id	sid	tid	token	lemma	pos
aps-114	1	1	australian	australian	ADJ
aps-114	1	2	population	population	NOUN
aps-114	1	3	studies	study	NOUN
aps-114	1	4	2023	2023	NUM
aps-114	1	5	|	|	ADV
aps-114	1	6	volume	volume	NOUN
aps-114	1	7	7	7	NUM
aps-114	1	8	|	|	NOUN
aps-114	1	9	issue	issue	VERB
aps-114	1	10	1	1	NUM
aps-114	1	11	|	|	NOUN
aps-114	1	12	pages	page	NOUN
aps-114	1	13	30	30	NUM
aps-114	1	14	-	-	SYM
aps-114	1	15	33	33	NUM
aps-114	1	16	©	©	PROPN
aps-114	1	17	grossman	grossman	NOUN
aps-114	1	18	2023	2023	NUM
aps-114	1	19	.	.	PUNCT
aps-114	2	1	published	publish	VERB
aps-114	2	2	under	under	ADP
aps-114	2	3	the	the	DET
aps-114	2	4	creative	creative	ADJ
aps-114	2	5	commons	common	NOUN
aps-114	2	6	attribution	attribution	NOUN
aps-114	2	7	-	-	PUNCT
aps-114	2	8	noncommercial	noncommercial	ADJ
aps-114	2	9	licence	licence	NOUN
aps-114	2	10	3.0	3.0	NUM
aps-114	2	11	australia	australia	NOUN
aps-114	2	12	(	(	PUNCT
aps-114	2	13	cc	cc	NOUN
aps-114	2	14	by	by	ADP
aps-114	2	15	-	-	PUNCT
aps-114	2	16	nc	nc	PROPN
aps-114	2	17	3.0	3.0	NUM
aps-114	2	18	au	au	NOUN
aps-114	2	19	)	)	PUNCT
aps-114	2	20	.	.	PUNCT
aps-114	3	1	journal	journal	PROPN
aps-114	3	2	website	website	NOUN
aps-114	3	3	:	:	PUNCT
aps-114	3	4	www.australianpopulationstudies.org	www.australianpopulationstudies.org	X
aps-114	3	5	visualising	visualise	VERB
aps-114	3	6	the	the	DET
aps-114	3	7	impact	impact	NOUN
aps-114	3	8	of	of	ADP
aps-114	3	9	covid-19	covid-19	PROPN
aps-114	3	10	on	on	ADP
aps-114	3	11	australian	australian	ADJ
aps-114	3	12	sa3	sa3	PROPN
aps-114	3	13	populations	population	NOUN
aps-114	3	14	irina	irina	PROPN
aps-114	3	15	grossman	grossman	PROPN
aps-114	3	16	the	the	DET
aps-114	3	17	university	university	PROPN
aps-114	3	18	of	of	ADP
aps-114	3	19	melbourne	melbourne	PROPN
aps-114	3	20	email	email	NOUN
aps-114	3	21	:	:	PUNCT
aps-114	3	22	irina.grossman@unimelb.edu.au	irina.grossman@unimelb.edu.au	PROPN
aps-114	3	23	.	.	PUNCT
aps-114	3	24	address	address	NOUN
aps-114	3	25	:	:	PUNCT
aps-114	3	26	melbourne	melbourne	PROPN
aps-114	3	27	school	school	NOUN
aps-114	3	28	of	of	ADP
aps-114	3	29	population	population	NOUN
aps-114	3	30	and	and	CCONJ
aps-114	3	31	global	global	ADJ
aps-114	3	32	health	health	NOUN
aps-114	3	33	,	,	PUNCT
aps-114	3	34	level	level	NOUN
aps-114	3	35	5	5	NUM
aps-114	3	36	,	,	PUNCT
aps-114	3	37	207	207	NUM
aps-114	3	38	bouverie	bouverie	PROPN
aps-114	3	39	st	st	PROPN
aps-114	3	40	,	,	PUNCT
aps-114	3	41	the	the	DET
aps-114	3	42	university	university	PROPN
aps-114	3	43	of	of	ADP
aps-114	3	44	melbourne	melbourne	PROPN
aps-114	3	45	,	,	PUNCT
aps-114	3	46	victoria	victoria	PROPN
aps-114	3	47	3010	3010	NUM
aps-114	3	48	australia	australia	PROPN
aps-114	3	49	.	.	PUNCT
aps-114	3	50	received	receive	VERB
aps-114	3	51	12	12	NUM
aps-114	3	52	october	october	PROPN
aps-114	3	53	2022	2022	NUM
aps-114	3	54	;	;	PUNCT
aps-114	3	55	accepted	accept	VERB
aps-114	3	56	6	6	NUM
aps-114	3	57	march	march	NOUN
aps-114	3	58	2023	2023	NUM
aps-114	3	59	;	;	PUNCT
aps-114	3	60	published	publish	VERB
aps-114	3	61	6	6	NUM
aps-114	3	62	december	december	PROPN
aps-114	3	63	2023	2023	NUM
aps-114	3	64	introduction	introduction	NOUN
aps-114	3	65	the	the	DET
aps-114	3	66	covid-19	covid-19	PROPN
aps-114	3	67	pandemic	pandemic	NOUN
aps-114	3	68	,	,	PUNCT
aps-114	3	69	and	and	CCONJ
aps-114	3	70	the	the	DET
aps-114	3	71	related	related	ADJ
aps-114	3	72	health	health	NOUN
aps-114	3	73	measures	measure	NOUN
aps-114	3	74	implemented	implement	VERB
aps-114	3	75	to	to	PART
aps-114	3	76	control	control	VERB
aps-114	3	77	its	its	PRON
aps-114	3	78	spread	spread	NOUN
aps-114	3	79	resulted	result	VERB
aps-114	3	80	in	in	ADP
aps-114	3	81	significant	significant	ADJ
aps-114	3	82	changes	change	NOUN
aps-114	3	83	in	in	ADP
aps-114	3	84	australian	australian	ADJ
aps-114	3	85	international	international	ADJ
aps-114	3	86	and	and	CCONJ
aps-114	3	87	internal	internal	ADJ
aps-114	3	88	migration	migration	NOUN
aps-114	3	89	.	.	PUNCT
aps-114	4	1	for	for	ADP
aps-114	4	2	example	example	NOUN
aps-114	4	3	,	,	PUNCT
aps-114	4	4	net	net	ADJ
aps-114	4	5	overseas	overseas	ADJ
aps-114	4	6	migration	migration	NOUN
aps-114	4	7	was	be	AUX
aps-114	4	8	192,700	192,700	NUM
aps-114	4	9	in	in	ADP
aps-114	4	10	2019	2019	NUM
aps-114	4	11	-	-	SYM
aps-114	4	12	20	20	NUM
aps-114	4	13	,	,	PUNCT
aps-114	4	14	but	but	CCONJ
aps-114	4	15	decreased	decrease	VERB
aps-114	4	16	to	to	ADP
aps-114	4	17	-84,940	-84,940	PUNCT
aps-114	4	18	in	in	ADP
aps-114	4	19	2020	2020	NUM
aps-114	4	20	-	-	SYM
aps-114	4	21	21	21	NUM
aps-114	4	22	(	(	PUNCT
aps-114	4	23	abs	ab	NOUN
aps-114	4	24	2022	2022	NUM
aps-114	4	25	)	)	PUNCT
aps-114	4	26	.	.	PUNCT
aps-114	5	1	it	it	PRON
aps-114	5	2	is	be	AUX
aps-114	5	3	difficult	difficult	ADJ
aps-114	5	4	to	to	PART
aps-114	5	5	understand	understand	VERB
aps-114	5	6	how	how	SCONJ
aps-114	5	7	this	this	DET
aps-114	5	8	population	population	NOUN
aps-114	5	9	decrease	decrease	NOUN
aps-114	5	10	was	be	AUX
aps-114	5	11	distributed	distribute	VERB
aps-114	5	12	at	at	ADP
aps-114	5	13	the	the	DET
aps-114	5	14	smaller	small	ADJ
aps-114	5	15	area	area	NOUN
aps-114	5	16	level	level	NOUN
aps-114	5	17	,	,	PUNCT
aps-114	5	18	particularly	particularly	ADV
aps-114	5	19	as	as	SCONJ
aps-114	5	20	there	there	PRON
aps-114	5	21	were	be	VERB
aps-114	5	22	also	also	ADV
aps-114	5	23	changes	change	NOUN
aps-114	5	24	in	in	ADP
aps-114	5	25	historic	historic	ADJ
aps-114	5	26	internal	internal	ADJ
aps-114	5	27	migration	migration	NOUN
aps-114	5	28	trends	trend	NOUN
aps-114	5	29	,	,	PUNCT
aps-114	5	30	including	include	VERB
aps-114	5	31	an	an	DET
aps-114	5	32	increase	increase	NOUN
aps-114	5	33	in	in	ADP
aps-114	5	34	migration	migration	NOUN
aps-114	5	35	to	to	ADP
aps-114	5	36	regional	regional	ADJ
aps-114	5	37	areas	area	NOUN
aps-114	5	38	from	from	ADP
