id	sid	tid	token	lemma	pos
ajst-12276	1	1	academic	academic	ADJ
ajst-12276	1	2	journal	journal	NOUN
ajst-12276	1	3	of	of	ADP
ajst-12276	1	4	science	science	NOUN
ajst-12276	1	5	and	and	CCONJ
ajst-12276	1	6	technology	technology	NOUN
ajst-12276	1	7	issn	issn	NOUN
ajst-12276	1	8	:	:	PUNCT
ajst-12276	1	9	2771	2771	NUM
ajst-12276	1	10	-	-	SYM
ajst-12276	1	11	3032	3032	NUM
ajst-12276	1	12	|	|	NOUN
ajst-12276	1	13	vol	vol	NOUN
ajst-12276	1	14	.	.	PROPN
ajst-12276	2	1	7	7	NUM
ajst-12276	2	2	,	,	PUNCT
ajst-12276	2	3	no	no	INTJ
ajst-12276	2	4	.	.	NOUN
ajst-12276	2	5	2	2	NUM
ajst-12276	2	6	,	,	PUNCT
ajst-12276	2	7	2023	2023	NUM
ajst-12276	2	8	213	213	NUM
ajst-12276	2	9	population	population	NOUN
ajst-12276	2	10	spatialization	spatialization	NOUN
ajst-12276	2	11	based	base	VERB
ajst-12276	2	12	on	on	ADP
ajst-12276	2	13	convolutional	convolutional	ADJ
ajst-12276	2	14	neural	neural	ADJ
ajst-12276	2	15	network	network	NOUN
ajst-12276	2	16	and	and	CCONJ
ajst-12276	2	17	multi‐source	multi‐source	NOUN
ajst-12276	2	18	geospatial	geospatial	ADJ
ajst-12276	2	19	big	big	ADJ
ajst-12276	2	20	data	data	PROPN
ajst-12276	2	21	xusong	xusong	PROPN
ajst-12276	2	22	zhang1	zhang1	PROPN
ajst-12276	2	23	,	,	PUNCT
ajst-12276	2	24	*	*	PUNCT
ajst-12276	2	25	,	,	PUNCT
ajst-12276	2	26	maria	maria	PROPN
ajst-12276	2	27	rosario	rosario	PROPN
ajst-12276	2	28	rodavia2	rodavia2	PROPN
ajst-12276	2	29	1	1	NUM
ajst-12276	2	30	graduate	graduate	NOUN
ajst-12276	2	31	school	school	NOUN
ajst-12276	2	32	,	,	PUNCT
ajst-12276	2	33	angeles	angeles	PROPN
ajst-12276	2	34	university	university	PROPN
ajst-12276	2	35	foundation	foundation	PROPN
ajst-12276	2	36	,	,	PUNCT
ajst-12276	2	37	angeles	angeles	PROPN
ajst-12276	2	38	2009	2009	NUM
ajst-12276	2	39	,	,	PUNCT
ajst-12276	2	40	philippines	philippine	NOUN
ajst-12276	2	41	2	2	NUM
ajst-12276	2	42	graduate	graduate	NOUN
ajst-12276	2	43	school	school	NOUN
ajst-12276	2	44	,	,	PUNCT
ajst-12276	2	45	angeles	angeles	PROPN
ajst-12276	2	46	university	university	PROPN
ajst-12276	2	47	foundation	foundation	PROPN
ajst-12276	2	48	,	,	PUNCT
ajst-12276	2	49	angeles	angeles	PROPN
ajst-12276	2	50	2009	2009	NUM
ajst-12276	2	51	,	,	PUNCT
ajst-12276	2	52	philippines	philippine	NOUN
ajst-12276	2	53	*	*	PUNCT
ajst-12276	2	54	corresponding	correspond	VERB
ajst-12276	2	55	author	author	NOUN
ajst-12276	2	56	:	:	PUNCT
ajst-12276	3	1	xusong	xusong	PROPN
ajst-12276	3	2	zhang	zhang	PROPN
ajst-12276	3	3	(	(	PUNCT
ajst-12276	3	4	email	email	NOUN
ajst-12276	3	5	:	:	PUNCT
ajst-12276	3	6	zhang.xusong@auf.edu.ph	zhang.xusong@auf.edu.ph	NUM
ajst-12276	3	7	)	)	PUNCT
ajst-12276	3	8	abstract	abstract	NOUN
ajst-12276	3	9	:	:	PUNCT
ajst-12276	3	10	this	this	DET
ajst-12276	3	11	article	article	NOUN
ajst-12276	3	12	adopts	adopt	VERB
ajst-12276	3	13	a	a	DET
ajst-12276	3	14	more	more	ADV
ajst-12276	3	15	refined	refined	ADJ
ajst-12276	3	16	method	method	NOUN
ajst-12276	3	17	to	to	PART
ajst-12276	3	18	create	create	VERB
ajst-12276	3	19	a	a	DET
ajst-12276	3	20	population	population	NOUN
ajst-12276	3	21	spatial	spatial	ADJ
ajst-12276	3	22	distribution	distribution	NOUN
ajst-12276	3	23	model	model	NOUN
ajst-12276	3	24	for	for	ADP
ajst-12276	3	25	guizhou	guizhou	NOUN
ajst-12276	3	26	province	province	NOUN
ajst-12276	3	27	in	in	ADP
ajst-12276	3	28	2021	2021	NUM
ajst-12276	3	29	.	.	PUNCT
ajst-12276	4	1	firstly	firstly	ADV
ajst-12276	4	2	,	,	PUNCT
ajst-12276	4	3	we	we	PRON
ajst-12276	4	4	divide	divide	VERB
ajst-12276	4	5	the	the	DET
ajst-12276	4	6	population	population	NOUN
ajst-12276	4	7	data	datum	NOUN
ajst-12276	4	8	of	of	ADP
ajst-12276	4	9	guizhou	guizhou	PROPN
ajst-12276	4	10	province	province	NOUN
ajst-12276	4	11	into	into	ADP
ajst-12276	4	12	different	different	ADJ
ajst-12276	4	13	characteristic	characteristic	ADJ
ajst-12276	4	14	regions	region	NOUN
ajst-12276	4	15	.	.	PUNCT
ajst-12276	5	1	then	then	ADV
ajst-12276	5	2	,	,	PUNCT
ajst-12276	5	3	we	we	PRON
ajst-12276	5	4	use	use	VERB
ajst-12276	5	5	these	these	DET
ajst-12276	5	6	regions	region	NOUN
ajst-12276	5	7	as	as	ADP
ajst-12276	5	8	independent	independent	ADJ
ajst-12276	5	9	variables	variable	NOUN
ajst-12276	5	10	and	and	CCONJ
ajst-12276	5	11	population	population	NOUN
ajst-12276	5	12	as	as	ADP
ajst-12276	5	13	dependent	dependent	ADJ
ajst-12276	5	14	variables	variable	NOUN
ajst-12276	5	15	for	for	ADP
ajst-12276	5	16	analysis	analysis	NOUN
ajst-12276	5	17	using	use	VERB
ajst-12276	5	18	convolutional	convolutional	ADJ
ajst-12276	5	19	neural	neural	ADJ
ajst-12276	5	20	network	network	NOUN
ajst-12276	5	21	(	(	PUNCT
ajst-12276	5	22	cnn	cnn	PROPN
ajst-12276	5	23	)	)	PUNCT
ajst-12276	5	24	.	.	PUNCT
ajst-12276	6	1	in	in	ADP
ajst-12276	6	2	addition	addition	NOUN
ajst-12276	6	3	,	,	PUNCT
ajst-12276	6	4	we	we	PRON
ajst-12276	6	5	also	also	ADV
ajst-12276	6	6	introduced	introduce	VERB
ajst-12276	6	7	multi	multi	ADJ
ajst-12276	6	8	-	-	ADJ
ajst-12276	6	9	source	source	ADJ
ajst-12276	6	10	spatiotemporal	spatiotemporal	ADJ
ajst-12276	6	11	data	datum	NOUN
ajst-12276	6	12	such	such	ADJ
ajst-12276	6	13	as	as	ADP
ajst-12276	6	14	points	point	NOUN
ajst-12276	6	15	of	of	ADP
ajst-12276	6	16	interest	interest	NOUN
ajst-12276	6	17	(	(	PUNCT
ajst-12276	6	18	poi	poi	PROPN
ajst-12276	6	19	)	)	PUNCT
ajst-12276	6	20	,	,	PUNCT
ajst-12276	6	21	nighttime	nighttime	ADJ
ajst-12276	6	22	lighting	lighting	NOUN
ajst-12276	6	23	,	,	PUNCT
ajst-12276	6	24	and	and	CCONJ
ajst-12276	6	25	digital	digital	ADJ
ajst-12276	6	26	elevation	elevation	NOUN
ajst-12276	6	27	model	model	NOUN
ajst-12276	6	28	(	(	PUNCT
ajst-12276	6	29	dem	dem	NOUN
ajst-12276	6	30	)	)	PUNCT
ajst-12276	6	31	for	for	ADP
ajst-12276	6	32	modeling	modeling	NOUN
ajst-12276	6	33	to	to	PART
ajst-12276	6	34	further	far	ADV
ajst-12276	6	35	enhance	enhance	VERB
ajst-12276	6	36	the	the	DET
ajst-12276	6	37	accuracy	accuracy	NOUN
ajst-12276	6	38	and	and	CCONJ
ajst-12276	6	39	accuracy	accuracy	NOUN
ajst-12276	6	40	of	of	ADP
ajst-12276	6	41	the	the	DET
ajst-12276	6	42	model	model	NOUN
ajst-12276	6	43	.	.	PUNCT
ajst-12276	7	1	through	through	ADP
ajst-12276	7	2	this	this	DET
ajst-12276	7	3	method	method	NOUN
ajst-12276	7	4	,	,	PUNCT
ajst-12276	7	5	we	we	PRON
ajst-12276	7	6	successfully	successfully	ADV
ajst-12276	7	7	generated	generate	VERB
ajst-12276	7	8	the	the	DET
ajst-12276	7	9	population	population	NOUN
ajst-12276	7	10	spatial	spatial	ADJ
ajst-12276	7	11	data	datum	NOUN
ajst-12276	7	12	of	of	ADP
ajst-12276	7	13	guizhou	guizhou	PROPN
ajst-12276	7	14	province	province	NOUN
ajst-12276	7	15	in	in	ADP
ajst-12276	7	16	2021	2021	NUM
ajst-12276	7	17	with	with	ADP
ajst-12276	7	18	a	a	DET
ajst-12276	7	19	resolution	resolution	NOUN
ajst-12276	7	20	of	of	ADP
ajst-12276	7	21	1	1	NUM
ajst-12276	7	22	km	km	NOUN
ajst-12276	7	23	.	.	PUNCT
ajst-12276	8	1	these	these	DET
ajst-12276	8	2	data	datum	NOUN
ajst-12276	8	3	intuitively	intuitively	ADV
ajst-12276	8	4	display	display	VERB
ajst-12276	8	5	the	the	DET
ajst-12276	8	6	spatial	spatial	ADJ
ajst-12276	8	7	distribution	distribution	NOUN
ajst-12276	8	8	of	of	ADP
ajst-12276	8	9	the	the	DET
ajst-12276	8	10	population	population	NOUN
ajst-12276	8	11	in	in	ADP
ajst-12276	8	12	guizhou	guizhou	PROPN
ajst-12276	8	13	province	province	NOUN
ajst-12276	8	14	,	,	PUNCT
ajst-12276	8	15	and	and	CCONJ
ajst-12276	8	16	have	have	VERB
ajst-12276	8	17	important	important	ADJ
ajst-12276	8	18	reference	reference	NOUN
ajst-12276	8	19	value	value	NOUN
ajst-12276	8	20	for	for	ADP
ajst-12276	8	21	policy	policy	NOUN
ajst-12276	8	22	makers	maker	NOUN
ajst-12276	8	23	,	,	PUNCT
ajst-12276	8	24	researchers	researcher	NOUN
ajst-12276	8	25	,	,	PUNCT
ajst-12276	8	26	and	and	CCONJ
ajst-12276	8	27	planners.in	planners.in	PROPN
ajst-12276	8	28	addition	addition	NOUN
ajst-12276	8	29	,	,	PUNCT
ajst-12276	8	30	in	in	ADP
ajst-12276	8	31	order	order	NOUN
ajst-12276	8	32	to	to	PART
ajst-12276	8	33	verify	verify	VERB
ajst-12276	8	34	the	the	DET
ajst-12276	8	35	accuracy	accuracy	NOUN
ajst-12276	8	36	of	of	ADP
ajst-12276	8	37	our	our	PRON
ajst-12276	8	38	model	model	NOUN
ajst-12276	8	39	,	,	PUNCT
ajst-12276	8	40	we	we	PRON
ajst-12276	8	41	evaluated	evaluate	VERB
ajst-12276	8	42	and	and	CCONJ
ajst-12276	8	43	compared	compare	VERB
ajst-12276	8	44	the	the	DET
ajst-12276	8	45	accuracy	accuracy	NOUN
ajst-12276	8	46	of	of	ADP
ajst-12276	8	47	the	the	DET
ajst-12276	8	48	model	model	NOUN
ajst-12276	8	49	results	result	NOUN
ajst-12276	8	50	.	.	PUNCT
ajst-12276	9	1	the	the	DET
ajst-12276	9	2	results	result	NOUN
ajst-12276	9	3	show	show	VERB
ajst-12276	9	4	that	that	SCONJ
ajst-12276	9	5	our	our	PRON
ajst-12276	9	6	model	model	NOUN
ajst-12276	9	7	has	have	VERB
ajst-12276	9	8	high	high	ADJ
ajst-12276	9	9	accuracy	accuracy	NOUN
ajst-12276	9	10	in	in	ADP
ajst-12276	9	11	expressing	express	VERB
ajst-12276	9	12	the	the	DET
ajst-12276	9	13	spatial	spatial	ADJ
ajst-12276	9	14	distribution	distribution	NOUN
ajst-12276	9	15	of	of	ADP
ajst-12276	9	16	population	population	NOUN
ajst-12276	9	17	,	,	PUNCT
ajst-12276	9	18	andcan	andcan	NOUN
ajst-12276	9	19	accurately	accurately	ADV
ajst-12276	9	20	reflect	reflect	VERB
ajst-12276	9	21	the	the	DET
ajst-12276	9	22	spatial	spatial	ADJ
ajst-12276	9	23	distribution	distribution	NOUN
ajst-12276	9	24	of	of	ADP
ajst-12276	9	25	population	population	NOUN
ajst-12276	9	26	at	at	ADP
ajst-12276	9	27	different	different	ADJ
ajst-12276	9	28	scales.in	scales.in	NUM
ajst-12276	9	29	summary	summary	NOUN
ajst-12276	9	30	,	,	PUNCT
ajst-12276	9	31	this	this	DET
ajst-12276	9	32	article	article	NOUN
ajst-12276	9	33	successfully	successfully	ADV
ajst-12276	9	34	created	create	VERB
ajst-12276	9	35	a	a	DET
ajst-12276	9	36	population	population	NOUN
ajst-12276	9	37	spatial	spatial	ADJ
ajst-12276	9	38	distribution	distribution	NOUN
ajst-12276	9	39	model	model	NOUN
ajst-12276	9	40	for	for	ADP
ajst-12276	9	41	guizhou	guizhou	PROPN
ajst-12276	9	42	province	province	NOUN
ajst-12276	9	43	in	in	ADP
ajst-12276	9	44	2021	2021	NUM
ajst-12276	9	45	using	use	VERB
ajst-12276	9	46	multiple	multiple	ADJ
ajst-12276	9	47	spatiotemporal	spatiotemporal	ADJ
ajst-12276	9	48	big	big	ADJ
ajst-12276	9	49	data	datum	NOUN
ajst-12276	9	50	and	and	CCONJ
ajst-12276	9	51	multiple	multiple	ADJ
ajst-12276	9	52	linear	linear	ADJ
ajst-12276	9	53	statistical	statistical	ADJ
ajst-12276	9	54	regression	regression	NOUN
ajst-12276	9	55	methods	method	NOUN
ajst-12276	9	56	,	,	PUNCT
ajst-12276	9	57	and	and	CCONJ
ajst-12276	9	58	evaluated	evaluate	VERB
ajst-12276	9	59	and	and	CCONJ
ajst-12276	9	60	compared	compare	VERB
ajst-12276	9	61	the	the	DET
ajst-12276	9	62	accuracy	accuracy	NOUN
ajst-12276	9	63	of	of	ADP
ajst-12276	9	64	the	the	DET
ajst-12276	9	65	model	model	NOUN
ajst-12276	9	66	results	result	NOUN
ajst-12276	9	67	.	.	PUNCT
ajst-12276	10	1	these	these	DET
ajst-12276	10	2	results	result	NOUN
ajst-12276	10	3	have	have	VERB
ajst-12276	10	4	important	important	ADJ
ajst-12276	10	5	practical	practical	ADJ
ajst-12276	10	6	significance	significance	NOUN
ajst-12276	10	7	for	for	ADP
ajst-12276	10	8	understanding	understand	VERB
ajst-12276	10	9	the	the	DET
ajst-12276	10	10	population	population	NOUN
ajst-12276	10	11	distribution	distribution	NOUN
ajst-12276	10	12	,	,	PUNCT
ajst-12276	10	13	formulating	formulate	VERB
ajst-12276	10	14	land	land	NOUN
ajst-12276	10	15	use	use	NOUN
ajst-12276	10	16	planning	planning	NOUN
ajst-12276	10	17	and	and	CCONJ
ajst-12276	10	18	public	public	ADJ
ajst-12276	10	19	policies	policy	NOUN
ajst-12276	10	20	in	in	ADP
ajst-12276	10	21	guizhou	guizhou	PROPN
ajst-12276	10	22	province	province	NOUN
ajst-12276	10	23	.	.	PUNCT
ajst-12276	11	1	keywords	keyword	NOUN
ajst-12276	11	2	:	:	PUNCT
ajst-12276	11	3	population	population	NOUN
ajst-12276	11	4	distribution	distribution	NOUN
ajst-12276	11	5	,	,	PUNCT
ajst-12276	11	6	spatialization	spatialization	NOUN
ajst-12276	11	7	,	,	PUNCT
ajst-12276	11	8	convolutional	convolutional	ADJ
ajst-12276	11	9	neural	neural	ADJ
ajst-12276	11	10	network	network	NOUN
ajst-12276	11	11	(	(	PUNCT
ajst-12276	11	12	cnn	cnn	PROPN
ajst-12276	11	13	)	)	PUNCT
ajst-12276	11	14	,	,	PUNCT
ajst-12276	11	15	guizhou	guizhou	NOUN
ajst-12276	11	16	province	province	PROPN
ajst-12276	11	17	,	,	PUNCT
ajst-12276	11	18	poi	poi	PROPN
ajst-12276	11	19	.	.	PROPN
ajst-12276	11	20	1	1	NUM
ajst-12276	11	21	.	.	X
ajst-12276	11	22	introduction	introduction	NOUN
ajst-12276	11	23	the	the	DET
ajst-12276	11	24	spatialization	spatialization	NOUN
ajst-12276	11	25	of	of	ADP
ajst-12276	11	26	demographic	demographic	ADJ
ajst-12276	11	27	data	datum	NOUN
ajst-12276	11	28	can	can	AUX
ajst-12276	11	29	break	break	VERB
ajst-12276	11	30	regional	regional	ADJ
ajst-12276	11	31	restrictions	restriction	NOUN
ajst-12276	11	32	and	and	CCONJ
ajst-12276	11	33	achieve	achieve	VERB
ajst-12276	11	34	the	the	DET
ajst-12276	11	35	transformation	transformation	NOUN
