let	VERB
aps-38	274	2	’s	’s	NOUN
aps-38	274	3	begin	begin	VERB
aps-38	274	4	with	with	ADP
aps-38	274	5	the	the	DET
aps-38	274	6	formula	formula	NOUN
aps-38	274	7	:	:	PUNCT
aps-38	274	8	𝑇𝑇𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖	PROPN
aps-38	274	9	=	=	SYM
aps-38	274	10	𝐴𝐴𝑖𝑖𝑂𝑂𝑖𝑖𝐵𝐵𝑖𝑖𝐷𝐷𝑖𝑖𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	𝐴𝐴𝑖𝑖𝑂𝑂𝑖𝑖𝐵𝐵𝑖𝑖𝐷𝐷𝑖𝑖𝑑𝑑𝑖𝑖𝑖𝑖−𝛽𝛽	PROPN
aps-38	274	11	(	(	PUNCT
aps-38	274	12	15	15	NUM
aps-38	274	13	)	)	PUNCT
aps-38	274	14	where	where	SCONJ
aps-38	274	15	:	:	PUNCT
aps-38	274	16	𝑂𝑂𝑖𝑖	𝑂𝑂𝑖𝑖	PUNCT
aps-38	274	17	=	=	PUNCT
aps-38	274	18	∑	∑	PUNCT
aps-38	275	1	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	PROPN
aps-38	275	2	(	(	PUNCT
aps-38	275	3	16	16	NUM
aps-38	275	4	)	)	PUNCT
aps-38	275	5	𝐷𝐷𝑖𝑖	𝐷𝐷𝑖𝑖	PROPN
aps-38	275	6	=	=	PRON
aps-38	275	7	∑	∑	PUNCT
aps-38	275	8	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	𝑇𝑇𝑖𝑖𝑖𝑖𝑖𝑖	PROPN
aps-38	275	9	(	(	PUNCT
aps-38	275	10	17	17	NUM
aps-38	275	11	)	)	PUNCT
aps-38	275	12	and	and	CCONJ
aps-38	275	13	:	:	PUNCT
aps-38	275	14	𝐴𝐴𝑖𝑖	𝐴𝐴𝑖𝑖	PROPN
aps-38	275	15	=	=	PUNCT
aps-38	275	16	1	1	NUM
aps-38	275	17	∑	∑	PUNCT
aps-38	275	18	𝐵𝐵𝑗𝑗𝑗𝑗	𝐵𝐵𝑗𝑗𝑗𝑗	PROPN
aps-38	275	19	𝐷𝐷𝑗𝑗𝑑𝑑𝑖𝑖𝑗𝑗	𝐷𝐷𝑗𝑗𝑑𝑑𝑖𝑖𝑗𝑗	PROPN
aps-38	275	20	−𝛽𝛽	−𝛽𝛽	NUM
aps-38	275	21	(	(	PUNCT
aps-38	275	22	19	19	NUM
aps-38	275	23	)	)	PUNCT
aps-38	275	24	𝐵𝐵𝑖𝑖	𝐵𝐵𝑖𝑖	NOUN
aps-38	275	25	=	=	PUNCT
aps-38	275	26	1	1	NUM
aps-38	275	27	∑	∑	PUNCT
aps-38	275	28	𝐴𝐴𝑖𝑖𝑖𝑖	𝐴𝐴𝑖𝑖𝑖𝑖	PROPN
aps-38	275	29	𝑂𝑂𝑖𝑖𝑑𝑑𝑖𝑖𝑗𝑗	𝑂𝑂𝑖𝑖𝑑𝑑𝑖𝑖𝑗𝑗	PROPN
aps-38	275	30	−𝛽𝛽	−𝛽𝛽	PROPN
aps-38	275	31	(	(	PUNCT
aps-38	275	32	20	20	NUM
aps-38	275	33	)	)	PUNCT
aps-38	275	34	astute	astute	ADJ
aps-38	275	35	readers	reader	NOUN
aps-38	275	36	will	will	AUX
aps-38	275	37	have	have	AUX
aps-38	275	38	noticed	notice	VERB
aps-38	275	39	that	that	SCONJ
aps-38	275	40	the	the	DET
aps-38	275	41	calculation	calculation	NOUN
aps-38	275	42	of	of	ADP
aps-38	275	43	𝐴𝐴𝑖𝑖	𝐴𝐴𝑖𝑖	PROPN
aps-38	275	44	relies	rely	VERB
aps-38	275	45	on	on	ADP
aps-38	275	46	knowing	know	VERB
aps-38	275	47	𝐵𝐵𝑖𝑖	𝐵𝐵𝑖𝑖	PROPN
aps-38	275	48	and	and	CCONJ
aps-38	275	49	the	the	DET
aps-38	275	50	calculation	calculation	NOUN
aps-38	275	51	of	of	ADP
aps-38	275	52	𝐵𝐵𝑖𝑖	𝐵𝐵𝑖𝑖	PROPN
aps-38	275	53	relies	rely	VERB
aps-38	275	54	on	on	ADP
aps-38	275	55	knowing	know	VERB
aps-38	275	56	𝐴𝐴𝑖𝑖	𝐴𝐴𝑖𝑖	PROPN
aps-38	275	57	–	–	PUNCT
aps-38	275	58	something	something	PRON
aps-38	275	59	of	of	ADP
aps-38	275	60	a	a	DET
aps-38	275	61	conundrum	conundrum	NOUN
aps-38	275	62	to	to	PART
aps-38	275	63	which	which	PRON
aps-38	275	64	the	the	DET
aps-38	275	65	solution	solution	NOUN
aps-38	275	66	is	be	AUX
aps-38	275	67	elegantly	elegantly	ADV
aps-38	275	68	described	describe	VERB
aps-38	275	69	by	by	ADP
aps-38	275	70	senior	senior	ADJ
aps-38	275	71	(	(	PUNCT
aps-38	275	72	1979	1979	NUM
aps-38	275	73	)	)	PUNCT
aps-38	275	74	,	,	PUNCT
aps-38	275	75	who	who	PRON
aps-38	275	76	sketches	sketch	VERB
aps-38	275	77	out	out	ADP
aps-38	275	78	a	a	DET
aps-38	275	79	very	very	ADV
aps-38	275	80	useful	useful	ADJ
aps-38	275	81	algorithm	algorithm	NOUN
aps-38	275	82	for	for	ADP
aps-38	275	83	iteratively	iteratively	ADV
aps-38	275	84	arriving	arrive	VERB
aps-38	275	85	at	at	ADP
aps-38	275	86	values	value	NOUN
aps-38	275	87	for	for	ADP
aps-38	275	88	𝐴𝐴𝑖𝑖	𝐴𝐴𝑖𝑖	PROPN
aps-38	275	89	and	and	CCONJ
aps-38	275	90	𝐵𝐵𝑖𝑖	𝐵𝐵𝑖𝑖	NUM
aps-38	275	91	by	by	ADP
aps-38	275	92	setting	set	VERB
aps-38	275	93	each	each	PRON
aps-38	275	94	to	to	PART
aps-38	275	95	equal	equal	VERB
aps-38	275	96	1	1	NUM
aps-38	275	97	initially	initially	ADV
aps-38	275	98	and	and	CCONJ
aps-38	275	99	then	then	ADV
aps-38	275	100	continuing	continue	VERB
aps-38	275	101	to	to	PART
aps-38	275	102	calculate	calculate	VERB
aps-38	275	103	each	each	PRON
aps-38	275	104	in	in	ADP
aps-38	275	105	turn	turn	NOUN
aps-38	275	106	until	until	ADP
aps-38	275	107	the	the	DET
aps-38	275	108	difference	difference	NOUN
aps-38	275	109	between	between	ADP
aps-38	275	110	successive	successive	ADJ
aps-38	275	111	iterations	iteration	NOUN
aps-38	275	112	of	of	ADP
aps-38	275	113	the	the	DET
aps-38	275	114	𝐴𝐴𝑖𝑖	𝐴𝐴𝑖𝑖	PROPN
aps-38	275	115	and	and	CCONJ
aps-38	275	116	𝐵𝐵𝑖𝑖	𝐵𝐵𝑖𝑖	PROPN
aps-38	275	117	values	value	NOUN
aps-38	275	118	is	be	AUX
aps-38	275	119	small	small	ADJ
aps-38	275	120	enough	enough	ADV
aps-38	275	121	not	not	PART
aps-38	275	122	to	to	PART
aps-38	275	123	matter	matter	VERB
aps-38	275	124	.	.	PUNCT
aps-38	276	1	in	in	ADP
aps-38	276	2	the	the	DET
aps-38	276	3	accompanying	accompanying	ADJ
aps-38	276	4	practical	practical	ADJ
aps-38	276	5	guide	guide	NOUN
aps-38	276	6	an	an	DET
aps-38	276	7	algorithm	algorithm	NOUN
aps-38	276	8	to	to	PART
aps-38	276	9	achieve	achieve	VERB
aps-38	276	10	this	this	PRON
aps-38	276	11	using	use	VERB
aps-38	276	12	this	this	DET
aps-38	276	13	multiplicative	multiplicative	ADJ
aps-38	276	14	framework	framework	NOUN
aps-38	276	15	is	be	AUX
aps-38	276	16	provided	provide	VERB
aps-38	276	17	.	.	PUNCT
aps-38	277	1	however	however	ADV
aps-38	277	2	,	,	PUNCT
aps-38	277	3	as	as	SCONJ
aps-38	277	4	you	you	PRON
aps-38	277	5	will	will	AUX
aps-38	277	6	have	have	AUX
aps-38	277	7	probably	probably	ADV
aps-38	277	8	guessed	guess	VERB
aps-38	277	9	by	by	ADP
aps-38	277	10	now	now	ADV
aps-38	277	11	,	,	PUNCT
aps-38	277	12	the	the	DET
aps-38	277	13	poisson	poisson	NOUN
aps-38	277	14	regression	regression	NOUN
aps-38	277	15	framework	framework	NOUN
aps-38	277	16	allows	allow	VERB
aps-38	277	17	for	for	SCONJ
aps-38	277	18	the	the	DET
aps-38	277	19	doubly	doubly	ADV
aps-38	277	20	constrained	constrain	VERB
aps-38	277	21	model	model	NOUN
aps-38	277	22	to	to	PART
aps-38	277	23	be	be	AUX
aps-38	277	24	fitted	fit	VERB
aps-38	277	25	very	very	ADV
aps-38	277	26	easily	easily	ADV
aps-38	277	27	.	.	PUNCT
aps-38	278	1	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	PUNCT
aps-38	278	2	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	SYM
aps-38	278	3	54	54	NUM
aps-38	278	4	dennett	dennett	PROPN
aps-38	278	5	australian	australian	ADJ
aps-38	278	6	population	population	NOUN
aps-38	278	7	studies	study	NOUN
aps-38	278	8	2	2	NUM
aps-38	278	9	(	(	PUNCT
aps-38	278	10	2	2	NUM
aps-38	278	11	)	)	PUNCT
aps-38	278	12	2018	2018	NUM
aps-38	278	13	the	the	DET
aps-38	278	14	poisson	poisson	NOUN
aps-38	278	15	doubly	doubly	ADV
aps-38	278	16	constrained	constrain	VERB
aps-38	278	17	model	model	NOUN
aps-38	278	18	takes	take	VERB
aps-38	278	19	the	the	DET
aps-38	278	20	form	form	NOUN
aps-38	278	21	:	:	PUNCT
aps-38	278	22	𝜆𝜆𝑖𝑖𝑖𝑖	𝜆𝜆𝑖𝑖𝑖𝑖	NOUN
aps-38	278	23	=	=	PUNCT
aps-38	278	24	𝑒𝑒𝑒𝑒𝑒𝑒(𝜇𝜇𝑖𝑖	𝑒𝑒𝑒𝑒𝑒𝑒(𝜇𝜇𝑖𝑖	PROPN
aps-38	278	25	+	+	CCONJ
aps-38	278	26	𝛼𝛼𝑖𝑖	𝛼𝛼𝑖𝑖	ADJ
aps-38	278	27	−	−	NOUN
aps-38	278	28	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	𝛽𝛽ln𝑑𝑑𝑖𝑖𝑖𝑖	NOUN
aps-38	278	29	)	)	PUNCT
aps-38	278	30	(	(	PUNCT
aps-38	278	31	21	21	NUM
aps-38	278	32	)	)	PUNCT
aps-38	278	33	when	when	SCONJ
aps-38	278	34	run	run	VERB
aps-38	278	35	in	in	ADP
aps-38	278	36	r	r	NOUN
aps-38	278	37	and	and	CCONJ
aps-38	278	38	applied	apply	VERB
aps-38	278	39	to	to	ADP
aps-38	278	40	the	the	DET
aps-38	278	41	australian	australian	ADJ
aps-38	278	42	migration	migration	NOUN
aps-38	278	43	data	datum	NOUN
aps-38	278	44	we	we	PRON
aps-38	278	45	have	have	AUX
aps-38	278	46	been	be	AUX
aps-38	278	47	using	use	VERB
aps-38	278	48	,	,	PUNCT
aps-38	278	49	this	this	DET
aps-38	278	50	model	model	NOUN
aps-38	278	51	will	will	AUX
aps-38	278	52	produce	produce	VERB
aps-38	278	53	the	the	DET
aps-38	278	54	outputs	output	NOUN
aps-38	278	55	shown	show	VERB
aps-38	278	56	in	in	ADP
aps-38	278	57	box	box	PROPN
aps-38	278	58	3	3	NUM
aps-38	278	59	.	.	PUNCT
aps-38	279	1	the	the	DET
aps-38	279	2	coefficients	coefficient	NOUN
aps-38	279	3	in	in	ADP
aps-38	279	4	this	this	DET
aps-38	279	5	version	version	NOUN
aps-38	279	6	of	of	ADP
aps-38	279	7	the	the	DET
aps-38	279	8	doubly	doubly	ADV
aps-38	279	9	constrained	constrain	VERB
aps-38	279	10	model	model	NOUN
aps-38	279	11	will	will	AUX
aps-38	279	12	look	look	VERB
aps-38	279	13	a	a	DET
aps-38	279	14	little	little	ADJ
aps-38	279	15	different	different	ADJ
aps-38	279	16	.	.	PUNCT
aps-38	280	1	this	this	PRON
aps-38	280	2	is	be	AUX
aps-38	280	3	explained	explain	VERB
aps-38	280	4	in	in	ADP
aps-38	280	5	the	the	DET
aps-38	280	6	accompanying	accompany	VERB
aps-38	280	7	walk	walk	NOUN
aps-38	280	8	-	-	PUNCT
aps-38	280	9	through	through	ADP
aps-38	280	10	exercise	exercise	NOUN
aps-38	280	11	and	and	CCONJ
aps-38	280	12	is	be	AUX
aps-38	280	13	because	because	SCONJ
aps-38	280	14	an	an	DET
aps-38	280	15	intercept	intercept	NOUN
aps-38	280	16	has	have	AUX
aps-38	280	17	been	be	AUX
aps-38	280	18	added	add	VERB
aps-38	280	19	along	along	ADP
aps-38	280	20	with	with	ADP
aps-38	280	21	reference	reference	NOUN
aps-38	280	22	categories	category	NOUN
aps-38	280	23	for	for	ADP
aps-38	280	24	the	the	DET
aps-38	280	25	categorical	categorical	ADJ
aps-38	280	26	variables	variable	NOUN
aps-38	280	27	,	,	PUNCT
aps-38	280	28	as	as	SCONJ
aps-38	280	29	two	two	NUM
aps-38	280	30	factor	factor	NOUN
aps-38	280	31	levels	level	NOUN
aps-38	280	32	are	be	AUX
aps-38	280	33	used	use	VERB
aps-38	280	34	in	in	ADP
aps-38	280	35	this	this	DET
aps-38	280	36	model	model	NOUN
aps-38	280	37	.	.	PUNCT
aps-38	281	1	importantly	importantly	ADV
aps-38	281	2	the	the	DET
aps-38	281	3	model	model	NOUN
aps-38	281	4	estimates	estimate	NOUN
aps-38	281	5	are	be	AUX
aps-38	281	6	not	not	PART
aps-38	281	7	altered	alter	VERB
aps-38	281	8	in	in	ADP
aps-38	281	9	any	any	DET
aps-38	281	10	way	way	NOUN
aps-38	281	11	by	by	ADP
aps-38	281	12	this	this	PRON
aps-38	281	13	.	.	PUNCT
aps-38	282	1	the	the	DET
aps-38	282	2	reference	reference	NOUN
aps-38	282	3	level	level	NOUN
aps-38	282	4	means	mean	VERB
aps-38	282	5	that	that	SCONJ
aps-38	282	6	the	the	DET
aps-38	282	7	origin	origin	NOUN
aps-38	282	8	and	and	CCONJ