aps-114	5	39	capital	capital	NOUN
aps-114	5	40	cities	city	NOUN
aps-114	5	41	(	(	PUNCT
aps-114	5	42	stephens	stephens	PROPN
aps-114	5	43	et	et	PROPN
aps-114	5	44	al	al	PROPN
aps-114	5	45	.	.	PROPN
aps-114	5	46	,	,	PUNCT
aps-114	5	47	2022	2022	NUM
aps-114	5	48	)	)	PUNCT
aps-114	5	49	.	.	PUNCT
aps-114	6	1	the	the	DET
aps-114	6	2	key	key	ADJ
aps-114	6	3	aim	aim	NOUN
aps-114	6	4	of	of	ADP
aps-114	6	5	this	this	DET
aps-114	6	6	data	data	NOUN
aps-114	6	7	visualisation	visualisation	NOUN
aps-114	6	8	is	be	AUX
aps-114	6	9	to	to	PART
aps-114	6	10	investigate	investigate	VERB
aps-114	6	11	how	how	SCONJ
aps-114	6	12	covid-19	covid-19	PROPN
aps-114	6	13	impacted	impact	VERB
aps-114	6	14	populations	population	NOUN
aps-114	6	15	at	at	ADP
aps-114	6	16	the	the	DET
aps-114	6	17	sa3	sa3	NOUN
aps-114	6	18	level	level	NOUN
aps-114	6	19	by	by	ADP
aps-114	6	20	comparing	compare	VERB
aps-114	6	21	2021	2021	NUM
aps-114	6	22	population	population	NOUN
aps-114	6	23	estimates	estimate	NOUN
aps-114	6	24	with	with	ADP
aps-114	6	25	possible	possible	ADJ
aps-114	6	26	populations	population	NOUN
aps-114	6	27	if	if	SCONJ
aps-114	6	28	covid-19	covid-19	PROPN
aps-114	6	29	had	have	AUX
aps-114	6	30	not	not	PART
aps-114	6	31	occurred	occur	VERB
aps-114	6	32	.	.	PUNCT
aps-114	7	1	data	datum	NOUN
aps-114	7	2	and	and	CCONJ
aps-114	7	3	methods	method	NOUN
aps-114	7	4	possible	possible	ADJ
aps-114	7	5	populations	population	NOUN
aps-114	7	6	for	for	ADP
aps-114	7	7	a	a	DET
aps-114	7	8	no	no	DET
aps-114	7	9	-	-	PUNCT
aps-114	7	10	covid	covid	NOUN
aps-114	7	11	scenario	scenario	NOUN
aps-114	7	12	were	be	AUX
aps-114	7	13	created	create	VERB
aps-114	7	14	for	for	ADP
aps-114	7	15	sa3	sa3	NOUN
aps-114	7	16	areas	area	NOUN
aps-114	7	17	using	use	VERB
aps-114	7	18	estimated	estimate	VERB
aps-114	7	19	resident	resident	ADJ
aps-114	7	20	populations	population	NOUN
aps-114	7	21	(	(	PUNCT
aps-114	7	22	erps	erps	PROPN
aps-114	7	23	)	)	PUNCT
aps-114	7	24	from	from	ADP
aps-114	7	25	2016	2016	NUM
aps-114	7	26	and	and	CCONJ
aps-114	7	27	2019	2019	NUM
aps-114	7	28	,	,	PUNCT
aps-114	7	29	which	which	PRON
aps-114	7	30	are	be	AUX
aps-114	7	31	found	find	VERB
aps-114	7	32	in	in	ADP
aps-114	7	33	‘	'	PUNCT
aps-114	7	34	table	table	NOUN
aps-114	7	35	2	2	NUM
aps-114	7	36	.	.	PUNCT
aps-114	7	37	estimated	estimate	VERB
aps-114	7	38	resident	resident	ADJ
aps-114	7	39	population	population	NOUN
aps-114	7	40	,	,	PUNCT
aps-114	7	41	statistical	statistical	ADJ
aps-114	7	42	areas	area	NOUN
aps-114	7	43	level	level	VERB
aps-114	7	44	3	3	NUM
aps-114	7	45	(	(	PUNCT
aps-114	7	46	asgs	asg	NOUN
aps-114	7	47	2021	2021	NUM
aps-114	7	48	)	)	PUNCT
aps-114	7	49	,	,	PUNCT
aps-114	7	50	australia	australia	PROPN
aps-114	7	51	’	'	PUNCT
aps-114	7	52	,	,	PUNCT
aps-114	7	53	of	of	ADP
aps-114	7	54	the	the	DET
aps-114	7	55	‘	'	PUNCT
aps-114	7	56	population	population	NOUN
aps-114	7	57	estimates	estimate	NOUN
aps-114	7	58	by	by	ADP
aps-114	7	59	sa2	sa2	NOUN
aps-114	7	60	and	and	CCONJ
aps-114	7	61	above	above	ADV
aps-114	7	62	(	(	PUNCT
aps-114	7	63	asgs	asg	NOUN
aps-114	7	64	2021	2021	NUM
aps-114	7	65	)	)	PUNCT
aps-114	7	66	,	,	PUNCT
aps-114	7	67	2001	2001	NUM
aps-114	7	68	to	to	ADP
aps-114	7	69	2021	2021	NUM
aps-114	7	70	’	'	PUNCT
aps-114	7	71	data	datum	NOUN
aps-114	7	72	cube	cube	NOUN
aps-114	7	73	(	(	PUNCT
aps-114	7	74	abs	ab	NOUN
aps-114	7	75	2021a	2021a	NUM
aps-114	7	76	)	)	PUNCT
aps-114	7	77	.	.	PUNCT
aps-114	8	1	the	the	DET
aps-114	8	2	no	no	DET
aps-114	8	3	-	-	PUNCT
aps-114	8	4	covid	covid	PROPN
aps-114	8	5	scenario	scenario	NOUN
aps-114	8	6	populations	population	NOUN
aps-114	8	7	were	be	AUX
aps-114	8	8	created	create	VERB
aps-114	8	9	by	by	ADP
aps-114	8	10	applying	apply	VERB
aps-114	8	11	the	the	DET
aps-114	8	12	average	average	ADJ
aps-114	8	13	growth	growth	NOUN
aps-114	8	14	rate	rate	NOUN
aps-114	8	15	from	from	ADP
aps-114	8	16	2016	2016	NUM
aps-114	8	17	to	to	ADP
aps-114	8	18	2019	2019	NUM
aps-114	8	19	to	to	ADP
aps-114	8	20	the	the	DET
aps-114	8	21	2019	2019	NUM
aps-114	8	22	data	datum	NOUN
aps-114	8	23	in	in	ADP
aps-114	8	24	order	order	NOUN
aps-114	8	25	to	to	PART
aps-114	8	26	project	project	VERB
aps-114	8	27	the	the	DET
aps-114	8	28	sa3	sa3	NOUN
aps-114	8	29	populations	population	NOUN
aps-114	8	30	to	to	ADP
aps-114	8	31	2021	2021	NUM
aps-114	8	32	.	.	PUNCT
aps-114	9	1	to	to	PART
aps-114	9	2	investigate	investigate	VERB
aps-114	9	3	the	the	DET
aps-114	9	4	potential	potential	ADJ
aps-114	9	5	impact	impact	NOUN
aps-114	9	6	of	of	ADP
aps-114	9	7	covid-19	covid-19	PROPN
aps-114	9	8	on	on	ADP
aps-114	9	9	sa3	sa3	NOUN
aps-114	9	10	populations	population	NOUN
aps-114	9	11	the	the	DET
aps-114	9	12	absolute	absolute	ADJ
aps-114	9	13	percentage	percentage	NOUN
aps-114	9	14	differences	difference	NOUN
aps-114	9	15	between	between	ADP
aps-114	9	16	the	the	DET
aps-114	9	17	2021	2021	NUM
aps-114	9	18	sa3	sa3	NOUN
aps-114	9	19	populations	population	NOUN
aps-114	9	20	of	of	ADP
aps-114	9	21	the	the	DET
aps-114	9	22	no	no	DET
aps-114	9	23	-	-	PUNCT
aps-114	9	24	covid	covid	NOUN
aps-114	9	25	scenario	scenario	NOUN
aps-114	9	26	and	and	CCONJ
aps-114	9	27	the	the	DET
aps-114	9	28	2021	2021	NUM
aps-114	9	29	sa3	sa3	NOUN
aps-114	9	30	erps	erps	PROPN
aps-114	9	31	were	be	AUX
aps-114	9	32	calculated	calculate	VERB
aps-114	9	33	.	.	PUNCT
aps-114	10	1	these	these	DET
aps-114	10	2	differences	difference	NOUN
aps-114	10	3	were	be	AUX
aps-114	10	4	then	then	ADV
aps-114	10	5	visualised	visualise	VERB
aps-114	10	6	on	on	ADP
aps-114	10	7	a	a	DET
aps-114	10	8	mosaic	mosaic	ADJ
aps-114	10	9	cartogram	cartogram	NOUN
aps-114	10	10	of	of	ADP
aps-114	10	11	australian	australian	PROPN
aps-114	10	12	sa3	sa3	PROPN
aps-114	10	13	areas	area	NOUN
aps-114	10	14	.	.	PUNCT
aps-114	11	1	mosaic	mosaic	ADJ