ajst-12276	11	36	of	of	ADP
ajst-12276	11	37	population	population	NOUN
ajst-12276	11	38	data	datum	NOUN
ajst-12276	11	39	from	from	ADP
ajst-12276	11	40	administrative	administrative	ADJ
ajst-12276	11	41	regions	region	NOUN
ajst-12276	11	42	to	to	ADP
ajst-12276	11	43	regular	regular	ADJ
ajst-12276	11	44	grid	grid	NOUN
ajst-12276	11	45	forms	form	NOUN
ajst-12276	11	46	,	,	PUNCT
ajst-12276	11	47	thus	thus	ADV
ajst-12276	11	48	simulating	simulate	VERB
ajst-12276	11	49	the	the	DET
ajst-12276	11	50	actual	actual	ADJ
ajst-12276	11	51	population	population	NOUN
ajst-12276	11	52	distribution	distribution	NOUN
ajst-12276	11	53	and	and	CCONJ
ajst-12276	11	54	reproducing	reproduce	VERB
ajst-12276	11	55	the	the	DET
ajst-12276	11	56	actual	actual	ADJ
ajst-12276	11	57	population	population	NOUN
ajst-12276	11	58	distribution	distribution	NOUN
ajst-12276	11	59	.	.	PUNCT
ajst-12276	12	1	it	it	PRON
ajst-12276	12	2	is	be	AUX
ajst-12276	12	3	of	of	ADP
ajst-12276	12	4	great	great	ADJ
ajst-12276	12	5	significance	significance	NOUN
ajst-12276	12	6	for	for	ADP
ajst-12276	12	7	solving	solve	VERB
ajst-12276	12	8	the	the	DET
ajst-12276	12	9	problem	problem	NOUN
ajst-12276	12	10	of	of	ADP
ajst-12276	12	11	coupling	couple	VERB
ajst-12276	12	12	natural	natural	ADJ
ajst-12276	12	13	resources	resource	NOUN
ajst-12276	12	14	,	,	PUNCT
ajst-12276	12	15	environment	environment	NOUN
ajst-12276	12	16	,	,	PUNCT
ajst-12276	12	17	and	and	CCONJ
ajst-12276	12	18	population	population	NOUN
ajst-12276	12	19	,	,	PUNCT
ajst-12276	12	20	and	and	CCONJ
ajst-12276	12	21	formulating	formulate	VERB
ajst-12276	12	22	national	national	ADJ
ajst-12276	12	23	macroeconomic	macroeconomic	ADJ
ajst-12276	12	24	decisions	decision	NOUN
ajst-12276	12	25	.	.	PUNCT
ajst-12276	13	1	based	base	VERB
ajst-12276	13	2	on	on	ADP
ajst-12276	13	3	different	different	ADJ
ajst-12276	13	4	population	population	NOUN
ajst-12276	13	5	distribution	distribution	NOUN
ajst-12276	13	6	influencing	influence	VERB
ajst-12276	13	7	factors	factor	NOUN
ajst-12276	13	8	and	and	CCONJ
ajst-12276	13	9	various	various	ADJ
ajst-12276	13	10	auxiliary	auxiliary	ADJ
ajst-12276	13	11	data	datum	NOUN
ajst-12276	13	12	,	,	PUNCT
ajst-12276	13	13	various	various	ADJ
ajst-12276	13	14	spatialization	spatialization	NOUN
ajst-12276	13	15	methods	method	NOUN
ajst-12276	13	16	for	for	ADP
ajst-12276	13	17	demographic	demographic	ADJ
ajst-12276	13	18	data	datum	NOUN
ajst-12276	13	19	have	have	AUX
ajst-12276	13	20	been	be	AUX
ajst-12276	13	21	developed	develop	VERB
ajst-12276	13	22	,	,	PUNCT
ajst-12276	13	23	mainly	mainly	ADV
ajst-12276	13	24	including	include	VERB
ajst-12276	13	25	spatial	spatial	ADJ
ajst-12276	13	26	interpolation	interpolation	NOUN
ajst-12276	13	27	,	,	PUNCT
ajst-12276	13	28	multisource	multisource	ADJ
ajst-12276	13	29	data	datum	NOUN
ajst-12276	13	30	fusion	fusion	NOUN
ajst-12276	13	31	,	,	PUNCT
ajst-12276	13	32	remote	remote	ADJ
ajst-12276	13	33	sensing	sense	VERB
ajst-12276	13	34	estimation	estimation	NOUN
ajst-12276	13	35	,	,	PUNCT
ajst-12276	13	36	and	and	CCONJ
ajst-12276	13	37	land	land	NOUN
ajst-12276	13	38	use	use	VERB
ajst-12276	13	39	modeling	modeling	NOUN
ajst-12276	13	40	methods	method	NOUN
ajst-12276	13	41	.	.	PUNCT
ajst-12276	14	1	among	among	ADP
ajst-12276	14	2	them	they	PRON
ajst-12276	14	3	,	,	PUNCT
ajst-12276	14	4	the	the	DET
ajst-12276	14	5	spatial	spatial	ADJ
ajst-12276	14	6	pattern	pattern	NOUN
ajst-12276	14	7	of	of	ADP
ajst-12276	14	8	land	land	NOUN
ajst-12276	14	9	use	use	NOUN
ajst-12276	14	10	/	/	SYM
ajst-12276	14	11	coverage	coverage	NOUN
ajst-12276	14	12	is	be	AUX
ajst-12276	14	13	closely	closely	ADV
ajst-12276	14	14	related	relate	VERB
ajst-12276	14	15	to	to	ADP
ajst-12276	14	16	the	the	DET
ajst-12276	14	17	spatial	spatial	ADJ
ajst-12276	14	18	distribution	distribution	NOUN
ajst-12276	14	19	of	of	ADP
ajst-12276	14	20	population	population	NOUN
ajst-12276	14	21	.	.	PUNCT
ajst-12276	15	1	based	base	VERB
ajst-12276	15	2	on	on	ADP
ajst-12276	15	3	the	the	DET
ajst-12276	15	4	relationship	relationship	NOUN
ajst-12276	15	5	between	between	ADP
ajst-12276	15	6	land	land	NOUN
ajst-12276	15	7	use	use	NOUN
ajst-12276	15	8	types	type	NOUN
ajst-12276	15	9	and	and	CCONJ
ajst-12276	15	10	population	population	NOUN
ajst-12276	15	11	distribution	distribution	NOUN
ajst-12276	15	12	,	,	PUNCT
ajst-12276	15	13	the	the	DET
ajst-12276	15	14	method	method	NOUN
ajst-12276	15	15	of	of	ADP
ajst-12276	15	16	establishing	establish	VERB
ajst-12276	15	17	convolutional	convolutional	ADJ
ajst-12276	15	18	neural	neural	ADJ
ajst-12276	15	19	network	network	NOUN
ajst-12276	15	20	models	model	NOUN
ajst-12276	15	21	for	for	ADP
ajst-12276	15	22	simulating	simulate	VERB
ajst-12276	15	23	population	population	NOUN
ajst-12276	15	24	spatial	spatial	ADJ
ajst-12276	15	25	distribution	distribution	NOUN
ajst-12276	15	26	is	be	AUX
ajst-12276	15	27	the	the	DET
ajst-12276	15	28	most	most	ADV
ajst-12276	15	29	widely	widely	ADV
ajst-12276	15	30	used	use	VERB
ajst-12276	15	31	.	.	PUNCT
ajst-12276	16	1	on	on	ADP
ajst-12276	16	2	this	this	DET
ajst-12276	16	3	basis	basis	NOUN
ajst-12276	16	4	,	,	PUNCT
ajst-12276	16	5	in	in	ADP
ajst-12276	16	6	order	order	NOUN
ajst-12276	16	7	to	to	PART
ajst-12276	16	8	reflect	reflect	VERB
ajst-12276	16	9	the	the	DET
ajst-12276	16	10	differences	difference	NOUN
ajst-12276	16	11	in	in	ADP
ajst-12276	16	12	population	population	NOUN
ajst-12276	16	13	spatial	spatial	ADJ
ajst-12276	16	14	distribution	distribution	NOUN
ajst-12276	16	15	within	within	ADP
ajst-12276	16	16	the	the	DET
ajst-12276	16	17	same	same	ADJ
ajst-12276	16	18	land	land	NOUN
ajst-12276	16	19	use	use	NOUN
ajst-12276	16	20	type	type	NOUN
ajst-12276	16	21	,	,	PUNCT
ajst-12276	16	22	some	some	DET
ajst-12276	16	23	scholars	scholar	NOUN
ajst-12276	16	24	analyze	analyze	VERB
ajst-12276	16	25	the	the	DET
ajst-12276	16	26	differences	difference	NOUN
ajst-12276	16	27	in	in	ADP
ajst-12276	16	28	population	population	NOUN
ajst-12276	16	29	distribution	distribution	NOUN
ajst-12276	16	30	characteristics	characteristic	NOUN
ajst-12276	16	31	of	of	ADP
ajst-12276	16	32	the	the	DET
ajst-12276	16	33	same	same	ADJ
ajst-12276	16	34	land	land	NOUN
ajst-12276	16	35	use	use	NOUN
ajst-12276	16	36	type	type	NOUN
ajst-12276	16	37	in	in	ADP
ajst-12276	16	38	different	different	ADJ
ajst-12276	16	39	geographical	geographical	ADJ
ajst-12276	16	40	locations	location	NOUN
ajst-12276	16	41	and	and	CCONJ
ajst-12276	16	42	classify	classify	VERB
ajst-12276	16	43	land	land	NOUN
ajst-12276	16	44	use	use	NOUN
ajst-12276	16	45	data	datum	NOUN
ajst-12276	16	46	to	to	PART
ajst-12276	16	47	improve	improve	VERB
ajst-12276	16	48	the	the	DET
ajst-12276	16	49	accuracy	accuracy	NOUN
ajst-12276	16	50	of	of	ADP
ajst-12276	16	51	the	the	DET
ajst-12276	16	52	original	original	ADJ
ajst-12276	16	53	model	model	NOUN
ajst-12276	16	54	;	;	PUNCT
ajst-12276	16	55	some	some	DET
ajst-12276	16	56	scholars	scholar	NOUN
ajst-12276	16	57	use	use	VERB
ajst-12276	16	58	nighttime	nighttime	NOUN
ajst-12276	16	59	lighting	lighting	NOUN
ajst-12276	16	60	data	datum	NOUN
ajst-12276	16	61	or	or	CCONJ
ajst-12276	16	62	other	other	ADJ
ajst-12276	16	63	auxiliary	auxiliary	ADJ
ajst-12276	16	64	data	datum	NOUN
ajst-12276	16	65	to	to	PART
ajst-12276	16	66	reclassify	reclassify	VERB
ajst-12276	16	67	or	or	CCONJ
ajst-12276	16	68	extract	extract	VERB
ajst-12276	16	69	features	feature	NOUN
ajst-12276	16	70	from	from	ADP
ajst-12276	16	71	land	land	NOUN
ajst-12276	16	72	use	use	NOUN
ajst-12276	16	73	data	datum	NOUN
ajst-12276	16	74	.	.	PUNCT
ajst-12276	17	1	the	the	DET
ajst-12276	17	2	spatialization	spatialization	NOUN
ajst-12276	17	3	of	of	ADP
ajst-12276	17	4	population	population	NOUN
ajst-12276	17	5	statistics	statistic	NOUN
ajst-12276	17	6	data	datum	NOUN
ajst-12276	17	7	can	can	AUX
ajst-12276	17	8	break	break	VERB
ajst-12276	17	9	regional	regional	ADJ
ajst-12276	17	10	restrictions	restriction	NOUN
ajst-12276	17	11	and	and	CCONJ
ajst-12276	17	12	achieve	achieve	VERB
ajst-12276	17	13	the	the	DET
ajst-12276	17	14	transformation	transformation	NOUN
ajst-12276	17	15	of	of	ADP
ajst-12276	17	16	population	population	NOUN
ajst-12276	17	17	data	datum	NOUN
ajst-12276	17	18	from	from	ADP
ajst-12276	17	19	administrative	administrative	ADJ
ajst-12276	17	20	regions	region	NOUN
ajst-12276	17	21	to	to	ADP
ajst-12276	17	22	regular	regular	ADJ
ajst-12276	17	23	grid	grid	NOUN
ajst-12276	17	24	forms	form	NOUN
ajst-12276	17	25	of	of	ADP
ajst-12276	17	26	population	population	NOUN
ajst-12276	17	27	spatial	spatial	ADJ
ajst-12276	17	28	data	data	PROPN
ajst-12276	17	29	.	.	PUNCT
ajst-12276	18	1	this	this	PRON
ajst-12276	18	2	simulates	simulate	VERB
ajst-12276	18	3	the	the	DET
ajst-12276	18	4	actual	actual	ADJ
ajst-12276	18	5	population	population	NOUN
ajst-12276	18	6	distribution	distribution	NOUN
ajst-12276	18	7	and	and	CCONJ
ajst-12276	18	8	reproduces	reproduce	VERB
ajst-12276	18	9	the	the	DET
ajst-12276	18	10	actual	actual	ADJ
ajst-12276	18	11	population	population	NOUN
ajst-12276	18	12	distribution	distribution	NOUN
ajst-12276	18	13	,	,	PUNCT
ajst-12276	18	14	which	which	PRON
ajst-12276	18	15	is	be	AUX
ajst-12276	18	16	beneficial	beneficial	ADJ
ajst-12276	18	17	for	for	ADP
ajst-12276	18	18	solving	solve	VERB
ajst-12276	18	19	the	the	DET
ajst-12276	18	20	coupling	coupling	NOUN
ajst-12276	18	21	problem	problem	NOUN
ajst-12276	18	22	between	between	ADP
ajst-12276	18	23	natural	natural	ADJ
ajst-12276	18	24	resources	resource	NOUN
ajst-12276	18	25	,	,	PUNCT
ajst-12276	18	26	environment	environment	NOUN
ajst-12276	18	27	,	,	PUNCT
ajst-12276	18	28	and	and	CCONJ
ajst-12276	18	29	population	population	NOUN
ajst-12276	18	30	the	the	DET
ajst-12276	18	31	formulation	formulation	NOUN
ajst-12276	18	32	of	of	ADP
ajst-12276	18	33	national	national	ADJ
ajst-12276	18	34	macroeconomic	macroeconomic	ADJ
ajst-12276	18	35	decisions	decision	NOUN
ajst-12276	18	36	is	be	AUX
ajst-12276	18	37	of	of	ADP
ajst-12276	18	38	great	great	ADJ
ajst-12276	18	39	significance	significance	NOUN
ajst-12276	18	40	.	.	PUNCT
ajst-12276	19	1	based	base	VERB
ajst-12276	19	2	on	on	ADP
ajst-12276	19	3	different	different	ADJ
ajst-12276	19	4	population	population	NOUN
ajst-12276	19	5	distribution	distribution	NOUN
ajst-12276	19	6	influencing	influence	VERB
ajst-12276	19	7	factors	factor	NOUN
ajst-12276	19	8	and	and	CCONJ
ajst-12276	19	9	various	various	ADJ
ajst-12276	19	10	auxiliary	auxiliary	ADJ
ajst-12276	19	11	data	datum	NOUN
ajst-12276	19	12	,	,	PUNCT
ajst-12276	19	13	various	various	ADJ
ajst-12276	19	14	spatialization	spatialization	NOUN
ajst-12276	19	15	methods	method	NOUN
ajst-12276	19	16	for	for	ADP
ajst-12276	19	17	demographic	demographic	ADJ
ajst-12276	19	18	data	datum	NOUN
ajst-12276	19	19	have	have	AUX
ajst-12276	19	20	been	be	AUX
ajst-12276	19	21	developed	develop	VERB
ajst-12276	19	22	.	.	PUNCT
ajst-12276	20	1	2	2	X
ajst-12276	20	2	.	.	X
ajst-12276	20	3	research	research	NOUN
ajst-12276	20	4	on	on	ADP
ajst-12276	20	5	population	population	NOUN
ajst-12276	20	6	simulation	simulation	NOUN
ajst-12276	20	7	based	base	VERB
ajst-12276	20	8	on	on	ADP
ajst-12276	20	9	convolutional	convolutional	ADJ
ajst-12276	20	10	neural	neural	ADJ
ajst-12276	20	11	network	network	NOUN
ajst-12276	20	12	2.1	2.1	NUM
ajst-12276	20	13	.	.	PUNCT
ajst-12276	21	1	convolutional	convolutional	ADJ
ajst-12276	21	2	neural	neural	ADJ
ajst-12276	21	3	network	network	NOUN
ajst-12276	21	4	convolutional	convolutional	ADJ
ajst-12276	21	5	neural	neural	ADJ
ajst-12276	21	6	network	network	NOUN
ajst-12276	21	7	,	,	PUNCT
ajst-12276	21	8	abbreviated	abbreviate	VERB
ajst-12276	21	9	as	as	ADP
ajst-12276	21	10	cnn	cnn	PROPN
ajst-12276	21	11	in	in	ADP
ajst-12276	21	12	english	english	PROPN
ajst-12276	21	13	,	,	PUNCT
ajst-12276	21	14	is	be	AUX
ajst-12276	21	15	a	a	DET
ajst-12276	21	16	way	way	NOUN
ajst-12276	21	17	of	of	ADP
ajst-12276	21	18	simulating	simulate	VERB
ajst-12276	21	19	brain	brain	NOUN
ajst-12276	21	20	networks	network	NOUN
ajst-12276	21	21	to	to	PART
ajst-12276	21	22	process	process	VERB
ajst-12276	21	23	information	information	NOUN
ajst-12276	21	24	through	through	ADP
ajst-12276	21	25	multiple	multiple	ADJ
ajst-12276	21	26	neurons	neuron	NOUN
ajst-12276	21	27	and	and	CCONJ
ajst-12276	21	28	convolutional	convolutional	ADJ
ajst-12276	21	29	kernels	kernel	NOUN
ajst-12276	21	30	.	.	PUNCT
ajst-12276	22	1	it	it	PRON
ajst-12276	22	2	is	be	AUX
ajst-12276	22	3	specifically	specifically	ADV
ajst-12276	22	4	designed	design	VERB
ajst-12276	22	5	to	to	PART
ajst-12276	22	6	process	process	VERB
ajst-12276	22	7	large	large	ADJ
ajst-12276	22	8	-	-	PUNCT
ajst-12276	22	9	scale	scale	NOUN
ajst-12276	22	10	images	image	NOUN
ajst-12276	22	11	or	or	CCONJ
ajst-12276	22	12	sensory	sensory	ADJ
ajst-12276	22	13	data	datum	NOUN
ajst-12276	22	14	in	in	ADP