aps-38	282	9	destination	destination	NOUN
aps-38	282	10	coefficients	coefficient	NOUN
aps-38	282	11	need	need	VERB
aps-38	282	12	to	to	PART
aps-38	282	13	be	be	AUX
aps-38	282	14	interpreted	interpret	VERB
aps-38	282	15	in	in	ADP
aps-38	282	16	relation	relation	NOUN
aps-38	282	17	to	to	ADP
aps-38	282	18	a	a	DET
aps-38	282	19	reference	reference	NOUN
aps-38	282	20	category	category	NOUN
aps-38	282	21	.	.	PUNCT
aps-38	283	1	in	in	ADP
aps-38	283	2	this	this	DET
aps-38	283	3	example	example	NOUN
aps-38	283	4	,	,	PUNCT
aps-38	283	5	the	the	DET
aps-38	283	6	first	first	ADJ
aps-38	283	7	zone	zone	NOUN
aps-38	283	8	in	in	ADP
aps-38	283	9	the	the	DET
aps-38	283	10	system	system	NOUN
aps-38	283	11	is	be	AUX
aps-38	283	12	used	use	VERB
aps-38	283	13	(	(	PUNCT
aps-38	283	14	sydney	sydney	PROPN
aps-38	283	15	)	)	PUNCT
aps-38	283	16	,	,	PUNCT
aps-38	283	17	with	with	ADP
aps-38	283	18	the	the	DET
aps-38	283	19	direction	direction	NOUN
aps-38	283	20	and	and	CCONJ
aps-38	283	21	size	size	NOUN
aps-38	283	22	of	of	ADP
aps-38	283	23	the	the	DET
aps-38	283	24	coefficients	coefficient	NOUN
aps-38	283	25	referring	refer	VERB
aps-38	283	26	to	to	ADP
aps-38	283	27	whether	whether	SCONJ
aps-38	283	28	another	another	DET
aps-38	283	29	origin	origin	NOUN
aps-38	283	30	or	or	CCONJ
aps-38	283	31	destination	destination	NOUN
aps-38	283	32	zone	zone	NOUN
aps-38	283	33	has	have	AUX
aps-38	283	34	a	a	DET
aps-38	283	35	greater	great	ADJ
aps-38	283	36	or	or	CCONJ
aps-38	283	37	lesser	lesser	ADV
aps-38	283	38	positive	positive	ADJ
aps-38	283	39	or	or	CCONJ
aps-38	283	40	negative	negative	ADJ
aps-38	283	41	effect	effect	NOUN
aps-38	283	42	on	on	ADP
aps-38	283	43	migration	migration	NOUN
aps-38	283	44	flows	flow	NOUN
aps-38	283	45	in	in	ADP
aps-38	283	46	the	the	DET
aps-38	283	47	system	system	NOUN
aps-38	283	48	when	when	SCONJ
aps-38	283	49	compared	compare	VERB
aps-38	283	50	to	to	ADP
aps-38	283	51	sydney	sydney	PROPN
aps-38	283	52	.	.	PUNCT
aps-38	284	1	the	the	DET
aps-38	284	2	estimates	estimate	NOUN
aps-38	284	3	produced	produce	VERB
aps-38	284	4	by	by	ADP
aps-38	284	5	the	the	DET
aps-38	284	6	doubly	doubly	ADV
aps-38	284	7	constrained	constrain	VERB
aps-38	284	8	model	model	NOUN
aps-38	284	9	are	be	AUX
aps-38	284	10	the	the	DET
aps-38	284	11	most	most	ADV
aps-38	284	12	accurate	accurate	ADJ
aps-38	284	13	in	in	ADP
aps-38	284	14	the	the	DET
aps-38	284	15	wilson	wilson	PROPN
aps-38	284	16	family	family	NOUN
aps-38	284	17	of	of	ADP
aps-38	284	18	models	model	NOUN
aps-38	284	19	(	(	PUNCT
aps-38	284	20	in	in	ADP
aps-38	284	21	this	this	DET
aps-38	284	22	example	example	NOUN
aps-38	284	23	,	,	PUNCT
aps-38	284	24	an	an	DET
aps-38	284	25	r2	r2	NOUN
aps-38	284	26	value	value	NOUN
aps-38	284	27	of	of	ADP
aps-38	284	28	0.87	0.87	NUM
aps-38	284	29	)	)	PUNCT
aps-38	284	30	.	.	PUNCT
aps-38	285	1	however	however	ADV
aps-38	285	2	,	,	PUNCT
aps-38	285	3	there	there	PRON
aps-38	285	4	is	be	VERB
aps-38	285	5	a	a	DET
aps-38	285	6	loss	loss	NOUN
aps-38	285	7	of	of	ADP
aps-38	285	8	flexibility	flexibility	NOUN
aps-38	285	9	when	when	SCONJ
aps-38	285	10	compared	compare	VERB
aps-38	285	11	to	to	ADP
aps-38	285	12	the	the	DET
aps-38	285	13	singly	singly	ADV
aps-38	285	14	constrained	constrain	VERB
aps-38	285	15	models	model	NOUN
aps-38	285	16	,	,	PUNCT
aps-38	285	17	as	as	SCONJ
aps-38	285	18	only	only	ADV
aps-38	285	19	alternatives	alternative	NOUN
aps-38	285	20	to	to	ADP
aps-38	285	21	origin	origin	NOUN
aps-38	285	22	/	/	SYM
aps-38	285	23	destination	destination	NOUN
aps-38	285	24	interaction	interaction	NOUN
aps-38	285	25	explanatory	explanatory	ADJ
aps-38	285	26	variables	variable	NOUN
aps-38	285	27	such	such	ADJ
aps-38	285	28	as	as	ADP
aps-38	285	29	historic	historic	ADJ
aps-38	285	30	flows	flow	NOUN
aps-38	285	31	or	or	CCONJ
aps-38	285	32	something	something	PRON
aps-38	285	33	other	other	ADJ
aps-38	285	34	than	than	ADP
aps-38	285	35	distance	distance	NOUN
aps-38	285	36	can	can	AUX
aps-38	285	37	be	be	AUX
aps-38	285	38	experimented	experiment	VERB
aps-38	285	39	with	with	ADP
aps-38	285	40	.	.	PUNCT
aps-38	286	1	the	the	DET
aps-38	286	2	double	double	ADJ
aps-38	286	3	constraints	constraint	NOUN
aps-38	286	4	mean	mean	VERB
aps-38	286	5	that	that	SCONJ
aps-38	286	6	originand	originand	PROPN
aps-38	286	7	destination	destination	NOUN
aps-38	286	8	-	-	PUNCT
aps-38	286	9	specific	specific	ADJ
aps-38	286	10	explanatory	explanatory	ADJ
aps-38	286	11	variables	variable	NOUN
aps-38	286	12	can	can	AUX
aps-38	286	13	not	not	PART
aps-38	286	14	be	be	AUX
aps-38	286	15	used	use	VERB
aps-38	286	16	.	.	PUNCT
aps-38	287	1	2.2.4	2.2.4	X
aps-38	287	2	.	.	PUNCT
aps-38	287	3	further	further	ADJ
aps-38	287	4	experimentation	experimentation	NOUN
aps-38	287	5	all	all	PRON
aps-38	287	6	of	of	ADP
aps-38	287	7	the	the	DET
aps-38	287	8	way	way	NOUN
aps-38	287	9	through	through	ADP
aps-38	287	10	this	this	DET
aps-38	287	11	paper	paper	NOUN
aps-38	287	12	there	there	PRON
aps-38	287	13	has	have	AUX
aps-38	287	14	been	be	AUX
aps-38	287	15	an	an	DET
aps-38	287	16	assumption	assumption	NOUN
aps-38	287	17	that	that	SCONJ
aps-38	287	18	the	the	DET
aps-38	287	19	distance	distance	NOUN
aps-38	287	20	decay	decay	NOUN
aps-38	287	21	parameter	parameter	NOUN
aps-38	287	22	follows	follow	VERB
aps-38	287	23	a	a	DET
aps-38	287	24	negative	negative	ADJ
aps-38	287	25	power	power	NOUN
aps-38	287	26	law	law	NOUN
aps-38	287	27	.	.	PUNCT
aps-38	288	1	this	this	PRON
aps-38	288	2	does	do	AUX
aps-38	288	3	not	not	PART
aps-38	288	4	have	have	VERB
aps-38	288	5	to	to	PART
aps-38	288	6	be	be	AUX
aps-38	288	7	the	the	DET
aps-38	288	8	case	case	NOUN
aps-38	288	9	and	and	CCONJ
aps-38	288	10	empirically	empirically	ADV
aps-38	288	11	might	might	AUX
aps-38	288	12	not	not	PART
aps-38	288	13	necessarily	necessarily	ADV
aps-38	288	14	be	be	AUX
aps-38	288	15	so	so	ADV
aps-38	288	16	.	.	PUNCT
aps-38	289	1	in	in	ADP
aps-38	289	2	his	his	PRON
aps-38	289	3	original	original	ADJ
aps-38	289	4	paper	paper	NOUN
aps-38	289	5	,	,	PUNCT
aps-38	289	6	wilson	wilson	PROPN
aps-38	289	7	(	(	PUNCT
aps-38	289	8	1971	1971	NUM
aps-38	289	9	)	)	PUNCT
aps-38	289	10	generalised	generalise	VERB
aps-38	289	11	the	the	DET
aps-38	289	12	distance	distance	NOUN
aps-38	289	13	decay	decay	NOUN
aps-38	289	14	parameter	parameter	NOUN
aps-38	289	15	to	to	ADP
aps-38	289	16	:	:	PUNCT
aps-38	289	17	𝑓𝑓(𝑑𝑑𝑖𝑖𝑖𝑖	𝑓𝑓(𝑑𝑑𝑖𝑖𝑖𝑖	NUM
aps-38	289	18	)	)	PUNCT
aps-38	289	19	(	(	PUNCT
aps-38	289	20	22	22	NUM
aps-38	289	21	)	)	PUNCT
aps-38	289	22	where	where	SCONJ
aps-38	289	23	𝑓𝑓	𝑓𝑓	NOUN
aps-38	289	24	represents	represent	VERB
aps-38	289	25	some	some	DET
aps-38	289	26	function	function	NOUN
aps-38	289	27	of	of	ADP
aps-38	289	28	distance	distance	NOUN
aps-38	289	29	describing	describe	VERB
aps-38	289	30	the	the	DET
aps-38	289	31	rate	rate	NOUN
aps-38	289	32	at	at	ADP
aps-38	289	33	which	which	PRON
aps-38	289	34	the	the	DET
aps-38	289	35	flow	flow	NOUN
aps-38	289	36	interactions	interaction	NOUN
aps-38	289	37	change	change	VERB
aps-38	289	38	as	as	ADP
aps-38	289	39	distance	distance	NOUN
aps-38	289	40	increases	increase	NOUN
aps-38	289	41	.	.	PUNCT
aps-38	290	1	lots	lot	NOUN
aps-38	290	2	of	of	ADP
aps-38	290	3	people	people	NOUN
aps-38	290	4	have	have	AUX
aps-38	290	5	written	write	VERB
aps-38	290	6	about	about	ADP
aps-38	290	7	this	this	PRON
aps-38	290	8	,	,	PUNCT
aps-38	290	9	including	include	VERB
aps-38	290	10	taylor	taylor	PROPN
aps-38	290	11	(	(	PUNCT
aps-38	290	12	1983	1983	NUM
aps-38	290	13	)	)	PUNCT
aps-38	290	14	and	and	CCONJ
aps-38	290	15	more	more	ADV
aps-38	290	16	recently	recently	ADV
aps-38	290	17	lovelace	lovelace	PROPN
aps-38	290	18	(	(	PUNCT
aps-38	290	19	2015	2015	NUM
aps-38	290	20	)	)	PUNCT
aps-38	290	21	in	in	ADP
aps-38	290	22	a	a	DET
aps-38	290	23	transport	transport	NOUN
aps-38	290	24	context	context	NOUN
aps-38	290	25	.	.	PUNCT
aps-38	291	1	the	the	DET
aps-38	291	2	inverse	inverse	NOUN
aps-38	291	3	power	power	NOUN
aps-38	291	4	law	law	NOUN
aps-38	291	5	that	that	PRON
aps-38	291	6	has	have	AUX
aps-38	291	7	been	be	AUX
aps-38	291	8	used	use	VERB
aps-38	291	9	to	to	ADP
aps-38	291	10	this	this	DET
aps-38	291	11	point	point	NOUN
aps-38	291	12	is	be	AUX
aps-38	291	13	one	one	NUM
aps-38	291	14	possible	possible	ADJ
aps-38	291	15	function	function	NOUN
aps-38	291	16	of	of	ADP
aps-38	291	17	distance	distance	NOUN
aps-38	291	18	;	;	PUNCT
aps-38	291	19	the	the	DET
aps-38	291	20	other	other	ADJ
aps-38	291	21	common	common	ADJ
aps-38	291	22	one	one	NOUN
aps-38	291	23	that	that	PRON
aps-38	291	24	is	be	AUX
aps-38	291	25	used	use	VERB
aps-38	291	26	is	be	AUX
aps-38	291	27	the	the	DET
aps-38	291	28	negative	negative	ADJ
aps-38	291	29	exponential	exponential	ADJ
aps-38	291	30	function	function	NOUN
aps-38	291	31	:	:	PUNCT
aps-38	291	32	𝑒𝑒𝑒𝑒𝑒𝑒(−𝛽𝛽𝑑𝑑𝑖𝑖𝑖𝑖	𝑒𝑒𝑒𝑒𝑒𝑒(−𝛽𝛽𝑑𝑑𝑖𝑖𝑖𝑖	NUM
aps-38	291	33	)	)	PUNCT
aps-38	291	34	(	(	PUNCT
aps-38	291	35	23	23	NUM
aps-38	291	36	)	)	PUNCT
aps-38	291	37	the	the	DET
aps-38	291	38	exact	exact	ADJ
aps-38	291	39	effect	effect	NOUN
aps-38	291	40	that	that	SCONJ
aps-38	291	41	the	the	DET
aps-38	291	42	different	different	ADJ
aps-38	291	43	function	function	NOUN
aps-38	291	44	has	have	AUX
aps-38	291	45	on	on	ADP
aps-38	291	46	the	the	DET
aps-38	291	47	rate	rate	NOUN
aps-38	291	48	of	of	ADP
aps-38	291	49	distance	distance	NOUN
aps-38	291	50	decay	decay	NOUN
aps-38	291	51	will	will	AUX
aps-38	291	52	depend	depend	VERB
aps-38	291	53	on	on	ADP
aps-38	291	54	the	the	DET
aps-38	291	55	value	value	NOUN
aps-38	291	56	of	of	ADP
aps-38	291	57	𝛽𝛽	𝛽𝛽	ADP
aps-38	291	58	as	as	ADV
aps-38	291	59	well	well	ADV
aps-38	291	60	as	as	ADP
aps-38	291	61	the	the	DET
aps-38	291	62	function	function	NOUN
aps-38	291	63	.	.	PUNCT
aps-38	292	1	however	however	ADV
aps-38	292	2	,	,	PUNCT
aps-38	292	3	figure	figure	VERB
aps-38	292	4	7	7	NUM
