id	sid	tid	token	lemma	pos
fcis-12005	1	1	frontiers	frontier	NOUN
fcis-12005	1	2	in	in	ADP
fcis-12005	1	3	computing	computing	NOUN
fcis-12005	1	4	and	and	CCONJ
fcis-12005	1	5	intelligent	intelligent	ADJ
fcis-12005	1	6	systems	system	NOUN
fcis-12005	1	7	issn	issn	VERB
fcis-12005	1	8	:	:	PUNCT
fcis-12005	1	9	2832	2832	NUM
fcis-12005	1	10	-	-	SYM
fcis-12005	1	11	6024	6024	NUM
fcis-12005	1	12	|	|	NOUN
fcis-12005	1	13	vol	vol	NOUN
fcis-12005	1	14	.	.	PROPN
fcis-12005	2	1	5	5	NUM
fcis-12005	2	2	,	,	PUNCT
fcis-12005	2	3	no	no	INTJ
fcis-12005	2	4	.	.	NOUN
fcis-12005	2	5	1	1	NUM
fcis-12005	2	6	,	,	PUNCT
fcis-12005	2	7	2023	2023	NUM
fcis-12005	2	8	107	107	NUM
fcis-12005	2	9	population	population	NOUN
fcis-12005	2	10	spatialization	spatialization	NOUN
fcis-12005	2	11	based	base	VERB
fcis-12005	2	12	on	on	ADP
fcis-12005	2	13	random	random	ADJ
fcis-12005	2	14	forest	forest	NOUN
fcis-12005	2	15	model	model	NOUN
fcis-12005	2	16	and	and	CCONJ
fcis-12005	2	17	multi‐source	multi‐source	PROPN
fcis-12005	2	18	geospatial	geospatial	ADJ
fcis-12005	2	19	big	big	ADJ
fcis-12005	2	20	data	data	PROPN
fcis-12005	2	21	xusong	xusong	PROPN
fcis-12005	3	1	zhang	zhang	PROPN
fcis-12005	3	2	*	*	PROPN
fcis-12005	3	3	,	,	PUNCT
fcis-12005	3	4	maria	maria	PROPN
fcis-12005	3	5	rosario	rosario	PROPN
fcis-12005	3	6	rodavia	rodavia	PROPN
fcis-12005	3	7	graduate	graduate	PROPN
fcis-12005	3	8	school	school	PROPN
fcis-12005	3	9	,	,	PUNCT
fcis-12005	3	10	angeles	angeles	PROPN
fcis-12005	3	11	university	university	PROPN
fcis-12005	3	12	foundation	foundation	PROPN
fcis-12005	3	13	,	,	PUNCT
fcis-12005	3	14	angeles	angeles	PROPN
fcis-12005	3	15	2009	2009	NUM
fcis-12005	3	16	,	,	PUNCT
fcis-12005	3	17	philippines	philippine	NOUN
fcis-12005	3	18	*	*	PUNCT
fcis-12005	3	19	corresponding	correspond	VERB
fcis-12005	3	20	author	author	NOUN
fcis-12005	3	21	:	:	PUNCT
fcis-12005	4	1	xusong	xusong	PROPN
fcis-12005	4	2	zhang	zhang	PROPN
fcis-12005	4	3	(	(	PUNCT
fcis-12005	4	4	email	email	NOUN
fcis-12005	4	5	:	:	PUNCT
fcis-12005	4	6	zhang.xusong@auf.edu.ph	zhang.xusong@auf.edu.ph	NUM
fcis-12005	4	7	)	)	PUNCT
fcis-12005	4	8	abstract	abstract	NOUN
fcis-12005	4	9	:	:	PUNCT
fcis-12005	4	10	population	population	NOUN
fcis-12005	4	11	spatialization	spatialization	NOUN
fcis-12005	4	12	research	research	NOUN
fcis-12005	4	13	is	be	AUX
fcis-12005	4	14	an	an	DET
fcis-12005	4	15	important	important	ADJ
fcis-12005	4	16	approach	approach	NOUN
fcis-12005	4	17	to	to	PART
fcis-12005	4	18	achieve	achieve	VERB
fcis-12005	4	19	fine	fine	ADV
fcis-12005	4	20	-	-	PUNCT
fcis-12005	4	21	grained	grain	VERB
fcis-12005	4	22	management	management	NOUN
fcis-12005	4	23	of	of	ADP
fcis-12005	4	24	urban	urban	ADJ
fcis-12005	4	25	space	space	NOUN
fcis-12005	4	26	and	and	CCONJ
fcis-12005	4	27	coordinated	coordinate	VERB
fcis-12005	4	28	development	development	NOUN
fcis-12005	4	29	of	of	ADP
fcis-12005	4	30	rural	rural	ADJ
fcis-12005	4	31	resources	resource	NOUN
fcis-12005	4	32	and	and	CCONJ
fcis-12005	4	33	the	the	DET
fcis-12005	4	34	environment	environment	NOUN
fcis-12005	4	35	.	.	PUNCT
fcis-12005	5	1	by	by	ADP
fcis-12005	5	2	converting	convert	VERB
fcis-12005	5	3	administrative	administrative	ADJ
fcis-12005	5	4	-	-	PUNCT
fcis-12005	5	5	level	level	NOUN
fcis-12005	5	6	population	population	NOUN
fcis-12005	5	7	data	datum	NOUN
fcis-12005	5	8	into	into	ADP
fcis-12005	5	9	a	a	DET
fcis-12005	5	10	finer	fine	ADJ
fcis-12005	5	11	grid	grid	NOUN
fcis-12005	5	12	scale	scale	NOUN
fcis-12005	5	13	,	,	PUNCT
fcis-12005	5	14	it	it	PRON
fcis-12005	5	15	allows	allow	VERB
fcis-12005	5	16	for	for	ADP
fcis-12005	5	17	in	in	ADP
fcis-12005	5	18	-	-	PUNCT
fcis-12005	5	19	depth	depth	NOUN
fcis-12005	5	20	analysis	analysis	NOUN
fcis-12005	5	21	of	of	ADP
fcis-12005	5	22	the	the	DET
fcis-12005	5	23	spatial	spatial	ADJ
fcis-12005	5	24	distribution	distribution	NOUN
fcis-12005	5	25	characteristics	characteristic	NOUN
fcis-12005	5	26	of	of	ADP
fcis-12005	5	27	population	population	NOUN
fcis-12005	5	28	density	density	NOUN
fcis-12005	5	29	and	and	CCONJ
fcis-12005	5	30	geographic	geographic	ADJ
fcis-12005	5	31	heterogeneity	heterogeneity	NOUN
fcis-12005	5	32	within	within	ADP
fcis-12005	5	33	a	a	DET
fcis-12005	5	34	region	region	NOUN
fcis-12005	5	35	.	.	PUNCT
fcis-12005	6	1	currently	currently	ADV
fcis-12005	6	2	,	,	PUNCT
fcis-12005	6	3	in	in	ADP
fcis-12005	6	4	china	china	PROPN
fcis-12005	6	5	,	,	PUNCT
fcis-12005	6	6	a	a	DET
fcis-12005	6	7	population	population	NOUN
fcis-12005	6	8	census	census	NOUN
fcis-12005	6	9	is	be	AUX
fcis-12005	6	10	conducted	conduct	VERB