ajst-12276	22	15	a	a	DET
ajst-12276	22	16	multi	multi	ADJ
ajst-12276	22	17	array	array	NOUN
ajst-12276	22	18	format	format	NOUN
ajst-12276	22	19	by	by	ADP
ajst-12276	22	20	considering	consider	VERB
ajst-12276	22	21	local	local	ADJ
ajst-12276	22	22	and	and	CCONJ
ajst-12276	22	23	global	global	ADJ
ajst-12276	22	24	stationary	stationary	ADJ
ajst-12276	22	25	characteristics	characteristic	NOUN
ajst-12276	22	26	.	.	PUNCT
ajst-12276	23	1	the	the	DET
ajst-12276	23	2	structure	structure	NOUN
ajst-12276	23	3	of	of	ADP
ajst-12276	23	4	convolutional	convolutional	ADJ
ajst-12276	23	5	neural	neural	ADJ
ajst-12276	23	6	networks	network	NOUN
ajst-12276	23	7	can	can	AUX
ajst-12276	23	8	be	be	AUX
ajst-12276	23	9	roughly	roughly	ADV
ajst-12276	23	10	divided	divide	VERB
ajst-12276	23	11	into	into	ADP
ajst-12276	23	12	three	three	NUM
ajst-12276	23	13	layers[2	layers[2	PROPN
ajst-12276	23	14	]	]	PUNCT
ajst-12276	23	15	.	.	PUNCT
ajst-12276	24	1	input	input	NOUN
ajst-12276	24	2	layer	layer	NOUN
ajst-12276	24	3	,	,	PUNCT
ajst-12276	24	4	hidden	hide	VERB
ajst-12276	24	5	layer	layer	NOUN
ajst-12276	24	6	,	,	PUNCT
ajst-12276	24	7	output	output	NOUN
ajst-12276	24	8	layer	layer	NOUN
ajst-12276	24	9	.	.	PUNCT
ajst-12276	25	1	the	the	DET
ajst-12276	25	2	following	following	NOUN
ajst-12276	25	3	focuses	focus	VERB
ajst-12276	25	4	on	on	ADP
ajst-12276	25	5	the	the	DET
ajst-12276	25	6	hidden	hide	VERB
ajst-12276	25	7	layer	layer	NOUN
ajst-12276	25	8	structure	structure	NOUN
ajst-12276	25	9	:	:	PUNCT
ajst-12276	25	10	(	(	PUNCT
ajst-12276	25	11	1	1	X
ajst-12276	25	12	)	)	PUNCT
ajst-12276	25	13	convolutional	convolutional	ADJ
ajst-12276	25	14	layer	layer	NOUN
ajst-12276	25	15	in	in	ADP
ajst-12276	25	16	a	a	DET
ajst-12276	25	17	convolutional	convolutional	ADJ
ajst-12276	25	18	layer	layer	NOUN
ajst-12276	25	19	,	,	PUNCT
ajst-12276	25	20	each	each	DET
ajst-12276	25	21	neuron	neuron	NOUN
ajst-12276	25	22	in	in	ADP
ajst-12276	25	23	that	that	DET
ajst-12276	25	24	layer	layer	NOUN
ajst-12276	25	25	performs	perform	VERB
ajst-12276	25	26	convolution	convolution	NOUN
ajst-12276	25	27	operations	operation	NOUN
ajst-12276	25	28	with	with	ADP
ajst-12276	25	29	a	a	DET
ajst-12276	25	30	weighted	weight	VERB
ajst-12276	25	31	and	and	CCONJ
ajst-12276	25	32	biased	biased	ADJ
ajst-12276	25	33	convolutional	convolutional	ADJ
ajst-12276	25	34	kernel	kernel	NOUN
ajst-12276	25	35	.	.	PUNCT
ajst-12276	26	1	due	due	ADP
ajst-12276	26	2	to	to	ADP
ajst-12276	26	3	the	the	DET
ajst-12276	26	4	use	use	NOUN
ajst-12276	26	5	of	of	ADP
ajst-12276	26	6	convolutional	convolutional	ADJ
ajst-12276	26	7	extraction	extraction	NOUN
ajst-12276	26	8	,	,	PUNCT
ajst-12276	26	9	the	the	DET
ajst-12276	26	10	convolutional	convolutional	ADJ
ajst-12276	26	11	kernel	kernel	NOUN
ajst-12276	26	12	has	have	VERB
ajst-12276	26	13	the	the	DET
ajst-12276	26	14	function	function	NOUN
ajst-12276	26	15	of	of	ADP
ajst-12276	26	16	local	local	ADJ
ajst-12276	26	17	extraction	extraction	NOUN
ajst-12276	26	18	,	,	PUNCT
ajst-12276	26	19	which	which	PRON
ajst-12276	26	20	can	can	AUX
ajst-12276	26	21	fully	fully	ADV
ajst-12276	26	22	extract	extract	VERB
ajst-12276	26	23	each	each	DET
ajst-12276	26	24	local	local	ADJ
ajst-12276	26	25	feature	feature	NOUN
ajst-12276	26	26	in	in	ADP
ajst-12276	26	27	image	image	NOUN
ajst-12276	26	28	and	and	CCONJ
ajst-12276	26	29	text	text	NOUN
ajst-12276	26	30	data	datum	NOUN
ajst-12276	26	31	,	,	PUNCT
ajst-12276	26	32	as	as	ADV
ajst-12276	26	33	well	well	ADV
ajst-12276	26	34	as	as	ADP
ajst-12276	26	35	the	the	DET
ajst-12276	26	36	spatial	spatial	ADJ
ajst-12276	26	37	position	position	NOUN
ajst-12276	26	38	relationship	relationship	NOUN
ajst-12276	26	39	between	between	ADP
ajst-12276	26	40	local	local	ADJ
ajst-12276	26	41	features	feature	NOUN
ajst-12276	26	42	.	.	PUNCT
ajst-12276	27	1	in	in	ADP
ajst-12276	27	2	addition	addition	NOUN
ajst-12276	27	3	,	,	PUNCT
ajst-12276	27	4	all	all	DET
ajst-12276	27	5	neurons	neuron	NOUN
ajst-12276	27	6	belonging	belong	VERB
ajst-12276	27	7	to	to	ADP
ajst-12276	27	8	a	a	DET
ajst-12276	27	9	certain	certain	ADJ
ajst-12276	27	10	feature	feature	NOUN
ajst-12276	27	11	in	in	ADP
ajst-12276	27	12	the	the	DET
ajst-12276	27	13	convolutional	convolutional	ADJ
ajst-12276	27	14	layer	layer	NOUN
ajst-12276	27	15	share	share	VERB
ajst-12276	27	16	the	the	DET
ajst-12276	27	17	same	same	ADJ
ajst-12276	27	18	weighted	weight	VERB
ajst-12276	27	19	link	link	NOUN
ajst-12276	27	20	.	.	PUNCT
ajst-12276	28	1	the	the	DET
ajst-12276	28	2	biggest	big	ADJ
ajst-12276	28	3	advantage	advantage	NOUN
ajst-12276	28	4	of	of	ADP
ajst-12276	28	5	convolutional	convolutional	ADJ
ajst-12276	28	6	neural	neural	ADJ
ajst-12276	28	7	networks	network	NOUN
ajst-12276	28	8	is	be	AUX
ajst-12276	28	9	that	that	SCONJ
ajst-12276	28	10	the	the	DET
ajst-12276	28	11	weights	weight	NOUN
ajst-12276	28	12	of	of	ADP
ajst-12276	28	13	convolutional	convolutional	ADJ
ajst-12276	28	14	kernels	kernel	NOUN
ajst-12276	28	15	are	be	AUX
ajst-12276	28	16	214	214	NUM
ajst-12276	28	17	shared	share	VERB
ajst-12276	28	18	during	during	ADP
ajst-12276	28	19	local	local	ADJ
ajst-12276	28	20	feature	feature	NOUN
ajst-12276	28	21	extraction	extraction	NOUN
ajst-12276	28	22	,	,	PUNCT
ajst-12276	28	23	which	which	PRON
ajst-12276	28	24	reduces	reduce	VERB
ajst-12276	28	25	the	the	DET
ajst-12276	28	26	complexity	complexity	NOUN
ajst-12276	28	27	of	of	ADP
ajst-12276	28	28	the	the	DET
ajst-12276	28	29	computational	computational	ADJ
ajst-12276	28	30	process	process	NOUN
ajst-12276	28	31	.	.	PUNCT
ajst-12276	29	1	assuming	assume	VERB
ajst-12276	29	2	xij	xij	PRON
ajst-12276	29	3	represents	represent	VERB
ajst-12276	29	4	the	the	DET
ajst-12276	29	5	overall	overall	ADJ
ajst-12276	29	6	value	value	NOUN
ajst-12276	29	7	in	in	ADP
ajst-12276	29	8	the	the	DET
ajst-12276	29	9	grid	grid	NOUN
ajst-12276	29	10	cells	cell	NOUN
ajst-12276	29	11	(	(	PUNCT
ajst-12276	29	12	i	i	PROPN
ajst-12276	29	13	,	,	PUNCT
ajst-12276	29	14	j	j	PROPN
ajst-12276	29	15	)	)	PUNCT
ajst-12276	29	16	of	of	ADP
ajst-12276	29	17	the	the	DET
ajst-12276	29	18	input	input	NOUN
ajst-12276	29	19	image[3	image[3	PROPN
ajst-12276	29	20	]	]	X
ajst-12276	29	21	.	.	PUNCT
ajst-12276	30	1	,	,	PUNCT
ajst-12276	30	2	the	the	DET
ajst-12276	30	3	k	k	NOUN
ajst-12276	30	4	-	-	PUNCT
ajst-12276	30	5	th	th	VERB
ajst-12276	30	6	output	output	NOUN
ajst-12276	30	7	feature	feature	NOUN
ajst-12276	30	8	map	map	NOUN
ajst-12276	30	9	can	can	AUX
ajst-12276	30	10	be	be	AUX
ajst-12276	30	11	calculated	calculate	VERB
ajst-12276	30	12	using	use	VERB
ajst-12276	30	13	the	the	DET
ajst-12276	30	14	following	follow	VERB
ajst-12276	30	15	formula	formula	NOUN
ajst-12276	30	16	:	:	PUNCT
ajst-12276	30	17	(	(	PUNCT
ajst-12276	30	18	1	1	X
ajst-12276	30	19	)	)	PUNCT
ajst-12276	30	20	where	where	SCONJ
ajst-12276	30	21	l	l	NOUN
ajst-12276	30	22	represents	represent	VERB
ajst-12276	30	23	the	the	DET
ajst-12276	30	24	current	current	ADJ
ajst-12276	30	25	layer	layer	NOUN
ajst-12276	30	26	and	and	CCONJ
ajst-12276	30	27	k	k	PROPN
ajst-12276	30	28	represents	represent	VERB
ajst-12276	30	29	the	the	DET
ajst-12276	30	30	depth	depth	NOUN
ajst-12276	30	31	of	of	ADP
ajst-12276	30	32	the	the	DET
ajst-12276	30	33	convolutional	convolutional	ADJ
ajst-12276	30	34	kernel	kernel	NOUN
ajst-12276	30	35	.	.	PUNCT
ajst-12276	31	1	l	l	NOUN
ajst-12276	31	2	kw	kw	INTJ
ajst-12276	31	3	and	and	CCONJ
ajst-12276	31	4	l	l	PROPN
ajst-12276	31	5	kb	kb	PROPN
ajst-12276	31	6	represent	represent	VERB
ajst-12276	31	7	the	the	DET
ajst-12276	31	8	weights	weight	NOUN
ajst-12276	31	9	and	and	CCONJ
ajst-12276	31	10	deviations	deviation	NOUN
ajst-12276	31	11	of	of	ADP
ajst-12276	31	12	the	the	DET
ajst-12276	31	13	k	k	NOUN
ajst-12276	31	14	-	-	PUNCT
ajst-12276	31	15	th	th	VERB
ajst-12276	31	16	feature	feature	NOUN
ajst-12276	31	17	in	in	ADP
ajst-12276	31	18	the	the	DET
ajst-12276	31	19	current	current	ADJ
ajst-12276	31	20	layer	layer	NOUN
ajst-12276	31	21	.	.	PUNCT
ajst-12276	32	1	(	(	PUNCT
ajst-12276	32	2	2	2	X
ajst-12276	32	3	)	)	PUNCT
ajst-12276	32	4	activation	activation	NOUN
ajst-12276	32	5	function	function	VERB
ajst-12276	32	6	the	the	DET
ajst-12276	32	7	activation	activation	NOUN
ajst-12276	32	8	function	function	NOUN
ajst-12276	32	9	is	be	AUX
ajst-12276	32	10	a	a	DET
ajst-12276	32	11	function	function	NOUN
ajst-12276	32	12	with	with	ADP
ajst-12276	32	13	a	a	DET
ajst-12276	32	14	nonlinear	nonlinear	ADJ
ajst-12276	32	15	relationship	relationship	NOUN
ajst-12276	32	16	,	,	PUNCT
ajst-12276	32	17	typically	typically	ADV
ajst-12276	32	18	including	include	VERB
ajst-12276	32	19	the	the	DET
ajst-12276	32	20	sigmoid	sigmoid	NOUN
ajst-12276	32	21	function	function	NOUN
ajst-12276	32	22	,	,	PUNCT
ajst-12276	32	23	tanh	tanh	PROPN
ajst-12276	32	24	function	function	NOUN
ajst-12276	32	25	,	,	PUNCT
ajst-12276	32	26	and	and	CCONJ
ajst-12276	32	27	relu	relu	NOUN
ajst-12276	32	28	function	function	NOUN
ajst-12276	32	29	.	.	PUNCT
ajst-12276	33	1	due	due	ADP
ajst-12276	33	2	to	to	ADP
ajst-12276	33	3	the	the	DET
ajst-12276	33	4	fact	fact	NOUN
ajst-12276	33	5	that	that	SCONJ
ajst-12276	33	6	the	the	DET
ajst-12276	33	7	characteristics	characteristic	NOUN
ajst-12276	33	8	of	of	ADP
ajst-12276	33	9	the	the	DET
ajst-12276	33	10	sample	sample	NOUN
ajst-12276	33	11	may	may	AUX
ajst-12276	33	12	be	be	AUX
ajst-12276	33	13	linear	linear	ADJ
ajst-12276	33	14	or	or	CCONJ
ajst-12276	33	15	nonlinear	nonlinear	ADJ
ajst-12276	33	16	,	,	PUNCT
ajst-12276	33	17	the	the	DET
ajst-12276	33	18	output	output	NOUN
ajst-12276	33	19	in	in	ADP
ajst-12276	33	20	the	the	DET
ajst-12276	33	21	convolutional	convolutional	ADJ
ajst-12276	33	22	layer	layer	NOUN
ajst-12276	33	23	is	be	AUX
ajst-12276	33	24	the	the	DET
ajst-12276	33	25	result	result	NOUN
ajst-12276	33	26	of	of	ADP
ajst-12276	33	27	matrix	matrix	NOUN
ajst-12276	33	28	multiplication	multiplication	NOUN
ajst-12276	33	29	,	,	PUNCT
ajst-12276	33	30	which	which	PRON
ajst-12276	33	31	has	have	VERB
ajst-12276	33	32	a	a	DET
ajst-12276	33	33	strong	strong	ADJ
ajst-12276	33	34	linear	linear	NOUN
ajst-12276	33	35	relationship	relationship	NOUN
ajst-12276	33	36	.	.	PUNCT
ajst-12276	34	1	therefore[4	therefore[4	PRON
ajst-12276	34	2	]	]	X
ajst-12276	34	3	.	.	PUNCT
ajst-12276	35	1	,	,	PUNCT
ajst-12276	35	2	it	it	PRON
ajst-12276	35	3	is	be	AUX
ajst-12276	35	4	necessary	necessary	ADJ
ajst-12276	35	5	to	to	PART
ajst-12276	35	6	perform	perform	VERB
ajst-12276	35	7	nonlinear	nonlinear	ADJ
ajst-12276	35	8	operations	operation	NOUN
ajst-12276	35	9	on	on	ADP
ajst-12276	35	10	the	the	DET
ajst-12276	35	11	neurons	neuron	NOUN
ajst-12276	35	12	in	in	ADP
ajst-12276	35	13	the	the	DET
ajst-12276	35	14	matrix	matrix	NOUN
ajst-12276	35	15	,	,	PUNCT
ajst-12276	35	16	so	so	SCONJ
ajst-12276	35	17	that	that	SCONJ
ajst-12276	35	18	the	the	DET
ajst-12276	35	19	output	output	NOUN
ajst-12276	35	20	neurons	neuron	NOUN
ajst-12276	35	21	have	have	VERB
ajst-12276	35	22	nonlinear	nonlinear	ADJ
ajst-12276	35	23	relationships	relationship	NOUN
ajst-12276	35	24	and	and	CCONJ
ajst-12276	35	25	the	the	DET
ajst-12276	35	26	neural	neural	ADJ
ajst-12276	35	27	network	network	NOUN
ajst-12276	35	28	has	have	VERB
ajst-12276	35	29	the	the	DET
ajst-12276	35	30	ability	ability	NOUN
ajst-12276	35	31	to	to	PART
ajst-12276	35	32	describe	describe	VERB
ajst-12276	35	33	nonlinear	nonlinear	ADJ
ajst-12276	35	34	relationships	relationship	NOUN
ajst-12276	35	35	.	.	PUNCT
ajst-12276	36	1	the	the	DET
ajst-12276	36	2	relu	relu	NOUN
ajst-12276	36	3	function	function	NOUN
ajst-12276	36	4	is	be	AUX
ajst-12276	36	5	as	as	SCONJ
ajst-12276	36	6	follows	follow	VERB
ajst-12276	36	7	:	:	PUNCT
ajst-12276	36	8	)	)	PUNCT
ajst-12276	36	9	,	,	PUNCT
ajst-12276	36	10	0max	0max	NUM
ajst-12276	36	11	(	(	PUNCT
ajst-12276	36	12	)	)	PUNCT
ajst-12276	36	13	(	(	PUNCT
ajst-12276	36	14	xxf	xxf	PROPN
ajst-12276	36	15			PROPN
ajst-12276	36	16	(	(	PUNCT
ajst-12276	36	17	2	2	NUM
ajst-12276	36	18	)	)	PUNCT
ajst-12276	36	19	(	(	PUNCT
ajst-12276	36	20	3	3	X
ajst-12276	36	21	)	)	PUNCT
ajst-12276	36	22	pooling	pool	VERB
ajst-12276	36	23	layer	layer	NOUN
ajst-12276	36	24	in	in	ADP
ajst-12276	36	25	the	the	DET
ajst-12276	36	26	pooling	pool	VERB
ajst-12276	36	27	layer	layer	NOUN
ajst-12276	36	28	,	,	PUNCT
ajst-12276	36	29	the	the	DET
ajst-12276	36	30	maximum	maximum	ADJ
ajst-12276	36	31	value	value	NOUN
ajst-12276	36	32	of	of	ADP
ajst-12276	36	33	adjacent	adjacent	ADJ
ajst-12276	36	34	grid	grid	NOUN
ajst-12276	36	35	cell	cell	NOUN
ajst-12276	36	36	groups	group	NOUN
ajst-12276	36	37	in	in	ADP
ajst-12276	36	38	the	the	DET
ajst-12276	36	39	same	same	ADJ
ajst-12276	36	40	block	block	NOUN
ajst-12276	36	41	in	in	ADP
ajst-12276	36	42	the	the	DET
ajst-12276	36	43	convolutional	convolutional	ADJ
ajst-12276	36	44	layer	layer	NOUN
ajst-12276	36	45	is	be	AUX