aps-114	11	2	cartograms	cartogram	NOUN
aps-114	11	3	are	be	AUX
aps-114	11	4	maps	map	NOUN
aps-114	11	5	where	where	SCONJ
aps-114	11	6	each	each	DET
aps-114	11	7	area	area	NOUN
aps-114	11	8	is	be	AUX
aps-114	11	9	represented	represent	VERB
aps-114	11	10	by	by	ADP
aps-114	11	11	a	a	DET
aps-114	11	12	simple	simple	ADJ
aps-114	11	13	shape	shape	NOUN
aps-114	11	14	(	(	PUNCT
aps-114	11	15	cano	cano	PROPN
aps-114	11	16	et	et	PROPN
aps-114	11	17	al	al	PROPN
aps-114	11	18	.	.	PROPN
aps-114	11	19	,	,	PUNCT
aps-114	11	20	2015	2015	NUM
aps-114	11	21	)	)	PUNCT
aps-114	11	22	.	.	PUNCT
aps-114	12	1	the	the	DET
aps-114	12	2	maps	map	NOUN
aps-114	12	3	presented	present	VERB
aps-114	12	4	here	here	ADV
aps-114	12	5	represent	represent	VERB
aps-114	12	6	each	each	DET
aps-114	12	7	sa3	sa3	PROPN
aps-114	12	8	area	area	NOUN
aps-114	12	9	as	as	ADP
aps-114	12	10	an	an	DET
aps-114	12	11	equally	equally	ADV
aps-114	12	12	sized	sized	ADJ
aps-114	12	13	element	element	NOUN
aps-114	12	14	,	,	PUNCT
aps-114	12	15	regardless	regardless	ADV
aps-114	12	16	of	of	ADP
aps-114	12	17	its	its	PRON
aps-114	12	18	physical	physical	ADJ
aps-114	12	19	size	size	NOUN
aps-114	12	20	or	or	CCONJ
aps-114	12	21	the	the	DET
aps-114	12	22	number	number	NOUN
aps-114	12	23	of	of	ADP
aps-114	12	24	persons	person	NOUN
aps-114	12	25	resident	resident	NOUN
aps-114	12	26	.	.	PUNCT
aps-114	13	1	the	the	DET
aps-114	13	2	mosaic	mosaic	ADJ
aps-114	13	3	cartograms	cartogram	NOUN
aps-114	13	4	are	be	AUX
aps-114	13	5	presented	present	VERB
aps-114	13	6	layered	layer	VERB
aps-114	13	7	on	on	ADP
aps-114	13	8	top	top	NOUN
aps-114	13	9	of	of	ADP
aps-114	13	10	a	a	DET
aps-114	13	11	standard	standard	ADJ
aps-114	13	12	map	map	NOUN
aps-114	13	13	of	of	ADP
aps-114	13	14	australian	australian	ADJ
aps-114	13	15	states	state	NOUN
aps-114	13	16	and	and	CCONJ
aps-114	13	17	territories	territory	NOUN
aps-114	13	18	;	;	PUNCT
aps-114	13	19	the	the	DET
aps-114	13	20	state	state	NOUN
aps-114	13	21	and	and	CCONJ
aps-114	13	22	territories	territory	NOUN
aps-114	13	23	–	–	PUNCT
aps-114	13	24	2021	2021	NUM
aps-114	13	25	gda94	gda94	PROPN
aps-114	13	26	asgs	asgs	PROPN
aps-114	13	27	edition	edition	PROPN
aps-114	13	28	3	3	NUM
aps-114	13	29	digital	digital	ADJ
aps-114	13	30	boundary	boundary	ADJ
aps-114	13	31	files	file	NOUN
aps-114	13	32	were	be	AUX
aps-114	13	33	used	use	VERB
aps-114	13	34	to	to	PART
aps-114	13	35	produce	produce	VERB
aps-114	13	36	this	this	DET
aps-114	13	37	map	map	NOUN
aps-114	13	38	(	(	PUNCT
aps-114	13	39	australian	australian	ADJ
aps-114	13	40	bureau	bureau	NOUN
aps-114	13	41	of	of	ADP
aps-114	13	42	statistics	statistic	NOUN
aps-114	13	43	,	,	PUNCT
aps-114	13	44	2021b	2021b	NUM
aps-114	13	45	)	)	PUNCT
aps-114	13	46	.	.	PUNCT
aps-114	14	1	d	d	X
aps-114	15	1	e	e	X
aps-114	15	2	m	m	NOUN
aps-114	15	3	o	o	NOUN
aps-114	15	4	g	g	NOUN
aps-114	15	5	ra	ra	PROPN
aps-114	15	6	p	p	NOUN
aps-114	15	7	h	h	NOUN
aps-114	15	8	ic	ic	PROPN
aps-114	15	9	http://www.australianpopulationstudies.org/	http://www.australianpopulationstudies.org/	NOUN
aps-114	16	1	mailto:irina.grossman@unimelb.edu.au	mailto:irina.grossman@unimelb.edu.au	PROPN
aps-114	16	2	australian	australian	ADJ
aps-114	16	3	population	population	NOUN
aps-114	16	4	studies	study	NOUN
aps-114	16	5	7	7	NUM
aps-114	16	6	(	(	PUNCT
aps-114	16	7	1	1	NUM
aps-114	16	8	)	)	PUNCT
aps-114	16	9	2023	2023	NUM
aps-114	16	10	grossman	grossman	NOUN
aps-114	16	11	31	31	NUM
aps-114	16	12	figure	figure	NOUN
aps-114	16	13	1	1	NUM
aps-114	16	14	:	:	PUNCT
aps-114	16	15	a	a	DET
aps-114	16	16	mosaic	mosaic	ADJ
aps-114	16	17	cartogram	cartogram	NOUN
aps-114	16	18	visualising	visualise	VERB
aps-114	16	19	the	the	DET
aps-114	16	20	impact	impact	NOUN
aps-114	16	21	of	of	ADP
aps-114	16	22	covid-19	covid-19	PROPN
aps-114	16	23	on	on	ADP
aps-114	16	24	2021	2021	NUM
aps-114	16	25	australian	australian	ADJ
aps-114	16	26	sa3	sa3	PROPN
aps-114	16	27	populations	population	NOUN
aps-114	16	28	source	source	NOUN
aps-114	16	29	:	:	PUNCT
aps-114	16	30	sa3	sa3	PROPN
aps-114	16	31	erps	erps	PROPN
aps-114	16	32	were	be	AUX
aps-114	16	33	sourced	source	VERB
aps-114	16	34	from	from	ADP
aps-114	16	35	abs	ab	NOUN
aps-114	16	36	(	(	PUNCT
aps-114	16	37	2021a	2021a	NUM
aps-114	16	38	)	)	PUNCT
aps-114	16	39	.	.	PUNCT
aps-114	17	1	digital	digital	ADJ
aps-114	17	2	boundaries	boundary	NOUN
aps-114	17	3	of	of	ADP
aps-114	17	4	sa3	sa3	PROPN
aps-114	17	5	areas	area	NOUN
aps-114	17	6	and	and	CCONJ
aps-114	17	7	of	of	ADP
aps-114	17	8	states	state	NOUN
aps-114	17	9	and	and	CCONJ
aps-114	17	10	territories	territory	NOUN
aps-114	17	11	were	be	AUX
aps-114	17	12	obtained	obtain	VERB
aps-114	17	13	from	from	ADP
aps-114	17	14	abs	ab	NOUN
aps-114	17	15	(	(	PUNCT
aps-114	17	16	2021b	2021b	NUM
aps-114	17	17	)	)	PUNCT
aps-114	17	18	.	.	PUNCT
aps-114	18	1	the	the	DET
aps-114	18	2	maps	map	NOUN
aps-114	18	3	were	be	AUX
aps-114	18	4	created	create	VERB
aps-114	18	5	using	use	VERB
aps-114	18	6	the	the	DET
aps-114	18	7	ons	ons	PROPN
aps-114	18	8	hexmap	hexmap	NOUN
aps-114	18	9	automation	automation	NOUN
aps-114	18	10	tool	tool	NOUN
aps-114	18	11	(	(	PUNCT
aps-114	18	12	mitchell	mitchell	PROPN
aps-114	18	13	&	&	CCONJ
aps-114	18	14	tzelepis	tzelepis	PROPN
aps-114	18	15	,	,	PUNCT
aps-114	18	16	2017	2017	NUM
aps-114	18	17	)	)	PUNCT
aps-114	18	18	.	.	PUNCT
aps-114	19	1	note	note	VERB
aps-114	19	2	:	:	PUNCT
aps-114	19	3	the	the	DET
aps-114	19	4	percentage	percentage	NOUN
aps-114	19	5	difference	difference	NOUN
aps-114	19	6	between	between	ADP
aps-114	19	7	the	the	DET
aps-114	19	8	2021	2021	NUM
aps-114	19	9	sa3	sa3	PROPN
aps-114	19	10	erps	erps	PROPN
aps-114	19	11	and	and	CCONJ
aps-114	19	12	the	the	DET
aps-114	19	13	populations	population	NOUN
aps-114	19	14	in	in	ADP
aps-114	19	15	the	the	DET
aps-114	19	16	no	no	DET
aps-114	19	17	-	-	PUNCT