fcis-12005	6	11	every	every	DET
fcis-12005	6	12	ten	ten	NUM
fcis-12005	6	13	years	year	NOUN
fcis-12005	6	14	,	,	PUNCT
fcis-12005	6	15	with	with	ADP
fcis-12005	6	16	the	the	DET
fcis-12005	6	17	township	township	NOUN
fcis-12005	6	18	as	as	ADP
fcis-12005	6	19	the	the	DET
fcis-12005	6	20	smallest	small	ADJ
fcis-12005	6	21	statistical	statistical	ADJ
fcis-12005	6	22	unit	unit	NOUN
fcis-12005	6	23	.	.	PUNCT
fcis-12005	7	1	however	however	ADV
fcis-12005	7	2	,	,	PUNCT
fcis-12005	7	3	due	due	ADP
fcis-12005	7	4	to	to	ADP
fcis-12005	7	5	advancements	advancement	NOUN
fcis-12005	7	6	in	in	ADP
fcis-12005	7	7	computer	computer	NOUN
fcis-12005	7	8	science	science	NOUN
fcis-12005	7	9	and	and	CCONJ
fcis-12005	7	10	geography	geography	NOUN
fcis-12005	7	11	,	,	PUNCT
fcis-12005	7	12	the	the	DET
fcis-12005	7	13	level	level	NOUN
fcis-12005	7	14	of	of	ADP
fcis-12005	7	15	precision	precision	NOUN
fcis-12005	7	16	in	in	ADP
fcis-12005	7	17	data	datum	NOUN
fcis-12005	7	18	can	can	AUX
fcis-12005	7	19	no	no	ADV
fcis-12005	7	20	longer	long	ADV
fcis-12005	7	21	meet	meet	VERB
fcis-12005	7	22	the	the	DET
fcis-12005	7	23	requirements	requirement	NOUN
fcis-12005	7	24	of	of	ADP
fcis-12005	7	25	modern	modern	ADJ
fcis-12005	7	26	geographical	geographical	ADJ
fcis-12005	7	27	research	research	NOUN
fcis-12005	7	28	.	.	PUNCT
fcis-12005	8	1	population	population	NOUN
fcis-12005	8	2	spatialization	spatialization	PROPN
fcis-12005	8	3	,	,	PUNCT
fcis-12005	8	4	based	base	VERB
fcis-12005	8	5	on	on	ADP
fcis-12005	8	6	national	national	ADJ
fcis-12005	8	7	population	population	NOUN
fcis-12005	8	8	statistics	statistic	NOUN
fcis-12005	8	9	,	,	PUNCT
fcis-12005	8	10	utilizes	utilize	VERB
fcis-12005	8	11	techniques	technique	NOUN
fcis-12005	8	12	such	such	ADJ
fcis-12005	8	13	as	as	ADP
fcis-12005	8	14	multi	multi	ADJ
fcis-12005	8	15	-	-	ADJ
fcis-12005	8	16	source	source	NOUN
fcis-12005	8	17	data	datum	NOUN
fcis-12005	8	18	fusion	fusion	NOUN
fcis-12005	8	19	and	and	CCONJ
fcis-12005	8	20	data	datum	NOUN
fcis-12005	8	21	mining	mining	NOUN
fcis-12005	8	22	to	to	PART
fcis-12005	8	23	decompose	decompose	VERB
fcis-12005	8	24	large	large	ADJ
fcis-12005	8	25	-	-	PUNCT
fcis-12005	8	26	scale	scale	NOUN
fcis-12005	8	27	population	population	NOUN
fcis-12005	8	28	data	datum	NOUN
fcis-12005	8	29	into	into	ADP
fcis-12005	8	30	corresponding	correspond	VERB
fcis-12005	8	31	grid	grid	NOUN
fcis-12005	8	32	-	-	PUNCT
fcis-12005	8	33	based	base	VERB
fcis-12005	8	34	data	datum	NOUN
fcis-12005	8	35	,	,	PUNCT
fcis-12005	8	36	enabling	enable	VERB
fcis-12005	8	37	more	more	ADV
fcis-12005	8	38	accurate	accurate	ADJ
fcis-12005	8	39	spatial	spatial	ADJ
fcis-12005	8	40	representation	representation	NOUN
fcis-12005	8	41	of	of	ADP
fcis-12005	8	42	national	national	ADJ
fcis-12005	8	43	population	population	NOUN
fcis-12005	8	44	statistics	statistic	NOUN
fcis-12005	8	45	and	and	CCONJ
fcis-12005	8	46	facilitating	facilitate	VERB
fcis-12005	8	47	the	the	DET
fcis-12005	8	48	understanding	understanding	NOUN
fcis-12005	8	49	of	of	ADP
fcis-12005	8	50	population	population	NOUN
fcis-12005	8	51	distribution	distribution	NOUN
fcis-12005	8	52	patterns	pattern	NOUN
fcis-12005	8	53	.	.	PUNCT
fcis-12005	9	1	this	this	DET
fcis-12005	9	2	study	study	NOUN
fcis-12005	9	3	used	use	VERB
fcis-12005	9	4	administrative	administrative	ADJ
fcis-12005	9	5	boundary	boundary	ADJ
fcis-12005	9	6	data	datum	NOUN
fcis-12005	9	7	for	for	ADP
fcis-12005	9	8	88	88	NUM
fcis-12005	9	9	counties	county	NOUN
fcis-12005	9	10	in	in	ADP
fcis-12005	9	11	guizhou	guizhou	PROPN
fcis-12005	9	12	province	province	NOUN
fcis-12005	9	13	in	in	ADP
fcis-12005	9	14	2021	2021	NUM
fcis-12005	9	15	,	,	PUNCT
fcis-12005	9	16	county	county	NOUN
fcis-12005	9	17	-	-	PUNCT
fcis-12005	9	18	level	level	NOUN
fcis-12005	9	19	population	population	NOUN
fcis-12005	9	20	data	datum	NOUN
fcis-12005	9	21	from	from	ADP
fcis-12005	9	22	the	the	DET
fcis-12005	9	23	2021	2021	NUM
fcis-12005	9	24	china	china	PROPN
fcis-12005	9	25	county	county	PROPN
fcis-12005	9	26	statistical	statistical	ADJ
fcis-12005	9	27	yearbook	yearbook	NOUN
fcis-12005	9	28	,	,	PUNCT
fcis-12005	9	29	and	and	CCONJ
fcis-12005	9	30	diverse	diverse	ADJ
fcis-12005	9	31	geospatial	geospatial	ADJ
fcis-12005	9	32	data	datum	NOUN
fcis-12005	9	33	from	from	ADP
fcis-12005	9	34	guizhou	guizhou	NOUN
fcis-12005	9	35	in	in	ADP
fcis-12005	9	36	2017	2017	NUM
fcis-12005	9	37	.	.	PUNCT
fcis-12005	10	1	nine	nine	NUM
fcis-12005	10	2	spatial	spatial	ADJ
fcis-12005	10	3	variables	variable	NOUN
fcis-12005	10	4	that	that	PRON
fcis-12005	10	5	impact	impact	VERB
fcis-12005	10	6	the	the	DET