ajst-12276	36	46	extracted	extract	VERB
ajst-12276	36	47	,	,	PUNCT
ajst-12276	36	48	and	and	CCONJ
ajst-12276	36	49	the	the	DET
ajst-12276	36	50	output	output	NOUN
ajst-12276	36	51	is	be	AUX
ajst-12276	36	52	downsampled	downsample	VERB
ajst-12276	36	53	to	to	PART
ajst-12276	36	54	extract	extract	VERB
ajst-12276	36	55	features	feature	NOUN
ajst-12276	36	56	.	.	PUNCT
ajst-12276	37	1	this	this	DET
ajst-12276	37	2	method	method	NOUN
ajst-12276	37	3	,	,	PUNCT
ajst-12276	37	4	known	know	VERB
ajst-12276	37	5	as	as	ADP
ajst-12276	37	6	maximum	maximum	ADJ
ajst-12276	37	7	pooling	pool	VERB
ajst-12276	37	8	technology	technology	NOUN
ajst-12276	37	9	,	,	PUNCT
ajst-12276	37	10	is	be	AUX
ajst-12276	37	11	widely	widely	ADV
ajst-12276	37	12	used	use	VERB
ajst-12276	37	13	in	in	ADP
ajst-12276	37	14	convolutional	convolutional	ADJ
ajst-12276	37	15	and	and	CCONJ
ajst-12276	37	16	neural	neural	ADJ
ajst-12276	37	17	networks	network	NOUN
ajst-12276	37	18	because	because	SCONJ
ajst-12276	37	19	of	of	ADP
ajst-12276	37	20	its	its	PRON
ajst-12276	37	21	superior	superior	ADJ
ajst-12276	37	22	feature	feature	NOUN
ajst-12276	37	23	extraction	extraction	NOUN
ajst-12276	37	24	advantages	advantage	NOUN
ajst-12276	37	25	.	.	PUNCT
ajst-12276	38	1	the	the	DET
ajst-12276	38	2	purpose	purpose	NOUN
ajst-12276	38	3	of	of	ADP
ajst-12276	38	4	the	the	DET
ajst-12276	38	5	pooling	pooling	NOUN
ajst-12276	38	6	layer	layer	NOUN
ajst-12276	38	7	is	be	AUX
ajst-12276	38	8	to	to	PART
ajst-12276	38	9	reduce	reduce	VERB
ajst-12276	38	10	the	the	DET
ajst-12276	38	11	spatial	spatial	ADJ
ajst-12276	38	12	size	size	NOUN
ajst-12276	38	13	of	of	ADP
ajst-12276	38	14	the	the	DET
ajst-12276	38	15	input	input	NOUN
ajst-12276	38	16	overall	overall	ADJ
ajst-12276	38	17	feature	feature	NOUN
ajst-12276	38	18	map	map	NOUN
ajst-12276	38	19	and	and	CCONJ
ajst-12276	38	20	avoid	avoid	VERB
ajst-12276	38	21	overfitting	overfitte	VERB
ajst-12276	38	22	problems	problem	NOUN
ajst-12276	38	23	caused	cause	VERB
ajst-12276	38	24	by	by	ADP
ajst-12276	38	25	over	over	ADP
ajst-12276	38	26	sampling	sampling	NOUN
ajst-12276	38	27	of	of	ADP
ajst-12276	38	28	the	the	DET
ajst-12276	38	29	model	model	NOUN
ajst-12276	38	30	.	.	PUNCT
ajst-12276	38	31	)	)	PUNCT
ajst-12276	39	1	max	max	PROPN
ajst-12276	39	2	(	(	PUNCT
ajst-12276	39	3	)	)	PUNCT
ajst-12276	39	4	(	(	PUNCT
ajst-12276	39	5	l	l	NOUN
ajst-12276	40	1	i	i	VERB
ajst-12276	40	2	l	l	VERB
ajst-12276	40	3	xxf	xxf	NOUN
ajst-12276	41	1			NUM
ajst-12276	41	2	(	(	PUNCT
ajst-12276	41	3	3	3	NUM
ajst-12276	41	4	)	)	PUNCT
ajst-12276	41	5	)	)	PUNCT
ajst-12276	42	1	(	(	PUNCT
ajst-12276	42	2	lxf	lxf	NOUN
ajst-12276	42	3	represents	represent	VERB
ajst-12276	42	4	the	the	DET
ajst-12276	42	5	maximum	maximum	ADJ
ajst-12276	42	6	pooling	pooling	NOUN
ajst-12276	42	7	result	result	NOUN
ajst-12276	42	8	,	,	PUNCT
ajst-12276	42	9	and	and	CCONJ
ajst-12276	42	10	)	)	PUNCT
ajst-12276	42	11	max	max	PROPN
ajst-12276	42	12	(	(	PUNCT
ajst-12276	42	13	l	l	NOUN
ajst-12276	42	14	ix	ix	ADJ
ajst-12276	42	15	is	be	AUX
ajst-12276	42	16	the	the	DET
ajst-12276	42	17	maximum	maximum	ADJ
ajst-12276	42	18	value	value	NOUN
ajst-12276	42	19	of	of	ADP
ajst-12276	42	20	the	the	DET
ajst-12276	42	21	neurons	neuron	NOUN
ajst-12276	42	22	in	in	ADP
ajst-12276	42	23	the	the	DET
ajst-12276	42	24	i	i	PROPN
ajst-12276	42	25	-	-	PUNCT
ajst-12276	42	26	th	th	PROPN
ajst-12276	42	27	unit	unit	NOUN
ajst-12276	42	28	of	of	ADP
ajst-12276	42	29	the	the	DET
ajst-12276	42	30	current	current	ADJ
ajst-12276	42	31	layer	layer	NOUN
ajst-12276	42	32	.	.	PUNCT
ajst-12276	43	1	(	(	PUNCT
ajst-12276	43	2	4	4	X
ajst-12276	43	3	)	)	PUNCT
ajst-12276	43	4	fully	fully	ADV
ajst-12276	43	5	connected	connect	VERB
ajst-12276	43	6	layer	layer	NOUN
ajst-12276	43	7	the	the	DET
ajst-12276	43	8	fully	fully	ADV
ajst-12276	43	9	connected	connect	VERB
ajst-12276	43	10	layer	layer	NOUN
ajst-12276	43	11	is	be	AUX
ajst-12276	43	12	composed	compose	VERB
ajst-12276	43	13	of	of	ADP
ajst-12276	43	14	convolutional	convolutional	ADJ
ajst-12276	43	15	and	and	CCONJ
ajst-12276	43	16	pooling	pool	VERB
ajst-12276	43	17	layers	layer	NOUN
ajst-12276	43	18	in	in	ADP
ajst-12276	43	19	the	the	DET
ajst-12276	43	20	form	form	NOUN
ajst-12276	43	21	of	of	ADP
ajst-12276	43	22	a	a	DET
ajst-12276	43	23	connected	connected	ADJ
ajst-12276	43	24	weight	weight	NOUN
ajst-12276	43	25	matrix	matrix	NOUN
ajst-12276	43	26	to	to	PART
ajst-12276	43	27	extract	extract	VERB
ajst-12276	43	28	features	feature	NOUN
ajst-12276	43	29	and	and	CCONJ
ajst-12276	43	30	obtain	obtain	VERB
ajst-12276	43	31	multiple	multiple	ADJ
ajst-12276	43	32	one	one	NUM
ajst-12276	43	33	-	-	PUNCT
ajst-12276	43	34	dimensional	dimensional	ADJ
ajst-12276	43	35	feature	feature	NOUN
ajst-12276	43	36	points	point	NOUN
ajst-12276	43	37	.	.	PUNCT
ajst-12276	44	1	its	its	PRON
ajst-12276	44	2	function	function	NOUN
ajst-12276	44	3	is	be	AUX
ajst-12276	44	4	to	to	PART
ajst-12276	44	5	integrate	integrate	VERB
ajst-12276	44	6	the	the	DET
ajst-12276	44	7	previously	previously	ADV
ajst-12276	44	8	extracted	extract	VERB
ajst-12276	44	9	local	local	ADJ
ajst-12276	44	10	feature	feature	NOUN
ajst-12276	44	11	information	information	NOUN
ajst-12276	44	12	,	,	PUNCT
ajst-12276	44	13	transform	transform	VERB
ajst-12276	44	14	onedimensional	onedimensional	ADJ
ajst-12276	44	15	feature	feature	NOUN
ajst-12276	44	16	vectors	vector	NOUN
ajst-12276	44	17	,	,	PUNCT
ajst-12276	44	18	and	and	CCONJ
ajst-12276	44	19	use	use	VERB
ajst-12276	44	20	classification	classification	NOUN
ajst-12276	44	21	functions	function	NOUN
ajst-12276	44	22	for	for	ADP
ajst-12276	44	23	classification	classification	NOUN
ajst-12276	44	24	or	or	CCONJ
ajst-12276	44	25	regression	regression	NOUN
ajst-12276	44	26	functions	function	NOUN
ajst-12276	44	27	for	for	ADP
ajst-12276	44	28	fitting	fitting	ADJ
ajst-12276	44	29	.	.	PUNCT
ajst-12276	45	1	2.2	2.2	NUM
ajst-12276	45	2	.	.	PUNCT
ajst-12276	45	3	overview	overview	NOUN
ajst-12276	45	4	of	of	ADP
ajst-12276	45	5	the	the	DET
ajst-12276	45	6	study	study	NOUN
ajst-12276	45	7	area	area	NOUN
ajst-12276	45	8	guizhou	guizhou	PROPN
ajst-12276	45	9	is	be	AUX
ajst-12276	45	10	a	a	DET
ajst-12276	45	11	province	province	NOUN
ajst-12276	45	12	in	in	ADP
ajst-12276	45	13	china	china	PROPN
ajst-12276	45	14	,	,	PUNCT
ajst-12276	45	15	abbreviated	abbreviate	VERB
ajst-12276	45	16	as	as	ADP
ajst-12276	45	17	"	"	PUNCT
ajst-12276	45	18	qian	qian	ADJ
ajst-12276	45	19	"	"	PUNCT
ajst-12276	45	20	or	or	CCONJ
ajst-12276	45	21	"	"	PUNCT
ajst-12276	45	22	gui	gui	NOUN
ajst-12276	45	23	"	"	PUNCT
ajst-12276	45	24	,	,	PUNCT
ajst-12276	45	25	located	locate	VERB
ajst-12276	45	26	in	in	ADP
ajst-12276	45	27	the	the	DET
ajst-12276	45	28	hinterland	hinterland	NOUN
ajst-12276	45	29	of	of	ADP
ajst-12276	45	30	the	the	DET
ajst-12276	45	31	southwestern	southwestern	ADJ
ajst-12276	45	32	inland	inland	NOUN
ajst-12276	45	33	region	region	NOUN
ajst-12276	45	34	of	of	ADP
ajst-12276	45	35	the	the	DET
ajst-12276	45	36	people	people	NOUN
ajst-12276	45	37	's	's	PART
ajst-12276	45	38	republic	republic	NOUN
ajst-12276	45	39	of	of	ADP
ajst-12276	45	40	china	china	PROPN
ajst-12276	45	41	.	.	PUNCT
ajst-12276	46	1	the	the	DET
ajst-12276	46	2	terrain	terrain	NOUN
ajst-12276	46	3	of	of	ADP
ajst-12276	46	4	guizhou	guizhou	NOUN
ajst-12276	46	5	is	be	AUX
ajst-12276	46	6	high	high	ADJ
ajst-12276	46	7	in	in	ADP
ajst-12276	46	8	the	the	DET
ajst-12276	46	9	west	west	NOUN
ajst-12276	46	10	and	and	CCONJ
ajst-12276	46	11	low	low	ADJ
ajst-12276	46	12	in	in	ADP
ajst-12276	46	13	the	the	DET
ajst-12276	46	14	east	east	NOUN
ajst-12276	46	15	,	,	PUNCT
ajst-12276	46	16	tilting	tilt	VERB
ajst-12276	46	17	from	from	ADP
ajst-12276	46	18	the	the	DET
ajst-12276	46	19	middle	middle	NOUN
ajst-12276	46	20	to	to	ADP
ajst-12276	46	21	the	the	DET
ajst-12276	46	22	north	north	NOUN
ajst-12276	46	23	,	,	PUNCT
ajst-12276	46	24	east	east	NOUN
ajst-12276	46	25	,	,	PUNCT
ajst-12276	46	26	and	and	CCONJ
ajst-12276	46	27	south	south	NOUN
ajst-12276	46	28	,	,	PUNCT
ajst-12276	46	29	known	know	VERB
ajst-12276	46	30	as	as	ADP
ajst-12276	46	31	the	the	DET
ajst-12276	46	32	"	"	PUNCT
ajst-12276	46	33	eight	eight	NUM
ajst-12276	46	34	mountains	mountain	NOUN
ajst-12276	46	35	,	,	PUNCT
ajst-12276	46	36	one	one	NUM
ajst-12276	46	37	water	water	NOUN
ajst-12276	46	38	,	,	PUNCT
ajst-12276	46	39	and	and	CCONJ
ajst-12276	46	40	one	one	NUM
ajst-12276	46	41	field	field	NOUN
ajst-12276	46	42	"	"	PUNCT
ajst-12276	46	43	.	.	PUNCT
ajst-12276	47	1	guizhou	guizhou	NOUN
ajst-12276	47	2	has	have	VERB
ajst-12276	47	3	a	a	DET
ajst-12276	47	4	subtropical	subtropical	ADJ
ajst-12276	47	5	monsoon	monsoon	NOUN
ajst-12276	47	6	climate	climate	NOUN
ajst-12276	47	7	,	,	PUNCT
ajst-12276	47	8	covering	cover	VERB
ajst-12276	47	9	an	an	DET
ajst-12276	47	10	area	area	NOUN
ajst-12276	47	11	of	of	ADP
ajst-12276	47	12	176200	176200	NUM
ajst-12276	47	13	square	square	ADJ
ajst-12276	47	14	kilometers	kilometer	NOUN
ajst-12276	47	15	.	.	PUNCT
ajst-12276	48	1	the	the	DET
ajst-12276	48	2	provincial	provincial	ADJ
ajst-12276	48	3	capital	capital	NOUN
ajst-12276	48	4	is	be	AUX
ajst-12276	48	5	guiyang	guiyang	PROPN
ajst-12276	48	6	city	city	PROPN
ajst-12276	48	7	.	.	PUNCT
ajst-12276	49	1	at	at	ADP
ajst-12276	49	2	the	the	DET
ajst-12276	49	3	end	end	NOUN
ajst-12276	49	4	of	of	ADP
ajst-12276	49	5	2022	2022	NUM
ajst-12276	49	6	,	,	PUNCT
ajst-12276	49	7	the	the	DET
ajst-12276	49	8	permanent	permanent	ADJ
ajst-12276	49	9	population	population	NOUN
ajst-12276	49	10	of	of	ADP
ajst-12276	49	11	guizhou	guizhou	PROPN
ajst-12276	49	12	province	province	PROPN
ajst-12276	49	13	was	be	AUX
ajst-12276	49	14	38.56	38.56	NUM
ajst-12276	49	15	million	million	NUM
ajst-12276	49	16	.	.	PUNCT
ajst-12276	50	1	guizhou	guizhou	NOUN
ajst-12276	50	2	province	province	PROPN
ajst-12276	50	3	has	have	VERB
ajst-12276	50	4	a	a	DET
ajst-12276	50	5	total	total	NOUN
ajst-12276	50	6	of	of	ADP
ajst-12276	50	7	50	50	NUM
ajst-12276	50	8	counties	county	NOUN
ajst-12276	50	9	,	,	PUNCT
ajst-12276	50	10	11	11	NUM
ajst-12276	50	11	autonomous	autonomous	ADJ
ajst-12276	50	12	counties	county	NOUN
ajst-12276	50	13	,	,	PUNCT
ajst-12276	50	14	10	10	NUM
ajst-12276	50	15	county	county	NOUN
ajst-12276	50	16	-	-	PUNCT
ajst-12276	50	17	level	level	NOUN
ajst-12276	50	18	cities	city	NOUN
ajst-12276	50	19	,	,	PUNCT
ajst-12276	50	20	16	16	NUM
ajst-12276	50	21	municipal	municipal	ADJ
ajst-12276	50	22	districts	district	NOUN
ajst-12276	50	23	,	,	PUNCT
ajst-12276	50	24	1	1	NUM
ajst-12276	50	25	special	special	ADJ
ajst-12276	50	26	zone	zone	NOUN
ajst-12276	50	27	,	,	PUNCT
ajst-12276	50	28	and	and	CCONJ
ajst-12276	50	29	a	a	DET
ajst-12276	50	30	total	total	NOUN
ajst-12276	50	31	of	of	ADP
ajst-12276	50	32	88	88	NUM
ajst-12276	50	33	countylevel	countylevel	ADJ
ajst-12276	50	34	administrative	administrative	ADJ
ajst-12276	50	35	regions	region	NOUN
ajst-12276	50	36	.	.	PUNCT
ajst-12276	51	1	the	the	DET
ajst-12276	51	2	province	province	NOUN
ajst-12276	51	3	has	have	VERB
ajst-12276	51	4	4	4	NUM
ajst-12276	51	5	prefecture	prefecture	NOUN
ajst-12276	51	6	level	level	NOUN
ajst-12276	51	7	cities	city	NOUN
ajst-12276	51	8	,	,	PUNCT
ajst-12276	51	9	3	3	NUM
ajst-12276	51	10	autonomous	autonomous	ADJ
ajst-12276	51	11	prefectures	prefecture	NOUN
ajst-12276	51	12	,	,	PUNCT
ajst-12276	51	13	2	2	NUM
ajst-12276	51	14	regions	region	NOUN
ajst-12276	51	15	,	,	PUNCT
ajst-12276	51	16	and	and	CCONJ
ajst-12276	51	17	a	a	DET
ajst-12276	51	18	total	total	NOUN
ajst-12276	51	19	of	of	ADP
ajst-12276	51	20	9	9	NUM
ajst-12276	51	21	prefecture	prefecture	NOUN
ajst-12276	51	22	level	level	NOUN
ajst-12276	51	23	administrative	administrative	ADJ
ajst-12276	51	24	regions	region	NOUN
ajst-12276	51	25	.	.	PUNCT
ajst-12276	52	1	in	in	ADP
ajst-12276	52	2	addition	addition	NOUN
ajst-12276	52	3	,	,	PUNCT
ajst-12276	52	4	there	there	PRON
ajst-12276	52	5	are	be	VERB
ajst-12276	52	6	122	122	NUM
ajst-12276	52	7	townships	township	NOUN
ajst-12276	52	8	,	,	PUNCT
ajst-12276	52	9	192	192	NUM
ajst-12276	52	10	ethnic	ethnic	ADJ
ajst-12276	52	11	townships	township	NOUN
ajst-12276	52	12	,	,	PUNCT
ajst-12276	52	13	831	831	NUM
ajst-12276	52	14	towns	town	NOUN
ajst-12276	52	15	,	,	PUNCT
ajst-12276	52	16	and	and	CCONJ
ajst-12276	52	17	364	364	NUM
ajst-12276	52	18	streets	street	NOUN
ajst-12276	52	19	,	,	PUNCT
ajst-12276	52	20	totaling	total	VERB
ajst-12276	52	21	1509	1509	NUM
ajst-12276	52	22	township	township	NOUN
ajst-12276	52	23	level	level	NOUN
ajst-12276	52	24	administrative	administrative	ADJ
ajst-12276	52	25	regions	region	NOUN
ajst-12276	52	26	.	.	PUNCT
ajst-12276	53	1	guizhou	guizhou	NOUN
ajst-12276	53	2	is	be	AUX
ajst-12276	53	3	a	a	DET
ajst-12276	53	4	transportation	transportation	NOUN
ajst-12276	53	5	hub	hub	NOUN
ajst-12276	53	6	in	in	ADP
ajst-12276	53	7	the	the	DET