aps-38	292	5	shows	show	VERB
aps-38	292	6	how	how	SCONJ
aps-38	292	7	the	the	DET
aps-38	292	8	different	different	ADJ
aps-38	292	9	functions	function	NOUN
aps-38	292	10	and	and	CCONJ
aps-38	292	11	values	value	NOUN
aps-38	292	12	of	of	ADP
aps-38	292	13	𝛽𝛽	𝛽𝛽	ADJ
aps-38	292	14	can	can	AUX
aps-38	292	15	combine	combine	VERB
aps-38	292	16	to	to	PART
aps-38	292	17	affect	affect	VERB
aps-38	292	18	distance	distance	NOUN
aps-38	292	19	decay	decay	NOUN
aps-38	292	20	.	.	PUNCT
aps-38	293	1	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	PROPN
aps-38	294	1	australian	australian	ADJ
aps-38	294	2	population	population	NOUN
aps-38	294	3	studies	study	NOUN
aps-38	294	4	2	2	NUM
aps-38	294	5	(	(	PUNCT
aps-38	294	6	2	2	NUM
aps-38	294	7	)	)	PUNCT
aps-38	294	8	2018	2018	NUM
aps-38	294	9	dennett	dennett	PROPN
aps-38	294	10	55	55	NUM
aps-38	294	11	call	call	NOUN
aps-38	294	12	:	:	PUNCT
aps-38	294	13	glm(formula	glm(formula	NUM
aps-38	294	14	=	=	PUNCT
aps-38	294	15	flow	flow	NOUN
aps-38	294	16	~	~	PUNCT
aps-38	294	17	orig_code	orig_code	PROPN
aps-38	294	18	+	+	NUM
aps-38	294	19	dest_code	dest_code	NOUN
aps-38	294	20	+	+	CCONJ
aps-38	294	21	log(dist	log(dist	NOUN
aps-38	294	22	)	)	PUNCT
aps-38	294	23	,	,	PUNCT
aps-38	294	24	family	family	NOUN
aps-38	294	25	=	=	SYM
aps-38	294	26	poisson(link	poisson(link	NOUN
aps-38	294	27	=	=	PUNCT
aps-38	294	28	"	"	PUNCT
aps-38	294	29	log	log	NOUN
aps-38	294	30	"	"	PUNCT
aps-38	294	31	)	)	PUNCT
aps-38	294	32	,	,	PUNCT
aps-38	294	33	data	datum	NOUN
aps-38	294	34	=	=	SYM
aps-38	294	35	mdatasub	mdatasub	NOUN
aps-38	294	36	,	,	PUNCT
aps-38	294	37	na.action	na.action	NOUN
aps-38	294	38	=	=	SYM
aps-38	294	39	na.exclude	na.exclude	NUM
aps-38	294	40	)	)	PUNCT
aps-38	294	41	deviance	deviance	NOUN
aps-38	294	42	residuals	residual	NOUN
aps-38	294	43	:	:	PUNCT
aps-38	294	44	min	min	NOUN
aps-38	294	45	1q	1q	ADJ
aps-38	294	46	median	median	NOUN
aps-38	294	47	3q	3q	NUM
aps-38	294	48	max	max	PROPN
aps-38	294	49	-93.018	-93.018	PUNCT
aps-38	294	50	-26.703	-26.703	PROPN
aps-38	295	1	0.021	0.021	NUM
aps-38	295	2	19.046	19.046	NUM
aps-38	295	3	184.179	184.179	NUM
aps-38	295	4	coefficients	coefficient	NOUN
aps-38	295	5	:	:	PUNCT
aps-38	295	6	estimate	estimate	VERB
aps-38	295	7	std	std	NOUN
aps-38	295	8	.	.	NOUN
aps-38	295	9	error	error	NOUN
aps-38	295	10	z	z	NOUN
aps-38	295	11	value	value	NOUN
aps-38	295	12	pr(>|z|	pr(>|z|	NOUN
aps-38	295	13	)	)	PUNCT
aps-38	295	14	(	(	PUNCT
aps-38	295	15	intercept	intercept	NOUN
aps-38	295	16	)	)	PUNCT
aps-38	295	17	20.208178	20.208178	NUM
aps-38	296	1	0.011308	0.011308	NUM
aps-38	296	2	1786.999	1786.999	NUM
aps-38	296	3	<	<	X
aps-38	296	4	0.0000000000000002	0.0000000000000002	NUM
aps-38	296	5	*	*	PUNCT
aps-38	296	6	*	*	PUNCT
aps-38	296	7	*	*	PUNCT
aps-38	296	8	orig_code1rnsw	orig_code1rnsw	NOUN
aps-38	296	9	-0.122417	-0.122417	NOUN
aps-38	296	10	0.003463	0.003463	NUM
aps-38	296	11	-35.353	-35.353	X
aps-38	296	12	<	<	X
aps-38	296	13	0.0000000000000002	0.0000000000000002	NUM
aps-38	296	14	*	*	PUNCT
aps-38	296	15	*	*	PUNCT
aps-38	296	16	*	*	PUNCT
aps-38	296	17	orig_code2gmel	orig_code2gmel	X
aps-38	296	18	-0.455872	-0.455872	VERB
aps-38	296	19	0.003741	0.003741	NUM
aps-38	296	20	-121.852	-121.852	X
aps-38	296	21	<	<	X
aps-38	296	22	0.0000000000000002	0.0000000000000002	NUM
aps-38	296	23	*	*	PUNCT
aps-38	296	24	*	*	PUNCT
aps-38	296	25	*	*	PUNCT
aps-38	296	26	orig_code2rvic	orig_code2rvic	ADJ
aps-38	296	27	-1.434386	-1.434386	NOUN
aps-38	296	28	0.004511	0.004511	NUM
aps-38	296	29	-317.969	-317.969	PROPN
aps-38	296	30	<	<	X
aps-38	296	31	0.0000000000000002	0.0000000000000002	NUM
aps-38	296	32	*	*	PUNCT
aps-38	296	33	*	*	PUNCT
aps-38	296	34	*	*	PUNCT
aps-38	296	35	orig_code3gbri	orig_code3gbri	PROPN
aps-38	296	36	0.241303	0.241303	NUM
aps-38	296	37	0.003597	0.003597	NUM
aps-38	296	38	67.091	67.091	NUM
aps-38	296	39	<	<	X
aps-38	296	40	0.0000000000000002	0.0000000000000002	NUM
aps-38	296	41	*	*	PUNCT
aps-38	296	42	*	*	PUNCT
aps-38	296	43	*	*	PUNCT
aps-38	297	1	orig_code3rqld	orig_code3rqld	ADP
aps-38	297	2	0.772753	0.772753	NUM
aps-38	297	3	0.003599	0.003599	NUM
aps-38	297	4	214.700	214.700	NUM
aps-38	297	5	<	<	X
aps-38	297	6	0.0000000000000002	0.0000000000000002	NUM
aps-38	297	7	*	*	PUNCT
aps-38	297	8	*	*	PUNCT
aps-38	297	9	*	*	PUNCT
aps-38	297	10	orig_code4gade	orig_code4gade	PROPN
aps-38	297	11	-0.674261	-0.674261	NOUN
aps-38	297	12	0.004527	0.004527	NUM
aps-38	297	13	-148.936	-148.936	NUM
aps-38	297	14	<	<	X
aps-38	297	15	0.0000000000000002	0.0000000000000002	NUM
aps-38	297	16	*	*	PUNCT
aps-38	297	17	*	*	PUNCT
aps-38	297	18	*	*	PUNCT
aps-38	297	19	orig_code4rsau	orig_code4rsau	NOUN
aps-38	297	20	-1.248974	-1.248974	NOUN
aps-38	297	21	0.005889	0.005889	NUM
aps-38	297	22	-212.091	-212.091	NUM
aps-38	297	23	<	<	X
aps-38	297	24	0.0000000000000002	0.0000000000000002	NUM
aps-38	297	25	*	*	PUNCT
aps-38	297	26	*	*	PUNCT
aps-38	297	27	*	*	PUNCT
aps-38	297	28	orig_code5gper	orig_code5gper	NOUN
aps-38	297	29	0.742687	0.742687	NUM
aps-38	297	30	0.004668	0.004668	NUM
aps-38	297	31	159.118	159.118	NUM
aps-38	297	32	<	<	X
aps-38	297	33	0.0000000000000002	0.0000000000000002	NUM
aps-38	297	34	*	*	PUNCT
aps-38	297	35	*	*	PUNCT
aps-38	297	36	*	*	PUNCT
aps-38	297	37	orig_code5rwau	orig_code5rwau	NOUN
aps-38	297	38	-0.317806	-0.317806	VERB
aps-38	297	39	0.005131	0.005131	NUM
aps-38	297	40	-61.943	-61.943	NOUN
aps-38	297	41	<	<	X
aps-38	297	42	0.0000000000000002	0.0000000000000002	NUM
aps-38	297	43	*	*	PUNCT
aps-38	297	44	*	*	PUNCT
aps-38	297	45	*	*	PUNCT
aps-38	297	46	orig_code6ghob	orig_code6ghob	ADJ
aps-38	297	47	-2.270736	-2.270736	NOUN
aps-38	297	48	0.008576	0.008576	NUM
aps-38	297	49	-264.767	-264.767	NUM
aps-38	297	50	<	<	X
aps-38	297	51	0.0000000000000002	0.0000000000000002	NUM
aps-38	297	52	*	*	PUNCT
aps-38	297	53	*	*	PUNCT
aps-38	297	54	*	*	PUNCT
aps-38	297	55	orig_code6rtas	orig_code6rtas	NOUN
aps-38	297	56	-1.988784	-1.988784	NOUN
aps-38	297	57	0.007477	0.007477	NUM
aps-38	297	58	-265.981	-265.981	PUNCT
aps-38	297	59	<	<	X
aps-38	297	60	0.0000000000000002	0.0000000000000002	NUM
aps-38	297	61	*	*	PUNCT
aps-38	297	62	*	*	PUNCT
aps-38	297	63	*	*	PUNCT
aps-38	297	64	orig_code7gdar	orig_code7gdar	NOUN
aps-38	297	65	-0.797620	-0.797620	NOUN
aps-38	297	66	0.007089	0.007089	NUM
aps-38	298	1	-112.513	-112.513	NUM
aps-38	298	2	<	<	X
aps-38	298	3	0.0000000000000002	0.0000000000000002	NUM
aps-38	298	4	*	*	PUNCT
aps-38	298	5	*	*	PUNCT
aps-38	298	6	*	*	PUNCT
aps-38	298	7	orig_code7rnte	orig_code7rnte	PROPN
aps-38	298	8	-1.893522	-1.893522	NOUN
aps-38	298	9	0.008806	0.008806	NUM
aps-38	298	10	-215.022	-215.022	NOUN
aps-38	298	11	<	<	X
aps-38	298	12	0.0000000000000002	0.0000000000000002	NUM
aps-38	298	13	*	*	PUNCT
aps-38	298	14	*	*	PUNCT
aps-38	298	15	*	*	PUNCT
aps-38	298	16	orig_code8acte	orig_code8acte	NUM
aps-38	298	17	-1.921309	-1.921309	NOUN
aps-38	298	18	0.005511	0.005511	NUM
aps-38	299	1	-348.631	-348.631	PROPN
aps-38	300	1	<	<	X
aps-38	300	2	0.0000000000000002	0.0000000000000002	NUM
aps-38	300	3	*	*	PUNCT
aps-38	300	4	*	*	PUNCT
aps-38	300	5	*	*	PUNCT
aps-38	300	6	dest_code1rnsw	dest_code1rnsw	PROPN
aps-38	300	7	0.389478	0.389478	NUM
aps-38	300	8	0.003899	0.003899	NUM
aps-38	300	9	99.894	99.894	NUM
aps-38	300	10	<	<	X
aps-38	300	11	0.0000000000000002	0.0000000000000002	NUM
aps-38	301	1	*	*	PUNCT
aps-38	301	2	*	*	PUNCT
aps-38	301	3	*	*	PUNCT
aps-38	301	4	dest_code2gmel	dest_code2gmel	PROPN
aps-38	301	5	-0.007616	-0.007616	NOUN
aps-38	302	1	0.004244	0.004244	NUM
aps-38	302	2	-1.794	-1.794	SYM
aps-38	302	3	0.0727	0.0727	NUM
aps-38	302	4	.	.	PUNCT
aps-38	303	1	dest_code2rvic	dest_code2rvic	ADJ
aps-38	303	2	-0.781258	-0.781258	VERB
aps-38	303	3	0.004654	0.004654	NUM
aps-38	303	4	-167.854	-167.854	NUM
aps-38	303	5	<	<	X
aps-38	303	6	0.0000000000000002	0.0000000000000002	NUM
aps-38	303	7	*	*	PUNCT
aps-38	303	8	*	*	PUNCT
aps-38	304	1	*	*	PUNCT
aps-38	304	2	dest_code3gbri	dest_code3gbri	ADP
aps-38	304	3	0.795909	0.795909	NUM
aps-38	304	4	0.004037	0.004037	NUM
aps-38	304	5	197.178	197.178	NUM
aps-38	304	6	<	<	X
aps-38	304	7	0.0000000000000002	0.0000000000000002	NUM
aps-38	304	8	*	*	PUNCT
aps-38	304	9	*	*	PUNCT
aps-38	304	10	*	*	PUNCT
aps-38	304	11	dest_code3rqld	dest_code3rqld	PROPN
aps-38	304	12	1.516186	1.516186	NUM
aps-38	304	13	0.003918	0.003918	NUM
aps-38	304	14	386.955	386.955	NUM
aps-38	304	15	<	<	X
aps-38	304	16	0.0000000000000002	0.0000000000000002	NUM
aps-38	304	17	*	*	PUNCT
aps-38	304	18	*	*	PUNCT
aps-38	304	19	*	*	PUNCT
aps-38	304	20	dest_code4gade	dest_code4gade	NOUN
aps-38	304	21	-0.331189	-0.331189	NOUN
aps-38	305	1	0.005232	0.005232	NUM
aps-38	305	2	-63.304	-63.304	PUNCT
aps-38	306	1	<	<	X
aps-38	306	2	0.0000000000000002	0.0000000000000002	NUM
aps-38	306	3	*	*	PUNCT
aps-38	306	4	*	*	PUNCT
aps-38	306	5	*	*	PUNCT
aps-38	306	6	dest_code4rsau	dest_code4rsau	NOUN
aps-38	306	7	-0.627202	-0.627202	NOUN
aps-38	306	8	0.006032	0.006032	NUM
aps-38	306	9	-103.980	-103.980	NOUN
aps-38	306	10	<	<	X
aps-38	306	11	0.0000000000000002	0.0000000000000002	NUM
aps-38	306	12	*	*	PUNCT
aps-38	306	13	*	*	PUNCT
aps-38	306	14	*	*	PUNCT
aps-38	306	15	dest_code5gper	dest_code5gper	VERB
aps-38	306	16	1.390114	1.390114	NUM
aps-38	306	17	0.005022	0.005022	NUM
aps-38	306	18	276.811	276.811	NUM
aps-38	306	19	<	<	X
aps-38	306	20	0.0000000000000002	0.0000000000000002	NUM
aps-38	306	21	*	*	PUNCT
aps-38	306	22	*	*	PUNCT
aps-38	306	23	*	*	PUNCT
aps-38	306	24	dest_code5rwau	dest_code5rwau	NOUN
aps-38	306	25	0.367314	0.367314	NUM
aps-38	306	26	0.005362	0.005362	NUM
aps-38	307	1	68.509	68.509	NUM
aps-38	307	2	<	<	X
aps-38	307	3	0.0000000000000002	0.0000000000000002	NUM
aps-38	307	4	*	*	PUNCT
aps-38	307	5	*	*	PUNCT
aps-38	307	6	*	*	PUNCT
aps-38	307	7	dest_code6ghob	dest_code6ghob	PROPN