fcis-12005	10	7	spatial	spatial	ADJ
fcis-12005	10	8	distribution	distribution	NOUN
fcis-12005	10	9	of	of	ADP
fcis-12005	10	10	the	the	DET
fcis-12005	10	11	study	study	NOUN
fcis-12005	10	12	area	area	NOUN
fcis-12005	10	13	's	's	PART
fcis-12005	10	14	population	population	NOUN
fcis-12005	10	15	,	,	PUNCT
fcis-12005	10	16	such	such	ADJ
fcis-12005	10	17	as	as	ADP
fcis-12005	10	18	points	point	NOUN
fcis-12005	10	19	of	of	ADP
fcis-12005	10	20	interest	interest	NOUN
fcis-12005	10	21	and	and	CCONJ
fcis-12005	10	22	nighttime	nighttime	ADJ
fcis-12005	10	23	light	light	ADJ
fcis-12005	10	24	indices	index	NOUN
fcis-12005	10	25	,	,	PUNCT
fcis-12005	10	26	were	be	AUX
fcis-12005	10	27	extracted	extract	VERB
fcis-12005	10	28	.	.	PUNCT
fcis-12005	11	1	a	a	DET
fcis-12005	11	2	random	random	ADJ
fcis-12005	11	3	forest	forest	NOUN
fcis-12005	11	4	method	method	NOUN
fcis-12005	11	5	was	be	AUX
fcis-12005	11	6	used	use	VERB
fcis-12005	11	7	to	to	PART
fcis-12005	11	8	construct	construct	VERB
fcis-12005	11	9	a	a	DET
fcis-12005	11	10	population	population	NOUN
fcis-12005	11	11	spatialization	spatialization	NOUN
fcis-12005	11	12	model	model	NOUN
fcis-12005	11	13	and	and	CCONJ
fcis-12005	11	14	simulate	simulate	VERB
fcis-12005	11	15	population	population	NOUN
fcis-12005	11	16	distribution	distribution	NOUN
fcis-12005	11	17	.	.	PUNCT
fcis-12005	12	1	keywords	keyword	NOUN
fcis-12005	12	2	:	:	PUNCT
fcis-12005	12	3	random	random	ADJ
fcis-12005	12	4	forest	forest	NOUN
fcis-12005	12	5	algorithm	algorithm	NOUN
fcis-12005	12	6	;	;	PUNCT
fcis-12005	12	7	population	population	NOUN
fcis-12005	12	8	simulation	simulation	NOUN
fcis-12005	12	9	distribution	distribution	NOUN
fcis-12005	12	10	;	;	PUNCT
fcis-12005	12	11	multi	multi	ADJ
fcis-12005	12	12	-	-	ADJ
fcis-12005	12	13	source	source	ADJ
fcis-12005	12	14	geospatial	geospatial	ADJ
fcis-12005	12	15	big	big	ADJ
fcis-12005	12	16	data	datum	NOUN
fcis-12005	12	17	;	;	PUNCT
fcis-12005	12	18	points	point	NOUN
fcis-12005	12	19	of	of	ADP
fcis-12005	12	20	interest	interest	NOUN
fcis-12005	12	21	(	(	PUNCT
fcis-12005	12	22	poi	poi	PROPN
fcis-12005	12	23	)	)	PUNCT
fcis-12005	12	24	.	.	PUNCT
fcis-12005	13	1	1	1	X
fcis-12005	13	2	.	.	X
fcis-12005	13	3	introduction	introduction	NOUN
fcis-12005	13	4	since	since	SCONJ
fcis-12005	13	5	the	the	DET
fcis-12005	13	6	reform	reform	NOUN
fcis-12005	13	7	and	and	CCONJ
fcis-12005	13	8	opening	opening	NOUN
fcis-12005	13	9	up	up	ADP
fcis-12005	13	10	,	,	PUNCT
fcis-12005	13	11	china	china	PROPN
fcis-12005	13	12	has	have	AUX
fcis-12005	13	13	undergone	undergo	VERB
fcis-12005	13	14	a	a	DET
fcis-12005	13	15	transformation	transformation	NOUN
fcis-12005	13	16	from	from	ADP
fcis-12005	13	17	a	a	DET
fcis-12005	13	18	planned	plan	VERB
fcis-12005	13	19	economy	economy	NOUN
fcis-12005	13	20	to	to	ADP
fcis-12005	13	21	a	a	DET
fcis-12005	13	22	market	market	NOUN
fcis-12005	13	23	economy	economy	NOUN
fcis-12005	13	24	,	,	PUNCT
fcis-12005	13	25	which	which	PRON
fcis-12005	13	26	has	have	AUX
fcis-12005	13	27	also	also	ADV
fcis-12005	13	28	been	be	AUX
fcis-12005	13	29	accompanied	accompany	VERB
fcis-12005	13	30	by	by	ADP
fcis-12005	13	31	an	an	DET
fcis-12005	13	32	unprecedented	unprecedented	ADJ
fcis-12005	13	33	urbanization	urbanization	NOUN
fcis-12005	13	34	process	process	NOUN
fcis-12005	13	35	[	[	X
fcis-12005	13	36	4	4	NUM
fcis-12005	13	37	]	]	PUNCT
fcis-12005	13	38	.	.	PUNCT
fcis-12005	14	1	the	the	DET
fcis-12005	14	2	accelerated	accelerate	VERB
fcis-12005	14	3	development	development	NOUN
fcis-12005	14	4	of	of	ADP
fcis-12005	14	5	urbanization	urbanization	NOUN
fcis-12005	14	6	has	have	AUX
fcis-12005	14	7	brought	bring	VERB
fcis-12005	14	8	about	about	ADP
fcis-12005	14	9	economic	economic	ADJ
fcis-12005	14	10	development	development	NOUN
fcis-12005	14	11	and	and	CCONJ
fcis-12005	14	12	social	social	ADJ
fcis-12005	14	13	progress	progress	NOUN
fcis-12005	14	14	,	,	PUNCT
fcis-12005	14	15	but	but	CCONJ
fcis-12005	14	16	it	it	PRON
fcis-12005	14	17	has	have	AUX
fcis-12005	14	18	also	also	ADV
fcis-12005	14	19	brought	bring	VERB
fcis-12005	14	20	many	many	ADJ
fcis-12005	14	21	challenges	challenge	NOUN
fcis-12005	14	22	to	to	ADP
fcis-12005	14	23	cities	city	NOUN
fcis-12005	14	24	.	.	PUNCT
fcis-12005	15	1	firstly	firstly	ADV
fcis-12005	15	2	,	,	PUNCT
fcis-12005	15	3	the	the	DET
fcis-12005	15	4	rapid	rapid	ADJ
fcis-12005	15	5	growth	growth	NOUN
fcis-12005	15	6	of	of	ADP
fcis-12005	15	7	urbanization	urbanization	NOUN
fcis-12005	15	8	has	have	AUX
fcis-12005	15	9	led	lead	VERB
fcis-12005	15	10	to	to	ADP
fcis-12005	15	11	a	a	DET