aps-114	19	18	covid	covid	PROPN
aps-114	19	19	scenario	scenario	NOUN
aps-114	19	20	is	be	AUX
aps-114	19	21	presented	present	VERB
aps-114	19	22	in	in	ADP
aps-114	19	23	the	the	DET
aps-114	19	24	top	top	ADJ
aps-114	19	25	map	map	NOUN
aps-114	19	26	.	.	PUNCT
aps-114	20	1	for	for	ADP
aps-114	20	2	reference	reference	NOUN
aps-114	20	3	,	,	PUNCT
aps-114	20	4	the	the	DET
aps-114	20	5	state	state	NOUN
aps-114	20	6	or	or	CCONJ
aps-114	20	7	territory	territory	NOUN
aps-114	20	8	that	that	PRON
aps-114	20	9	each	each	DET
aps-114	20	10	element	element	NOUN
aps-114	20	11	belongs	belong	VERB
aps-114	20	12	to	to	PART
aps-114	20	13	is	be	AUX
aps-114	20	14	presented	present	VERB
aps-114	20	15	in	in	ADP
aps-114	20	16	the	the	DET
aps-114	20	17	bottom	bottom	ADJ
aps-114	20	18	map	map	NOUN
aps-114	20	19	and	and	CCONJ
aps-114	20	20	selected	select	VERB
aps-114	20	21	sa3	sa3	NOUN
aps-114	20	22	areas	area	NOUN
aps-114	20	23	in	in	ADP
aps-114	20	24	capital	capital	NOUN
aps-114	20	25	cities	city	NOUN
aps-114	20	26	are	be	AUX
aps-114	20	27	labelled	label	VERB
aps-114	20	28	.	.	PUNCT
aps-114	21	1	32	32	NUM
aps-114	21	2	grossman	grossman	PROPN
aps-114	21	3	australian	australian	ADJ
aps-114	21	4	population	population	NOUN
aps-114	21	5	studies	study	NOUN
aps-114	21	6	7	7	NUM
aps-114	21	7	(	(	PUNCT
aps-114	21	8	1	1	NUM
aps-114	21	9	)	)	PUNCT
aps-114	21	10	2023	2023	NUM
aps-114	21	11	to	to	PART
aps-114	21	12	create	create	VERB
aps-114	21	13	the	the	DET
aps-114	21	14	mosaic	mosaic	ADJ
aps-114	21	15	cartograms	cartogram	NOUN
aps-114	21	16	the	the	DET
aps-114	21	17	2021	2021	NUM
aps-114	21	18	sa3	sa3	NOUN
aps-114	21	19	gda94	gda94	PROPN
aps-114	21	20	asgs	asgs	PROPN
aps-114	21	21	edition	edition	PROPN
aps-114	21	22	3	3	NUM
aps-114	21	23	digital	digital	ADJ
aps-114	21	24	boundary	boundary	ADJ
aps-114	21	25	files	file	NOUN
aps-114	21	26	were	be	AUX
aps-114	21	27	downloaded	download	VERB
aps-114	21	28	(	(	PUNCT
aps-114	21	29	abs	ab	NOUN
aps-114	21	30	2021b	2021b	NUM
aps-114	21	31	)	)	PUNCT
aps-114	21	32	.	.	PUNCT
aps-114	22	1	the	the	DET
aps-114	22	2	boundary	boundary	ADJ
aps-114	22	3	files	file	NOUN
aps-114	22	4	were	be	AUX
aps-114	22	5	transformed	transform	VERB
aps-114	22	6	into	into	ADP
aps-114	22	7	a	a	DET
aps-114	22	8	mosaic	mosaic	ADJ
aps-114	22	9	cartogram	cartogram	NOUN
aps-114	22	10	shapefile	shapefile	NOUN
aps-114	22	11	using	use	VERB
aps-114	22	12	the	the	DET
aps-114	22	13	‘	'	PUNCT
aps-114	22	14	basic	basic	ADJ
aps-114	22	15	’	'	PUNCT
aps-114	22	16	variant	variant	NOUN
aps-114	22	17	of	of	ADP
aps-114	22	18	the	the	DET
aps-114	22	19	ons	ons	PROPN
aps-114	22	20	hexmap	hexmap	NOUN
aps-114	22	21	automation	automation	NOUN
aps-114	22	22	tool	tool	NOUN
aps-114	22	23	(	(	PUNCT
aps-114	22	24	mitchell	mitchell	PROPN
aps-114	22	25	&	&	CCONJ
aps-114	22	26	tzelepis	tzelepis	PROPN
aps-114	22	27	,	,	PUNCT
aps-114	22	28	2017	2017	NUM
aps-114	22	29	)	)	PUNCT
aps-114	22	30	.	.	PUNCT
aps-114	23	1	minor	minor	ADJ
aps-114	23	2	edits	edit	NOUN
aps-114	23	3	were	be	AUX
aps-114	23	4	made	make	VERB
aps-114	23	5	to	to	ADP
aps-114	23	6	the	the	DET
aps-114	23	7	shapefile	shapefile	NOUN
aps-114	23	8	such	such	ADJ
aps-114	23	9	that	that	SCONJ
aps-114	23	10	sa3	sa3	PROPN
aps-114	23	11	areas	area	NOUN
aps-114	23	12	from	from	ADP
aps-114	23	13	different	different	ADJ
aps-114	23	14	states	state	NOUN
aps-114	23	15	were	be	AUX
aps-114	23	16	clustered	cluster	VERB
aps-114	23	17	together	together	ADV
aps-114	23	18	.	.	PUNCT
aps-114	24	1	the	the	DET
aps-114	24	2	‘	'	PUNCT
aps-114	24	3	ggplot	ggplot	NOUN
aps-114	24	4	’	'	PUNCT
aps-114	24	5	(	(	PUNCT
aps-114	24	6	wickham	wickham	PROPN
aps-114	24	7	,	,	PUNCT
aps-114	24	8	2016	2016	NUM
aps-114	24	9	)	)	PUNCT
aps-114	24	10	and	and	CCONJ
aps-114	24	11	‘	'	PUNCT
aps-114	24	12	sf	sf	NOUN
aps-114	24	13	’	'	PUNCT
aps-114	24	14	(	(	PUNCT
aps-114	24	15	pebesma	pebesma	PROPN
aps-114	24	16	et	et	PROPN
aps-114	24	17	al	al	PROPN
aps-114	24	18	.	.	PROPN
aps-114	24	19	,	,	PUNCT
aps-114	24	20	2018	2018	NUM
aps-114	24	21	)	)	PUNCT
aps-114	24	22	r	r	NOUN
aps-114	24	23	packages	package	NOUN
aps-114	24	24	were	be	AUX
aps-114	24	25	used	use	VERB
aps-114	24	26	to	to	PART
aps-114	24	27	create	create	VERB
aps-114	24	28	two	two	NUM
aps-114	24	29	maps	map	NOUN
aps-114	24	30	.	.	PUNCT
aps-114	25	1	the	the	DET
aps-114	25	2	minor	minor	ADJ
aps-114	25	3	edits	edit	NOUN
aps-114	25	4	were	be	AUX
aps-114	25	5	completed	complete	VERB
aps-114	25	6	using	use	VERB
aps-114	25	7	adobe	adobe	PROPN
aps-114	25	8	illustrator	illustrator	NOUN
aps-114	25	9	2023	2023	NUM
aps-114	25	10	and	and	CCONJ
aps-114	25	11	adobe	adobe	PROPN
aps-114	25	12	photoshop	photoshop	PROPN
aps-114	25	13	2023	2023	NUM
aps-114	25	14	.	.	PUNCT
aps-114	26	1	the	the	DET
aps-114	26	2	first	first	ADJ
aps-114	26	3	map	map	NOUN
aps-114	26	4	(	(	PUNCT
aps-114	26	5	figure	figure	NOUN
aps-114	26	6	1	1	NUM
aps-114	26	7	,	,	PUNCT
aps-114	26	8	top	top	ADJ
aps-114	26	9	map	map	NOUN
aps-114	26	10	)	)	PUNCT
aps-114	26	11	visualises	visualise	VERB
aps-114	26	12	the	the	DET
aps-114	26	13	absolute	absolute	ADJ
aps-114	26	14	percentage	percentage	NOUN
aps-114	26	15	change	change	NOUN
aps-114	26	16	between	between	ADP
aps-114	26	17	the	the	DET
aps-114	26	18	projected	project	VERB
aps-114	26	19	and	and	CCONJ
aps-114	26	20	estimated	estimate	VERB
aps-114	26	21	2021	2021	NUM
aps-114	26	22	sa3	sa3	NOUN
aps-114	26	23	populations	population	NOUN
aps-114	26	24	on	on	ADP
aps-114	26	25	a	a	DET
aps-114	26	26	mosaic	mosaic	ADJ
aps-114	26	27	cartogram	cartogram	NOUN
aps-114	26	28	of	of	ADP
aps-114	26	29	australian	australian	PROPN
aps-114	26	30	sa3	sa3	PROPN
aps-114	26	31	areas	area	NOUN
aps-114	26	32	.	.	PUNCT
aps-114	27	1	the	the	DET
aps-114	27	2	second	second	ADJ
aps-114	27	3	map	map	NOUN
aps-114	27	4	(	(	PUNCT