aps-38	307	8	-1.685934	-1.685934	X
aps-38	307	9	0.008478	0.008478	NUM
aps-38	307	10	-198.859	-198.859	PROPN
aps-38	307	11	<	<	X
aps-38	307	12	0.0000000000000002	0.0000000000000002	NUM
aps-38	307	13	*	*	PUNCT
aps-38	307	14	*	*	PUNCT
aps-38	307	15	*	*	PUNCT
aps-38	307	16	dest_code6rtas	dest_code6rtas	X
aps-38	307	17	-1.454819	-1.454819	NOUN
aps-38	307	18	0.007612	0.007612	NUM
aps-38	307	19	-191.112	-191.112	PUNCT
aps-38	307	20	<	<	X
aps-38	307	21	0.0000000000000002	0.0000000000000002	NUM
aps-38	307	22	*	*	PUNCT
aps-38	307	23	*	*	PUNCT
aps-38	307	24	*	*	PUNCT
aps-38	307	25	dest_code7gdar	dest_code7gdar	PROPN
aps-38	307	26	-0.308516	-0.308516	NOUN
aps-38	307	27	0.007716	0.007716	NUM
aps-38	307	28	-39.986	-39.986	PUNCT
aps-38	307	29	<	<	X
aps-38	307	30	0.0000000000000002	0.0000000000000002	NUM
aps-38	307	31	*	*	PUNCT
aps-38	307	32	*	*	PUNCT
aps-38	307	33	*	*	PUNCT
aps-38	307	34	dest_code7rnte	dest_code7rnte	PROPN
aps-38	307	35	-1.462020	-1.462020	NOUN
aps-38	307	36	0.009743	0.009743	NUM
aps-38	307	37	-150.060	-150.060	NOUN
aps-38	307	38	<	<	X
aps-38	307	39	0.0000000000000002	0.0000000000000002	NUM
aps-38	307	40	*	*	PUNCT
aps-38	307	41	*	*	PUNCT
aps-38	307	42	*	*	PUNCT
aps-38	307	43	dest_code8acte	dest_code8acte	NOUN
aps-38	307	44	-1.506283	-1.506283	NOUN
aps-38	307	45	0.005709	0.005709	NUM
aps-38	307	46	-263.866	-263.866	PROPN
aps-38	307	47	<	<	X
aps-38	307	48	0.0000000000000002	0.0000000000000002	NUM
aps-38	307	49	*	*	PUNCT
aps-38	307	50	*	*	PUNCT
aps-38	307	51	*	*	NOUN
aps-38	307	52	log(dist	log(dist	NOUN
aps-38	307	53	)	)	PUNCT
aps-38	307	54	-1.589102	-1.589102	NOUN
aps-38	308	1	0.001685	0.001685	NUM
aps-38	308	2	-942.842	-942.842	NUM
aps-38	308	3	<	<	X
aps-38	308	4	0.0000000000000002	0.0000000000000002	NUM
aps-38	308	5	*	*	PUNCT
aps-38	308	6	*	*	PUNCT
aps-38	308	7	*	*	PUNCT
aps-38	308	8	--	--	PUNCT
aps-38	308	9	signif	signif	NOUN
aps-38	308	10	.	.	PUNCT
aps-38	309	1	codes	code	NOUN
aps-38	309	2	:	:	PUNCT
aps-38	309	3	0	0	NUM
aps-38	309	4	‘	'	PUNCT
aps-38	309	5	*	*	PUNCT
aps-38	309	6	*	*	PUNCT
aps-38	309	7	*	*	NOUN
aps-38	309	8	’	'	PUNCT
aps-38	309	9	0.001	0.001	NUM
aps-38	309	10	‘	'	PUNCT
aps-38	309	11	*	*	NOUN
aps-38	309	12	*	*	NOUN
aps-38	309	13	’	'	PUNCT
aps-38	309	14	0.01	0.01	NUM
aps-38	309	15	‘	'	PUNCT
aps-38	309	16	*	*	NOUN
aps-38	309	17	’	'	PUNCT
aps-38	309	18	0.05	0.05	NUM
aps-38	309	19	‘	'	PUNCT
aps-38	309	20	.	.	PUNCT
aps-38	309	21	’	'	PUNCT
aps-38	310	1	0.1	0.1	NUM
aps-38	310	2	‘	'	PUNCT
aps-38	310	3	’	'	PUNCT
aps-38	310	4	1	1	NUM
aps-38	310	5	(	(	PUNCT
aps-38	310	6	dispersion	dispersion	NOUN
aps-38	310	7	parameter	parameter	NOUN
aps-38	310	8	for	for	ADP
aps-38	310	9	poisson	poisson	PROPN
aps-38	310	10	family	family	NOUN
aps-38	310	11	taken	take	VERB
aps-38	310	12	to	to	PART
aps-38	310	13	be	be	AUX
aps-38	310	14	1	1	NUM
aps-38	310	15	)	)	PUNCT
aps-38	310	16	null	null	ADJ
aps-38	310	17	deviance	deviance	NOUN
aps-38	310	18	:	:	PUNCT
aps-38	310	19	2750417	2750417	NUM
aps-38	310	20	on	on	ADP
aps-38	310	21	209	209	NUM
aps-38	310	22	degrees	degree	NOUN
aps-38	310	23	of	of	ADP
aps-38	310	24	freedom	freedom	NOUN
aps-38	310	25	residual	residual	ADJ
aps-38	310	26	deviance	deviance	NOUN
aps-38	310	27	:	:	PUNCT
aps-38	310	28	335759	335759	NUM
aps-38	310	29	on	on	ADP
aps-38	310	30	180	180	NUM
aps-38	310	31	degrees	degree	NOUN
aps-38	310	32	of	of	ADP
aps-38	310	33	freedom	freedom	NOUN
aps-38	310	34	aic	aic	PROPN
aps-38	310	35	:	:	PUNCT
aps-38	310	36	337818	337818	NUM
aps-38	310	37	number	number	NOUN
aps-38	310	38	of	of	ADP
aps-38	310	39	fisher	fisher	PROPN
aps-38	310	40	scoring	score	VERB
aps-38	310	41	iterations	iteration	NOUN
aps-38	310	42	:	:	PUNCT
aps-38	310	43	6	6	NUM
aps-38	310	44	box	box	NOUN
aps-38	310	45	3	3	NUM
aps-38	310	46	:	:	PUNCT
aps-38	310	47	outputs	output	NOUN
aps-38	310	48	from	from	ADP
aps-38	310	49	the	the	DET
aps-38	310	50	doubly	doubly	ADV
aps-38	310	51	constrained	constrain	VERB
aps-38	310	52	model	model	NOUN
aps-38	310	53	specified	specify	VERB
aps-38	310	54	in	in	ADP
aps-38	310	55	equation	equation	NOUN
aps-38	310	56	21	21	NUM
aps-38	310	57	56	56	NUM
aps-38	310	58	dennett	dennett	PROPN
aps-38	310	59	australian	australian	ADJ
aps-38	310	60	population	population	NOUN
aps-38	310	61	studies	study	NOUN
aps-38	310	62	2	2	NUM
aps-38	310	63	(	(	PUNCT
aps-38	310	64	2	2	NUM
aps-38	310	65	)	)	PUNCT
aps-38	310	66	2018	2018	NUM
aps-38	310	67	figure	figure	NOUN
aps-38	310	68	7	7	NUM
aps-38	310	69	:	:	PUNCT
aps-38	310	70	alternative	alternative	ADJ
aps-38	310	71	distance	distance	NOUN
aps-38	310	72	decay	decay	VERB
aps-38	310	73	curves	curve	NOUN
aps-38	310	74	for	for	ADP
aps-38	310	75	alternative	alternative	ADJ
aps-38	310	76	values	value	NOUN
aps-38	310	77	of	of	ADP
aps-38	310	78	𝜷𝜷	𝜷𝜷	NOUN
aps-38	310	79	and	and	CCONJ
aps-38	310	80	different	different	ADJ
aps-38	310	81	functions	function	NOUN
aps-38	310	82	in	in	ADP
aps-38	310	83	this	this	DET
aps-38	310	84	particular	particular	ADJ
aps-38	310	85	example	example	NOUN
aps-38	310	86	with	with	ADP
aps-38	310	87	these	these	DET
aps-38	310	88	parameters	parameter	NOUN
aps-38	310	89	and	and	CCONJ
aps-38	310	90	𝛽𝛽	𝛽𝛽	ADP
aps-38	310	91	values	value	NOUN
aps-38	310	92	,	,	PUNCT
aps-38	310	93	the	the	DET
aps-38	310	94	inverse	inverse	NOUN
aps-38	310	95	power	power	NOUN
aps-38	310	96	function	function	NOUN
aps-38	310	97	has	have	VERB
aps-38	310	98	a	a	DET
aps-38	310	99	far	far	ADV
aps-38	310	100	more	more	ADV
aps-38	310	101	rapid	rapid	ADJ
aps-38	310	102	distance	distance	NOUN
aps-38	310	103	decay	decay	NOUN
aps-38	310	104	effect	effect	NOUN
aps-38	310	105	than	than	ADP
aps-38	310	106	the	the	DET
aps-38	310	107	negative	negative	ADJ
aps-38	310	108	exponential	exponential	ADJ
aps-38	310	109	function	function	NOUN
aps-38	310	110	.	.	PUNCT
aps-38	311	1	in	in	ADP
aps-38	311	2	real	real	ADJ
aps-38	311	3	life	life	NOUN
aps-38	311	4	,	,	PUNCT
aps-38	311	5	what	what	PRON
aps-38	311	6	this	this	PRON
aps-38	311	7	means	mean	VERB
aps-38	311	8	is	be	AUX
aps-38	311	9	that	that	SCONJ
aps-38	311	10	if	if	SCONJ
aps-38	311	11	the	the	DET
aps-38	311	12	observed	observed	ADJ
aps-38	311	13	interactions	interaction	NOUN
aps-38	311	14	drop	drop	VERB
aps-38	311	15	off	off	ADP
aps-38	311	16	very	very	ADV
aps-38	311	17	rapidly	rapidly	ADV
aps-38	311	18	with	with	ADP
aps-38	311	19	distance	distance	NOUN
aps-38	311	20	,	,	PUNCT
aps-38	311	21	then	then	ADV
aps-38	311	22	they	they	PRON
aps-38	311	23	might	might	AUX
aps-38	311	24	be	be	AUX
aps-38	311	25	more	more	ADV
aps-38	311	26	likely	likely	ADJ
aps-38	311	27	to	to	PART
aps-38	311	28	follow	follow	VERB
aps-38	311	29	an	an	DET
aps-38	311	30	inverse	inverse	NOUN
aps-38	311	31	power	power	NOUN
aps-38	311	32	law	law	NOUN
aps-38	311	33	.	.	PUNCT
aps-38	312	1	this	this	PRON
aps-38	312	2	might	might	AUX
aps-38	312	3	be	be	AUX
aps-38	312	4	the	the	DET
aps-38	312	5	case	case	NOUN
aps-38	312	6	when	when	SCONJ
aps-38	312	7	looking	look	VERB
aps-38	312	8	at	at	ADP
aps-38	312	9	trips	trip	NOUN
aps-38	312	10	to	to	ADP
aps-38	312	11	the	the	DET
aps-38	312	12	local	local	ADJ
aps-38	312	13	convenience	convenience	NOUN
aps-38	312	14	store	store	NOUN
aps-38	312	15	by	by	ADP
aps-38	312	16	walking	walk	VERB
aps-38	312	17	,	,	PUNCT
aps-38	312	18	for	for	ADP
aps-38	312	19	example	example	NOUN
aps-38	312	20	.	.	PUNCT
aps-38	313	1	on	on	ADP
aps-38	313	2	the	the	DET
aps-38	313	3	other	other	ADJ
aps-38	313	4	hand	hand	NOUN
aps-38	313	5	,	,	PUNCT
aps-38	313	6	if	if	SCONJ
aps-38	313	7	the	the	DET
aps-38	313	8	effect	effect	NOUN
aps-38	313	9	of	of	ADP
aps-38	313	10	distance	distance	NOUN
aps-38	313	11	is	be	AUX
aps-38	313	12	less	less	ADV
aps-38	313	13	severe	severe	ADJ
aps-38	313	14	–	–	PUNCT
aps-38	313	15	for	for	ADP
aps-38	313	16	example	example	NOUN
aps-38	313	17	,	,	PUNCT
aps-38	313	18	migration	migration	NOUN
aps-38	313	19	across	across	ADP
aps-38	313	20	the	the	DET
aps-38	313	21	country	country	NOUN
aps-38	313	22	for	for	ADP
aps-38	313	23	a	a	DET
aps-38	313	24	new	new	ADJ
aps-38	313	25	job	job	NOUN
aps-38	313	26	–	–	PUNCT
aps-38	313	27	then	then	ADV
aps-38	313	28	the	the	DET
aps-38	313	29	negative	negative	ADJ
aps-38	313	30	exponential	exponential	ADJ
aps-38	313	31	function	function	NOUN
aps-38	313	32	with	with	ADP
aps-38	313	33	a	a	DET
aps-38	313	34	small	small	ADJ
aps-38	313	35	value	value	NOUN
aps-38	313	36	of	of	ADP
aps-38	313	37	𝛽𝛽	𝛽𝛽	ADP
aps-38	313	38	function	function	NOUN
aps-38	313	39	might	might	AUX
aps-38	313	40	be	be	AUX
aps-38	313	41	more	more	ADV
aps-38	313	42	appropriate	appropriate	ADJ
aps-38	313	43	.	.	PUNCT
aps-38	314	1	there	there	PRON
aps-38	314	2	is	be	VERB
aps-38	314	3	no	no	DET
aps-38	314	4	hard	hard	ADJ
aps-38	314	5	and	and	CCONJ
aps-38	314	6	fast	fast	ADJ
aps-38	314	7	rule	rule	NOUN
aps-38	314	8	as	as	ADP
aps-38	314	9	to	to	ADP
aps-38	314	10	which	which	DET
aps-38	314	11	function	function	NOUN
aps-38	314	12	to	to	PART
aps-38	314	13	pick	pick	VERB
aps-38	314	14	.	.	PUNCT
aps-38	315	1	it	it	PRON
aps-38	315	2	will	will	AUX
aps-38	315	3	just	just	ADV
aps-38	315	4	come	come	VERB
aps-38	315	5	down	down	ADP
aps-38	315	6	to	to	ADP
aps-38	315	7	which	which	PRON
aps-38	315	8	fits	fit	VERB
aps-38	315	9	the	the	DET
aps-38	315	10	data	datum	NOUN
aps-38	315	11	better	well	ADV
aps-38	315	12	.	.	PUNCT
aps-38	316	1	following	follow	VERB
aps-38	316	2	oshan	oshan	PROPN
aps-38	316	3	’s	’s	PART
aps-38	316	4	(	(	PUNCT
aps-38	316	5	2016	2016	NUM
aps-38	316	6	)	)	PUNCT
aps-38	316	7	example	example	NOUN
aps-38	316	8	,	,	PUNCT
aps-38	316	9	the	the	DET
aps-38	316	10	accompanying	accompany	VERB
aps-38	316	11	walk	walk	NOUN
aps-38	316	12	-	-	PUNCT
aps-38	316	13	through	through	ADP
aps-38	316	14	exercise	exercise	NOUN
aps-38	316	15	will	will	AUX
aps-38	316	16	allow	allow	VERB
aps-38	316	17	you	you	PRON
aps-38	316	18	to	to	PART