ajst-12276	53	8	southwest	southwest	NOUN
ajst-12276	53	9	region	region	NOUN
ajst-12276	53	10	and	and	CCONJ
ajst-12276	53	11	an	an	DET
ajst-12276	53	12	important	important	ADJ
ajst-12276	53	13	component	component	NOUN
ajst-12276	53	14	of	of	ADP
ajst-12276	53	15	the	the	DET
ajst-12276	53	16	yangtze	yangtze	PROPN
ajst-12276	53	17	river	river	PROPN
ajst-12276	53	18	economic	economic	ADJ
ajst-12276	53	19	belt	belt	NOUN
ajst-12276	53	20	.	.	PUNCT
ajst-12276	54	1	guizhou	guizhou	NOUN
ajst-12276	54	2	is	be	AUX
ajst-12276	54	3	the	the	DET
ajst-12276	54	4	first	first	ADJ
ajst-12276	54	5	national	national	ADJ
ajst-12276	54	6	level	level	NOUN
ajst-12276	54	7	big	big	ADJ
ajst-12276	54	8	data	datum	NOUN
ajst-12276	54	9	comprehensive	comprehensive	ADJ
ajst-12276	54	10	experimental	experimental	ADJ
ajst-12276	54	11	zone	zone	NOUN
ajst-12276	54	12	in	in	ADP
ajst-12276	54	13	china	china	PROPN
ajst-12276	54	14	,	,	PUNCT
ajst-12276	54	15	a	a	DET
ajst-12276	54	16	world	world	NOUN
ajst-12276	54	17	-	-	PUNCT
ajst-12276	54	18	renowned	renowne	VERB
ajst-12276	54	19	mountain	mountain	NOUN
ajst-12276	54	20	tourism	tourism	NOUN
ajst-12276	54	21	destination	destination	NOUN
ajst-12276	54	22	and	and	CCONJ
ajst-12276	54	23	major	major	ADJ
ajst-12276	54	24	mountain	mountain	NOUN
ajst-12276	54	25	tourism	tourism	NOUN
ajst-12276	54	26	province	province	NOUN
ajst-12276	54	27	,	,	PUNCT
ajst-12276	54	28	as	as	ADV
ajst-12276	54	29	well	well	ADV
ajst-12276	54	30	as	as	ADP
ajst-12276	54	31	a	a	DET
ajst-12276	54	32	national	national	ADJ
ajst-12276	54	33	ecological	ecological	ADJ
ajst-12276	54	34	civilization	civilization	NOUN
ajst-12276	54	35	experimental	experimental	ADJ
ajst-12276	54	36	zone	zone	NOUN
ajst-12276	54	37	and	and	CCONJ
ajst-12276	54	38	an	an	DET
ajst-12276	54	39	inland	inland	ADJ
ajst-12276	54	40	open	open	ADJ
ajst-12276	54	41	economy	economy	NOUN
ajst-12276	54	42	experimental	experimental	ADJ
ajst-12276	54	43	zone	zone	NOUN
ajst-12276	54	44	.	.	PUNCT
ajst-12276	55	1	in	in	ADP
ajst-12276	55	2	addition	addition	NOUN
ajst-12276	55	3	,	,	PUNCT
ajst-12276	55	4	the	the	DET
ajst-12276	55	5	historical	historical	ADJ
ajst-12276	55	6	representative	representative	ADJ
ajst-12276	55	7	culture	culture	NOUN
ajst-12276	55	8	of	of	ADP
ajst-12276	55	9	guizhou	guizhou	PROPN
ajst-12276	55	10	is	be	AUX
ajst-12276	55	11	the	the	DET
ajst-12276	55	12	"	"	PUNCT
ajst-12276	55	13	guizhou	guizhou	NOUN
ajst-12276	55	14	guizhou	guizhou	PROPN
ajst-12276	55	15	culture	culture	PROPN
ajst-12276	55	16	"	"	PUNCT
ajst-12276	55	17	,	,	PUNCT
ajst-12276	55	18	which	which	PRON
ajst-12276	55	19	is	be	AUX
ajst-12276	55	20	also	also	ADV
ajst-12276	55	21	the	the	DET
ajst-12276	55	22	birthplace	birthplace	NOUN
ajst-12276	55	23	of	of	ADP
ajst-12276	55	24	ancient	ancient	ADJ
ajst-12276	55	25	chinese	chinese	ADJ
ajst-12276	55	26	humanity	humanity	NOUN
ajst-12276	55	27	and	and	CCONJ
ajst-12276	55	28	one	one	NUM
ajst-12276	55	29	of	of	ADP
ajst-12276	55	30	the	the	DET
ajst-12276	55	31	birthplaces	birthplace	NOUN
ajst-12276	55	32	of	of	ADP
ajst-12276	55	33	ancient	ancient	ADJ
ajst-12276	55	34	chinese	chinese	ADJ
ajst-12276	55	35	culture	culture	NOUN
ajst-12276	55	36	.	.	PUNCT
ajst-12276	56	1	in	in	ADP
ajst-12276	56	2	2022	2022	NUM
ajst-12276	56	3	,	,	PUNCT
ajst-12276	56	4	the	the	DET
ajst-12276	56	5	regional	regional	ADJ
ajst-12276	56	6	gdp	gdp	NOUN
ajst-12276	56	7	of	of	ADP
ajst-12276	56	8	guizhou	guizhou	PROPN
ajst-12276	56	9	province	province	PROPN
ajst-12276	56	10	was	be	AUX
ajst-12276	56	11	2016.458	2016.458	NUM
ajst-12276	56	12	billion	billion	NUM
ajst-12276	56	13	yuan	yuan	NOUN
ajst-12276	56	14	,	,	PUNCT
ajst-12276	56	15	an	an	DET
ajst-12276	56	16	increase	increase	NOUN
ajst-12276	56	17	of	of	ADP
ajst-12276	56	18	1.2	1.2	NUM
ajst-12276	56	19	%	%	NOUN
ajst-12276	56	20	compared	compare	VERB
ajst-12276	56	21	to	to	ADP
ajst-12276	56	22	the	the	DET
ajst-12276	56	23	same	same	ADJ
ajst-12276	56	24	period	period	NOUN
ajst-12276	56	25	last	last	ADJ
ajst-12276	56	26	year	year	NOUN
ajst-12276	56	27	at	at	ADP
ajst-12276	56	28	constant	constant	ADJ
ajst-12276	56	29	prices	price	NOUN
ajst-12276	56	30	.	.	PUNCT
ajst-12276	57	1	among	among	ADP
ajst-12276	57	2	them	they	PRON
ajst-12276	57	3	,	,	PUNCT
ajst-12276	57	4	the	the	DET
ajst-12276	57	5	added	add	VERB
ajst-12276	57	6	value	value	NOUN
ajst-12276	57	7	of	of	ADP
ajst-12276	57	8	the	the	DET
ajst-12276	57	9	primary	primary	ADJ
ajst-12276	57	10	industry	industry	NOUN
ajst-12276	57	11	was	be	AUX
ajst-12276	57	12	286.118	286.118	NUM
ajst-12276	57	13	billion	billion	NUM
ajst-12276	57	14	yuan	yuan	NOUN
ajst-12276	57	15	,	,	PUNCT
ajst-12276	57	16	an	an	DET
ajst-12276	57	17	increase	increase	NOUN
ajst-12276	57	18	of	of	ADP
ajst-12276	57	19	3.6	3.6	NUM
ajst-12276	57	20	%	%	NOUN
ajst-12276	57	21	;	;	PUNCT
ajst-12276	57	22	the	the	DET
ajst-12276	57	23	added	add	VERB
ajst-12276	57	24	value	value	NOUN
ajst-12276	57	25	of	of	ADP
ajst-12276	57	26	the	the	DET
ajst-12276	57	27	secondary	secondary	ADJ
ajst-12276	57	28	industry	industry	NOUN
ajst-12276	57	29	is	be	AUX
ajst-12276	57	30	705.703	705.703	NUM
ajst-12276	57	31	billion	billion	NUM
ajst-12276	57	32	yuan	yuan	NOUN
ajst-12276	57	33	.	.	PUNCT
ajst-12276	58	1	(	(	PUNCT
ajst-12276	58	2	figure	figure	NOUN
ajst-12276	58	3	1	1	NUM
ajst-12276	58	4	.	.	PUNCT
ajst-12276	58	5	)	)	PUNCT
ajst-12276	58	6	figure	figure	NOUN
ajst-12276	58	7	1	1	NUM
ajst-12276	58	8	.	.	PUNCT
ajst-12276	59	1	guizhou	guizhou	NOUN
ajst-12276	59	2	map	map	PROPN
ajst-12276	59	3	area	area	NOUN
ajst-12276	59	4	l	l	PROPN
ajst-12276	59	5	k	k	X
ajst-12276	59	6	l	l	NOUN
ajst-12276	60	1	ij	ij	INTJ
ajst-12276	60	2	l	l	NOUN
ajst-12276	60	3	k	k	X
ajst-12276	60	4	l	l	X
ajst-12276	60	5	ijk	ijk	PROPN
ajst-12276	60	6	bxwy	bxwy	PROPN
ajst-12276	60	7			PROPN
ajst-12276	60	8	*	*	PUNCT
ajst-12276	60	9	215	215	NUM
ajst-12276	60	10	2.3	2.3	NUM
ajst-12276	60	11	.	.	PUNCT
ajst-12276	61	1	data	datum	NOUN
ajst-12276	61	2	preprocessing	preprocesse	VERB
ajst-12276	61	3	the	the	DET
ajst-12276	61	4	basic	basic	ADJ
ajst-12276	61	5	data	datum	NOUN
ajst-12276	61	6	used	use	VERB
ajst-12276	61	7	in	in	ADP
ajst-12276	61	8	this	this	DET
ajst-12276	61	9	article	article	NOUN
ajst-12276	61	10	mainly	mainly	ADV
ajst-12276	61	11	includes	include	VERB
ajst-12276	61	12	demographic	demographic	ADJ
ajst-12276	61	13	data	datum	NOUN
ajst-12276	61	14	,	,	PUNCT
ajst-12276	61	15	points	point	NOUN
ajst-12276	61	16	of	of	ADP
ajst-12276	61	17	interest	interest	NOUN
ajst-12276	61	18	(	(	PUNCT
ajst-12276	61	19	poi	poi	PROPN
ajst-12276	61	20	)	)	PUNCT
ajst-12276	61	21	,	,	PUNCT
ajst-12276	61	22	administrative	administrative	ADJ
ajst-12276	61	23	division	division	NOUN
ajst-12276	61	24	data	datum	NOUN
ajst-12276	61	25	,	,	PUNCT
ajst-12276	61	26	land	land	NOUN
ajst-12276	61	27	use	use	NOUN
ajst-12276	61	28	data	datum	NOUN
ajst-12276	61	29	,	,	PUNCT
ajst-12276	61	30	dmsp	dmsp	PROPN
ajst-12276	61	31	/	/	SYM
ajst-12276	61	32	ols	ol	NOUN
ajst-12276	61	33	night	night	NOUN
ajst-12276	61	34	light	light	PROPN
ajst-12276	61	35	data	data	PROPN
ajst-12276	61	36	,	,	PUNCT
ajst-12276	61	37	dem	dem	ADJ
ajst-12276	61	38	and	and	CCONJ
ajst-12276	61	39	basic	basic	ADJ
ajst-12276	61	40	geographic	geographic	ADJ
ajst-12276	61	41	information	information	NOUN
ajst-12276	61	42	data	datum	NOUN
ajst-12276	61	43	such	such	ADJ
ajst-12276	61	44	as	as	ADP
ajst-12276	61	45	rivers	river	NOUN
ajst-12276	61	46	and	and	CCONJ
ajst-12276	61	47	slopes	slope	NOUN
ajst-12276	61	48	.	.	PUNCT
ajst-12276	62	1	data	datum	NOUN
ajst-12276	62	2	processing	processing	NOUN
ajst-12276	62	3	mainly	mainly	ADV
ajst-12276	62	4	includes	include	VERB
ajst-12276	62	5	data	datum	NOUN
ajst-12276	62	6	integration	integration	NOUN
ajst-12276	62	7	and	and	CCONJ
ajst-12276	62	8	proofreading	proofreading	NOUN
ajst-12276	62	9	,	,	PUNCT
ajst-12276	62	10	statistical	statistical	ADJ
ajst-12276	62	11	and	and	CCONJ
ajst-12276	62	12	spatial	spatial	ADJ
ajst-12276	62	13	data	datum	NOUN
ajst-12276	62	14	matching	matching	NOUN
ajst-12276	62	15	,	,	PUNCT
ajst-12276	62	16	as	as	ADV
ajst-12276	62	17	well	well	ADV
ajst-12276	62	18	as	as	ADP
ajst-12276	62	19	projection	projection	NOUN
ajst-12276	62	20	transformation	transformation	NOUN
ajst-12276	62	21	and	and	CCONJ
ajst-12276	62	22	resampling	resampling	NOUN
ajst-12276	62	23	.	.	PUNCT
ajst-12276	63	1	the	the	DET
ajst-12276	63	2	population	population	NOUN
ajst-12276	63	3	of	of	ADP
ajst-12276	63	4	each	each	DET
ajst-12276	63	5	prefecture	prefecture	NOUN
ajst-12276	63	6	level	level	NOUN
ajst-12276	63	7	city	city	NOUN
ajst-12276	63	8	is	be	AUX
ajst-12276	63	9	obtained	obtain	VERB
ajst-12276	63	10	by	by	ADP
ajst-12276	63	11	merging	merge	VERB
ajst-12276	63	12	all	all	DET
ajst-12276	63	13	districts	district	NOUN
ajst-12276	63	14	under	under	ADP
ajst-12276	63	15	its	its	PRON
ajst-12276	63	16	jurisdiction	jurisdiction	NOUN
ajst-12276	63	17	.	.	PUNCT
ajst-12276	64	1	all	all	DET
ajst-12276	64	2	raster	raster	PROPN
ajst-12276	64	3	data	datum	NOUN
ajst-12276	64	4	are	be	AUX
ajst-12276	64	5	cropped	crop	VERB
ajst-12276	64	6	to	to	ADP
ajst-12276	64	7	anhui	anhui	PROPN
ajst-12276	64	8	province	province	PROPN
ajst-12276	64	9	and	and	CCONJ
ajst-12276	64	10	sampled	sample	VERB
ajst-12276	64	11	to	to	ADP
ajst-12276	64	12	1	1	NUM
ajst-12276	64	13	km	km	NOUN
ajst-12276	64	14	using	use	VERB
ajst-12276	64	15	the	the	DET
ajst-12276	64	16	nearest	near	ADJ
ajst-12276	64	17	neighbor	neighbor	NOUN
ajst-12276	64	18	resampling	resample	VERB
ajst-12276	64	19	method	method	NOUN
ajst-12276	64	20	×	×	PROPN
ajst-12276	64	21	1	1	NUM
ajst-12276	64	22	km	km	NOUN
ajst-12276	64	23	resolution	resolution	NOUN
ajst-12276	64	24	data	datum	NOUN
ajst-12276	64	25	.	.	PUNCT
ajst-12276	65	1	this	this	DET
ajst-12276	65	2	article	article	NOUN
ajst-12276	65	3	also	also	ADV
ajst-12276	65	4	divides	divide	VERB
ajst-12276	65	5	and	and	CCONJ
ajst-12276	65	6	processes	process	VERB
ajst-12276	65	7	the	the	DET
ajst-12276	65	8	differences	difference	NOUN
ajst-12276	65	9	within	within	ADP
ajst-12276	65	10	urban	urban	ADJ
ajst-12276	65	11	residential	residential	ADJ
ajst-12276	65	12	areas	area	NOUN
ajst-12276	65	13	based	base	VERB
ajst-12276	65	14	on	on	ADP
ajst-12276	65	15	nighttime	nighttime	ADJ
ajst-12276	65	16	lighting	lighting	NOUN
ajst-12276	65	17	data	datum	NOUN
ajst-12276	65	18	.	.	PUNCT
ajst-12276	66	1	the	the	DET
ajst-12276	66	2	light	light	ADJ
ajst-12276	66	3	intensity	intensity	NOUN
ajst-12276	66	4	values	value	NOUN
ajst-12276	66	5	of	of	ADP
ajst-12276	66	6	dmsp	dmsp	ADJ
ajst-12276	66	7	/	/	SYM
ajst-12276	66	8	ols	ol	NOUN
ajst-12276	66	9	nighttime	nighttime	ADJ
ajst-12276	66	10	light	light	ADJ
ajst-12276	66	11	data	datum	NOUN
ajst-12276	66	12	have	have	VERB
ajst-12276	66	13	an	an	DET
ajst-12276	66	14	indicative	indicative	ADJ
ajst-12276	66	15	effect	effect	NOUN
ajst-12276	66	16	on	on	ADP
ajst-12276	66	17	the	the	DET
ajst-12276	66	18	spatial	spatial	ADJ
ajst-12276	66	19	distribution	distribution	NOUN
ajst-12276	66	20	of	of	ADP
ajst-12276	66	21	population	population	NOUN
ajst-12276	66	22	,	,	PUNCT
ajst-12276	66	23	and	and	CCONJ
ajst-12276	66	24	can	can	AUX
ajst-12276	66	25	be	be	AUX
ajst-12276	66	26	used	use	VERB
ajst-12276	66	27	as	as	ADP
ajst-12276	66	28	a	a	DET
ajst-12276	66	29	classification	classification	NOUN
ajst-12276	66	30	standard	standard	NOUN
ajst-12276	66	31	to	to	PART
ajst-12276	66	32	reclassify	reclassify	VERB
ajst-12276	66	33	urban	urban	ADJ
ajst-12276	66	34	residential	residential	ADJ
ajst-12276	66	35	areas	area	NOUN
ajst-12276	66	36	.	.	PUNCT
ajst-12276	67	1	the	the	DET
ajst-12276	67	2	reclassified	reclassify	VERB
ajst-12276	67	3	data	data	NOUN
ajst-12276	67	4	is	be	AUX
ajst-12276	67	5	then	then	ADV
ajst-12276	67	6	used	use	VERB
ajst-12276	67	7	for	for	ADP
ajst-12276	67	8	spatialization	spatialization	NOUN
ajst-12276	67	9	of	of	ADP
ajst-12276	67	10	population	population	NOUN
ajst-12276	67	11	data	datum	NOUN
ajst-12276	67	12	based	base	VERB
ajst-12276	67	13	on	on	ADP
ajst-12276	67	14	land	land	NOUN
ajst-12276	67	15	use	use	NOUN
ajst-12276	67	16	,	,	PUNCT
ajst-12276	67	17	and	and	CCONJ
ajst-12276	67	18	the	the	DET
ajst-12276	67	19	accuracy	accuracy	NOUN
ajst-12276	67	20	of	of	ADP
ajst-12276	67	21	the	the	DET
ajst-12276	67	22	results	result	NOUN
ajst-12276	67	23	is	be	AUX
ajst-12276	67	24	significantly	significantly	ADV
ajst-12276	67	25	improved	improve	VERB
ajst-12276	67	26	.	.	PUNCT
ajst-12276	68	1	the	the	DET
ajst-12276	68	2	second	second	ADJ
ajst-12276	68	3	classification	classification	NOUN
ajst-12276	68	4	of	of	ADP
ajst-12276	68	5	urban	urban	ADJ
ajst-12276	68	6	land	land	NOUN
ajst-12276	68	7	with	with	ADP
ajst-12276	68	8	high	high	ADJ
ajst-12276	68	9	population	population	NOUN
ajst-12276	68	10	density	density	NOUN
ajst-12276	68	11	.	.	PUNCT
ajst-12276	69	1	considering	consider	VERB