fcis-12005	15	12	tense	tense	ADJ
fcis-12005	15	13	supply	supply	NOUN
fcis-12005	15	14	-	-	PUNCT
fcis-12005	15	15	demand	demand	NOUN
fcis-12005	15	16	relationship	relationship	NOUN
fcis-12005	15	17	between	between	ADP
fcis-12005	15	18	urban	urban	ADJ
fcis-12005	15	19	population	population	NOUN
fcis-12005	15	20	and	and	CCONJ
fcis-12005	15	21	resources	resource	NOUN
fcis-12005	15	22	such	such	ADJ
fcis-12005	15	23	as	as	ADP
fcis-12005	15	24	housing	housing	NOUN
fcis-12005	15	25	,	,	PUNCT
fcis-12005	15	26	education	education	NOUN
fcis-12005	15	27	,	,	PUNCT
fcis-12005	15	28	and	and	CCONJ
fcis-12005	15	29	healthcare	healthcare	PROPN
fcis-12005	15	30	,	,	PUNCT
fcis-12005	15	31	exacerbating	exacerbate	VERB
fcis-12005	15	32	the	the	DET
fcis-12005	15	33	contradiction	contradiction	NOUN
fcis-12005	15	34	between	between	ADP
fcis-12005	15	35	urban	urban	ADJ
fcis-12005	15	36	population	population	NOUN
fcis-12005	15	37	and	and	CCONJ
fcis-12005	15	38	land	land	NOUN
fcis-12005	15	39	.	.	PUNCT
fcis-12005	16	1	in	in	ADP
fcis-12005	16	2	addition	addition	NOUN
fcis-12005	16	3	[	[	X
fcis-12005	16	4	5	5	NUM
fcis-12005	16	5	]	]	PUNCT
fcis-12005	16	6	,	,	PUNCT
fcis-12005	16	7	the	the	DET
fcis-12005	16	8	loss	loss	NOUN
fcis-12005	16	9	of	of	ADP
fcis-12005	16	10	rural	rural	ADJ
fcis-12005	16	11	population	population	NOUN
fcis-12005	16	12	has	have	AUX
fcis-12005	16	13	led	lead	VERB
fcis-12005	16	14	to	to	ADP
fcis-12005	16	15	a	a	DET
fcis-12005	16	16	shortage	shortage	NOUN
fcis-12005	16	17	of	of	ADP
fcis-12005	16	18	rural	rural	ADJ
fcis-12005	16	19	labor	labor	NOUN
fcis-12005	16	20	,	,	PUNCT
fcis-12005	16	21	exacerbating	exacerbate	VERB
fcis-12005	16	22	the	the	DET
fcis-12005	16	23	aging	age	VERB
fcis-12005	16	24	phenomenon	phenomenon	NOUN
fcis-12005	16	25	of	of	ADP
fcis-12005	16	26	rural	rural	ADJ
fcis-12005	16	27	population	population	NOUN
fcis-12005	16	28	,	,	PUNCT
fcis-12005	16	29	and	and	CCONJ
fcis-12005	16	30	leading	lead	VERB
fcis-12005	16	31	to	to	ADP
fcis-12005	16	32	issues	issue	NOUN
fcis-12005	16	33	such	such	ADJ
fcis-12005	16	34	as	as	ADP
fcis-12005	16	35	farmland	farmland	NOUN
fcis-12005	16	36	conversion	conversion	NOUN
fcis-12005	16	37	,	,	PUNCT
fcis-12005	16	38	abandonment	abandonment	NOUN
fcis-12005	16	39	,	,	PUNCT
fcis-12005	16	40	and	and	CCONJ
fcis-12005	16	41	abandonment	abandonment	NOUN
fcis-12005	16	42	.	.	PUNCT
fcis-12005	17	1	secondly	secondly	ADV
fcis-12005	17	2	,	,	PUNCT
fcis-12005	17	3	the	the	DET
fcis-12005	17	4	rapid	rapid	ADJ
fcis-12005	17	5	development	development	NOUN
fcis-12005	17	6	of	of	ADP
fcis-12005	17	7	urbanization	urbanization	NOUN
fcis-12005	17	8	may	may	AUX
fcis-12005	17	9	also	also	ADV
fcis-12005	17	10	lead	lead	VERB
fcis-12005	17	11	to	to	ADP
fcis-12005	17	12	a	a	DET
fcis-12005	17	13	series	series	NOUN
fcis-12005	17	14	of	of	ADP
fcis-12005	17	15	serious	serious	ADJ
fcis-12005	17	16	environmental	environmental	ADJ
fcis-12005	17	17	problems	problem	NOUN
fcis-12005	17	18	.	.	PUNCT
fcis-12005	18	1	for	for	ADP
fcis-12005	18	2	example	example	NOUN
fcis-12005	18	3	,	,	PUNCT
fcis-12005	18	4	despite	despite	SCONJ
fcis-12005	18	5	rapid	rapid	ADJ
fcis-12005	18	6	population	population	NOUN
fcis-12005	18	7	growth	growth	NOUN
fcis-12005	18	8	in	in	ADP
fcis-12005	18	9	cities	city	NOUN
fcis-12005	18	10	,	,	PUNCT
fcis-12005	18	11	problems	problem	NOUN
fcis-12005	18	12	such	such	ADJ
fcis-12005	18	13	as	as	ADP
fcis-12005	18	14	water	water	NOUN
fcis-12005	18	15	scarcity	scarcity	NOUN
fcis-12005	18	16	,	,	PUNCT
fcis-12005	18	17	land	land	NOUN
fcis-12005	18	18	scarcity	scarcity	NOUN
fcis-12005	18	19	,	,	PUNCT
fcis-12005	18	20	and	and	CCONJ
fcis-12005	18	21	inadequate	inadequate	ADJ
fcis-12005	18	22	sanitation	sanitation	NOUN
fcis-12005	18	23	facilities	facility	NOUN
fcis-12005	18	24	still	still	ADV
fcis-12005	18	25	exist	exist	VERB
fcis-12005	18	26	,	,	PUNCT
fcis-12005	18	27	further	far	ADV
fcis-12005	18	28	exacerbating	exacerbate	VERB
fcis-12005	18	29	the	the	DET
fcis-12005	18	30	ecological	ecological	ADJ
fcis-12005	18	31	pressure	pressure	NOUN
fcis-12005	18	32	on	on	ADP
fcis-12005	18	33	the	the	DET
fcis-12005	18	34	urban	urban	ADJ
fcis-12005	18	35	environment	environment	NOUN
fcis-12005	18	36	.	.	PUNCT
fcis-12005	19	1	in	in	ADP
fcis-12005	19	2	addition	addition	NOUN
fcis-12005	19	3	,	,	PUNCT
fcis-12005	19	4	urban	urban	ADJ
fcis-12005	19	5	population	population	NOUN
fcis-12005	19	6	has	have	VERB
fcis-12005	19	7	heterogeneity	heterogeneity	NOUN
fcis-12005	19	8	and	and	CCONJ
fcis-12005	19	9	complex	complex	ADJ
fcis-12005	19	10	spatial	spatial	ADJ
fcis-12005	19	11	patterns	pattern	NOUN