aps-38	316	19	explore	explore	VERB
aps-38	316	20	the	the	DET
aps-38	316	21	effect	effect	NOUN
aps-38	316	22	on	on	ADP
aps-38	316	23	model	model	NOUN
aps-38	316	24	fits	fit	NOUN
aps-38	316	25	and	and	CCONJ
aps-38	316	26	predictions	prediction	NOUN
aps-38	316	27	of	of	ADP
aps-38	316	28	fitting	fitting	ADJ
aps-38	316	29	different	different	ADJ
aps-38	316	30	distance	distance	NOUN
aps-38	316	31	decay	decay	NOUN
aps-38	316	32	functions	function	NOUN
aps-38	316	33	to	to	ADP
aps-38	316	34	the	the	DET
aps-38	316	35	distance	distance	NOUN
aps-38	316	36	variable	variable	NOUN
aps-38	316	37	.	.	PUNCT
aps-38	317	1	the	the	DET
aps-38	317	2	final	final	ADJ
aps-38	317	3	point	point	NOUN
aps-38	317	4	to	to	PART
aps-38	317	5	note	note	VERB
aps-38	317	6	is	be	AUX
aps-38	317	7	that	that	SCONJ
aps-38	317	8	the	the	DET
aps-38	317	9	regression	regression	NOUN
aps-38	317	10	modelling	model	VERB
aps-38	317	11	framework	framework	NOUN
aps-38	317	12	means	mean	VERB
aps-38	317	13	that	that	SCONJ
aps-38	317	14	adding	add	VERB
aps-38	317	15	additional	additional	ADJ
aps-38	317	16	explanatory	explanatory	ADJ
aps-38	317	17	variables	variable	NOUN
aps-38	317	18	into	into	ADP
aps-38	317	19	the	the	DET
aps-38	317	20	spatial	spatial	ADJ
aps-38	317	21	interaction	interaction	NOUN
aps-38	317	22	model	model	NOUN
aps-38	317	23	is	be	AUX
aps-38	317	24	very	very	ADV
aps-38	317	25	easy	easy	ADJ
aps-38	317	26	compared	compare	VERB
aps-38	317	27	with	with	ADP
aps-38	317	28	the	the	DET
aps-38	317	29	multiplicative	multiplicative	ADJ
aps-38	317	30	framework	framework	NOUN
aps-38	317	31	.	.	PUNCT
aps-38	318	1	in	in	ADP
aps-38	318	2	the	the	DET
aps-38	318	3	accompanying	accompany	VERB
aps-38	318	4	walk	walk	NOUN
aps-38	318	5	-	-	PUNCT
aps-38	318	6	through	through	ADP
aps-38	318	7	guide	guide	NOUN
aps-38	318	8	,	,	PUNCT
aps-38	318	9	in	in	ADP
aps-38	318	10	addition	addition	NOUN
aps-38	318	11	to	to	ADP
aps-38	318	12	variables	variable	NOUN
aps-38	318	13	relating	relate	VERB
aps-38	318	14	to	to	ADP
aps-38	318	15	median	median	ADJ
aps-38	318	16	income	income	NOUN
aps-38	318	17	,	,	PUNCT
aps-38	318	18	there	there	PRON
aps-38	318	19	are	be	VERB
aps-38	318	20	variables	variable	NOUN
aps-38	318	21	on	on	ADP
aps-38	318	22	unemployment	unemployment	NOUN
aps-38	318	23	rate	rate	NOUN
aps-38	318	24	and	and	CCONJ
aps-38	318	25	the	the	DET
aps-38	318	26	percentage	percentage	NOUN
aps-38	318	27	of	of	ADP
aps-38	318	28	households	household	NOUN
aps-38	318	29	living	live	VERB
aps-38	318	30	in	in	ADP
aps-38	318	31	rented	rent	VERB
aps-38	318	32	accommodation	accommodation	NOUN
aps-38	318	33	.	.	PUNCT
aps-38	319	1	experiment	experiment	NOUN
aps-38	319	2	with	with	ADP
aps-38	319	3	these	these	DET
aps-38	319	4	variables	variable	NOUN
aps-38	319	5	for	for	ADP
aps-38	319	6	origins	origin	NOUN
aps-38	319	7	and	and	CCONJ
aps-38	319	8	destinations	destination	NOUN
aps-38	319	9	to	to	PART
aps-38	319	10	see	see	VERB
aps-38	319	11	whether	whether	SCONJ
aps-38	319	12	the	the	DET
aps-38	319	13	singly	singly	ADV
aps-38	319	14	constrained	constrain	VERB
aps-38	319	15	models	model	NOUN
aps-38	319	16	can	can	AUX
aps-38	319	17	be	be	AUX
aps-38	319	18	improved	improve	VERB
aps-38	319	19	in	in	ADP
aps-38	319	20	any	any	DET
aps-38	319	21	way	way	NOUN
aps-38	319	22	.	.	PUNCT
aps-38	320	1	3	3	X
aps-38	320	2	.	.	X
aps-38	320	3	conclusions	conclusion	NOUN
aps-38	320	4	spatial	spatial	ADJ
aps-38	320	5	interaction	interaction	NOUN
aps-38	320	6	modelling	modelling	NOUN
aps-38	320	7	is	be	AUX
aps-38	320	8	one	one	NUM
aps-38	320	9	of	of	ADP
aps-38	320	10	the	the	DET
aps-38	320	11	key	key	ADJ
aps-38	320	12	tools	tool	NOUN
aps-38	320	13	in	in	ADP
aps-38	320	14	the	the	DET
aps-38	320	15	population	population	NOUN
aps-38	320	16	geographer	geographer	NOUN
aps-38	320	17	’s	’s	PART
aps-38	320	18	tool	tool	PROPN
aps-38	320	19	kit	kit	PROPN
aps-38	320	20	,	,	PUNCT
aps-38	320	21	but	but	CCONJ
aps-38	320	22	for	for	ADP
aps-38	320	23	too	too	ADV
aps-38	320	24	long	long	ADJ
aps-38	320	25	has	have	AUX
aps-38	320	26	been	be	AUX
aps-38	320	27	inaccessible	inaccessible	ADJ
aps-38	320	28	to	to	ADP
aps-38	320	29	researchers	researcher	NOUN
aps-38	320	30	new	new	ADJ
aps-38	320	31	to	to	ADP
aps-38	320	32	the	the	DET
aps-38	320	33	field	field	NOUN
aps-38	320	34	or	or	CCONJ
aps-38	320	35	without	without	ADP
aps-38	320	36	computer	computer	NOUN
aps-38	320	37	programming	programming	NOUN
aps-38	320	38	expertise	expertise	NOUN
aps-38	320	39	.	.	PUNCT
aps-38	321	1	recent	recent	ADJ
aps-38	321	2	advances	advance	NOUN
aps-38	321	3	in	in	ADP
aps-38	321	4	more	more	ADJ
aps-38	321	5	forgiving	forgiving	ADJ
aps-38	321	6	software	software	NOUN
aps-38	321	7	environments	environment	NOUN
aps-38	321	8	like	like	ADP
aps-38	321	9	r	r	NOUN
aps-38	321	10	and	and	CCONJ
aps-38	321	11	python	python	NOUN
aps-38	321	12	now	now	ADV
aps-38	321	13	mean	mean	VERB
aps-38	321	14	that	that	SCONJ
aps-38	321	15	with	with	ADP
aps-38	321	16	much	much	ADV
aps-38	321	17	less	less	ADJ
aps-38	321	18	(	(	PUNCT
aps-38	321	19	although	although	SCONJ
aps-38	321	20	admittedly	admittedly	ADV
aps-38	321	21	still	still	ADV
aps-38	321	22	some	some	DET
aps-38	321	23	)	)	PUNCT
aps-38	321	24	effort	effort	NOUN
aps-38	321	25	,	,	PUNCT
aps-38	321	26	this	this	DET
aps-38	321	27	powerful	powerful	ADJ
aps-38	321	28	modelling	modelling	NOUN
aps-38	321	29	tool	tool	NOUN
aps-38	321	30	can	can	AUX
aps-38	321	31	be	be	AUX
aps-38	321	32	accessed	access	VERB
aps-38	321	33	by	by	ADP
aps-38	321	34	more	more	ADJ
aps-38	321	35	people	people	NOUN
aps-38	321	36	.	.	PUNCT
aps-38	322	1	this	this	DET
aps-38	322	2	guide	guide	NOUN
aps-38	322	3	has	have	AUX
aps-38	322	4	been	be	AUX
aps-38	322	5	designed	design	VERB
aps-38	322	6	to	to	PART
aps-38	322	7	introduce	introduce	VERB
aps-38	322	8	researchers	researcher	NOUN
aps-38	322	9	to	to	ADP
aps-38	322	10	spatial	spatial	ADJ
aps-38	322	11	interaction	interaction	NOUN
aps-38	322	12	modelling	modelling	NOUN
aps-38	322	13	in	in	ADP
aps-38	322	14	,	,	PUNCT
aps-38	322	15	hopefully	hopefully	ADV
aps-38	322	16	,	,	PUNCT
aps-38	322	17	an	an	DET
aps-38	322	18	accessible	accessible	ADJ
aps-38	322	19	way	way	NOUN
aps-38	322	20	through	through	ADP
aps-38	322	21	exemplification	exemplification	NOUN
aps-38	322	22	of	of	ADP
aps-38	322	23	two	two	NUM
aps-38	322	24	modelling	model	VERB
aps-38	322	25	frameworks	framework	NOUN
aps-38	322	26	–	–	PUNCT
aps-38	322	27	the	the	DET
aps-38	322	28	wilson	wilson	NOUN
aps-38	322	29	-	-	PUNCT
aps-38	322	30	esque	esque	ADJ
aps-38	322	31	multiplicative	multiplicative	ADJ
aps-38	322	32	framework	framework	NOUN
aps-38	322	33	and	and	CCONJ
aps-38	322	34	the	the	DET
aps-38	322	35	poisson	poisson	NOUN
aps-38	322	36	regression	regression	NOUN
aps-38	322	37	additive	additive	ADJ
aps-38	322	38	modelling	modelling	NOUN
aps-38	322	39	framework	framework	NOUN
aps-38	322	40	–	–	PUNCT
aps-38	322	41	and	and	CCONJ
aps-38	322	42	an	an	DET
aps-38	322	43	accompanying	accompany	VERB
aps-38	322	44	walk	walk	NOUN
aps-38	322	45	-	-	PUNCT
aps-38	322	46	through	through	ADP
aps-38	322	47	guide	guide	NOUN
aps-38	322	48	.	.	PUNCT
aps-38	323	1	https://rpubs.com/adam_dennett/376877	https://rpubs.com/adam_dennett/376877	PUNCT
aps-38	324	1	http://rpubs.com/adam_dennett/376877	http://rpubs.com/adam_dennett/376877	PROPN
aps-38	324	2	http://rpubs.com/adam_dennett/376877	http://rpubs.com/adam_dennett/376877	PROPN
aps-38	324	3	australian	australian	ADJ
aps-38	324	4	population	population	NOUN
aps-38	324	5	studies	study	NOUN
aps-38	324	6	2	2	NUM
aps-38	324	7	(	(	PUNCT
aps-38	324	8	2	2	NUM
aps-38	324	9	)	)	PUNCT
aps-38	324	10	2018	2018	NUM
aps-38	324	11	dennett	dennett	PROPN
aps-38	324	12	57	57	NUM
aps-38	324	13	acknowledgements	acknowledgement	NOUN
aps-38	324	14	thanks	thank	NOUN
aps-38	324	15	to	to	PART
aps-38	324	16	hadrien	hadrien	VERB
aps-38	324	17	salat	salat	NOUN
aps-38	324	18	in	in	ADP
aps-38	324	19	casa	casa	PROPN
aps-38	324	20	who	who	PRON
aps-38	324	21	helped	help	VERB
aps-38	324	22	with	with	ADP
aps-38	324	23	some	some	DET
aps-38	324	24	earlier	early	ADJ
aps-38	324	25	technical	technical	ADJ
aps-38	324	26	errors	error	NOUN
aps-38	324	27	in	in	ADP
aps-38	324	28	the	the	DET
aps-38	324	29	modelling	modelling	NOUN
aps-38	324	30	.	.	PUNCT
aps-38	325	1	references	reference	NOUN
aps-38	325	2	abel	abel	PROPN
aps-38	325	3	g	g	PROPN
aps-38	325	4	j	j	PROPN
aps-38	325	5	(	(	PUNCT
aps-38	325	6	2010	2010	NUM
aps-38	325	7	)	)	PUNCT
aps-38	325	8	estimation	estimation	NOUN
aps-38	325	9	of	of	ADP
aps-38	325	10	international	international	ADJ
aps-38	325	11	migration	migration	NOUN
aps-38	325	12	flow	flow	NOUN
aps-38	325	13	tables	table	NOUN
aps-38	325	14	in	in	ADP
aps-38	325	15	europe	europe	PROPN
aps-38	325	16	:	:	PUNCT
aps-38	325	17	international	international	ADJ
aps-38	325	18	migration	migration	NOUN
aps-38	325	19	flow	flow	NOUN
aps-38	325	20	tables	table	NOUN
aps-38	325	21	.	.	PUNCT
aps-38	326	1	journal	journal	NOUN
aps-38	326	2	of	of	ADP
aps-38	326	3	the	the	DET
aps-38	326	4	royal	royal	ADJ
aps-38	326	5	statistical	statistical	ADJ
aps-38	326	6	society	society	NOUN
aps-38	326	7	.	.	PUNCT
aps-38	327	1	series	series	PROPN
aps-38	327	2	a	a	PROPN
aps-38	327	3	,	,	PUNCT
aps-38	327	4	statistics	statistic	NOUN
aps-38	327	5	in	in	ADP
aps-38	327	6	society	society	NOUN
aps-38	327	7	173(4	173(4	NUM
aps-38	327	8	):	):	PUNCT
aps-38	327	9	797	797	NUM
aps-38	327	10	–	–	PUNCT
aps-38	327	11	825	825	NUM
aps-38	327	12	.	.	PUNCT
aps-38	328	1	congdon	congdon	PROPN
aps-38	328	2	p	p	PROPN
aps-38	328	3	(	(	PUNCT
aps-38	328	4	1993	1993	NUM
aps-38	328	5	)	)	PUNCT
aps-38	328	6	approaches	approach	NOUN
aps-38	328	7	to	to	ADP
aps-38	328	8	modelling	model	VERB
aps-38	328	9	overdispersion	overdispersion	NOUN
aps-38	328	10	in	in	ADP
aps-38	328	11	the	the	DET