ajst-12276	69	2	the	the	DET
ajst-12276	69	3	different	different	ADJ
ajst-12276	69	4	levels	level	NOUN
ajst-12276	69	5	of	of	ADP
ajst-12276	69	6	ecological	ecological	ADJ
ajst-12276	69	7	environment	environment	NOUN
ajst-12276	69	8	and	and	CCONJ
ajst-12276	69	9	economic	economic	ADJ
ajst-12276	69	10	development	development	NOUN
ajst-12276	69	11	in	in	ADP
ajst-12276	69	12	different	different	ADJ
ajst-12276	69	13	regions	region	NOUN
ajst-12276	69	14	,	,	PUNCT
ajst-12276	69	15	as	as	ADV
ajst-12276	69	16	well	well	ADV
ajst-12276	69	17	as	as	ADP
ajst-12276	69	18	significant	significant	ADJ
ajst-12276	69	19	differences	difference	NOUN
ajst-12276	69	20	in	in	ADP
ajst-12276	69	21	population	population	NOUN
ajst-12276	69	22	distribution	distribution	NOUN
ajst-12276	69	23	,	,	PUNCT
ajst-12276	69	24	using	use	VERB
ajst-12276	69	25	the	the	DET
ajst-12276	69	26	same	same	ADJ
ajst-12276	69	27	spatialized	spatialize	VERB
ajst-12276	69	28	model	model	NOUN
ajst-12276	69	29	for	for	ADP
ajst-12276	69	30	population	population	NOUN
ajst-12276	69	31	spatial	spatial	ADJ
ajst-12276	69	32	modeling	modeling	NOUN
ajst-12276	69	33	may	may	AUX
ajst-12276	69	34	have	have	VERB
ajst-12276	69	35	limited	limit	VERB
ajst-12276	69	36	accuracy	accuracy	NOUN
ajst-12276	69	37	.	.	PUNCT
ajst-12276	70	1	therefore	therefore	ADV
ajst-12276	70	2	,	,	PUNCT
ajst-12276	70	3	this	this	DET
ajst-12276	70	4	article	article	NOUN
ajst-12276	70	5	conducts	conduct	VERB
ajst-12276	70	6	a	a	DET
ajst-12276	70	7	regional	regional	ADJ
ajst-12276	70	8	population	population	NOUN
ajst-12276	70	9	characteristic	characteristic	ADJ
ajst-12276	70	10	consistency	consistency	NOUN
ajst-12276	70	11	zoning	zoning	NOUN
ajst-12276	70	12	in	in	ADP
ajst-12276	70	13	advance	advance	NOUN
ajst-12276	70	14	before	before	ADP
ajst-12276	70	15	population	population	NOUN
ajst-12276	70	16	spatial	spatial	ADJ
ajst-12276	70	17	modeling	modeling	NOUN
ajst-12276	70	18	.	.	PUNCT
ajst-12276	71	1	3	3	X
ajst-12276	71	2	.	.	X
ajst-12276	71	3	experimentation	experimentation	NOUN
ajst-12276	71	4	convolutional	convolutional	ADJ
ajst-12276	71	5	neural	neural	ADJ
ajst-12276	71	6	networks	network	NOUN
ajst-12276	71	7	(	(	PUNCT
ajst-12276	71	8	cnn	cnn	PROPN
ajst-12276	71	9	)	)	PUNCT
ajst-12276	71	10	can	can	AUX
ajst-12276	71	11	be	be	AUX
ajst-12276	71	12	used	use	VERB
ajst-12276	71	13	for	for	ADP
ajst-12276	71	14	both	both	PRON
ajst-12276	71	15	classification	classification	NOUN
ajst-12276	71	16	algorithms	algorithm	NOUN
ajst-12276	71	17	and	and	CCONJ
ajst-12276	71	18	regression	regression	NOUN
ajst-12276	71	19	algorithms	algorithm	NOUN
ajst-12276	71	20	.	.	PUNCT
ajst-12276	72	1	one	one	NUM
ajst-12276	72	2	of	of	ADP
ajst-12276	72	3	its	its	PRON
ajst-12276	72	4	advantages	advantage	NOUN
ajst-12276	72	5	is	be	AUX
ajst-12276	72	6	that	that	SCONJ
ajst-12276	72	7	the	the	DET
ajst-12276	72	8	upper	upper	ADJ
ajst-12276	72	9	and	and	CCONJ
ajst-12276	72	10	lower	low	ADJ
ajst-12276	72	11	layers	layer	NOUN
ajst-12276	72	12	of	of	ADP
ajst-12276	72	13	the	the	DET
ajst-12276	72	14	network	network	NOUN
ajst-12276	72	15	share	share	NOUN
ajst-12276	72	16	weight	weight	NOUN
ajst-12276	72	17	parameters	parameter	NOUN
ajst-12276	72	18	,	,	PUNCT
ajst-12276	72	19	thereby	thereby	ADV
ajst-12276	72	20	accelerating	accelerate	VERB
ajst-12276	72	21	the	the	DET
ajst-12276	72	22	computational	computational	ADJ
ajst-12276	72	23	efficiency	efficiency	NOUN
ajst-12276	72	24	of	of	ADP
ajst-12276	72	25	the	the	DET
ajst-12276	72	26	model	model	NOUN
ajst-12276	72	27	.	.	PUNCT
ajst-12276	73	1	on	on	ADP
ajst-12276	73	2	this	this	DET
ajst-12276	73	3	basis	basis	NOUN
ajst-12276	73	4	,	,	PUNCT
ajst-12276	73	5	we	we	PRON
ajst-12276	73	6	believe	believe	VERB
ajst-12276	73	7	that	that	SCONJ
ajst-12276	73	8	convolutional	convolutional	ADJ
ajst-12276	73	9	neural	neural	ADJ
ajst-12276	73	10	networks	network	NOUN
ajst-12276	73	11	(	(	PUNCT
ajst-12276	73	12	cnn	cnn	PROPN
ajst-12276	73	13	)	)	PUNCT
ajst-12276	73	14	can	can	AUX
ajst-12276	73	15	provide	provide	VERB
ajst-12276	73	16	a	a	DET
ajst-12276	73	17	more	more	ADV
ajst-12276	73	18	effective	effective	ADJ
ajst-12276	73	19	method	method	NOUN
ajst-12276	73	20	for	for	ADP
ajst-12276	73	21	simulating	simulate	VERB
ajst-12276	73	22	population	population	NOUN
ajst-12276	73	23	siz[5].e	siz[5].e	NOUN
ajst-12276	73	24	.	.	PUNCT
ajst-12276	74	1	this	this	DET
ajst-12276	74	2	article	article	NOUN
ajst-12276	74	3	uses	use	VERB
ajst-12276	74	4	the	the	DET
ajst-12276	74	5	convolutional	convolutional	ADJ
ajst-12276	74	6	network	network	NOUN
ajst-12276	74	7	idea	idea	NOUN
ajst-12276	74	8	to	to	ADP
ajst-12276	74	9	regress	regress	NOUN
ajst-12276	74	10	and	and	CCONJ
ajst-12276	74	11	fit	fit	VERB
ajst-12276	74	12	the	the	DET
ajst-12276	74	13	population	population	NOUN
ajst-12276	74	14	and	and	CCONJ
ajst-12276	74	15	population	population	NOUN
ajst-12276	74	16	factors	factor	NOUN
ajst-12276	74	17	of	of	ADP
ajst-12276	74	18	statistical	statistical	ADJ
ajst-12276	74	19	data	datum	NOUN
ajst-12276	74	20	.	.	PUNCT
ajst-12276	75	1	the	the	DET
ajst-12276	75	2	specific	specific	ADJ
ajst-12276	75	3	process	process	NOUN
ajst-12276	75	4	is	be	AUX
ajst-12276	75	5	shown	show	VERB
ajst-12276	75	6	in	in	ADP
ajst-12276	75	7	the	the	DET
ajst-12276	75	8	figure	figure	NOUN
ajst-12276	75	9	2	2	NUM
ajst-12276	75	10	.	.	PUNCT
ajst-12276	75	11	figure	figure	NOUN
ajst-12276	75	12	2	2	NUM
ajst-12276	75	13	.	.	PUNCT
ajst-12276	75	14	population	population	NOUN
ajst-12276	75	15	spatialization	spatialization	NOUN
ajst-12276	75	16	process	process	NOUN
ajst-12276	75	17	based	base	VERB
ajst-12276	75	18	on	on	ADP
ajst-12276	75	19	convolutional	convolutional	ADJ
ajst-12276	75	20	neural	neural	ADJ
ajst-12276	75	21	networks	network	NOUN
ajst-12276	75	22	it	it	PRON
ajst-12276	75	23	is	be	AUX
ajst-12276	75	24	divided	divide	VERB
ajst-12276	75	25	into	into	ADP
ajst-12276	75	26	three	three	NUM
ajst-12276	75	27	steps	step	NOUN
ajst-12276	75	28	:	:	PUNCT
ajst-12276	75	29	(	(	PUNCT
ajst-12276	75	30	1	1	X
ajst-12276	75	31	)	)	PUNCT
ajst-12276	75	32	in	in	ADP
ajst-12276	75	33	the	the	DET
ajst-12276	75	34	data	data	NOUN
ajst-12276	75	35	preprocessing	preprocessing	NOUN
ajst-12276	75	36	stage	stage	NOUN
ajst-12276	75	37	,	,	PUNCT
ajst-12276	75	38	the	the	DET
ajst-12276	75	39	nighttime	nighttime	ADJ
ajst-12276	75	40	lighting	lighting	NOUN
ajst-12276	75	41	data	datum	NOUN
ajst-12276	75	42	,	,	PUNCT
ajst-12276	75	43	social	social	ADJ
ajst-12276	75	44	media	medium	NOUN
ajst-12276	75	45	data	datum	NOUN
ajst-12276	75	46	,	,	PUNCT
ajst-12276	75	47	terrain	terrain	NOUN
ajst-12276	75	48	data	datum	NOUN
ajst-12276	75	49	,	,	PUNCT
ajst-12276	75	50	and	and	CCONJ
ajst-12276	75	51	land	land	NOUN
ajst-12276	75	52	cover	cover	NOUN
ajst-12276	75	53	data	datum	NOUN
ajst-12276	75	54	are	be	AUX
ajst-12276	75	55	preprocessed	preprocesse	VERB
ajst-12276	75	56	to	to	PART
ajst-12276	75	57	extract	extract	VERB
ajst-12276	75	58	1	1	NUM
ajst-12276	75	59	km	km	NOUN
ajst-12276	75	60	of	of	ADP
ajst-12276	75	61	corresponding	correspond	VERB
ajst-12276	75	62	population	population	NOUN
ajst-12276	75	63	distribution	distribution	NOUN
ajst-12276	75	64	influencing	influence	VERB
ajst-12276	75	65	factors	factor	NOUN
ajst-12276	75	66	×	×	NOUN
ajst-12276	75	67	1	1	NUM
ajst-12276	75	68	km	km	NOUN
ajst-12276	75	69	grid	grid	NOUN
ajst-12276	75	70	value	value	NOUN
ajst-12276	75	71	and	and	CCONJ
ajst-12276	75	72	average	average	ADJ
ajst-12276	75	73	population	population	NOUN
ajst-12276	75	74	at	at	ADP
ajst-12276	75	75	township	township	NOUN
ajst-12276	75	76	level	level	NOUN
ajst-12276	75	77	.	.	PUNCT
ajst-12276	76	1	this	this	DET
ajst-12276	76	2	article	article	NOUN
ajst-12276	76	3	takes	take	VERB
ajst-12276	76	4	the	the	DET
ajst-12276	76	5	average	average	ADJ
ajst-12276	76	6	value	value	NOUN
ajst-12276	76	7	of	of	ADP
ajst-12276	76	8	9	9	NUM
ajst-12276	76	9	indicators	indicator	NOUN
ajst-12276	76	10	at	at	ADP
ajst-12276	76	11	the	the	DET
ajst-12276	76	12	township	township	NOUN
ajst-12276	76	13	level	level	NOUN
ajst-12276	76	14	as	as	ADP
ajst-12276	76	15	the	the	DET
ajst-12276	76	16	independent	independent	ADJ
ajst-12276	76	17	variable	variable	NOUN
ajst-12276	76	18	and	and	CCONJ
ajst-12276	76	19	the	the	DET
ajst-12276	76	20	population	population	NOUN
ajst-12276	76	21	density	density	NOUN
ajst-12276	76	22	at	at	ADP
ajst-12276	76	23	the	the	DET
ajst-12276	76	24	township	township	NOUN
ajst-12276	76	25	level	level	NOUN
ajst-12276	76	26	as	as	ADP
ajst-12276	76	27	the	the	DET
ajst-12276	76	28	dependent	dependent	ADJ
ajst-12276	76	29	variable	variable	NOUN
ajst-12276	76	30	,	,	PUNCT
ajst-12276	76	31	and	and	CCONJ
ajst-12276	76	32	constructs	construct	VERB
ajst-12276	76	33	a	a	DET
ajst-12276	76	34	matrix	matrix	NOUN
ajst-12276	76	35	size	size	NOUN
ajst-12276	76	36	of	of	ADP
ajst-12276	76	37	88	88	NUM
ajst-12276	76	38	×	×	NOUN
ajst-12276	76	39	construct	construct	VERB
ajst-12276	76	40	a	a	DET
ajst-12276	76	41	population	population	NOUN
ajst-12276	76	42	spatialization	spatialization	NOUN
ajst-12276	76	43	model	model	NOUN
ajst-12276	76	44	based	base	VERB
ajst-12276	76	45	on	on	ADP
ajst-12276	76	46	convolutional	convolutional	ADJ
ajst-12276	76	47	neural	neural	ADJ
ajst-12276	76	48	networks	network	NOUN
ajst-12276	76	49	using	use	VERB
ajst-12276	76	50	a	a	DET
ajst-12276	76	51	dataset	dataset	NOUN
ajst-12276	76	52	of	of	ADP
ajst-12276	76	53	9	9	NUM
ajst-12276	76	54	.	.	PUNCT
ajst-12276	76	55	data	datum	NOUN
ajst-12276	76	56	preprocessing	preprocesse	VERB
ajst-12276	76	57	calculation	calculation	NOUN
ajst-12276	76	58	requires	require	VERB
ajst-12276	76	59	normalizing	normalize	VERB
ajst-12276	76	60	each	each	DET
ajst-12276	76	61	population	population	NOUN
ajst-12276	76	62	impact	impact	NOUN
ajst-12276	76	63	factor	factor	NOUN
ajst-12276	76	64	,	,	PUNCT
ajst-12276	76	65	that	that	ADV
ajst-12276	76	66	is	is	ADV
ajst-12276	76	67	,	,	PUNCT
ajst-12276	76	68	changing	change	VERB
ajst-12276	76	69	the	the	DET
ajst-12276	76	70	data	datum	NOUN
ajst-12276	76	71	of	of	ADP
ajst-12276	76	72	each	each	DET
ajst-12276	76	73	population	population	NOUN
ajst-12276	76	74	impact	impact	NOUN
ajst-12276	76	75	factor	factor	NOUN
ajst-12276	76	76	from	from	ADP
ajst-12276	76	77	a	a	DET
ajst-12276	76	78	positive	positive	ADJ
ajst-12276	76	79	integer	integer	NOUN
ajst-12276	76	80	to	to	ADP
ajst-12276	76	81	a	a	DET
ajst-12276	76	82	value	value	NOUN
ajst-12276	76	83	of	of	ADP
ajst-12276	76	84	0	0	NUM
ajst-12276	76	85	-	-	SYM
ajst-12276	76	86	1	1	NUM
ajst-12276	76	87	.	.	PUNCT
ajst-12276	77	1	finally	finally	ADV
ajst-12276	77	2	,	,	PUNCT
ajst-12276	77	3	the	the	DET
ajst-12276	77	4	training	training	NOUN
ajst-12276	77	5	set	set	NOUN
ajst-12276	77	6	and	and	CCONJ
ajst-12276	77	7	validation	validation	NOUN
ajst-12276	77	8	set	set	NOUN
ajst-12276	77	9	are	be	AUX
ajst-12276	77	10	divided	divide	VERB
ajst-12276	77	11	into	into	ADP
ajst-12276	77	12	input	input	NOUN
ajst-12276	77	13	models	model	NOUN
ajst-12276	77	14	in	in	ADP
ajst-12276	77	15	a	a	DET
ajst-12276	77	16	7:3	7:3	NUM
ajst-12276	77	17	ratio	ratio	NOUN
ajst-12276	77	18	.	.	PUNCT
ajst-12276	78	1	(	(	PUNCT
ajst-12276	78	2	2	2	X
ajst-12276	78	3	)	)	PUNCT
ajst-12276	78	4	parameter	parameter	NOUN
ajst-12276	78	5	setting	setting	NOUN
ajst-12276	78	6	and	and	CCONJ
ajst-12276	78	7	model	model	NOUN
ajst-12276	78	8	training	training	NOUN
ajst-12276	78	9	building	build	VERB
ajst-12276	78	10	a	a	DET
ajst-12276	78	11	convolutional	convolutional	ADJ
ajst-12276	78	12	neural	neural	ADJ
ajst-12276	78	13	network	network	NOUN
ajst-12276	78	14	(	(	PUNCT
ajst-12276	78	15	cnn	cnn	PROPN
ajst-12276	78	16	)	)	PUNCT
ajst-12276	78	17	model	model	NOUN
ajst-12276	78	18	by	by	ADP
ajst-12276	78	19	calling	call	VERB
ajst-12276	78	20	tensorflow	tensorflow	ADJ
ajst-12276	78	21	library	library	NOUN
ajst-12276	78	22	on	on	ADP
ajst-12276	78	23	the	the	DET
ajst-12276	78	24	python	python	NOUN
ajst-12276	78	25	language	language	NOUN
ajst-12276	78	26	platform	platform	NOUN
ajst-12276	78	27	.	.	PUNCT
ajst-12276	79	1	construct	construct	VERB
ajst-12276	79	2	convolutional	convolutional	ADJ
ajst-12276	79	3	layer	layer	NOUN
ajst-12276	79	4	,	,	PUNCT
ajst-12276	79	5	pooling	pool	VERB
ajst-12276	79	6	laye[6].r	laye[6].r	NOUN
ajst-12276	79	7	,	,	PUNCT
ajst-12276	79	8	and	and	CCONJ
ajst-12276	79	9	fully	fully	ADV
ajst-12276	79	10	connected	connect	VERB
ajst-12276	79	11	layer	layer	NOUN
ajst-12276	79	12	by	by	ADP
ajst-12276	79	13	setting	set	VERB
ajst-12276	79	14	reasonable	reasonable	ADJ
ajst-12276	79	15	parameters	parameter	NOUN
ajst-12276	79	16	in	in	ADP
ajst-12276	79	17	modules	module	NOUN
ajst-12276	79	18	.	.	PUNCT
ajst-12276	80	1	in	in	ADP
ajst-12276	80	2	order	order	NOUN
ajst-12276	80	3	to	to	PART
ajst-12276	80	4	construct	construct	VERB