fcis-12005	19	12	in	in	ADP
fcis-12005	19	13	space	space	NOUN
fcis-12005	19	14	,	,	PUNCT
fcis-12005	19	15	which	which	PRON
fcis-12005	19	16	poses	pose	VERB
fcis-12005	19	17	difficulties	difficulty	NOUN
fcis-12005	19	18	in	in	ADP
fcis-12005	19	19	scientifically	scientifically	ADV
fcis-12005	19	20	understanding	understand	VERB
fcis-12005	19	21	the	the	DET
fcis-12005	19	22	contradictions	contradiction	NOUN
fcis-12005	19	23	between	between	ADP
fcis-12005	19	24	people	people	NOUN
fcis-12005	19	25	and	and	CCONJ
fcis-12005	19	26	land	land	NOUN
fcis-12005	19	27	within	within	ADP
fcis-12005	19	28	cities	city	NOUN
fcis-12005	19	29	and	and	CCONJ
fcis-12005	19	30	solving	solve	VERB
fcis-12005	19	31	urban	urban	ADJ
fcis-12005	19	32	problems	problem	NOUN
fcis-12005	19	33	.	.	PUNCT
fcis-12005	20	1	population	population	NOUN
fcis-12005	20	2	data	datum	NOUN
fcis-12005	20	3	is	be	AUX
fcis-12005	20	4	an	an	DET
fcis-12005	20	5	important	important	ADJ
fcis-12005	20	6	basic	basic	ADJ
fcis-12005	20	7	data	datum	NOUN
fcis-12005	20	8	for	for	ADP
fcis-12005	20	9	studying	study	VERB
fcis-12005	20	10	fields	field	NOUN
fcis-12005	20	11	such	such	ADJ
fcis-12005	20	12	as	as	ADP
fcis-12005	20	13	socio	socio	NOUN
fcis-12005	20	14	-	-	PUNCT
fcis-12005	20	15	economic	economic	ADJ
fcis-12005	20	16	and	and	CCONJ
fcis-12005	20	17	human	human	ADJ
fcis-12005	20	18	geography	geography	NOUN
fcis-12005	20	19	[	[	X
fcis-12005	20	20	6	6	NUM
fcis-12005	20	21	]	]	PUNCT
fcis-12005	20	22	.	.	PUNCT
fcis-12005	21	1	however	however	ADV
fcis-12005	21	2	,	,	PUNCT
fcis-12005	21	3	traditional	traditional	ADJ
fcis-12005	21	4	population	population	NOUN
fcis-12005	21	5	statistics	statistic	NOUN
fcis-12005	21	6	in	in	ADP
fcis-12005	21	7	china	china	PROPN
fcis-12005	21	8	are	be	AUX
fcis-12005	21	9	conducted	conduct	VERB
fcis-12005	21	10	every	every	DET
fcis-12005	21	11	ten	ten	NUM
fcis-12005	21	12	years	year	NOUN
fcis-12005	21	13	,	,	PUNCT
fcis-12005	21	14	and	and	CCONJ
fcis-12005	21	15	the	the	DET
fcis-12005	21	16	smallest	small	ADJ
fcis-12005	21	17	administrative	administrative	ADJ
fcis-12005	21	18	unit	unit	NOUN
fcis-12005	21	19	for	for	ADP
fcis-12005	21	20	statistics	statistic	NOUN
fcis-12005	21	21	is	be	AUX
fcis-12005	21	22	townships	township	NOUN
fcis-12005	21	23	.	.	PUNCT
fcis-12005	22	1	therefore	therefore	ADV
fcis-12005	22	2	,	,	PUNCT
fcis-12005	22	3	the	the	DET
fcis-12005	22	4	annual	annual	ADJ
fcis-12005	22	5	resident	resident	ADJ
fcis-12005	22	6	population	population	NOUN
fcis-12005	22	7	statistics	statistic	NOUN
fcis-12005	22	8	are	be	AUX
fcis-12005	22	9	recorded	record	VERB
fcis-12005	22	10	in	in	ADP
fcis-12005	22	11	the	the	DET
fcis-12005	22	12	form	form	NOUN
fcis-12005	22	13	of	of	ADP
fcis-12005	22	14	yearbooks	yearbook	NOUN
fcis-12005	22	15	,	,	PUNCT
fcis-12005	22	16	making	make	VERB
fcis-12005	22	17	it	it	PRON
fcis-12005	22	18	difficult	difficult	ADJ
fcis-12005	22	19	to	to	PART
fcis-12005	22	20	express	express	VERB
fcis-12005	22	21	the	the	DET
fcis-12005	22	22	spatial	spatial	ADJ
fcis-12005	22	23	attributes	attribute	NOUN
fcis-12005	22	24	of	of	ADP
fcis-12005	22	25	the	the	DET
fcis-12005	22	26	data	datum	NOUN
fcis-12005	22	27	.	.	PUNCT
fcis-12005	23	1	this	this	DET
fcis-12005	23	2	situation	situation	NOUN
fcis-12005	23	3	results	result	VERB
fcis-12005	23	4	in	in	ADP
fcis-12005	23	5	a	a	DET
fcis-12005	23	6	long	long	ADJ
fcis-12005	23	7	data	data	NOUN
fcis-12005	23	8	update	update	NOUN
fcis-12005	23	9	cycle	cycle	NOUN
fcis-12005	23	10	and	and	CCONJ
fcis-12005	23	11	difficulty	difficulty	NOUN
fcis-12005	23	12	in	in	ADP
fcis-12005	23	13	obtaining	obtain	VERB
fcis-12005	23	14	real	real	ADJ
fcis-12005	23	15	-	-	PUNCT
fcis-12005	23	16	time	time	NOUN
fcis-12005	23	17	data	datum	NOUN
fcis-12005	23	18	.	.	PUNCT
fcis-12005	24	1	with	with	ADP
fcis-12005	24	2	the	the	DET
fcis-12005	24	3	development	development	NOUN
fcis-12005	24	4	of	of	ADP
fcis-12005	24	5	geospatial	geospatial	ADJ
fcis-12005	24	6	technology	technology	NOUN
fcis-12005	24	7	,	,	PUNCT
fcis-12005	24	8	many	many	ADJ
fcis-12005	24	9	basic	basic	ADJ
fcis-12005	24	10	analytical	analytical	ADJ
fcis-12005	24	11	data	datum	NOUN
fcis-12005	24	12	have	have	VERB
fcis-12005	24	13	spatial	spatial	ADJ
fcis-12005	24	14	attributes	attribute	NOUN
fcis-12005	24	15	.	.	PUNCT
fcis-12005	25	1	the	the	DET
fcis-12005	25	2	low	low	ADJ
fcis-12005	25	3	spatiotemporal	spatiotemporal	ADJ
fcis-12005	25	4	resolution	resolution	NOUN
fcis-12005	25	5	of	of	ADP
fcis-12005	25	6	traditional	traditional	ADJ
fcis-12005	25	7	population	population	NOUN