aps-38	328	12	analysis	analysis	NOUN
aps-38	328	13	of	of	ADP
aps-38	328	14	migration	migration	NOUN
aps-38	328	15	.	.	PUNCT
aps-38	329	1	environment	environment	NOUN
aps-38	329	2	and	and	CCONJ
aps-38	329	3	planning	plan	VERB
aps-38	329	4	a	a	DET
aps-38	329	5	:	:	PUNCT
aps-38	329	6	economy	economy	NOUN
aps-38	329	7	and	and	CCONJ
aps-38	329	8	space	space	NOUN
aps-38	329	9	25(1	25(1	NUM
aps-38	329	10	):	):	PUNCT
aps-38	329	11	1481–1510	1481–1510	NUM
aps-38	329	12	.	.	PUNCT
aps-38	330	1	congdon	congdon	PROPN
aps-38	330	2	p	p	PROPN
aps-38	330	3	(	(	PUNCT
aps-38	330	4	1988	1988	NUM
aps-38	330	5	)	)	PUNCT
aps-38	330	6	modelling	model	VERB
aps-38	330	7	migration	migration	NOUN
aps-38	330	8	flows	flow	NOUN
aps-38	330	9	between	between	ADP
aps-38	330	10	areas	area	NOUN
aps-38	330	11	:	:	PUNCT
aps-38	330	12	an	an	DET
aps-38	330	13	analysis	analysis	NOUN
aps-38	330	14	for	for	ADP
aps-38	330	15	london	london	PROPN
aps-38	330	16	using	use	VERB
aps-38	330	17	the	the	DET
aps-38	330	18	census	census	NOUN
aps-38	330	19	and	and	CCONJ
aps-38	330	20	opcs	opcs	PROPN
aps-38	330	21	longitudinal	longitudinal	ADJ
aps-38	330	22	study	study	NOUN
aps-38	330	23	.	.	PUNCT
aps-38	331	1	regional	regional	ADJ
aps-38	331	2	studies	study	NOUN
aps-38	331	3	23(2	23(2	NUM
aps-38	331	4	):	):	PUNCT
aps-38	331	5	87–103	87–103	PROPN
aps-38	331	6	.	.	PUNCT
aps-38	331	7	crymble	crymble	PROPN
aps-38	331	8	a	a	PRON
aps-38	331	9	,	,	PUNCT
aps-38	331	10	dennett	dennett	PROPN
aps-38	331	11	a	a	PROPN
aps-38	331	12	and	and	CCONJ
aps-38	331	13	hitchcock	hitchcock	PROPN
aps-38	331	14	t	t	PROPN
aps-38	331	15	(	(	PUNCT
aps-38	331	16	2017	2017	NUM
aps-38	331	17	)	)	PUNCT
aps-38	331	18	modelling	model	VERB
aps-38	331	19	regional	regional	ADJ
aps-38	331	20	imbalances	imbalance	NOUN
aps-38	331	21	in	in	ADP
aps-38	331	22	english	english	ADJ
aps-38	331	23	plebeian	plebeian	ADJ
aps-38	331	24	migration	migration	NOUN
aps-38	331	25	to	to	ADP
aps-38	331	26	late	late	ADJ
aps-38	331	27	eighteenth	eighteenth	ADJ
aps-38	331	28	-	-	PUNCT
aps-38	331	29	century	century	NOUN
aps-38	331	30	london	london	PROPN
aps-38	331	31	.	.	PUNCT
aps-38	332	1	the	the	DET
aps-38	332	2	economic	economic	ADJ
aps-38	332	3	history	history	NOUN
aps-38	332	4	review	review	NOUN
aps-38	332	5	71(3	71(3	NUM
aps-38	332	6	):	):	PUNCT
aps-38	332	7	747	747	NUM
aps-38	332	8	-	-	SYM
aps-38	332	9	771	771	NUM
aps-38	332	10	.	.	PUNCT
aps-38	333	1	dennett	dennett	PROPN
aps-38	333	2	a	a	PROPN
aps-38	333	3	and	and	CCONJ
aps-38	333	4	wilson	wilson	PROPN
aps-38	333	5	a	a	PRON
aps-38	333	6	(	(	PUNCT
aps-38	333	7	2013	2013	NUM
aps-38	333	8	)	)	PUNCT
aps-38	333	9	a	a	DET
aps-38	333	10	multi	multi	ADJ
aps-38	333	11	-	-	ADJ
aps-38	333	12	level	level	ADJ
aps-38	333	13	spatial	spatial	ADJ
aps-38	333	14	interaction	interaction	NOUN
aps-38	333	15	modelling	model	VERB
aps-38	333	16	framework	framework	NOUN
aps-38	333	17	for	for	ADP
aps-38	333	18	estimating	estimate	VERB
aps-38	333	19	inter	inter	ADJ
aps-38	333	20	-	-	ADJ
aps-38	333	21	regional	regional	ADJ
aps-38	333	22	migration	migration	NOUN
aps-38	333	23	in	in	ADP
aps-38	333	24	europe	europe	PROPN
aps-38	333	25	.	.	PUNCT
aps-38	334	1	environment	environment	NOUN
aps-38	334	2	and	and	CCONJ
aps-38	334	3	planning	plan	VERB
aps-38	334	4	a	a	DET
aps-38	334	5	:	:	PUNCT
aps-38	334	6	economy	economy	NOUN
aps-38	334	7	and	and	CCONJ
aps-38	334	8	space	space	NOUN
aps-38	334	9	45(6	45(6	NOUN
aps-38	334	10	):	):	PUNCT
aps-38	334	11	1491–1507	1491–1507	NUM
aps-38	334	12	.	.	PUNCT
aps-38	335	1	erhardt	erhardt	PROPN
aps-38	335	2	g	g	PROPN
aps-38	335	3	d	d	PROPN
aps-38	335	4	and	and	CCONJ
aps-38	335	5	dennett	dennett	PROPN
aps-38	335	6	a	a	DET
aps-38	335	7	(	(	PUNCT
aps-38	335	8	2017	2017	NUM
aps-38	335	9	)	)	PUNCT
aps-38	335	10	understanding	understand	VERB
aps-38	335	11	the	the	DET
aps-38	335	12	role	role	NOUN
aps-38	335	13	and	and	CCONJ
aps-38	335	14	relevance	relevance	NOUN
aps-38	335	15	of	of	ADP
aps-38	335	16	the	the	DET
aps-38	335	17	census	census	NOUN
aps-38	335	18	in	in	ADP
aps-38	335	19	a	a	DET
aps-38	335	20	changing	change	VERB
aps-38	335	21	transportation	transportation	NOUN
aps-38	335	22	data	datum	NOUN
aps-38	335	23	landscape	landscape	NOUN
aps-38	335	24	.	.	PUNCT
aps-38	336	1	paper	paper	NOUN
aps-38	336	2	presented	present	VERB
aps-38	336	3	at	at	ADP
aps-38	336	4	the	the	DET
aps-38	336	5	transportation	transportation	NOUN
aps-38	336	6	research	research	NOUN
aps-38	336	7	board	board	NOUN
aps-38	336	8	conference	conference	NOUN
aps-38	336	9	on	on	ADP
aps-38	336	10	applying	apply	VERB
aps-38	336	11	census	census	NOUN
aps-38	336	12	data	datum	NOUN
aps-38	336	13	for	for	ADP
aps-38	336	14	transportation	transportation	NOUN
aps-38	336	15	,	,	PUNCT
aps-38	336	16	kansas	kansas	PROPN
aps-38	336	17	city	city	PROPN
aps-38	336	18	,	,	PUNCT
aps-38	336	19	missouri	missouri	PROPN
aps-38	336	20	.	.	PUNCT
aps-38	337	1	flowerdew	flowerdew	PROPN
aps-38	337	2	r	r	PROPN
aps-38	337	3	(	(	PUNCT
aps-38	337	4	2010	2010	NUM
aps-38	337	5	)	)	PUNCT
aps-38	337	6	modelling	model	VERB
aps-38	337	7	migration	migration	NOUN
aps-38	337	8	with	with	ADP
aps-38	337	9	poisson	poisson	PROPN
aps-38	337	10	regression	regression	NOUN
aps-38	337	11	.	.	PUNCT
aps-38	338	1	in	in	ADP
aps-38	338	2	:	:	PUNCT
aps-38	338	3	stillwell	stillwell	PROPN
aps-38	338	4	j	j	PROPN
aps-38	338	5	,	,	PUNCT
aps-38	338	6	duke	duke	PROPN
aps-38	338	7	-	-	PUNCT
aps-38	338	8	williams	williams	PROPN
aps-38	338	9	o	o	PROPN
aps-38	338	10	and	and	CCONJ
aps-38	338	11	dennett	dennett	PROPN
aps-38	338	12	a	a	DET
aps-38	338	13	(	(	PUNCT
aps-38	338	14	eds	ed	NOUN
aps-38	338	15	)	)	PUNCT
aps-38	338	16	technologies	technology	NOUN
aps-38	338	17	for	for	ADP
aps-38	338	18	migration	migration	NOUN
aps-38	338	19	and	and	CCONJ
aps-38	338	20	commuting	commute	VERB
aps-38	338	21	analysis	analysis	NOUN
aps-38	338	22	:	:	PUNCT
aps-38	338	23	spatial	spatial	ADJ
aps-38	338	24	interaction	interaction	NOUN
aps-38	338	25	data	datum	NOUN
aps-38	338	26	applications	application	NOUN
aps-38	338	27	.	.	PUNCT
aps-38	339	1	hershey	hershey	PROPN
aps-38	339	2	pa	pa	PROPN
aps-38	339	3	:	:	PUNCT
aps-38	339	4	igi	igi	PROPN
aps-38	339	5	global	global	PROPN
aps-38	339	6	.	.	PUNCT
aps-38	340	1	flowerdew	flowerdew	PROPN
aps-38	340	2	r	r	NOUN
aps-38	340	3	(	(	PUNCT
aps-38	340	4	1982	1982	NUM
aps-38	340	5	)	)	PUNCT
aps-38	340	6	fitting	fit	VERB
aps-38	340	7	the	the	DET
aps-38	340	8	lognormal	lognormal	ADJ
aps-38	340	9	gravity	gravity	NOUN
aps-38	340	10	model	model	NOUN
aps-38	340	11	to	to	ADP
aps-38	340	12	heteroscedastic	heteroscedastic	ADJ
aps-38	340	13	data	datum	NOUN
aps-38	340	14	.	.	PUNCT
aps-38	341	1	geographical	geographical	ADJ
aps-38	341	2	analysis	analysis	NOUN
aps-38	341	3	14(3	14(3	NUM
aps-38	341	4	):	):	PUNCT
aps-38	341	5	263–267	263–267	NUM
aps-38	341	6	.	.	PUNCT
aps-38	342	1	flowerdew	flowerdew	NOUN
aps-38	342	2	r	r	PROPN
aps-38	342	3	and	and	CCONJ
aps-38	342	4	aitkin	aitkin	PROPN
aps-38	342	5	m	m	PROPN
aps-38	342	6	(	(	PUNCT
aps-38	342	7	1982	1982	NUM
aps-38	342	8	)	)	PUNCT
aps-38	342	9	a	a	DET
aps-38	342	10	method	method	NOUN
aps-38	342	11	of	of	ADP
aps-38	342	12	fitting	fit	VERB
aps-38	342	13	the	the	DET
aps-38	342	14	gravity	gravity	NOUN
aps-38	342	15	model	model	NOUN
aps-38	342	16	based	base	VERB
aps-38	342	17	on	on	ADP
aps-38	342	18	the	the	DET
aps-38	342	19	poisson	poisson	NOUN
aps-38	342	20	distribution	distribution	NOUN
aps-38	342	21	.	.	PUNCT
aps-38	343	1	journal	journal	NOUN
aps-38	343	2	of	of	ADP
aps-38	343	3	regional	regional	ADJ
aps-38	343	4	science	science	NOUN
aps-38	343	5	22(2	22(2	NUM
aps-38	343	6	):	):	PUNCT
aps-38	344	1	191–202	191–202	PROPN
aps-38	344	2	.	.	PUNCT
aps-38	345	1	fotheringham	fotheringham	VERB
aps-38	345	2	a	a	DET
aps-38	345	3	s	s	X
aps-38	345	4	(	(	PUNCT
aps-38	345	5	1983	1983	NUM
aps-38	345	6	)	)	PUNCT
aps-38	345	7	a	a	DET
aps-38	345	8	new	new	ADJ
aps-38	345	9	set	set	NOUN
aps-38	345	10	of	of	ADP
aps-38	345	11	spatial	spatial	ADJ
aps-38	345	12	-	-	PUNCT
aps-38	345	13	interaction	interaction	NOUN
aps-38	345	14	models	model	NOUN
aps-38	345	15	:	:	PUNCT
aps-38	345	16	the	the	DET
aps-38	345	17	theory	theory	NOUN
aps-38	345	18	of	of	ADP
aps-38	345	19	competing	compete	VERB
aps-38	345	20	destinations	destination	NOUN
aps-38	345	21	.	.	PUNCT
aps-38	346	1	environment	environment	NOUN
aps-38	346	2	and	and	CCONJ
aps-38	346	3	planning	plan	VERB
aps-38	346	4	a	a	DET
aps-38	346	5	:	:	PUNCT
aps-38	346	6	economy	economy	NOUN
aps-38	346	7	and	and	CCONJ
aps-38	346	8	space	space	NOUN
aps-38	346	9	15(1	15(1	NUM
aps-38	346	10	):	):	PUNCT
aps-38	346	11	15–36	15–36	NUM
aps-38	346	12	.	.	PUNCT
aps-38	347	1	fotheringham	fotheringham	VERB
aps-38	347	2	a	a	DET
aps-38	347	3	s	s	PROPN
aps-38	347	4	,	,	PUNCT
aps-38	347	5	nakaya	nakaya	PROPN
aps-38	347	6	t	t	PROPN
aps-38	347	7	,	,	PUNCT
aps-38	347	8	yano	yano	PROPN
aps-38	347	9	k	k	PROPN
aps-38	347	10	,	,	PUNCT
aps-38	347	11	openshaw	openshaw	NOUN
aps-38	347	12	s	s	PART
aps-38	347	13	and	and	CCONJ
aps-38	347	14	ishikawa	ishikawa	PROPN
aps-38	347	15	y	y	PROPN
aps-38	347	16	(	(	PUNCT
aps-38	347	17	2001	2001	NUM
aps-38	347	18	)	)	PUNCT
aps-38	347	19	hierarchical	hierarchical	ADJ
aps-38	347	20	destination	destination	NOUN
aps-38	347	21	choice	choice	NOUN
aps-38	347	22	and	and	CCONJ
aps-38	347	23	spatial	spatial	ADJ
aps-38	347	24	interaction	interaction	NOUN
aps-38	347	25	modelling	modelling	NOUN
aps-38	347	26	:	:	PUNCT
aps-38	347	27	a	a	DET
aps-38	347	28	simulation	simulation	NOUN
aps-38	347	29	experiment	experiment	NOUN
aps-38	347	30	.	.	PUNCT
aps-38	348	1	environment	environment	NOUN
aps-38	348	2	and	and	CCONJ
aps-38	348	3	planning	plan	VERB
aps-38	348	4	a	a	DET
aps-38	348	5	:	:	PUNCT
aps-38	348	6	economy	economy	NOUN
aps-38	348	7	and	and	CCONJ
aps-38	348	8	space	space	NOUN