ajst-12276	80	5	the	the	DET
ajst-12276	80	6	matrix	matrix	NOUN
ajst-12276	80	7	reasonably	reasonably	ADV
ajst-12276	80	8	,	,	PUNCT
ajst-12276	80	9	the	the	DET
ajst-12276	80	10	influence	influence	NOUN
ajst-12276	80	11	factors	factor	NOUN
ajst-12276	80	12	of	of	ADP
ajst-12276	80	13	the	the	DET
ajst-12276	80	14	original	original	ADJ
ajst-12276	80	15	data	datum	NOUN
ajst-12276	80	16	were	be	AUX
ajst-12276	80	17	increased	increase	VERB
ajst-12276	80	18	to	to	ADP
ajst-12276	80	19	16	16	NUM
ajst-12276	80	20	columns	column	NOUN
ajst-12276	80	21	and	and	CCONJ
ajst-12276	80	22	cut	cut	VERB
ajst-12276	80	23	into	into	ADP
ajst-12276	80	24	4	4	NUM
ajst-12276	80	25	×	×	NOUN
ajst-12276	80	26	4	4	NUM
ajst-12276	80	27	matrix	matrix	NOUN
ajst-12276	80	28	,	,	PUNCT
ajst-12276	80	29	then	then	ADV
ajst-12276	80	30	the	the	DET
ajst-12276	80	31	input	input	NOUN
ajst-12276	80	32	size	size	NOUN
ajst-12276	80	33	is	be	AUX
ajst-12276	80	34	4	4	NUM
ajst-12276	80	35	×	×	NOUN
ajst-12276	80	36	matrix	matrix	NOUN
ajst-12276	80	37	of	of	ADP
ajst-12276	80	38	4	4	NUM
ajst-12276	80	39	.	.	PUNCT
ajst-12276	81	1	the	the	DET
ajst-12276	81	2	first	first	ADJ
ajst-12276	81	3	layer	layer	NOUN
ajst-12276	81	4	convolutional	convolutional	ADJ
ajst-12276	81	5	network	network	NOUN
ajst-12276	81	6	adopts	adopt	VERB
ajst-12276	81	7	a	a	DET
ajst-12276	81	8	matrix	matrix	NOUN
ajst-12276	81	9	size	size	NOUN
ajst-12276	81	10	of	of	ADP
ajst-12276	81	11	2	2	NUM
ajst-12276	81	12	×	×	NOUN
ajst-12276	81	13	2	2	NUM
ajst-12276	81	14	neurons	neuron	NOUN
ajst-12276	81	15	with	with	ADP
ajst-12276	81	16	32	32	NUM
ajst-12276	81	17	convolutional	convolutional	ADJ
ajst-12276	81	18	kernels	kernel	NOUN
ajst-12276	81	19	,	,	PUNCT
ajst-12276	81	20	input	input	NOUN
ajst-12276	81	21	to	to	ADP
ajst-12276	81	22	the	the	DET
ajst-12276	81	23	activation	activation	NOUN
ajst-12276	81	24	function	function	VERB
ajst-12276	81	25	relu	relu	NOUN
ajst-12276	81	26	after	after	ADP
ajst-12276	81	27	passing	pass	VERB
ajst-12276	81	28	through	through	ADP
ajst-12276	81	29	the	the	DET
ajst-12276	81	30	convolutional	convolutional	ADJ
ajst-12276	81	31	layer	layer	NOUN
ajst-12276	81	32	,	,	PUNCT
ajst-12276	81	33	and	and	CCONJ
ajst-12276	81	34	the	the	DET
ajst-12276	81	35	pooling	pooling	NOUN
ajst-12276	81	36	layer	layer	NOUN
ajst-12276	81	37	is	be	AUX
ajst-12276	81	38	2	2	NUM
ajst-12276	81	39	×	×	NOUN
ajst-12276	81	40	2	2	NUM
ajst-12276	81	41	matrices	matrix	NOUN
ajst-12276	81	42	,	,	PUNCT
ajst-12276	81	43	with	with	ADP
ajst-12276	81	44	a	a	DET
ajst-12276	81	45	quantity	quantity	NOUN
ajst-12276	81	46	of	of	ADP
ajst-12276	81	47	32	32	NUM
ajst-12276	81	48	.	.	PUNCT
ajst-12276	82	1	the	the	DET
ajst-12276	82	2	second	second	ADJ
ajst-12276	82	3	layer	layer	NOUN
ajst-12276	82	4	convolutional	convolutional	ADJ
ajst-12276	82	5	network	network	NOUN
ajst-12276	82	6	adopts	adopt	VERB
ajst-12276	82	7	2	2	NUM
ajst-12276	82	8	×	×	NOUN
ajst-12276	82	9	2	2	NUM
ajst-12276	82	10	neurons	neuron	NOUN
ajst-12276	82	11	,	,	PUNCT
ajst-12276	82	12	64	64	NUM
ajst-12276	82	13	convolutional	convolutional	ADJ
ajst-12276	82	14	kernels	kernel	NOUN
ajst-12276	82	15	,	,	PUNCT
ajst-12276	82	16	set	set	VERB
ajst-12276	82	17	relu	relu	NOUN
ajst-12276	82	18	as	as	ADP
ajst-12276	82	19	the	the	DET
ajst-12276	82	20	activation	activation	NOUN
ajst-12276	82	21	function	function	NOUN
ajst-12276	82	22	,	,	PUNCT
ajst-12276	82	23	and	and	CCONJ
ajst-12276	82	24	the	the	DET
ajst-12276	82	25	pooling	pooling	NOUN
ajst-12276	82	26	layer	layer	NOUN
ajst-12276	82	27	is	be	AUX
ajst-12276	82	28	also	also	ADV
ajst-12276	82	29	2	2	NUM
ajst-12276	82	30	×	×	NOUN
ajst-12276	82	31	2	2	NUM
ajst-12276	82	32	matrices	matrix	NOUN
ajst-12276	82	33	,	,	PUNCT
ajst-12276	82	34	with	with	ADP
ajst-12276	82	35	a	a	DET
ajst-12276	82	36	quantity	quantity	NOUN
ajst-12276	82	37	of	of	ADP
ajst-12276	82	38	64	64	NUM
ajst-12276	82	39	.	.	PUNCT
ajst-12276	83	1	the	the	DET
ajst-12276	83	2	final	final	ADJ
ajst-12276	83	3	number	number	NOUN
ajst-12276	83	4	of	of	ADP
ajst-12276	83	5	hidden	hide	VERB
ajst-12276	83	6	nodes	node	NOUN
ajst-12276	83	7	in	in	ADP
ajst-12276	83	8	the	the	DET
ajst-12276	83	9	fully	fully	ADV
ajst-12276	83	10	connected	connect	VERB
ajst-12276	83	11	layer	layer	NOUN
ajst-12276	83	12	is	be	AUX
ajst-12276	83	13	512	512	NUM
ajst-12276	83	14	.	.	PUNCT
ajst-12276	84	1	using	use	VERB
ajst-12276	84	2	the	the	DET
ajst-12276	84	3	adam	adam	PROPN
ajst-12276	84	4	optimizer	optimizer	NOUN
ajst-12276	84	5	to	to	PART
ajst-12276	84	6	adjust	adjust	VERB
ajst-12276	84	7	and	and	CCONJ
ajst-12276	84	8	optimize	optimize	VERB
ajst-12276	84	9	the	the	DET
ajst-12276	84	10	model	model	NOUN
ajst-12276	84	11	,	,	PUNCT
ajst-12276	84	12	the	the	DET
ajst-12276	84	13	learning	learning	NOUN
ajst-12276	84	14	efficiency	efficiency	NOUN
ajst-12276	84	15	is	be	AUX
ajst-12276	84	16	set	set	VERB
ajst-12276	84	17	to	to	ADP
ajst-12276	84	18	0.01	0.01	NUM
ajst-12276	84	19	to	to	PART
ajst-12276	84	20	approach	approach	VERB
ajst-12276	84	21	the	the	DET
ajst-12276	84	22	lowest	low	ADJ
ajst-12276	84	23	point	point	NOUN
ajst-12276	84	24	of	of	ADP
ajst-12276	84	25	the	the	DET
ajst-12276	84	26	loss	loss	NOUN
ajst-12276	84	27	function	function	NOUN
ajst-12276	84	28	.	.	PUNCT
ajst-12276	85	1	when	when	SCONJ
ajst-12276	85	2	the	the	DET
ajst-12276	85	3	training	training	NOUN
ajst-12276	85	4	frequency	frequency	NOUN
ajst-12276	85	5	is	be	AUX
ajst-12276	85	6	set	set	VERB
ajst-12276	85	7	to	to	ADP
ajst-12276	85	8	5000	5000	NUM
ajst-12276	85	9	times	time	NOUN
ajst-12276	85	10	,	,	PUNCT
ajst-12276	85	11	the	the	DET
ajst-12276	85	12	model	model	NOUN
ajst-12276	85	13	is	be	AUX
ajst-12276	85	14	optimal.(figure	optimal.(figure	NOUN
ajst-12276	85	15	3	3	NUM
ajst-12276	85	16	.	.	PUNCT
ajst-12276	85	17	)	)	PUNCT
ajst-12276	86	1	216	216	NUM
ajst-12276	86	2	figure	figure	NOUN
ajst-12276	86	3	3	3	NUM
ajst-12276	86	4	.	.	PUNCT
ajst-12276	86	5	convolutional	convolutional	ADJ
ajst-12276	86	6	neural	neural	ADJ
ajst-12276	86	7	network	network	NOUN
ajst-12276	86	8	structure	structure	NOUN
ajst-12276	86	9	diagram	diagram	NOUN
ajst-12276	86	10	after	after	ADP
ajst-12276	86	11	extensive	extensive	ADJ
ajst-12276	86	12	computer	computer	NOUN
ajst-12276	86	13	operation	operation	NOUN
ajst-12276	86	14	,	,	PUNCT
ajst-12276	86	15	the	the	DET
ajst-12276	86	16	accuracy	accuracy	NOUN
ajst-12276	86	17	of	of	ADP
ajst-12276	86	18	this	this	DET
ajst-12276	86	19	model	model	NOUN
ajst-12276	86	20	is	be	AUX
ajst-12276	86	21	95	95	NUM
ajst-12276	86	22	%	%	NOUN
ajst-12276	86	23	.	.	PUNCT
ajst-12276	87	1	then	then	ADV
ajst-12276	87	2	apply	apply	VERB
ajst-12276	87	3	the	the	DET
ajst-12276	87	4	trained	train	VERB
ajst-12276	87	5	model	model	NOUN
ajst-12276	87	6	to	to	PART
ajst-12276	87	7	grid	grid	VERB
ajst-12276	87	8	population	population	NOUN
ajst-12276	87	9	simulation	simulation	NOUN
ajst-12276	87	10	,	,	PUNCT
ajst-12276	87	11	input	input	VERB
ajst-12276	87	12	the	the	DET
ajst-12276	87	13	grid	grid	NOUN
ajst-12276	87	14	values	value	NOUN
ajst-12276	87	15	of	of	ADP
ajst-12276	87	16	each	each	DET
ajst-12276	87	17	distribution	distribution	NOUN
ajst-12276	87	18	influence	influence	NOUN
ajst-12276	87	19	factor	factor	NOUN
ajst-12276	87	20	,	,	PUNCT
ajst-12276	87	21	and	and	CCONJ
ajst-12276	87	22	output	output	VERB
ajst-12276	87	23	the	the	DET
ajst-12276	87	24	population	population	NOUN
ajst-12276	87	25	at	at	ADP
ajst-12276	87	26	the	the	DET
ajst-12276	87	27	corresponding	corresponding	ADJ
ajst-12276	87	28	grid	grid	NOUN
ajst-12276	87	29	positions	position	NOUN
ajst-12276	87	30	.	.	PUNCT
ajst-12276	88	1	thus	thus	ADV
ajst-12276	88	2	achieving	achieve	VERB
ajst-12276	88	3	population	population	NOUN
ajst-12276	88	4	spatialization	spatialization	NOUN
ajst-12276	88	5	.	.	PUNCT
ajst-12276	89	1	4	4	X
ajst-12276	89	2	.	.	X
ajst-12276	89	3	conclusion	conclusion	NOUN
ajst-12276	89	4	the	the	DET
ajst-12276	89	5	commonly	commonly	ADV
ajst-12276	89	6	used	use	VERB
ajst-12276	89	7	accuracy	accuracy	NOUN
ajst-12276	89	8	verification	verification	NOUN
ajst-12276	89	9	method	method	NOUN
ajst-12276	89	10	for	for	ADP
ajst-12276	89	11	convolutional	convolutional	ADJ
ajst-12276	89	12	neural	neural	ADJ
ajst-12276	89	13	network	network	NOUN
ajst-12276	89	14	models	model	NOUN
ajst-12276	89	15	(	(	PUNCT
ajst-12276	89	16	cnn	cnn	PROPN
ajst-12276	89	17	)	)	PUNCT
ajst-12276	89	18	is	be	AUX
ajst-12276	89	19	to	to	PART
ajst-12276	89	20	evaluate	evaluate	VERB
ajst-12276	89	21	the	the	DET
ajst-12276	89	22	fit	fit	NOUN
ajst-12276	89	23	of	of	ADP
ajst-12276	89	24	statistical	statistical	ADJ
ajst-12276	89	25	models	model	NOUN
ajst-12276	89	26	by	by	ADP
ajst-12276	89	27	comparing	compare	VERB
ajst-12276	89	28	the	the	DET
ajst-12276	89	29	predicted	predict	VERB
ajst-12276	89	30	values	value	NOUN
ajst-12276	89	31	of	of	ADP
ajst-12276	89	32	30	30	NUM
ajst-12276	89	33	%	%	NOUN
ajst-12276	89	34	of	of	ADP
ajst-12276	89	35	the	the	DET
ajst-12276	89	36	predicted	predict	VERB
ajst-12276	89	37	data	datum	NOUN
ajst-12276	89	38	with	with	ADP
ajst-12276	89	39	the	the	DET
ajst-12276	89	40	initial	initial	ADJ
ajst-12276	89	41	values	value	NOUN
ajst-12276	89	42	.	.	PUNCT
ajst-12276	90	1	unlike	unlike	ADP
ajst-12276	90	2	commonly	commonly	ADV
ajst-12276	90	3	used	use	VERB
ajst-12276	90	4	precision	precision	NOUN
ajst-12276	90	5	analysis	analysis	NOUN
ajst-12276	90	6	,	,	PUNCT
ajst-12276	90	7	the	the	DET
ajst-12276	90	8	precision	precision	NOUN
ajst-12276	90	9	analysis	analysis	NOUN
ajst-12276	90	10	method	method	NOUN
ajst-12276	90	11	of	of	ADP
ajst-12276	90	12	population	population	NOUN
ajst-12276	90	13	spatialization	spatialization	NOUN
ajst-12276	90	14	mainly	mainly	ADV
ajst-12276	90	15	includes	include	VERB
ajst-12276	90	16	summarizing	summarize	VERB
ajst-12276	90	17	the	the	DET
ajst-12276	90	18	population	population	NOUN
ajst-12276	90	19	density	density	NOUN
ajst-12276	90	20	of	of	ADP
ajst-12276	90	21	the	the	DET
ajst-12276	90	22	subdivision	subdivision	NOUN
ajst-12276	90	23	grid	grid	VERB
ajst-12276	90	24	onto	onto	ADP
ajst-12276	90	25	the	the	DET
ajst-12276	90	26	corresponding	corresponding	ADJ
ajst-12276	90	27	minimum	minimum	ADJ
ajst-12276	90	28	administrative	administrative	ADJ
ajst-12276	90	29	unit	unit	NOUN
ajst-12276	90	30	,	,	PUNCT
ajst-12276	90	31	and	and	CCONJ
ajst-12276	90	32	comparing	compare	VERB
ajst-12276	90	33	the	the	DET
ajst-12276	90	34	population	population	NOUN
ajst-12276	90	35	on	on	ADP
ajst-12276	90	36	the	the	DET
ajst-12276	90	37	minimum	minimum	ADJ
ajst-12276	90	38	administrative	administrative	ADJ
ajst-12276	90	39	unit	unit	NOUN
ajst-12276	90	40	generated	generate	VERB
ajst-12276	90	41	by	by	ADP
ajst-12276	90	42	the	the	DET
ajst-12276	90	43	experimental	experimental	ADJ
ajst-12276	90	44	summary	summary	NOUN
ajst-12276	90	45	.	.	PUNCT
ajst-12276	91	1	this	this	DET
ajst-12276	91	2	article	article	NOUN
ajst-12276	91	3	substitutes	substitute	VERB
ajst-12276	91	4	grid	grid	NOUN
ajst-12276	91	5	feature	feature	NOUN
ajst-12276	91	6	data	datum	NOUN
ajst-12276	91	7	into	into	ADP
ajst-12276	91	8	a	a	DET
ajst-12276	91	9	trained	train	VERB
ajst-12276	91	10	convolutional	convolutional	ADJ
ajst-12276	91	11	neural	neural	ADJ
ajst-12276	91	12	network	network	NOUN
ajst-12276	91	13	(	(	PUNCT
ajst-12276	91	14	cnn	cnn	PROPN
ajst-12276	91	15	)	)	PUNCT
ajst-12276	91	16	model	model	NOUN
ajst-12276	91	17	to	to	PART
ajst-12276	91	18	obtain	obtain	VERB
ajst-12276	91	19	the	the	DET
ajst-12276	91	20	population	population	NOUN
ajst-12276	91	21	density	density	NOUN
ajst-12276	91	22	of	of	ADP
ajst-12276	91	23	each	each	DET
ajst-12276	91	24	grid	grid	NOUN
ajst-12276	91	25	.	.	PUNCT
ajst-12276	92	1	then	then	ADV
ajst-12276	92	2	,	,	PUNCT
ajst-12276	92	3	the	the	DET
ajst-12276	92	4	population	population	NOUN
ajst-12276	92	5	data	datum	NOUN
ajst-12276	92	6	of	of	ADP
ajst-12276	92	7	each	each	DET
ajst-12276	92	8	grid	grid	NOUN
ajst-12276	92	9	unit	unit	NOUN
ajst-12276	92	10	is	be	AUX
ajst-12276	92	11	summarized	summarize	VERB
ajst-12276	92	12	in	in	ADP
ajst-12276	92	13	the	the	DET
ajst-12276	92	14	corresponding	corresponding	ADJ
ajst-12276	92	15	townships	township	NOUN
ajst-12276	92	16	,	,	PUNCT
ajst-12276	92	17	and	and	CCONJ
ajst-12276	92	18	compared	compare	VERB
ajst-12276	92	19	with	with	ADP
ajst-12276	92	20	the	the	DET
ajst-12276	92	21	population	population	NOUN
ajst-12276	92	22	of	of	ADP
ajst-12276	92	23	the	the	DET
ajst-12276	92	24	seventh	seventh	ADJ
ajst-12276	92	25	population	population	NOUN
ajst-12276	92	26	census	census	NOUN
ajst-12276	92	27	of	of	ADP
ajst-12276	92	28	guizhou	guizhou	PROPN
ajst-12276	92	29	province	province	NOUN
ajst-12276	92	30	in	in	ADP
ajst-12276	92	31	2020	2020	NUM
ajst-12276	92	32	to	to	PART
ajst-12276	92	33	output	output	VERB
ajst-12276	92	34	the	the	DET
ajst-12276	92	35	fitting	fitting	ADJ