fcis-12005	25	8	data	datum	NOUN
fcis-12005	25	9	makes	make	VERB
fcis-12005	25	10	it	it	PRON
fcis-12005	25	11	unsuitable	unsuitable	ADJ
fcis-12005	25	12	for	for	ADP
fcis-12005	25	13	spatial	spatial	ADJ
fcis-12005	25	14	analysis	analysis	NOUN
fcis-12005	25	15	,	,	PUNCT
fcis-12005	25	16	which	which	PRON
fcis-12005	25	17	poses	pose	VERB
fcis-12005	25	18	scientific	scientific	ADJ
fcis-12005	25	19	difficulties	difficulty	NOUN
fcis-12005	25	20	in	in	ADP
fcis-12005	25	21	understanding	understand	VERB
fcis-12005	25	22	the	the	DET
fcis-12005	25	23	natural	natural	ADJ
fcis-12005	25	24	and	and	CCONJ
fcis-12005	25	25	social	social	ADJ
fcis-12005	25	26	coupling	coupling	NOUN
fcis-12005	25	27	mechanisms	mechanism	NOUN
fcis-12005	25	28	of	of	ADP
fcis-12005	25	29	sustainable	sustainable	ADJ
fcis-12005	25	30	development	development	NOUN
fcis-12005	25	31	at	at	ADP
fcis-12005	25	32	multiple	multiple	ADJ
fcis-12005	25	33	scales	scale	NOUN
fcis-12005	25	34	.	.	PUNCT
fcis-12005	26	1	with	with	ADP
fcis-12005	26	2	the	the	DET
fcis-12005	26	3	development	development	NOUN
fcis-12005	26	4	of	of	ADP
fcis-12005	26	5	geospatial	geospatial	ADJ
fcis-12005	26	6	technology	technology	NOUN
fcis-12005	26	7	,	,	PUNCT
fcis-12005	26	8	many	many	ADJ
fcis-12005	26	9	basic	basic	ADJ
fcis-12005	26	10	analytical	analytical	ADJ
fcis-12005	26	11	data	datum	NOUN
fcis-12005	26	12	have	have	VERB
fcis-12005	26	13	spatial	spatial	ADJ
fcis-12005	26	14	attributes	attribute	NOUN
fcis-12005	26	15	.	.	PUNCT
fcis-12005	27	1	the	the	DET
fcis-12005	27	2	low	low	ADJ
fcis-12005	27	3	spatiotemporal	spatiotemporal	ADJ
fcis-12005	27	4	resolution	resolution	NOUN
fcis-12005	27	5	of	of	ADP
fcis-12005	27	6	traditional	traditional	ADJ
fcis-12005	27	7	population	population	NOUN
fcis-12005	27	8	data	datum	NOUN
fcis-12005	27	9	makes	make	VERB
fcis-12005	27	10	it	it	PRON
fcis-12005	27	11	unsuitable	unsuitable	ADJ
fcis-12005	27	12	for	for	ADP
fcis-12005	27	13	spatial	spatial	ADJ
fcis-12005	27	14	analysis	analysis	NOUN
fcis-12005	27	15	,	,	PUNCT
fcis-12005	27	16	which	which	PRON
fcis-12005	27	17	poses	pose	VERB
fcis-12005	27	18	scientific	scientific	ADJ
fcis-12005	27	19	difficulties	difficulty	NOUN
fcis-12005	27	20	in	in	ADP
fcis-12005	27	21	understanding	understand	VERB
fcis-12005	27	22	the	the	DET
fcis-12005	27	23	natural	natural	ADJ
fcis-12005	27	24	and	and	CCONJ
fcis-12005	27	25	social	social	ADJ
fcis-12005	27	26	coupling	coupling	NOUN
fcis-12005	27	27	mechanisms	mechanism	NOUN
fcis-12005	27	28	of	of	ADP
fcis-12005	27	29	sustainable	sustainable	ADJ
fcis-12005	27	30	development	development	NOUN
fcis-12005	27	31	at	at	ADP
fcis-12005	27	32	multiple	multiple	ADJ
fcis-12005	27	33	scales	scale	NOUN
fcis-12005	27	34	.	.	PUNCT
fcis-12005	28	1	2	2	X
fcis-12005	28	2	.	.	X
fcis-12005	28	3	research	research	NOUN
fcis-12005	28	4	on	on	ADP
fcis-12005	28	5	population	population	NOUN
fcis-12005	28	6	simulation	simulation	NOUN
fcis-12005	28	7	based	base	VERB
fcis-12005	28	8	on	on	ADP
fcis-12005	28	9	random	random	ADJ
fcis-12005	28	10	forest	forest	NOUN
fcis-12005	28	11	algorithm	algorithm	NOUN
fcis-12005	28	12	2.1	2.1	NUM
fcis-12005	28	13	.	.	PUNCT
fcis-12005	29	1	random	random	ADJ
fcis-12005	29	2	forest	forest	NOUN
fcis-12005	29	3	figure	figure	NOUN
fcis-12005	29	4	1	1	NUM
fcis-12005	29	5	.	.	X
fcis-12005	29	6	working	work	VERB
fcis-12005	29	7	process	process	NOUN
fcis-12005	29	8	of	of	ADP
fcis-12005	29	9	random	random	ADJ
fcis-12005	29	10	forest	forest	NOUN
fcis-12005	29	11	random	random	ADJ
fcis-12005	29	12	forest	forest	NOUN
fcis-12005	29	13	is	be	AUX
fcis-12005	29	14	the	the	DET
fcis-12005	29	15	construction	construction	NOUN
fcis-12005	29	16	of	of	ADP
fcis-12005	29	17	multiple	multiple	ADJ
fcis-12005	29	18	decision	decision	NOUN
fcis-12005	29	19	trees	tree	NOUN
fcis-12005	29	20	108	108	NUM
fcis-12005	29	21	based	base	VERB
fcis-12005	29	22	on	on	ADP
fcis-12005	29	23	decision	decision	NOUN
fcis-12005	29	24	trees	tree	NOUN
fcis-12005	29	25	by	by	ADP
fcis-12005	29	26	randomly	randomly	ADV
fcis-12005	29	27	selecting	select	VERB
fcis-12005	29	28	several	several	ADJ
fcis-12005	29	29	features	feature	NOUN
fcis-12005	29	30	from	from	ADP
fcis-12005	29	31	samples	sample	NOUN
fcis-12005	29	32	.	.	PUNCT
fcis-12005	30	1	random	random	ADJ
fcis-12005	30	2	sample	sample	NOUN
fcis-12005	30	3	selection	selection	NOUN
fcis-12005	30	4	makes	make	VERB
fcis-12005	30	5	the	the	DET
fcis-12005	30	6	model	model	NOUN
fcis-12005	30	7	stochastic	stochastic	NOUN
fcis-12005	30	8	and	and	CCONJ
fcis-12005	30	9	improves	improve	VERB
fcis-12005	30	10	the	the	DET