aps-38	348	9	33(5	33(5	NUM
aps-38	348	10	):	):	PUNCT
aps-38	348	11	901–920	901–920	NUM
aps-38	348	12	.	.	PUNCT
aps-38	349	1	kim	kim	PROPN
aps-38	349	2	k	k	PROPN
aps-38	349	3	and	and	CCONJ
aps-38	349	4	cohen	cohen	PROPN
aps-38	349	5	j	j	PROPN
aps-38	349	6	e	e	PROPN
aps-38	349	7	(	(	PUNCT
aps-38	349	8	2010	2010	NUM
aps-38	349	9	)	)	PUNCT
aps-38	349	10	determinants	determinant	NOUN
aps-38	349	11	of	of	ADP
aps-38	349	12	international	international	ADJ
aps-38	349	13	migration	migration	NOUN
aps-38	349	14	flows	flow	VERB
aps-38	349	15	to	to	PART
aps-38	349	16	and	and	CCONJ
aps-38	349	17	from	from	ADP
aps-38	349	18	industrialized	industrialized	ADJ
aps-38	349	19	countries	country	NOUN
aps-38	349	20	:	:	PUNCT
aps-38	349	21	a	a	DET
aps-38	349	22	panel	panel	NOUN
aps-38	349	23	data	datum	NOUN
aps-38	349	24	approach	approach	NOUN
aps-38	349	25	beyond	beyond	ADP
aps-38	349	26	gravity	gravity	NOUN
aps-38	349	27	.	.	PUNCT
aps-38	350	1	international	international	ADJ
aps-38	350	2	migration	migration	NOUN
aps-38	350	3	review	review	NOUN
aps-38	350	4	44(4	44(4	NOUN
aps-38	350	5	):	):	PUNCT
aps-38	350	6	899	899	NUM
aps-38	350	7	–	–	PUNCT
aps-38	350	8	932	932	NUM
aps-38	350	9	.	.	PUNCT
aps-38	351	1	lee	lee	PROPN
aps-38	351	2	e	e	PROPN
aps-38	351	3	s	s	X
aps-38	351	4	(	(	PUNCT
aps-38	351	5	1966	1966	NUM
aps-38	351	6	)	)	PUNCT
aps-38	351	7	a	a	DET
aps-38	351	8	theory	theory	NOUN
aps-38	351	9	of	of	ADP
aps-38	351	10	migration	migration	NOUN
aps-38	351	11	.	.	PUNCT
aps-38	352	1	demography	demography	NOUN
aps-38	352	2	3(1	3(1	NUM
aps-38	352	3	):	):	PUNCT
aps-38	352	4	47–57	47–57	NOUN
aps-38	352	5	.	.	PUNCT
aps-38	353	1	lomax	lomax	PROPN
aps-38	353	2	n	n	PROPN
aps-38	353	3	and	and	CCONJ
aps-38	353	4	norman	norman	PROPN
aps-38	353	5	p	p	PROPN
aps-38	353	6	(	(	PUNCT
aps-38	353	7	2016	2016	NUM
aps-38	353	8	)	)	PUNCT
aps-38	353	9	estimating	estimate	VERB
aps-38	353	10	population	population	NOUN
aps-38	353	11	attribute	attribute	NOUN
aps-38	353	12	values	value	NOUN
aps-38	353	13	in	in	ADP
aps-38	353	14	a	a	DET
aps-38	353	15	table	table	NOUN
aps-38	353	16	:	:	PUNCT
aps-38	353	17	“	"	PUNCT
aps-38	353	18	get	get	VERB
aps-38	353	19	me	i	PRON
aps-38	353	20	started	start	VERB
aps-38	353	21	in	in	ADP
aps-38	353	22	”	"	PUNCT
aps-38	353	23	iterative	iterative	NOUN
aps-38	353	24	proportional	proportional	ADJ
aps-38	353	25	fitting	fitting	NOUN
aps-38	353	26	.	.	PUNCT
aps-38	354	1	the	the	DET
aps-38	354	2	professional	professional	ADJ
aps-38	354	3	geographer	geographer	NOUN
aps-38	354	4	68(3	68(3	PROPN
aps-38	354	5	):	):	PUNCT
aps-38	354	6	451–461	451–461	NUM
aps-38	354	7	.	.	PUNCT
aps-38	355	1	lovelace	lovelace	PROPN
aps-38	355	2	r	r	PROPN
aps-38	355	3	(	(	PUNCT
aps-38	355	4	2015	2015	NUM
aps-38	355	5	)	)	PUNCT
aps-38	355	6	estimating	estimate	VERB
aps-38	355	7	distance	distance	NOUN
aps-38	355	8	decay	decay	NOUN
aps-38	355	9	for	for	ADP
aps-38	355	10	the	the	DET
aps-38	355	11	national	national	ADJ
aps-38	355	12	propensity	propensity	NOUN
aps-38	355	13	to	to	PART
aps-38	355	14	cycle	cycle	NOUN
aps-38	355	15	tool	tool	NOUN
aps-38	355	16	.	.	PUNCT
aps-38	356	1	https://www.slideshare.net/itsleeds/estimating-distance-decay-for-the-national-propensityto-cycle-tool	https://www.slideshare.net/itsleeds/estimating-distance-decay-for-the-national-propensityto-cycle-tool	NOUN
aps-38	356	2	.	.	PUNCT
aps-38	357	1	oshan	oshan	PROPN
aps-38	357	2	t	t	PROPN
aps-38	357	3	m	m	PROPN
aps-38	357	4	(	(	PUNCT
aps-38	357	5	2016	2016	NUM
aps-38	357	6	)	)	PUNCT
aps-38	357	7	a	a	DET
aps-38	357	8	primer	primer	NOUN
aps-38	357	9	for	for	ADP
aps-38	357	10	working	work	VERB
aps-38	357	11	with	with	ADP
aps-38	357	12	the	the	DET
aps-38	357	13	spatial	spatial	ADJ
aps-38	357	14	interaction	interaction	NOUN
aps-38	357	15	modeling	modeling	NOUN
aps-38	357	16	(	(	PUNCT
aps-38	357	17	spint	spint	NOUN
aps-38	357	18	)	)	PUNCT
aps-38	357	19	module	module	NOUN
aps-38	357	20	in	in	ADP
aps-38	357	21	the	the	DET
aps-38	357	22	python	python	NOUN
aps-38	357	23	spatial	spatial	ADJ
aps-38	357	24	analysis	analysis	NOUN
aps-38	357	25	library	library	NOUN
aps-38	357	26	(	(	PUNCT
aps-38	357	27	pysal	pysal	NOUN
aps-38	357	28	)	)	PUNCT
aps-38	357	29	.	.	PUNCT
aps-38	358	1	region	region	NOUN
aps-38	358	2	3	3	NUM
aps-38	358	3	:	:	PUNCT
aps-38	358	4	r11	r11	NOUN
aps-38	358	5	–	–	PUNCT
aps-38	358	6	r23	r23	NOUN
aps-38	358	7	.	.	PUNCT
aps-38	359	1	pooler	pooler	PROPN
aps-38	359	2	j	j	PROPN
aps-38	359	3	(	(	PUNCT
aps-38	359	4	1994	1994	NUM
aps-38	359	5	)	)	PUNCT
aps-38	359	6	an	an	DET
aps-38	359	7	extended	extended	ADJ
aps-38	359	8	family	family	NOUN
aps-38	359	9	of	of	ADP
aps-38	359	10	spatial	spatial	ADJ
aps-38	359	11	interaction	interaction	NOUN
aps-38	359	12	models	model	NOUN
aps-38	359	13	.	.	PUNCT
aps-38	360	1	progress	progress	NOUN
aps-38	360	2	in	in	ADP
aps-38	360	3	human	human	ADJ
aps-38	360	4	geography	geography	NOUN
aps-38	360	5	18(1	18(1	NUM
aps-38	360	6	):	):	PUNCT
aps-38	360	7	17–39	17–39	NUM
aps-38	360	8	.	.	PUNCT
aps-38	360	9	https://www.slideshare.net/itsleeds/estimating-distance-decay-for-the-national-propensity-to-cycle-tool	https://www.slideshare.net/itsleeds/estimating-distance-decay-for-the-national-propensity-to-cycle-tool	PROPN
aps-38	360	10	https://www.slideshare.net/itsleeds/estimating-distance-decay-for-the-national-propensity-to-cycle-tool	https://www.slideshare.net/itsleeds/estimating-distance-decay-for-the-national-propensity-to-cycle-tool	PROPN
aps-38	360	11	58	58	NUM
aps-38	360	12	dennett	dennett	PROPN
aps-38	360	13	australian	australian	ADJ
aps-38	360	14	population	population	NOUN
aps-38	360	15	studies	study	NOUN
aps-38	360	16	2	2	NUM
aps-38	360	17	(	(	PUNCT
aps-38	360	18	2	2	NUM
aps-38	360	19	)	)	PUNCT
aps-38	360	20	2018	2018	NUM
aps-38	360	21	pooler	pooler	PROPN
aps-38	360	22	j	j	PROPN
aps-38	360	23	(	(	PUNCT
aps-38	360	24	1987	1987	NUM
aps-38	360	25	)	)	PUNCT
aps-38	360	26	modeling	model	VERB
aps-38	360	27	interprovincial	interprovincial	ADJ
aps-38	360	28	migration	migration	NOUN
aps-38	360	29	using	use	VERB
aps-38	360	30	entropy	entropy	NOUN
aps-38	360	31	-	-	PUNCT
aps-38	360	32	maximizing	maximize	VERB
aps-38	360	33	methods	method	NOUN
aps-38	360	34	.	.	PUNCT
aps-38	361	1	the	the	DET
aps-38	361	2	canadian	canadian	ADJ
aps-38	361	3	geographer	geographer	NOUN
aps-38	361	4	31(1	31(1	NUM
aps-38	361	5	):	):	PUNCT
aps-38	361	6	57–64	57–64	PROPN
aps-38	361	7	.	.	PUNCT
aps-38	362	1	raymer	raymer	PROPN
aps-38	362	2	j	j	PROPN
aps-38	362	3	(	(	PUNCT
aps-38	362	4	2007	2007	NUM
aps-38	362	5	)	)	PUNCT
aps-38	362	6	the	the	DET
aps-38	362	7	estimation	estimation	NOUN
aps-38	362	8	of	of	ADP
aps-38	362	9	international	international	ADJ
aps-38	362	10	migration	migration	NOUN
aps-38	362	11	flows	flow	VERB
aps-38	362	12	:	:	PUNCT
aps-38	362	13	a	a	DET
aps-38	362	14	general	general	ADJ
aps-38	362	15	technique	technique	NOUN
aps-38	362	16	focused	focus	VERB
aps-38	362	17	on	on	ADP
aps-38	362	18	the	the	DET
aps-38	362	19	origin	origin	NOUN
aps-38	362	20	–	–	PUNCT
aps-38	362	21	destination	destination	NOUN
aps-38	362	22	association	association	NOUN
aps-38	362	23	structure	structure	NOUN
aps-38	362	24	.	.	PUNCT
aps-38	363	1	environment	environment	NOUN
aps-38	363	2	and	and	CCONJ
aps-38	363	3	planning	plan	VERB
aps-38	363	4	a	a	DET
aps-38	363	5	:	:	PUNCT
aps-38	363	6	economy	economy	NOUN
aps-38	363	7	and	and	CCONJ
aps-38	363	8	space	space	NOUN
aps-38	363	9	39(4	39(4	NOUN
aps-38	363	10	):	):	PUNCT
aps-38	363	11	985–995	985–995	NUM
aps-38	363	12	.	.	PUNCT
aps-38	364	1	raymer	raymer	PROPN
aps-38	364	2	j	j	PROPN
aps-38	364	3	and	and	CCONJ
aps-38	364	4	abel	abel	PROPN
aps-38	364	5	g	g	PROPN
aps-38	364	6	(	(	PUNCT
aps-38	364	7	2008	2008	NUM
aps-38	364	8	)	)	PUNCT
aps-38	364	9	methods	method	NOUN
aps-38	364	10	to	to	PART
aps-38	364	11	improve	improve	VERB
aps-38	364	12	estimates	estimate	NOUN
aps-38	364	13	of	of	ADP
aps-38	364	14	migration	migration	NOUN
aps-38	364	15	flows	flow	NOUN
aps-38	364	16	–	–	PUNCT
aps-38	364	17	the	the	DET
aps-38	364	18	mimosa	mimosa	NOUN
aps-38	364	19	model	model	NOUN
aps-38	364	20	for	for	ADP
aps-38	364	21	estimating	estimate	VERB
aps-38	364	22	international	international	ADJ
aps-38	364	23	migration	migration	NOUN
aps-38	364	24	flows	flow	NOUN
aps-38	364	25	in	in	ADP
aps-38	364	26	the	the	DET
aps-38	364	27	european	european	PROPN
aps-38	364	28	union	union	PROPN
aps-38	364	29	.	.	PUNCT
aps-38	365	1	unece	unece	PROPN
aps-38	365	2	/	/	SYM
aps-38	365	3	eurostat	eurostat	PROPN
aps-38	365	4	work	work	NOUN
aps-38	365	5	session	session	NOUN
aps-38	365	6	on	on	ADP
aps-38	365	7	migration	migration	NOUN
aps-38	365	8	statistics	statistic	NOUN
aps-38	365	9	,	,	PUNCT
aps-38	365	10	working	work	VERB
aps-38	365	11	paper	paper	NOUN
aps-38	365	12	8	8	NUM
aps-38	365	13	,	,	PUNCT
aps-38	365	14	geneva	geneva	PROPN
aps-38	365	15	.	.	PUNCT
aps-38	366	1	raymer	raymer	PROPN
aps-38	366	2	j	j	PROPN
aps-38	366	3	,	,	PUNCT
aps-38	366	4	abel	abel	PROPN
aps-38	366	5	g	g	PROPN
aps-38	366	6	and	and	CCONJ
aps-38	366	7	smith	smith	PROPN
aps-38	366	8	p	p	PROPN
aps-38	366	9	w	w	PROPN
aps-38	366	10	(	(	PUNCT
aps-38	366	11	2007	2007	NUM
aps-38	366	12	)	)	PUNCT
aps-38	366	13	combining	combine	VERB
aps-38	366	14	census	census	NOUN
aps-38	366	15	and	and	CCONJ
aps-38	366	16	registration	registration	NOUN
aps-38	366	17	data	datum	NOUN
aps-38	366	18	to	to	PART
aps-38	366	19	estimate	estimate	VERB
aps-38	366	20	detailed	detailed	ADJ
aps-38	366	21	elderly	elderly	ADJ
aps-38	366	22	migration	migration	NOUN
aps-38	366	23	flows	flow	NOUN
aps-38	366	24	in	in	ADP
aps-38	366	25	england	england	PROPN
aps-38	366	26	and	and	CCONJ
aps-38	366	27	wales	wales	PROPN
aps-38	366	28	.	.	PUNCT
aps-38	367	1	journal	journal	NOUN
aps-38	367	2	of	of	ADP
aps-38	367	3	the	the	DET