aps-114	27	5	figure	figure	NOUN
aps-114	27	6	1	1	NUM
aps-114	27	7	,	,	PUNCT
aps-114	27	8	bottom	bottom	ADJ
aps-114	27	9	map	map	NOUN
aps-114	27	10	)	)	PUNCT
aps-114	27	11	visualises	visualise	VERB
aps-114	27	12	which	which	DET
aps-114	27	13	state	state	NOUN
aps-114	27	14	or	or	CCONJ
aps-114	27	15	territory	territory	NOUN
aps-114	27	16	each	each	DET
aps-114	27	17	element	element	NOUN
aps-114	27	18	of	of	ADP
aps-114	27	19	the	the	DET
aps-114	27	20	mosaic	mosaic	ADJ
aps-114	27	21	cartogram	cartogram	NOUN
aps-114	27	22	belongs	belong	VERB
aps-114	27	23	to	to	ADP
aps-114	27	24	,	,	PUNCT
aps-114	27	25	and	and	CCONJ
aps-114	27	26	selected	select	VERB
aps-114	27	27	sa3	sa3	NOUN
aps-114	27	28	areas	area	NOUN
aps-114	27	29	in	in	ADP
aps-114	27	30	capital	capital	NOUN
aps-114	27	31	cities	city	NOUN
aps-114	27	32	are	be	AUX
aps-114	27	33	labelled	label	VERB
aps-114	27	34	.	.	PUNCT
aps-114	28	1	key	key	PROPN
aps-114	28	2	features	feature	VERB
aps-114	28	3	the	the	DET
aps-114	28	4	top	top	ADJ
aps-114	28	5	map	map	NOUN
aps-114	28	6	in	in	ADP
aps-114	28	7	figure	figure	NOUN
aps-114	28	8	1	1	NUM
aps-114	28	9	visualises	visualise	VERB
aps-114	28	10	the	the	DET
aps-114	28	11	2021	2021	NUM
aps-114	28	12	changes	change	NOUN
aps-114	28	13	in	in	ADP
aps-114	28	14	sa3	sa3	NOUN
aps-114	28	15	populations	population	NOUN
aps-114	28	16	had	have	AUX
aps-114	28	17	covid-19	covid-19	PROPN
aps-114	28	18	not	not	PART
aps-114	28	19	occurred	occur	VERB
aps-114	28	20	and	and	CCONJ
aps-114	28	21	previous	previous	ADJ
aps-114	28	22	population	population	NOUN
aps-114	28	23	trends	trend	NOUN
aps-114	28	24	continued	continue	VERB
aps-114	28	25	.	.	PUNCT
aps-114	29	1	for	for	ADP
aps-114	29	2	reference	reference	NOUN
aps-114	29	3	,	,	PUNCT
aps-114	29	4	the	the	DET
aps-114	29	5	bottom	bottom	ADJ
aps-114	29	6	map	map	NOUN
aps-114	29	7	of	of	ADP
aps-114	29	8	figure	figure	NOUN
aps-114	29	9	1	1	NUM
aps-114	29	10	shows	show	NOUN
aps-114	29	11	which	which	PRON
aps-114	29	12	states	state	NOUN
aps-114	29	13	and	and	CCONJ
aps-114	29	14	territories	territory	NOUN
aps-114	29	15	each	each	PRON
aps-114	29	16	of	of	ADP
aps-114	29	17	the	the	DET
aps-114	29	18	elements	element	NOUN
aps-114	29	19	in	in	ADP
aps-114	29	20	the	the	DET
aps-114	29	21	mosaic	mosaic	ADJ
aps-114	29	22	cartogram	cartogram	NOUN
aps-114	29	23	belongs	belong	VERB
aps-114	29	24	to	to	ADP
aps-114	29	25	.	.	PUNCT
aps-114	30	1	the	the	DET
aps-114	30	2	top	top	ADJ
aps-114	30	3	map	map	NOUN
aps-114	30	4	reveals	reveal	VERB
aps-114	30	5	that	that	SCONJ
aps-114	30	6	covid-19	covid-19	PROPN
aps-114	30	7	may	may	AUX
aps-114	30	8	have	have	AUX
aps-114	30	9	resulted	result	VERB
aps-114	30	10	in	in	ADP
aps-114	30	11	decreased	decrease	VERB
aps-114	30	12	populations	population	NOUN
aps-114	30	13	in	in	ADP
aps-114	30	14	most	most	ADJ
aps-114	30	15	sa3	sa3	PROPN
aps-114	30	16	areas	area	NOUN
aps-114	30	17	.	.	PUNCT
aps-114	31	1	nationally	nationally	ADV
aps-114	31	2	there	there	PRON
aps-114	31	3	was	be	VERB
aps-114	31	4	a	a	DET
aps-114	31	5	1.9	1.9	NUM
aps-114	31	6	%	%	NOUN
aps-114	31	7	reduction	reduction	NOUN
aps-114	31	8	when	when	SCONJ
aps-114	31	9	compared	compare	VERB
aps-114	31	10	to	to	ADP
aps-114	31	11	2021	2021	NUM
aps-114	31	12	erps	erps	X
aps-114	31	13	and	and	CCONJ
aps-114	31	14	the	the	DET
aps-114	31	15	populations	population	NOUN
aps-114	31	16	in	in	ADP
aps-114	31	17	the	the	DET
aps-114	31	18	no	no	DET
aps-114	31	19	-	-	PUNCT
aps-114	31	20	covid	covid	NOUN
aps-114	31	21	scenario	scenario	NOUN
aps-114	31	22	;	;	PUNCT
aps-114	31	23	this	this	PRON
aps-114	31	24	corresponded	correspond	VERB
aps-114	31	25	to	to	ADP
aps-114	31	26	a	a	DET
aps-114	31	27	potential	potential	ADJ
aps-114	31	28	national	national	ADJ
aps-114	31	29	decrease	decrease	NOUN
aps-114	31	30	of	of	ADP
aps-114	31	31	478,314	478,314	NUM
aps-114	31	32	persons	person	NOUN
aps-114	31	33	.	.	PUNCT
aps-114	32	1	however	however	ADV
aps-114	32	2	,	,	PUNCT
aps-114	32	3	the	the	DET
aps-114	32	4	impact	impact	NOUN
aps-114	32	5	varied	varied	ADJ
aps-114	32	6	between	between	ADP
aps-114	32	7	states	state	NOUN
aps-114	32	8	and	and	CCONJ
aps-114	32	9	territories	territory	NOUN
aps-114	32	10	.	.	PUNCT
aps-114	33	1	according	accord	VERB
aps-114	33	2	to	to	ADP
aps-114	33	3	the	the	DET
aps-114	33	4	no	no	DET
aps-114	33	5	-	-	PUNCT
aps-114	33	6	covid	covid	PROPN
aps-114	33	7	scenario	scenario	PROPN
aps-114	33	8	,	,	PUNCT
aps-114	33	9	western	western	PROPN
aps-114	33	10	australia	australia	PROPN
aps-114	33	11	’s	’s	PART
aps-114	33	12	population	population	NOUN
aps-114	33	13	was	be	AUX
aps-114	33	14	10,074	10,074	NUM
aps-114	33	15	persons	person	NOUN
aps-114	33	16	,	,	PUNCT
aps-114	33	17	or	or	CCONJ
aps-114	33	18	0.4	0.4	NUM
aps-114	33	19	%	%	NOUN
aps-114	33	20	,	,	PUNCT
aps-114	33	21	greater	great	ADJ
aps-114	33	22	than	than	ADP
aps-114	33	23	what	what	PRON
aps-114	33	24	could	could	AUX
aps-114	33	25	have	have	AUX
aps-114	33	26	been	be	AUX
aps-114	33	27	expected	expect	VERB
aps-114	33	28	had	have	VERB
aps-114	33	29	pre	pre	ADJ
aps-114	33	30	-	-	ADJ
aps-114	33	31	covid-19	covid-19	ADJ
aps-114	33	32	population	population	NOUN
aps-114	33	33	trends	trend	NOUN
aps-114	33	34	continued	continue	VERB
aps-114	33	35	.	.	PUNCT
aps-114	34	1	this	this	PRON
aps-114	34	2	was	be	AUX
aps-114	34	3	the	the	DET
aps-114	34	4	only	only	ADJ
aps-114	34	5	state	state	NOUN
aps-114	34	6	or	or	CCONJ
aps-114	34	7	territory	territory	NOUN
aps-114	34	8	with	with	ADP
aps-114	34	9	an	an	DET
aps-114	34	10	increased	increase	VERB
aps-114	34	11	population	population	NOUN
aps-114	34	12	in	in	ADP
aps-114	34	13	the	the	DET
aps-114	34	14	no	no	DET
aps-114	34	15	-	-	PUNCT
aps-114	34	16	covid	covid	PROPN
aps-114	34	17	scenario	scenario	NOUN
aps-114	34	18	relative	relative	ADJ
aps-114	34	19	to	to	ADP