ajst-12276	92	36	degree	degree	NOUN
ajst-12276	92	37	.	.	PUNCT
ajst-12276	93	1	most	most	ADJ
ajst-12276	93	2	of	of	ADP
ajst-12276	93	3	the	the	DET
ajst-12276	93	4	predicted	predict	VERB
ajst-12276	93	5	data	data	NOUN
ajst-12276	93	6	values	value	NOUN
ajst-12276	93	7	in	in	ADP
ajst-12276	93	8	this	this	DET
ajst-12276	93	9	experiment	experiment	NOUN
ajst-12276	93	10	are	be	AUX
ajst-12276	93	11	distributed	distribute	VERB
ajst-12276	93	12	near	near	ADP
ajst-12276	93	13	the	the	DET
ajst-12276	93	14	trend	trend	NOUN
ajst-12276	93	15	line	line	NOUN
ajst-12276	93	16	,	,	PUNCT
ajst-12276	93	17	with	with	ADP
ajst-12276	93	18	a	a	DET
ajst-12276	93	19	goodness	goodness	NOUN
ajst-12276	93	20	of	of	ADP
ajst-12276	93	21	fit	fit	NOUN
ajst-12276	93	22	of	of	ADP
ajst-12276	93	23	r2=0.852	r2=0.852	PROPN
ajst-12276	93	24	,	,	PUNCT
ajst-12276	93	25	indicating	indicate	VERB
ajst-12276	93	26	that	that	SCONJ
ajst-12276	93	27	the	the	DET
ajst-12276	93	28	prediction	prediction	NOUN
ajst-12276	93	29	accuracy	accuracy	NOUN
ajst-12276	93	30	of	of	ADP
ajst-12276	93	31	this	this	DET
ajst-12276	93	32	experiment	experiment	NOUN
ajst-12276	93	33	is	be	AUX
ajst-12276	93	34	relatively	relatively	ADV
ajst-12276	93	35	high	high	ADJ
ajst-12276	93	36	.	.	PUNCT
ajst-12276	94	1	the	the	DET
ajst-12276	94	2	convolutional	convolutional	ADJ
ajst-12276	94	3	neural	neural	ADJ
ajst-12276	94	4	network	network	NOUN
ajst-12276	94	5	(	(	PUNCT
ajst-12276	94	6	cnn	cnn	PROPN
ajst-12276	94	7	)	)	PUNCT
ajst-12276	94	8	model	model	NOUN
ajst-12276	94	9	can	can	AUX
ajst-12276	94	10	accurately	accurately	ADV
ajst-12276	94	11	reflect	reflect	VERB
ajst-12276	94	12	the	the	DET
ajst-12276	94	13	characteristics	characteristic	NOUN
ajst-12276	94	14	of	of	ADP
ajst-12276	94	15	population	population	NOUN
ajst-12276	94	16	distribution	distribution	NOUN
ajst-12276	94	17	in	in	ADP
ajst-12276	94	18	urban	urban	ADJ
ajst-12276	94	19	and	and	CCONJ
ajst-12276	94	20	rural	rural	ADJ
ajst-12276	94	21	areas	area	NOUN
ajst-12276	94	22	,	,	PUNCT
ajst-12276	94	23	and	and	CCONJ
ajst-12276	94	24	better	well	ADV
ajst-12276	94	25	reflect	reflect	VERB
ajst-12276	94	26	the	the	DET
ajst-12276	94	27	distribution	distribution	NOUN
ajst-12276	94	28	patterns	pattern	NOUN
ajst-12276	94	29	of	of	ADP
ajst-12276	94	30	urban	urban	ADJ
ajst-12276	94	31	and	and	CCONJ
ajst-12276	94	32	rural	rural	ADJ
ajst-12276	94	33	populations	population	NOUN
ajst-12276	94	34	.	.	PUNCT
ajst-12276	95	1	using	use	VERB
ajst-12276	95	2	census	census	NOUN
ajst-12276	95	3	,	,	PUNCT
ajst-12276	95	4	survey	survey	NOUN
ajst-12276	95	5	,	,	PUNCT
ajst-12276	95	6	satellite	satellite	NOUN
ajst-12276	95	7	,	,	PUNCT
ajst-12276	95	8	and	and	CCONJ
ajst-12276	95	9	mobile	mobile	ADJ
ajst-12276	95	10	data	datum	NOUN
ajst-12276	95	11	to	to	PART
ajst-12276	95	12	generate	generate	VERB
ajst-12276	95	13	a	a	DET
ajst-12276	95	14	consistent	consistent	ADJ
ajst-12276	95	15	grid	grid	NOUN
ajst-12276	95	16	with	with	ADP
ajst-12276	95	17	high	high	ADJ
ajst-12276	95	18	accuracy	accuracy	NOUN
ajst-12276	95	19	can	can	AUX
ajst-12276	95	20	distinguish	distinguish	VERB
ajst-12276	95	21	the	the	DET
ajst-12276	95	22	shape	shape	NOUN
ajst-12276	95	23	of	of	ADP
ajst-12276	95	24	rivers	river	NOUN
ajst-12276	95	25	,	,	PUNCT
ajst-12276	95	26	with	with	ADP
ajst-12276	95	27	more	more	ADV
ajst-12276	95	28	obvious	obvious	ADJ
ajst-12276	95	29	graininess	graininess	NOUN
ajst-12276	95	30	,	,	PUNCT
ajst-12276	95	31	higher	high	ADJ
ajst-12276	95	32	fragmentation[7	fragmentation[7	NOUN
ajst-12276	95	33	]	]	X
ajst-12276	95	34	.	.	PUNCT
ajst-12276	96	1	,	,	PUNCT
ajst-12276	96	2	more	more	ADV
ajst-12276	96	3	prominent	prominent	ADJ
ajst-12276	96	4	textures	texture	NOUN
ajst-12276	96	5	,	,	PUNCT
ajst-12276	96	6	and	and	CCONJ
ajst-12276	96	7	more	more	ADV
ajst-12276	96	8	detailed	detailed	ADJ
ajst-12276	96	9	information	information	NOUN
ajst-12276	96	10	,	,	PUNCT
ajst-12276	96	11	which	which	PRON
ajst-12276	96	12	is	be	AUX
ajst-12276	96	13	more	more	ADJ
ajst-12276	96	14	in	in	ADP
ajst-12276	96	15	line	line	NOUN
ajst-12276	96	16	with	with	ADP
ajst-12276	96	17	the	the	DET
ajst-12276	96	18	actual	actual	ADJ
ajst-12276	96	19	population	population	NOUN
ajst-12276	96	20	distribution	distribution	NOUN
ajst-12276	96	21	in	in	ADP
ajst-12276	96	22	complex	complex	ADJ
ajst-12276	96	23	surface	surface	NOUN
ajst-12276	96	24	environments	environment	NOUN
ajst-12276	96	25	.	.	PUNCT
ajst-12276	97	1	the	the	DET
ajst-12276	97	2	simulation	simulation	NOUN
ajst-12276	97	3	results	result	VERB
ajst-12276	97	4	of	of	ADP
ajst-12276	97	5	convolutional	convolutional	ADJ
ajst-12276	97	6	neural	neural	ADJ
ajst-12276	97	7	network	network	NOUN
ajst-12276	97	8	models	model	NOUN
ajst-12276	97	9	(	(	PUNCT
ajst-12276	97	10	cnn	cnn	PROPN
ajst-12276	97	11	)	)	PUNCT
ajst-12276	97	12	have	have	VERB
ajst-12276	97	13	high	high	ADJ
ajst-12276	97	14	accuracy	accuracy	NOUN
ajst-12276	97	15	and	and	CCONJ
ajst-12276	97	16	rich	rich	ADJ
ajst-12276	97	17	details	detail	NOUN
ajst-12276	97	18	.	.	PUNCT
ajst-12276	98	1	references	reference	NOUN
ajst-12276	98	2	[	[	X
ajst-12276	98	3	1	1	X
ajst-12276	98	4	]	]	PUNCT
ajst-12276	98	5	a	a	DET
ajst-12276	98	6	methodology	methodology	NOUN
ajst-12276	98	7	for	for	ADP
ajst-12276	98	8	deep	deep	ADJ
ajst-12276	98	9	learning	learning	NOUN
ajst-12276	98	10	and	and	CCONJ
ajst-12276	98	11	its	its	PRON
ajst-12276	98	12	application	application	NOUN
ajst-12276	98	13	to	to	ADP
ajst-12276	98	14	convolutional	convolutional	ADJ
ajst-12276	98	15	neural	neural	ADJ
ajst-12276	98	16	networks	network	NOUN
ajst-12276	98	17	for	for	ADP
ajst-12276	98	18	sentiment	sentiment	NOUN
ajst-12276	98	19	classification	classification	NOUN
ajst-12276	98	20	"	"	PUNCT
ajst-12276	98	21	,	,	PUNCT
ajst-12276	98	22	2016	2016	NUM
ajst-12276	98	23	,	,	PUNCT
ajst-12276	98	24	by	by	ADP
ajst-12276	98	25	j.	j.	PROPN
ajst-12276	98	26	devlin	devlin	PROPN
ajst-12276	98	27	,	,	PUNCT
ajst-12276	98	28	m.w	m.w	PROPN
ajst-12276	98	29	.	.	PROPN
ajst-12276	98	30	chang	chang	PROPN
ajst-12276	98	31	,	,	PUNCT
ajst-12276	98	32	k.	k.	PROPN
ajst-12276	98	33	lee	lee	PROPN
ajst-12276	98	34	and	and	CCONJ
ajst-12276	98	35	k.t	k.t	PROPN
ajst-12276	98	36	.	.	PROPN
ajst-12276	98	37	wu	wu	PROPN
ajst-12276	98	38	..	..	PUNCT
ajst-12276	99	1	[	[	X
ajst-12276	99	2	2	2	X
ajst-12276	99	3	]	]	X
ajst-12276	99	4	delving	delve	VERB
ajst-12276	99	5	deep	deep	ADV
ajst-12276	99	6	into	into	ADP
ajst-12276	99	7	rectifiers	rectifier	NOUN
ajst-12276	99	8	:	:	PUNCT
ajst-12276	99	9	surpassing	surpass	VERB
ajst-12276	99	10	human	human	ADJ
ajst-12276	99	11	-	-	PUNCT
ajst-12276	99	12	level	level	NOUN
ajst-12276	99	13	performance	performance	NOUN
ajst-12276	99	14	on	on	ADP
ajst-12276	99	15	imagenet	imagenet	ADJ
ajst-12276	99	16	classification	classification	NOUN
ajst-12276	99	17	"	"	PUNCT
ajst-12276	99	18	,	,	PUNCT
ajst-12276	99	19	2015	2015	NUM
ajst-12276	99	20	,	,	PUNCT
ajst-12276	99	21	by	by	ADP
ajst-12276	99	22	g.	g.	PROPN
ajst-12276	99	23	huang	huang	PROPN
ajst-12276	99	24	,	,	PUNCT
ajst-12276	99	25	z.	z.	PROPN
ajst-12276	99	26	liu	liu	PROPN
ajst-12276	99	27	,	,	PUNCT
ajst-12276	99	28	l.	l.	PROPN
ajst-12276	99	29	van	van	PROPN
ajst-12276	99	30	der	der	PROPN
ajst-12276	99	31	maaten	maaten	VERB
ajst-12276	99	32	and	and	CCONJ
ajst-12276	99	33	k.	k.	PROPN
ajst-12276	99	34	q.	q.	PROPN
ajst-12276	99	35	weinberger	weinberger	PROPN
ajst-12276	99	36	.	.	PUNCT
ajst-12276	100	1	[	[	X
ajst-12276	100	2	3	3	NUM
ajst-12276	100	3	]	]	ADJ
ajst-12276	100	4	batch	batch	NOUN
ajst-12276	100	5	normalization	normalization	NOUN
ajst-12276	100	6	:	:	PUNCT
ajst-12276	100	7	accelerating	accelerate	VERB
ajst-12276	100	8	deep	deep	ADJ
ajst-12276	100	9	network	network	NOUN
ajst-12276	100	10	training	training	NOUN
ajst-12276	100	11	by	by	ADP
ajst-12276	100	12	reducing	reduce	VERB
ajst-12276	100	13	internal	internal	ADJ
ajst-12276	100	14	covariate	covariate	ADJ
ajst-12276	100	15	shift	shift	NOUN
ajst-12276	100	16	"	"	PUNCT
ajst-12276	100	17	,	,	PUNCT
ajst-12276	100	18	2015	2015	NUM
ajst-12276	100	19	,	,	PUNCT
ajst-12276	100	20	by	by	ADP
ajst-12276	100	21	s.	s.	PROPN
ajst-12276	100	22	ioffe	ioffe	PROPN
ajst-12276	100	23	and	and	CCONJ
ajst-12276	100	24	c.	c.	PROPN
ajst-12276	100	25	szegedy	szegedy	PROPN
ajst-12276	100	26	.	.	PUNCT
ajst-12276	101	1	[	[	X
ajst-12276	101	2	4	4	NUM
ajst-12276	101	3	]	]	PUNCT
ajst-12276	101	4	imagenet	imagenet	ADJ
ajst-12276	101	5	large	large	ADJ
ajst-12276	101	6	scale	scale	NOUN
ajst-12276	101	7	visual	visual	ADJ
ajst-12276	101	8	recognition	recognition	NOUN
ajst-12276	101	9	challenge	challenge	NOUN
ajst-12276	101	10	"	"	PUNCT
ajst-12276	101	11	,	,	PUNCT
ajst-12276	101	12	2015	2015	NUM
ajst-12276	101	13	,	,	PUNCT
ajst-12276	101	14	by	by	ADP
ajst-12276	101	15	v.	v.	ADP
ajst-12276	101	16	voulodimos	voulodimos	PROPN
ajst-12276	101	17	,	,	PUNCT
ajst-12276	101	18	n.	n.	PROPN
ajst-12276	101	19	doulamis	doulamis	PROPN
ajst-12276	101	20	,	,	PUNCT
ajst-12276	101	21	n.	n.	PROPN
ajst-12276	101	22	doulamis	doulamis	NOUN
ajst-12276	101	23	and	and	CCONJ
ajst-12276	101	24	a.	a.	NOUN
ajst-12276	101	25	antonopoulos	antonopoulo	NOUN
ajst-12276	101	26	.	.	PUNCT
ajst-12276	102	1	[	[	X
ajst-12276	102	2	5	5	NUM
ajst-12276	102	3	]	]	PUNCT
ajst-12276	102	4	object	object	NOUN
ajst-12276	102	5	detection	detection	NOUN
ajst-12276	102	6	with	with	ADP
ajst-12276	102	7	countless	countless	ADJ
ajst-12276	102	8	objects	object	NOUN
ajst-12276	102	9	"	"	PUNCT
ajst-12276	102	10	,	,	PUNCT
ajst-12276	102	11	2014	2014	NUM
ajst-12276	102	12	,	,	PUNCT
ajst-12276	102	13	by	by	ADP
ajst-12276	102	14	p.	p.	PROPN
ajst-12276	102	15	sermanet	sermanet	PROPN
ajst-12276	102	16	,	,	PUNCT
ajst-12276	102	17	d.	d.	PROPN
ajst-12276	102	18	eigen	eigen	PROPN
ajst-12276	102	19	,	,	PUNCT
ajst-12276	102	20	x.	x.	PROPN
ajst-12276	102	21	zhang	zhang	PROPN
ajst-12276	102	22	,	,	PUNCT
ajst-12276	102	23	m.	m.	PROPN
ajst-12276	102	24	mathieu	mathieu	PROPN
ajst-12276	102	25	,	,	PUNCT
ajst-12276	102	26	r.	r.	PROPN
ajst-12276	102	27	fergus	fergus	PROPN
ajst-12276	102	28	and	and	CCONJ
ajst-12276	102	29	y.	y.	PROPN
ajst-12276	102	30	lecun	lecun	PROPN
ajst-12276	102	31	.	.	PUNCT
ajst-12276	103	1	[	[	X
ajst-12276	103	2	6	6	NUM
ajst-12276	103	3	]	]	SYM
ajst-12276	103	4	li	li	PROPN
ajst-12276	103	5	,	,	PUNCT
ajst-12276	103	6	y.	y.	PROPN
ajst-12276	103	7	,	,	PUNCT
ajst-12276	103	8	&	&	CCONJ
ajst-12276	103	9	chen	chen	PROPN
ajst-12276	103	10	,	,	PUNCT
ajst-12276	103	11	y.	y.	PROPN
ajst-12276	103	12	(	(	PUNCT
ajst-12276	103	13	2021	2021	NUM
ajst-12276	103	14	)	)	PUNCT
ajst-12276	103	15	.	.	PUNCT
ajst-12276	104	1	random	random	ADJ
ajst-12276	104	2	forest	forest	NOUN
ajst-12276	104	3	:	:	PUNCT
ajst-12276	104	4	a	a	DET
ajst-12276	104	5	literature	literature	PROPN
ajst-12276	104	6	review	review	NOUN
ajst-12276	104	7	.	.	PUNCT
ajst-12276	105	1	journal	journal	NOUN
ajst-12276	105	2	of	of	ADP
ajst-12276	105	3	big	big	ADJ
ajst-12276	105	4	data	datum	NOUN
ajst-12276	105	5	science	science	NOUN
ajst-12276	105	6	and	and	CCONJ
ajst-12276	105	7	engineering	engineering	NOUN
ajst-12276	105	8	,	,	PUNCT
ajst-12276	105	9	6(3	6(3	NUM
ajst-12276	105	10	)	)	PUNCT
ajst-12276	105	11	,	,	PUNCT
ajst-12276	105	12	67	67	NUM
ajst-12276	105	13	-	-	SYM
ajst-12276	105	14	79	79	NUM
ajst-12276	105	15	.	.	PUNCT
ajst-12276	106	1	[	[	X
ajst-12276	106	2	7	7	NUM
ajst-12276	106	3	]	]	X
ajst-12276	106	4	wang	wang	PROPN
ajst-12276	106	5	,	,	PUNCT
ajst-12276	106	6	y.	y.	PROPN
ajst-12276	106	7	,	,	PUNCT
ajst-12276	106	8	he	he	PRON
ajst-12276	106	9	,	,	PUNCT
ajst-12276	106	10	q.	q.	PROPN
ajst-12276	106	11	,	,	PUNCT
ajst-12276	106	12	&	&	CCONJ
ajst-12276	106	13	wu	wu	PROPN
ajst-12276	106	14	,	,	PUNCT
ajst-12276	106	15	j.	j.	PROPN
ajst-12276	106	16	(	(	PUNCT
ajst-12276	106	17	2019	2019	NUM
ajst-12276	106	18	)	)	PUNCT
ajst-12276	106	19	.	.	PUNCT
ajst-12276	107	1	predicting	predict	VERB
ajst-12276	107	2	the	the	DET
ajst-12276	107	3	spatial	spatial	ADJ
ajst-12276	107	4	distribution	distribution	NOUN
ajst-12276	107	5	of	of	ADP
ajst-12276	107	6	population	population	NOUN
ajst-12276	107	7	using	use	VERB
ajst-12276	107	8	remote	remote	ADJ
ajst-12276	107	9	sensing	sensing	NOUN
ajst-12276	107	10	images	image	NOUN
ajst-12276	107	11	and	and	CCONJ
ajst-12276	107	12	machine	machine	NOUN
ajst-12276	107	13	learning	learning	NOUN
ajst-12276	107	14	algorithms	algorithm	NOUN
ajst-12276	107	15	:	:	PUNCT
ajst-12276	107	16	a	a	DET
ajst-12276	107	17	case	case	NOUN
ajst-12276	107	18	study	study	NOUN
ajst-12276	107	19	in	in	ADP
ajst-12276	107	20	china	china	PROPN
ajst-12276	107	21	.	.	PUNCT
ajst-12276	108	1	applied	apply	VERB
ajst-12276	108	2	sciences	science	NOUN
ajst-12276	108	3	,	,	PUNCT
ajst-12276	108	4	9(17	9(17	NUM
ajst-12276	108	5	)	)	PUNCT
ajst-12276	108	6	,	,	PUNCT
ajst-12276	108	7	3867	3867	NUM
ajst-12276	108	8	.	.	PUNCT