fcis-12005	30	11	problem	problem	NOUN
fcis-12005	30	12	of	of	ADP
fcis-12005	30	13	overfitting	overfitting	NOUN
fcis-12005	30	14	caused	cause	VERB
fcis-12005	30	15	by	by	ADP
fcis-12005	30	16	the	the	DET
fcis-12005	30	17	inability	inability	NOUN
fcis-12005	30	18	to	to	PART
fcis-12005	30	19	control	control	VERB
fcis-12005	30	20	the	the	DET
fcis-12005	30	21	depth	depth	NOUN
fcis-12005	30	22	of	of	ADP
fcis-12005	30	23	the	the	DET
fcis-12005	30	24	tree	tree	NOUN
fcis-12005	30	25	in	in	ADP
fcis-12005	30	26	the	the	DET
fcis-12005	30	27	decision	decision	NOUN
fcis-12005	30	28	tree	tree	NOUN
fcis-12005	30	29	.	.	PUNCT
fcis-12005	31	1	the	the	DET
fcis-12005	31	2	main	main	ADJ
fcis-12005	31	3	core	core	NOUN
fcis-12005	31	4	idea	idea	NOUN
fcis-12005	31	5	is	be	AUX
fcis-12005	31	6	to	to	PART
fcis-12005	31	7	select	select	VERB
fcis-12005	31	8	the	the	DET
fcis-12005	31	9	best	good	ADJ
fcis-12005	31	10	classified	classified	ADJ
fcis-12005	31	11	tree	tree	NOUN
fcis-12005	31	12	from	from	ADP
fcis-12005	31	13	multiple	multiple	ADJ
fcis-12005	31	14	decision	decision	NOUN
fcis-12005	31	15	trees	tree	NOUN
fcis-12005	31	16	constructed	construct	VERB
fcis-12005	31	17	as	as	ADP
fcis-12005	31	18	the	the	DET
fcis-12005	31	19	output	output	NOUN
fcis-12005	31	20	result	result	VERB
fcis-12005	31	21	.	.	PUNCT
fcis-12005	32	1	the	the	DET
fcis-12005	32	2	working	work	VERB
fcis-12005	32	3	process	process	NOUN
fcis-12005	32	4	of	of	ADP
fcis-12005	32	5	a	a	DET
fcis-12005	32	6	random	random	ADJ
fcis-12005	32	7	forest	forest	NOUN
fcis-12005	32	8	is	be	AUX
fcis-12005	32	9	shown	show	VERB
fcis-12005	32	10	in	in	ADP
fcis-12005	32	11	the	the	DET
fcis-12005	32	12	figure	figure	NOUN
fcis-12005	32	13	[	[	X
fcis-12005	32	14	7	7	NUM
fcis-12005	32	15	]	]	PUNCT
fcis-12005	32	16	.	.	PUNCT
fcis-12005	33	1	(	(	PUNCT
fcis-12005	33	2	figure	figure	NOUN
fcis-12005	33	3	1	1	NUM
fcis-12005	33	4	.	.	PUNCT
fcis-12005	33	5	)	)	PUNCT
fcis-12005	34	1	2.2	2.2	NUM
fcis-12005	34	2	.	.	PUNCT
fcis-12005	34	3	overview	overview	NOUN
fcis-12005	34	4	of	of	ADP
fcis-12005	34	5	the	the	DET
fcis-12005	34	6	study	study	NOUN
fcis-12005	34	7	area	area	NOUN
fcis-12005	34	8	this	this	DET
fcis-12005	34	9	study	study	NOUN
fcis-12005	34	10	selected	select	VERB
fcis-12005	34	11	guizhou	guizhou	PROPN
fcis-12005	34	12	province	province	PROPN
fcis-12005	34	13	,	,	PUNCT
fcis-12005	34	14	china	china	PROPN
fcis-12005	34	15	as	as	ADP
fcis-12005	34	16	the	the	DET
fcis-12005	34	17	research	research	NOUN
fcis-12005	34	18	area	area	NOUN
fcis-12005	34	19	.	.	PUNCT
fcis-12005	35	1	guizhou	guizhou	NOUN
fcis-12005	35	2	province	province	PROPN
fcis-12005	35	3	is	be	AUX
fcis-12005	35	4	a	a	DET
fcis-12005	35	5	provincial	provincial	ADJ
fcis-12005	35	6	-	-	PUNCT
fcis-12005	35	7	level	level	NOUN
fcis-12005	35	8	administrative	administrative	ADJ
fcis-12005	35	9	region	region	NOUN
fcis-12005	35	10	in	in	ADP
fcis-12005	35	11	china	china	PROPN
fcis-12005	35	12	,	,	PUNCT
fcis-12005	35	13	located	locate	VERB
fcis-12005	35	14	in	in	ADP
fcis-12005	35	15	the	the	DET
fcis-12005	35	16	hinterland	hinterland	NOUN
fcis-12005	35	17	of	of	ADP
fcis-12005	35	18	the	the	DET
fcis-12005	35	19	southwestern	southwestern	ADJ
fcis-12005	35	20	inland	inland	NOUN
fcis-12005	35	21	region	region	NOUN
fcis-12005	35	22	.	.	PUNCT
fcis-12005	36	1	it	it	PRON
fcis-12005	36	2	is	be	AUX
fcis-12005	36	3	a	a	DET
fcis-12005	36	4	transportation	transportation	NOUN
fcis-12005	36	5	hub	hub	NOUN
fcis-12005	36	6	and	and	CCONJ
fcis-12005	36	7	an	an	DET
fcis-12005	36	8	important	important	ADJ
fcis-12005	36	9	component	component	NOUN
fcis-12005	36	10	of	of	ADP
fcis-12005	36	11	the	the	DET
fcis-12005	36	12	yangtze	yangtze	PROPN
fcis-12005	36	13	river	river	PROPN
fcis-12005	36	14	economic	economic	ADJ
fcis-12005	36	15	belt	belt	NOUN
fcis-12005	36	16	.	.	PUNCT
fcis-12005	37	1	guizhou	guizhou	NOUN
fcis-12005	37	2	is	be	AUX
fcis-12005	37	3	located	locate	VERB
fcis-12005	37	4	between	between	ADP
fcis-12005	37	5	24	24	NUM
fcis-12005	37	6	°	°	PROPN
fcis-12005	37	7	37′～29	37′～29	NUM
fcis-12005	37	8	°	°	PROPN
fcis-12005	37	9	13′.	13′.	PROPN
fcis-12005	37	10	north	north	NOUN
fcis-12005	37	11	latitude	latitude	NOUN
fcis-12005	37	12	and	and	CCONJ
fcis-12005	37	13	103	103	NUM
fcis-12005	37	14	°	°	NOUN
fcis-12005	37	15	36′～109	36′～109	NUM
fcis-12005	37	16	°	°	NOUN
fcis-12005	37	17	35′east	35′east	NUM
fcis-12005	37	18	longitude	longitude	NOUN
fcis-12005	37	19	,	,	PUNCT
fcis-12005	37	20	adjacent	adjacent	ADJ
fcis-12005	37	21	to	to	ADP
fcis-12005	37	22	provinces	province	NOUN
fcis-12005	37	23	such	such	ADJ
fcis-12005	37	24	as	as	ADP