aps-38	367	4	royal	royal	ADJ
aps-38	367	5	statistical	statistical	ADJ
aps-38	367	6	society	society	NOUN
aps-38	367	7	.	.	PUNCT
aps-38	368	1	series	series	PROPN
aps-38	368	2	a	a	PROPN
aps-38	368	3	,	,	PUNCT
aps-38	368	4	statistics	statistic	NOUN
aps-38	368	5	in	in	ADP
aps-38	368	6	society	society	NOUN
aps-38	368	7	170(4	170(4	NUM
aps-38	368	8	):	):	PUNCT
aps-38	368	9	891–908	891–908	NUM
aps-38	368	10	.	.	PUNCT
aps-38	369	1	raymer	raymer	PROPN
aps-38	369	2	j	j	PROPN
aps-38	369	3	and	and	CCONJ
aps-38	369	4	giulietti	giulietti	PROPN
aps-38	369	5	c	c	PROPN
aps-38	369	6	(	(	PUNCT
aps-38	369	7	2010	2010	NUM
aps-38	369	8	)	)	PUNCT
aps-38	369	9	analysing	analyse	VERB
aps-38	369	10	structures	structure	NOUN
aps-38	369	11	of	of	ADP
aps-38	369	12	interregional	interregional	ADJ
aps-38	369	13	migration	migration	NOUN
aps-38	369	14	in	in	ADP
aps-38	369	15	england	england	PROPN
aps-38	369	16	.	.	PUNCT
aps-38	370	1	in	in	ADP
aps-38	370	2	:	:	PUNCT
aps-38	370	3	stillwell	stillwell	PROPN
aps-38	370	4	j	j	PROPN
aps-38	370	5	,	,	PUNCT
aps-38	370	6	duke	duke	PROPN
aps-38	370	7	-	-	PUNCT
aps-38	370	8	williams	williams	PROPN
aps-38	370	9	o	o	PROPN
aps-38	370	10	and	and	CCONJ
aps-38	370	11	dennett	dennett	PROPN
aps-38	370	12	a	a	DET
aps-38	370	13	(	(	PUNCT
aps-38	370	14	eds	ed	NOUN
aps-38	370	15	)	)	PUNCT
aps-38	370	16	technologies	technology	NOUN
aps-38	370	17	for	for	ADP
aps-38	370	18	migration	migration	NOUN
aps-38	370	19	and	and	CCONJ
aps-38	370	20	commuting	commute	VERB
aps-38	370	21	analysis	analysis	NOUN
aps-38	370	22	:	:	PUNCT
aps-38	370	23	spatial	spatial	ADJ
aps-38	370	24	interaction	interaction	NOUN
aps-38	370	25	data	datum	NOUN
aps-38	370	26	applications	application	NOUN
aps-38	370	27	.	.	PUNCT
aps-38	371	1	hershey	hershey	PROPN
aps-38	371	2	pa	pa	PROPN
aps-38	371	3	:	:	PUNCT
aps-38	371	4	igi	igi	PROPN
aps-38	371	5	global	global	PROPN
aps-38	371	6	.	.	PUNCT
aps-38	372	1	rees	rees	PROPN
aps-38	372	2	p	p	PROPN
aps-38	372	3	(	(	PUNCT
aps-38	372	4	1977	1977	NUM
aps-38	372	5	)	)	PUNCT
aps-38	372	6	the	the	DET
aps-38	372	7	measurement	measurement	NOUN
aps-38	372	8	of	of	ADP
aps-38	372	9	migration	migration	NOUN
aps-38	372	10	from	from	ADP
aps-38	372	11	census	census	NOUN
aps-38	372	12	data	datum	NOUN
aps-38	372	13	and	and	CCONJ
aps-38	372	14	other	other	ADJ
aps-38	372	15	sources	source	NOUN
aps-38	372	16	.	.	PUNCT
aps-38	373	1	environment	environment	NOUN
aps-38	373	2	and	and	CCONJ
aps-38	373	3	planning	plan	VERB
aps-38	373	4	a	a	DET
aps-38	373	5	:	:	PUNCT
aps-38	373	6	economy	economy	NOUN
aps-38	373	7	and	and	CCONJ
aps-38	373	8	space	space	NOUN
aps-38	373	9	9(3	9(3	NUM
aps-38	373	10	):	):	PUNCT
aps-38	373	11	257–280	257–280	NUM
aps-38	373	12	.	.	PUNCT
aps-38	374	1	rogers	rogers	PROPN
aps-38	374	2	a	a	DET
aps-38	374	3	and	and	CCONJ
aps-38	374	4	raymer	raymer	PROPN
aps-38	374	5	j	j	PROPN
aps-38	374	6	(	(	PUNCT
aps-38	374	7	1998	1998	NUM
aps-38	374	8	)	)	PUNCT
aps-38	374	9	the	the	DET
aps-38	374	10	spatial	spatial	ADJ
aps-38	374	11	focus	focus	NOUN
aps-38	374	12	of	of	ADP
aps-38	374	13	us	us	PROPN
aps-38	374	14	interstate	interstate	ADJ
aps-38	374	15	migration	migration	NOUN
aps-38	374	16	flows	flow	NOUN
aps-38	374	17	.	.	PUNCT
aps-38	375	1	population	population	NOUN
aps-38	375	2	,	,	PUNCT
aps-38	375	3	space	space	NOUN
aps-38	375	4	and	and	CCONJ
aps-38	375	5	place	place	NOUN
aps-38	375	6	4(1	4(1	NOUN
aps-38	375	7	):	):	PUNCT
aps-38	375	8	63–80	63–80	PROPN
aps-38	375	9	.	.	PUNCT
aps-38	376	1	senior	senior	ADJ
aps-38	376	2	m	m	PROPN
aps-38	376	3	l	l	NOUN
aps-38	376	4	(	(	PUNCT
aps-38	376	5	1979	1979	NUM
aps-38	376	6	)	)	PUNCT
aps-38	376	7	from	from	ADP
aps-38	376	8	gravity	gravity	NOUN
aps-38	376	9	modelling	modelling	NOUN
aps-38	376	10	to	to	PART
aps-38	376	11	entropy	entropy	VERB
aps-38	376	12	maximizing	maximize	VERB
aps-38	376	13	:	:	PUNCT
aps-38	376	14	a	a	DET
aps-38	376	15	pedagogic	pedagogic	ADJ
aps-38	376	16	guide	guide	NOUN
aps-38	376	17	.	.	PUNCT
aps-38	377	1	progress	progress	NOUN
aps-38	377	2	in	in	ADP
aps-38	377	3	human	human	ADJ
aps-38	377	4	geography	geography	NOUN
aps-38	377	5	3(2	3(2	NUM
aps-38	377	6	):	):	PUNCT
aps-38	377	7	175–210	175–210	NUM
aps-38	377	8	.	.	PUNCT
aps-38	378	1	shen	shen	PROPN
aps-38	378	2	j	j	PROPN
aps-38	378	3	(	(	PUNCT
aps-38	378	4	2017	2017	NUM
aps-38	378	5	)	)	PUNCT
aps-38	378	6	modelling	model	VERB
aps-38	378	7	interregional	interregional	ADJ
aps-38	378	8	migration	migration	NOUN
aps-38	378	9	in	in	ADP
aps-38	378	10	china	china	PROPN
aps-38	378	11	in	in	ADP
aps-38	378	12	2005–2010	2005–2010	NUM
aps-38	378	13	:	:	PUNCT
aps-38	378	14	the	the	DET
aps-38	378	15	roles	role	NOUN
aps-38	378	16	of	of	ADP
aps-38	378	17	regional	regional	ADJ
aps-38	378	18	attributes	attribute	NOUN
aps-38	378	19	and	and	CCONJ
aps-38	378	20	spatial	spatial	ADJ
aps-38	378	21	interaction	interaction	NOUN
aps-38	378	22	effects	effect	NOUN
aps-38	378	23	in	in	ADP
aps-38	378	24	modelling	model	VERB
aps-38	378	25	error	error	NOUN
aps-38	378	26	.	.	PUNCT
aps-38	379	1	population	population	NOUN
aps-38	379	2	,	,	PUNCT
aps-38	379	3	space	space	NOUN
aps-38	379	4	and	and	CCONJ
aps-38	379	5	place	place	NOUN
aps-38	379	6	23(3	23(3	NOUN
aps-38	379	7	):	):	PUNCT
aps-38	379	8	e2014	e2014	PROPN
aps-38	379	9	.	.	PUNCT
aps-38	380	1	shen	shen	PROPN
aps-38	380	2	j	j	PROPN
aps-38	380	3	(	(	PUNCT
aps-38	380	4	2015	2015	NUM
aps-38	380	5	)	)	PUNCT
aps-38	380	6	explaining	explain	VERB
aps-38	380	7	interregional	interregional	ADJ
aps-38	380	8	migration	migration	NOUN
aps-38	380	9	changes	change	NOUN
aps-38	380	10	in	in	ADP
aps-38	380	11	china	china	PROPN
aps-38	380	12	,	,	PUNCT
aps-38	380	13	1985–2000	1985–2000	NUM
aps-38	380	14	,	,	PUNCT
aps-38	380	15	using	use	VERB
aps-38	380	16	a	a	DET
aps-38	380	17	decomposition	decomposition	NOUN
aps-38	380	18	approach	approach	NOUN
aps-38	380	19	.	.	PUNCT
aps-38	381	1	regional	regional	ADJ
aps-38	381	2	studies	study	NOUN
aps-38	381	3	49(7	49(7	NUM
aps-38	381	4	):	):	PUNCT
aps-38	381	5	1176–1192	1176–1192	NUM
aps-38	381	6	.	.	PUNCT
aps-38	382	1	stillwell	stillwell	PROPN
aps-38	382	2	j	j	PROPN
aps-38	382	3	(	(	PUNCT
aps-38	382	4	1978	1978	NUM
aps-38	382	5	)	)	PUNCT
aps-38	382	6	interzonal	interzonal	ADJ
aps-38	382	7	migration	migration	NOUN
aps-38	382	8	:	:	PUNCT
aps-38	382	9	some	some	DET
aps-38	382	10	historical	historical	ADJ
aps-38	382	11	tests	test	NOUN
aps-38	382	12	of	of	ADP
aps-38	382	13	spatial	spatial	ADJ
aps-38	382	14	-	-	PUNCT
aps-38	382	15	interaction	interaction	NOUN
aps-38	382	16	models	model	NOUN
aps-38	382	17	.	.	PUNCT
aps-38	383	1	environment	environment	NOUN
aps-38	383	2	and	and	CCONJ
aps-38	383	3	planning	plan	VERB
aps-38	383	4	a	a	DET
aps-38	383	5	:	:	PUNCT
aps-38	383	6	economy	economy	NOUN
aps-38	383	7	and	and	CCONJ
aps-38	383	8	space	space	NOUN
aps-38	383	9	10(1	10(1	NUM
aps-38	383	10	):	):	PUNCT
aps-38	383	11	1187–1200	1187–1200	NUM
aps-38	383	12	.	.	PUNCT
aps-38	384	1	taylor	taylor	PROPN
aps-38	384	2	p	p	PROPN
aps-38	384	3	j	j	PROPN
aps-38	384	4	(	(	PUNCT
aps-38	384	5	1983	1983	NUM
aps-38	384	6	)	)	PUNCT
aps-38	384	7	distance	distance	NOUN
aps-38	384	8	decay	decay	NOUN
aps-38	384	9	in	in	ADP
aps-38	384	10	spatial	spatial	ADJ
aps-38	384	11	interactions	interaction	NOUN
aps-38	384	12	.	.	PUNCT
aps-38	385	1	norwich	norwich	NOUN
aps-38	385	2	:	:	PUNCT
aps-38	385	3	geo	geo	PROPN
aps-38	385	4	books	books	PROPN
aps-38	385	5	.	.	PUNCT
aps-38	386	1	willekens	willeken	VERB
aps-38	386	2	f	f	PROPN
aps-38	386	3	(	(	PUNCT
aps-38	386	4	1999	1999	NUM
aps-38	386	5	)	)	PUNCT
aps-38	386	6	modeling	model	VERB
aps-38	386	7	approaches	approach	NOUN
aps-38	386	8	to	to	ADP
aps-38	386	9	the	the	DET
aps-38	386	10	indirect	indirect	ADJ
aps-38	386	11	estimation	estimation	NOUN
aps-38	386	12	of	of	ADP
aps-38	386	13	migration	migration	NOUN
aps-38	386	14	flows	flow	VERB
aps-38	386	15	:	:	PUNCT
aps-38	386	16	from	from	ADP
aps-38	386	17	entropy	entropy	NOUN
aps-38	386	18	to	to	ADP
aps-38	386	19	em	em	PRON
aps-38	386	20	.	.	PUNCT
aps-38	387	1	mathematical	mathematical	ADJ
aps-38	387	2	population	population	NOUN
aps-38	387	3	studies	study	NOUN
aps-38	387	4	7(3	7(3	NUM
aps-38	387	5	):	):	PUNCT
aps-38	387	6	239–278	239–278	NUM
aps-38	387	7	.	.	PUNCT
aps-38	388	1	wilson	wilson	PROPN
aps-38	388	2	a	a	PRON
aps-38	388	3	(	(	PUNCT
aps-38	388	4	1971	1971	NUM
aps-38	388	5	)	)	PUNCT
aps-38	388	6	a	a	DET
aps-38	388	7	family	family	NOUN
aps-38	388	8	of	of	ADP
aps-38	388	9	spatial	spatial	ADJ
aps-38	388	10	interaction	interaction	NOUN
aps-38	388	11	models	model	NOUN
aps-38	388	12	,	,	PUNCT
aps-38	388	13	and	and	CCONJ
aps-38	388	14	associated	associated	ADJ
aps-38	388	15	developments	development	NOUN
aps-38	388	16	.	.	PUNCT
aps-38	389	1	environment	environment	NOUN
aps-38	389	2	and	and	CCONJ
aps-38	389	3	planning	plan	VERB
aps-38	389	4	a	a	DET
aps-38	389	5	:	:	PUNCT
aps-38	389	6	economy	economy	NOUN
aps-38	389	7	and	and	CCONJ
aps-38	389	8	space	space	NOUN
aps-38	389	9	3(1	3(1	NUM
aps-38	389	10	):	):	PUNCT
aps-38	389	11	1–32	1–32	PROPN
aps-38	389	12	.	.	PUNCT
aps-38	390	1	zipf	zipf	PROPN
aps-38	390	2	g	g	PROPN
aps-38	390	3	k	k	PROPN
aps-38	390	4	(	(	PUNCT
aps-38	390	5	1946	1946	NUM
aps-38	390	6	)	)	PUNCT
aps-38	390	7	the	the	DET
aps-38	390	8	p1	p1	NOUN
aps-38	390	9	p2	p2	PROPN
aps-38	390	10	/	/	SYM
aps-38	391	1	d	d	NOUN
aps-38	391	2	hypothesis	hypothesis	NOUN
aps-38	391	3	:	:	PUNCT
aps-38	391	4	on	on	ADP
aps-38	391	5	the	the	DET
aps-38	391	6	intercity	intercity	NOUN
aps-38	391	7	movement	movement	NOUN
aps-38	391	8	of	of	ADP
aps-38	391	9	persons	person	NOUN
aps-38	391	10	.	.	PUNCT
aps-38	392	1	american	american	ADJ
aps-38	392	2	sociological	sociological	ADJ
aps-38	392	3	review	review	PROPN
aps-38	392	4	11(6	11(6	NUM
aps-38	392	5	):	):	PUNCT
aps-38	392	6	677–686	677–686	NUM
aps-38	392	7	.	.	PUNCT