aps-114	34	20	the	the	DET
aps-114	34	21	2021	2021	NUM
aps-114	34	22	erps	erp	NOUN
aps-114	34	23	.	.	PUNCT
aps-114	35	1	all	all	DET
aps-114	35	2	other	other	ADJ
aps-114	35	3	states	state	NOUN
aps-114	35	4	saw	see	VERB
aps-114	35	5	reduced	reduced	ADJ
aps-114	35	6	populations	population	NOUN
aps-114	35	7	,	,	PUNCT
aps-114	35	8	particularly	particularly	ADV
aps-114	35	9	victoria	victoria	PROPN
aps-114	35	10	and	and	CCONJ
aps-114	35	11	the	the	DET
aps-114	35	12	australian	australian	ADJ
aps-114	35	13	capital	capital	NOUN
aps-114	35	14	territory	territory	NOUN
aps-114	35	15	which	which	PRON
aps-114	35	16	both	both	PRON
aps-114	35	17	had	have	VERB
aps-114	35	18	decreases	decrease	NOUN
aps-114	35	19	of	of	ADP
aps-114	35	20	3.7	3.7	NUM
aps-114	35	21	%	%	NOUN
aps-114	35	22	,	,	PUNCT
aps-114	35	23	corresponding	correspond	VERB
aps-114	35	24	to	to	ADP
aps-114	35	25	243,144	243,144	NUM
aps-114	35	26	and	and	CCONJ
aps-114	35	27	16,622	16,622	NUM
aps-114	35	28	persons	person	NOUN
aps-114	35	29	less	less	ADV
aps-114	35	30	,	,	PUNCT
aps-114	35	31	respectively	respectively	ADV
aps-114	35	32	.	.	PUNCT
aps-114	36	1	81.7	81.7	NUM
aps-114	36	2	%	%	NOUN
aps-114	36	3	of	of	ADP
aps-114	36	4	sa3s	sa3s	PROPN
aps-114	36	5	in	in	ADP
aps-114	36	6	greater	great	ADJ
aps-114	36	7	capital	capital	NOUN
aps-114	36	8	city	city	NOUN
aps-114	36	9	regions	region	NOUN
aps-114	36	10	had	have	AUX
aps-114	36	11	decreased	decrease	VERB
aps-114	36	12	populations	population	NOUN
aps-114	36	13	,	,	PUNCT
aps-114	36	14	amounting	amount	VERB
aps-114	36	15	to	to	ADP
aps-114	36	16	a	a	DET
aps-114	36	17	reduction	reduction	NOUN
aps-114	36	18	of	of	ADP
aps-114	36	19	453,904	453,904	NUM
aps-114	36	20	persons	person	NOUN
aps-114	36	21	in	in	ADP
aps-114	36	22	the	the	DET
aps-114	36	23	capital	capital	NOUN
aps-114	36	24	cities	city	NOUN
aps-114	36	25	of	of	ADP
aps-114	36	26	australia	australia	PROPN
aps-114	36	27	.	.	PUNCT
aps-114	37	1	whilst	whilst	SCONJ
aps-114	37	2	regional	regional	ADJ
aps-114	37	3	populations	population	NOUN
aps-114	37	4	were	be	AUX
aps-114	37	5	not	not	PART
aps-114	37	6	as	as	ADV
aps-114	37	7	affected	affect	VERB
aps-114	37	8	by	by	ADP
aps-114	37	9	covid-19	covid-19	PROPN
aps-114	37	10	,	,	PUNCT
aps-114	37	11	they	they	PRON
aps-114	37	12	generally	generally	ADV
aps-114	37	13	also	also	ADV
aps-114	37	14	saw	see	VERB
aps-114	37	15	population	population	NOUN
aps-114	37	16	declines	decline	VERB
aps-114	37	17	with	with	ADP
aps-114	37	18	60.4	60.4	NUM
aps-114	37	19	%	%	NOUN
aps-114	37	20	of	of	ADP
aps-114	37	21	sa3s	sa3s	PROPN
aps-114	37	22	outside	outside	ADP
aps-114	37	23	of	of	ADP
aps-114	37	24	the	the	DET
aps-114	37	25	capital	capital	NOUN
aps-114	37	26	city	city	NOUN
aps-114	37	27	regions	region	NOUN
aps-114	37	28	showing	show	VERB
aps-114	37	29	population	population	NOUN
aps-114	37	30	decreases	decrease	VERB
aps-114	37	31	,	,	PUNCT
aps-114	37	32	resulting	result	VERB
aps-114	37	33	in	in	ADP
aps-114	37	34	a	a	DET
aps-114	37	35	total	total	NOUN
aps-114	37	36	of	of	ADP
aps-114	37	37	24,410	24,410	NUM
aps-114	37	38	fewer	few	ADJ
aps-114	37	39	persons	person	NOUN
aps-114	37	40	than	than	ADP
aps-114	37	41	what	what	PRON
aps-114	37	42	may	may	AUX
aps-114	37	43	have	have	AUX
aps-114	37	44	been	be	AUX
aps-114	37	45	expected	expect	VERB
aps-114	37	46	in	in	ADP
aps-114	37	47	non	non	ADJ
aps-114	37	48	-	-	ADJ
aps-114	37	49	capital	capital	ADJ
aps-114	37	50	city	city	NOUN
aps-114	37	51	regions	region	NOUN
aps-114	37	52	in	in	ADP
aps-114	37	53	the	the	DET
aps-114	37	54	absence	absence	NOUN
aps-114	37	55	of	of	ADP
aps-114	37	56	covid-19	covid-19	PROPN
aps-114	37	57	.	.	PUNCT
aps-114	38	1	it	it	PRON
aps-114	38	2	is	be	AUX
aps-114	38	3	important	important	ADJ
aps-114	38	4	to	to	PART
aps-114	38	5	note	note	VERB
aps-114	38	6	that	that	SCONJ
aps-114	38	7	whilst	whilst	SCONJ
aps-114	38	8	short	short	ADJ
aps-114	38	9	term	term	NOUN
aps-114	38	10	projections	projection	NOUN
aps-114	38	11	,	,	PUNCT
aps-114	38	12	such	such	ADJ
aps-114	38	13	as	as	ADP
aps-114	38	14	the	the	DET
aps-114	38	15	one	one	NOUN
aps-114	38	16	used	use	VERB
aps-114	38	17	here	here	ADV
aps-114	38	18	to	to	PART
aps-114	38	19	create	create	VERB
aps-114	38	20	the	the	DET
aps-114	38	21	nocovid	nocovid	PROPN
aps-114	38	22	scenario	scenario	NOUN
aps-114	38	23	,	,	PUNCT
aps-114	38	24	tend	tend	VERB
aps-114	38	25	to	to	PART
aps-114	38	26	be	be	AUX
aps-114	38	27	reasonably	reasonably	ADV
aps-114	38	28	accurate	accurate	ADJ
aps-114	38	29	,	,	PUNCT
aps-114	38	30	there	there	PRON
aps-114	38	31	are	be	VERB
aps-114	38	32	many	many	ADJ
aps-114	38	33	factors	factor	NOUN
aps-114	38	34	that	that	PRON
aps-114	38	35	may	may	AUX
aps-114	38	36	impact	impact	VERB
aps-114	38	37	sa3	sa3	NOUN
aps-114	38	38	populations	population	NOUN
aps-114	38	39	other	other	ADJ
aps-114	38	40	than	than	ADP
aps-114	38	41	covid-19	covid-19	PROPN
aps-114	38	42	,	,	PUNCT
aps-114	38	43	such	such	ADJ
aps-114	38	44	as	as	ADP
aps-114	38	45	housing	housing	NOUN
aps-114	38	46	developments	development	NOUN
aps-114	38	47	and	and	CCONJ
aps-114	38	48	local	local	ADJ
aps-114	38	49	job	job	NOUN
aps-114	38	50	opportunities	opportunity	NOUN
aps-114	38	51	.	.	PUNCT
aps-114	39	1	it	it	PRON
aps-114	39	2	is	be	AUX
aps-114	39	3	important	important	ADJ
aps-114	39	4	to	to	PART
aps-114	39	5	emphasise	emphasise	VERB
aps-114	39	6	that	that	SCONJ
aps-114	39	7	the	the	DET
aps-114	39	8	no	no	DET
aps-114	39	9	-	-	PUNCT
aps-114	39	10	covid	covid	PROPN
aps-114	39	11	scenario	scenario	NOUN
aps-114	39	12	presented	present	VERB
aps-114	39	13	here	here	ADV
aps-114	39	14	is	be	AUX
aps-114	39	15	just	just	ADV
aps-114	39	16	one	one	NUM
aps-114	39	17	of	of	ADP
aps-114	39	18	many	many	ADJ
aps-114	39	19	potential	potential	ADJ
aps-114	39	20	scenarios	scenario	NOUN
aps-114	39	21	.	.	PUNCT
aps-114	40	1	furthermore	furthermore	ADV
aps-114	40	2	,	,	PUNCT
aps-114	40	3	it	it	PRON
aps-114	40	4	is	be	AUX
aps-114	40	5	important	important	ADJ
aps-114	40	6	to	to	PART
aps-114	40	7	consider	consider	VERB
aps-114	40	8	that	that	SCONJ
aps-114	40	9	the	the	DET
aps-114	40	10	process	process	NOUN
aps-114	40	11	of	of	ADP
aps-114	40	12	creating	create	VERB
aps-114	40	13	our	our	PRON
aps-114	40	14	mosaic	mosaic	ADJ
aps-114	40	15	cartograms	cartogram	NOUN
aps-114	40	16	moved	move	VERB
aps-114	40	17	the	the	DET
aps-114	40	18	relative	relative	ADJ
aps-114	40	19	positions	position	NOUN
aps-114	40	20	of	of	ADP
aps-114	40	21	the	the	DET
aps-114	40	22	sa3	sa3	PROPN
aps-114	40	23	areas	area	NOUN
aps-114	40	24	.	.	PUNCT
aps-114	41	1	therefore	therefore	ADV
aps-114	41	2	,	,	PUNCT
aps-114	41	3	the	the	DET
aps-114	41	4	sa3	sa3	PROPN
aps-114	41	5	areas	area	NOUN
aps-114	41	6	which	which	PRON
aps-114	41	7	are	be	AUX
aps-114	41	8	in	in	ADP
aps-114	41	9	the	the	DET
aps-114	41	10	same	same	ADJ
aps-114	41	11	sa4	sa4	NOUN
aps-114	41	12	,	,	PUNCT
aps-114	41	13	or	or	CCONJ
aps-114	41	14	the	the	DET
aps-114	41	15	same	same	ADJ
aps-114	41	16	greater	great	ADJ
aps-114	41	17	capital	capital	NOUN
aps-114	41	18	city	city	NOUN
aps-114	41	19	statistical	statistical	ADJ
aps-114	41	20	area	area	NOUN
aps-114	41	21	,	,	PUNCT
aps-114	41	22	did	do	AUX
aps-114	41	23	not	not	PART
aps-114	41	24	always	always	ADV
aps-114	41	25	cluster	cluster	VERB
aps-114	41	26	together	together	ADV
aps-114	41	27	.	.	PUNCT
aps-114	42	1	this	this	PRON
aps-114	42	2	should	should	AUX
aps-114	42	3	be	be	AUX
aps-114	42	4	considered	consider	VERB
aps-114	42	5	when	when	SCONJ
aps-114	42	6	interpreting	interpret	VERB
aps-114	42	7	the	the	DET
aps-114	42	8	maps	map	NOUN
aps-114	42	9	.	.	PUNCT
aps-114	43	1	acknowledgements	acknowledgement	NOUN
aps-114	43	2	i	i	PRON
aps-114	43	3	am	be	AUX
aps-114	43	4	grateful	grateful	ADJ
aps-114	43	5	to	to	ADP
aps-114	43	6	tom	tom	PROPN
aps-114	43	7	wilson	wilson	PROPN
aps-114	43	8	who	who	PRON
aps-114	43	9	kindly	kindly	ADV
aps-114	43	10	provided	provide	VERB
aps-114	43	11	helpful	helpful	ADJ
aps-114	43	12	comments	comment	NOUN
aps-114	43	13	on	on	ADP
aps-114	43	14	earlier	early	ADJ
aps-114	43	15	versions	version	NOUN
aps-114	43	16	of	of	ADP
aps-114	43	17	this	this	DET
aps-114	43	18	demographic	demographic	NOUN
aps-114	43	19	.	.	PUNCT
aps-114	44	1	however	however	ADV
aps-114	44	2	,	,	PUNCT
aps-114	44	3	all	all	DET
aps-114	44	4	errors	error	NOUN
aps-114	44	5	and	and	CCONJ
aps-114	44	6	omissions	omission	NOUN
aps-114	44	7	are	be	AUX
aps-114	44	8	the	the	DET
aps-114	44	9	responsibility	responsibility	NOUN
aps-114	44	10	of	of	ADP
aps-114	44	11	the	the	DET
aps-114	44	12	author	author	NOUN
aps-114	44	13	.	.	PUNCT
aps-114	45	1	australian	australian	ADJ
aps-114	45	2	population	population	NOUN
aps-114	45	3	studies	study	NOUN
aps-114	45	4	7	7	NUM
aps-114	45	5	(	(	PUNCT
aps-114	45	6	1	1	NUM
aps-114	45	7	)	)	PUNCT
aps-114	45	8	2023	2023	NUM
aps-114	45	9	grossman	grossman	NOUN
aps-114	45	10	33	33	NUM
aps-114	45	11	references	reference	NOUN
aps-114	45	12	abs	ab	NOUN
aps-114	45	13	(	(	PUNCT
aps-114	45	14	2021a	2021a	NUM
aps-114	45	15	)	)	PUNCT
aps-114	45	16	.	.	PUNCT
aps-114	46	1	regional	regional	ADJ
aps-114	46	2	population	population	NOUN
aps-114	46	3	.	.	PUNCT
aps-114	47	1	https://www.abs.gov.au/statistics/people/population/regionalpopulation/latest-release	https://www.abs.gov.au/statistics/people/population/regionalpopulation/latest-release	VERB
aps-114	47	2	abs	ab	NOUN
aps-114	47	3	(	(	PUNCT
aps-114	47	4	2021b	2021b	NUM
aps-114	47	5	)	)	PUNCT
aps-114	47	6	.	.	PUNCT
aps-114	48	1	digital	digital	ADJ
aps-114	48	2	boundary	boundary	ADJ
aps-114	48	3	files	file	NOUN
aps-114	48	4	australian	australian	ADJ
aps-114	48	5	statistical	statistical	ADJ
aps-114	48	6	geography	geography	NOUN
aps-114	48	7	standard	standard	NOUN
aps-114	48	8	(	(	PUNCT
aps-114	48	9	asgs	asgs	PROPN
aps-114	48	10	)	)	PUNCT
aps-114	48	11	edition	edition	NOUN
aps-114	48	12	3	3	NUM
aps-114	48	13	.	.	PUNCT
aps-114	49	1	https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgsedition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files	https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgsedition-3/jul2021-jun2026/access-and-downloads/digital-boundary-file	NOUN
aps-114	49	2	abs	ab	NOUN
aps-114	49	3	(	(	PUNCT
aps-114	49	4	2022	2022	NUM
aps-114	49	5	)	)	PUNCT
aps-114	49	6	.	.	PUNCT
aps-114	50	1	overseas	overseas	ADJ
aps-114	50	2	migration	migration	NOUN
aps-114	50	3	,	,	PUNCT
aps-114	50	4	2021	2021	NUM
aps-114	50	5	-	-	SYM
aps-114	50	6	22	22	NUM
aps-114	50	7	.	.	PUNCT
aps-114	51	1	https://www.abs.gov.au/statistics/people/population/overseas-migration/2021-22-financialyear	https://www.abs.gov.au/statistics/people/population/overseas-migration/2021-22-financialyear	PROPN
aps-114	51	2	cano	cano	PROPN
aps-114	51	3	,	,	PUNCT
aps-114	51	4	r.	r.	PROPN
aps-114	51	5	g.	g.	PROPN
aps-114	51	6	,	,	PUNCT
aps-114	51	7	buchin	buchin	PROPN
aps-114	51	8	,	,	PUNCT
aps-114	51	9	k.	k.	PROPN
aps-114	51	10	,	,	PUNCT
aps-114	51	11	castermans	casterman	NOUN
aps-114	51	12	,	,	PUNCT
aps-114	51	13	t.	t.	PROPN
aps-114	51	14	,	,	PUNCT
aps-114	51	15	pieterse	pieterse	NOUN
aps-114	51	16	,	,	PUNCT
aps-114	51	17	a.	a.	NOUN
aps-114	51	18	,	,	PUNCT
aps-114	51	19	sonke	sonke	NOUN
aps-114	51	20	,	,	PUNCT
aps-114	51	21	w.	w.	PROPN
aps-114	51	22	,	,	PUNCT
aps-114	51	23	&	&	CCONJ
aps-114	51	24	speckmann	speckmann	PROPN
aps-114	51	25	,	,	PUNCT
aps-114	51	26	b.	b.	PROPN
aps-114	51	27	(	(	PUNCT
aps-114	51	28	2015	2015	NUM
aps-114	51	29	)	)	PUNCT
aps-114	51	30	.	.	PUNCT
aps-114	52	1	mosaic	mosaic	ADJ
aps-114	52	2	drawings	drawing	NOUN
aps-114	52	3	and	and	CCONJ
aps-114	52	4	cartograms	cartogram	NOUN
aps-114	52	5	.	.	PUNCT
aps-114	53	1	computer	computer	NOUN
aps-114	53	2	graphics	graphics	PROPN
aps-114	53	3	forum	forum	PROPN
aps-114	53	4	,	,	PUNCT
aps-114	53	5	34(3	34(3	NUM
aps-114	53	6	)	)	PUNCT
aps-114	53	7	,	,	PUNCT
aps-114	53	8	361	361	NUM
aps-114	53	9	-	-	SYM
aps-114	53	10	370	370	NUM
aps-114	53	11	.	.	PUNCT
aps-114	54	1	https://doi.org/10.1111/cgf.12648	https://doi.org/10.1111/cgf.12648	PROPN
aps-114	54	2	mitchell	mitchell	PROPN
aps-114	54	3	,	,	PUNCT
aps-114	54	4	b.	b.	PROPN
aps-114	54	5	,	,	PUNCT
aps-114	54	6	&	&	CCONJ
aps-114	54	7	tzelepis	tzelepis	PROPN
aps-114	54	8	,	,	PUNCT
aps-114	54	9	g.	g.	PROPN
aps-114	54	10	(	(	PUNCT
aps-114	54	11	2017	2017	NUM
aps-114	54	12	)	)	PUNCT
aps-114	54	13	.	.	PUNCT
aps-114	55	1	automated	automate	VERB
aps-114	55	2	generation	generation	NOUN
aps-114	55	3	of	of	ADP
aps-114	55	4	equal	equal	ADJ
aps-114	55	5	area	area	NOUN
aps-114	55	6	cartograms	cartogram	NOUN
aps-114	55	7	(	(	PUNCT
aps-114	55	8	‘	'	PUNCT
aps-114	55	9	hexmaps	hexmap	NOUN
aps-114	55	10	’	'	PUNCT
aps-114	55	11	)	)	PUNCT
aps-114	55	12	at	at	ADP
aps-114	55	13	any	any	DET
aps-114	55	14	scale	scale	NOUN
aps-114	55	15	.	.	PUNCT
aps-114	56	1	https://github.com/onsgeo/hexmapping	https://github.com/onsgeo/hexmapping	PROPN
aps-114	56	2	pebesma	pebesma	PROPN
aps-114	56	3	,	,	PUNCT
aps-114	56	4	e.	e.	PROPN
aps-114	56	5	j.	j.	PROPN
aps-114	56	6	(	(	PUNCT
aps-114	56	7	2018	2018	NUM
aps-114	56	8	)	)	PUNCT
aps-114	56	9	.	.	PUNCT
aps-114	57	1	simple	simple	ADJ
aps-114	57	2	features	feature	NOUN
aps-114	57	3	for	for	ADP
aps-114	57	4	r	r	NOUN
aps-114	57	5	:	:	PUNCT
aps-114	57	6	standardized	standardized	ADJ
aps-114	57	7	support	support	NOUN
aps-114	57	8	for	for	ADP
aps-114	57	9	spatial	spatial	ADJ
aps-114	57	10	vector	vector	NOUN
aps-114	57	11	data	datum	NOUN
aps-114	57	12	.	.	PUNCT
aps-114	58	1	the	the	DET
aps-114	58	2	r	r	NOUN
aps-114	58	3	journal	journal	NOUN
aps-114	58	4	,	,	PUNCT
aps-114	58	5	10(1	10(1	NUM
aps-114	58	6	)	)	PUNCT
aps-114	58	7	,	,	PUNCT
aps-114	58	8	439	439	NUM
aps-114	58	9	-	-	SYM
aps-114	58	10	446	446	NUM
aps-114	58	11	.	.	PUNCT
aps-114	58	12	https://doi.org/10.32614/rj-2018-009	https://doi.org/10.32614/rj-2018-009	PROPN
aps-114	58	13	stephens	stephens	PROPN
aps-114	58	14	,	,	PUNCT
aps-114	58	15	r.	r.	PROPN
aps-114	58	16	,	,	PUNCT
aps-114	58	17	cansdale	cansdale	PROPN
aps-114	58	18	,	,	PUNCT
aps-114	58	19	d.	d.	PROPN
aps-114	58	20	,	,	PUNCT
aps-114	58	21	and	and	CCONJ
aps-114	58	22	forbes	forbes	ADP
aps-114	58	23	l	l	PROPN
aps-114	58	24	(	(	PUNCT
aps-114	58	25	2022	2022	NUM
aps-114	58	26	)	)	PUNCT
aps-114	58	27	.	.	PUNCT
aps-114	59	1	increase	increase	VERB
aps-114	59	2	in	in	ADP
aps-114	59	3	internal	internal	ADJ
aps-114	59	4	migration	migration	NOUN
aps-114	59	5	from	from	ADP
aps-114	59	6	capital	capital	NOUN
aps-114	59	7	cities	city	NOUN
aps-114	59	8	to	to	ADP
aps-114	59	9	regional	regional	ADJ
aps-114	59	10	areas	area	NOUN
aps-114	59	11	.	.	PUNCT
aps-114	60	1	https://www.abc.net.au/news/2022-02-18/migration-from-cities-to-regionalareas-doubles-during-covid/100839386	https://www.abc.net.au/news/2022-02-18/migration-from-cities-to-regionalareas-doubles-during-covid/100839386	PROPN
aps-114	60	2	wickham	wickham	PROPN
aps-114	60	3	h	h	PROPN
aps-114	60	4	(	(	PUNCT
aps-114	60	5	2016	2016	NUM
aps-114	60	6	)	)	PUNCT
aps-114	60	7	.	.	PUNCT
aps-114	61	1	ggplot2	ggplot2	PROPN
aps-114	61	2	:	:	PUNCT
aps-114	61	3	elegant	elegant	ADJ
aps-114	61	4	graphics	graphic	NOUN
aps-114	61	5	for	for	ADP
aps-114	61	6	data	datum	NOUN
aps-114	61	7	analysis	analysis	NOUN
aps-114	61	8	.	.	PUNCT
aps-114	62	1	springer	springer	NOUN
aps-114	62	2	-	-	PUNCT
aps-114	62	3	verlag	verlag	PROPN
aps-114	62	4	new	new	PROPN
aps-114	62	5	york	york	PROPN
aps-114	62	6	.	.	PUNCT
aps-114	63	1	https://ggplot2.tidyverse.org	https://ggplot2.tidyverse.org	NOUN
aps-114	63	2	https://www.abs.gov.au/statistics/people/population/regional-population/latest-release	https://www.abs.gov.au/statistics/people/population/regional-population/latest-release	PROPN
aps-114	63	3	https://www.abs.gov.au/statistics/people/population/regional-population/latest-release	https://www.abs.gov.au/statistics/people/population/regional-population/latest-release	PROPN
aps-114	63	4	https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files	https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-file	NOUN
aps-114	63	5	https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files	https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-file	NOUN
aps-114	63	6	https://www.abs.gov.au/statistics/people/population/overseas-migration/2021-22-financial-year	https://www.abs.gov.au/statistics/people/population/overseas-migration/2021-22-financial-year	NOUN
aps-114	63	7	https://www.abs.gov.au/statistics/people/population/overseas-migration/2021-22-financial-year	https://www.abs.gov.au/statistics/people/population/overseas-migration/2021-22-financial-year	INTJ
aps-114	63	8	https://doi.org/10.1111/cgf.12648	https://doi.org/10.1111/cgf.12648	PROPN
aps-114	63	9	https://github.com/onsgeo/hexmapping	https://github.com/onsgeo/hexmappe	VERB
aps-114	63	10	https://doi.org/10.32614/rj-2018-009	https://doi.org/10.32614/rj-2018-009	PROPN
aps-114	63	11	https://www.abc.net.au/news/2022-02-18/migration-from-cities-to-regional-areas-doubles-during-covid/100839386	https://www.abc.net.au/news/2022-02-18/migration-from-cities-to-regional-areas-doubles-during-covid/100839386	VERB
aps-114	63	12	https://www.abc.net.au/news/2022-02-18/migration-from-cities-to-regional-areas-doubles-during-covid/100839386	https://www.abc.net.au/news/2022-02-18/migration-from-cities-to-regional-areas-doubles-during-covid/100839386	VERB
aps-114	63	13	https://ggplot2.tidyverse.org/	https://ggplot2.tidyverse.org/	NOUN