fcis-12005	37	25	sichuan	sichuan	PROPN
fcis-12005	37	26	,	,	PUNCT
fcis-12005	37	27	chongqing	chongqing	PROPN
fcis-12005	37	28	,	,	PUNCT
fcis-12005	37	29	hunan	hunan	PROPN
fcis-12005	37	30	,	,	PUNCT
fcis-12005	37	31	guangxi	guangxi	PROPN
fcis-12005	37	32	,	,	PUNCT
fcis-12005	37	33	and	and	CCONJ
fcis-12005	37	34	yunnan	yunnan	NOUN
fcis-12005	37	35	.	.	PUNCT
fcis-12005	38	1	the	the	DET
fcis-12005	38	2	landforms	landform	NOUN
fcis-12005	38	3	of	of	ADP
fcis-12005	38	4	guizhou	guizhou	NOUN
fcis-12005	38	5	are	be	AUX
fcis-12005	38	6	mainly	mainly	ADV
fcis-12005	38	7	composed	compose	VERB
fcis-12005	38	8	of	of	ADP
fcis-12005	38	9	plateaus	plateaus	NOUN
fcis-12005	38	10	,	,	PUNCT
fcis-12005	38	11	mountains	mountain	NOUN
fcis-12005	38	12	,	,	PUNCT
fcis-12005	38	13	hills	hill	NOUN
fcis-12005	38	14	,	,	PUNCT
fcis-12005	38	15	and	and	CCONJ
fcis-12005	38	16	basins	basin	NOUN
fcis-12005	38	17	,	,	PUNCT
fcis-12005	38	18	with	with	ADP
fcis-12005	38	19	92.5	92.5	NUM
fcis-12005	38	20	%	%	NOUN
fcis-12005	38	21	of	of	ADP
fcis-12005	38	22	the	the	DET
fcis-12005	38	23	area	area	NOUN
fcis-12005	38	24	being	be	AUX
fcis-12005	38	25	mountainous	mountainous	ADJ
fcis-12005	38	26	and	and	CCONJ
fcis-12005	38	27	hilly	hilly	ADV
fcis-12005	38	28	.	.	PUNCT
fcis-12005	39	1	with	with	ADP
fcis-12005	39	2	a	a	DET
fcis-12005	39	3	total	total	ADJ
fcis-12005	39	4	area	area	NOUN
fcis-12005	39	5	of	of	ADP
fcis-12005	39	6	about	about	ADV
fcis-12005	39	7	176000	176000	NUM
fcis-12005	39	8	square	square	ADJ
fcis-12005	39	9	kilometers	kilometer	NOUN
fcis-12005	39	10	,	,	PUNCT
fcis-12005	39	11	guizhou	guizhou	NOUN
fcis-12005	39	12	has	have	VERB
fcis-12005	39	13	a	a	DET
fcis-12005	39	14	subtropical	subtropical	ADJ
fcis-12005	39	15	monsoon	monsoon	NOUN
fcis-12005	39	16	climate	climate	NOUN
fcis-12005	39	17	and	and	CCONJ
fcis-12005	39	18	two	two	NUM
fcis-12005	39	19	major	major	ADJ
fcis-12005	39	20	water	water	NOUN
fcis-12005	39	21	systems	system	NOUN
fcis-12005	39	22	,	,	PUNCT
fcis-12005	39	23	namely	namely	ADV
fcis-12005	39	24	,	,	PUNCT
fcis-12005	39	25	the	the	DET
fcis-12005	39	26	yangtze	yangtze	PROPN
fcis-12005	39	27	river	river	PROPN
fcis-12005	39	28	and	and	CCONJ
fcis-12005	39	29	the	the	DET
fcis-12005	39	30	pearl	pearl	NOUN
fcis-12005	39	31	river	river	NOUN
fcis-12005	39	32	.	.	PUNCT
fcis-12005	40	1	as	as	ADP
fcis-12005	40	2	of	of	ADP
fcis-12005	40	3	march	march	PROPN
fcis-12005	40	4	31	31	NUM
fcis-12005	40	5	,	,	PUNCT
fcis-12005	40	6	2021	2021	NUM
fcis-12005	40	7	,	,	PUNCT
fcis-12005	40	8	guizhou	guizhou	NOUN
fcis-12005	40	9	province	province	NOUN
fcis-12005	40	10	has	have	VERB
fcis-12005	40	11	a	a	DET
fcis-12005	40	12	total	total	NOUN
fcis-12005	40	13	of	of	ADP
fcis-12005	40	14	6	6	NUM
fcis-12005	40	15	prefecture	prefecture	NOUN
fcis-12005	40	16	level	level	NOUN
fcis-12005	40	17	cities	city	NOUN
fcis-12005	40	18	,	,	PUNCT
fcis-12005	40	19	3	3	NUM
fcis-12005	40	20	autonomous	autonomous	ADJ
fcis-12005	40	21	prefectures	prefecture	NOUN
fcis-12005	40	22	,	,	PUNCT
fcis-12005	40	23	and	and	CCONJ
fcis-12005	40	24	10	10	NUM
fcis-12005	40	25	county	county	NOUN
fcis-12005	40	26	-	-	PUNCT
fcis-12005	40	27	level	level	NOUN
fcis-12005	40	28	cities	city	NOUN
fcis-12005	40	29	,	,	PUNCT
fcis-12005	40	30	50	50	NUM
fcis-12005	40	31	counties	county	NOUN
fcis-12005	40	32	,	,	PUNCT
fcis-12005	40	33	11	11	NUM
fcis-12005	40	34	autonomous	autonomous	ADJ
fcis-12005	40	35	counties	county	NOUN
fcis-12005	40	36	,	,	PUNCT
fcis-12005	40	37	1	1	NUM
fcis-12005	40	38	special	special	ADJ
fcis-12005	40	39	zone	zone	NOUN
fcis-12005	40	40	,	,	PUNCT
fcis-12005	40	41	16	16	NUM
fcis-12005	40	42	districts	district	NOUN
fcis-12005	40	43	,	,	PUNCT
fcis-12005	40	44	and	and	CCONJ
fcis-12005	40	45	other	other	ADJ
fcis-12005	40	46	county	county	NOUN
fcis-12005	40	47	-	-	PUNCT
fcis-12005	40	48	level	level	NOUN
fcis-12005	40	49	administrative	administrative	ADJ
fcis-12005	40	50	regions	region	NOUN
fcis-12005	40	51	.	.	PUNCT
fcis-12005	41	1	in	in	ADP
fcis-12005	41	2	addition	addition	NOUN
fcis-12005	41	3	,	,	PUNCT
fcis-12005	41	4	there	there	PRON
fcis-12005	41	5	are	be	VERB
fcis-12005	41	6	a	a	DET
fcis-12005	41	7	total	total	NOUN
fcis-12005	41	8	of	of	ADP
fcis-12005	41	9	1509	1509	NUM
fcis-12005	41	10	towns	town	NOUN
fcis-12005	41	11	,	,	PUNCT
fcis-12005	41	12	122	122	NUM
fcis-12005	41	13	townships	township	NOUN
fcis-12005	41	14	,	,	PUNCT
fcis-12005	41	15	193	193	NUM
fcis-12005	41	16	ethnic	ethnic	ADJ
fcis-12005	41	17	townships	township	NOUN
fcis-12005	41	18	,	,	PUNCT
fcis-12005	41	19	362	362	NUM
fcis-12005	41	20	streets	street	NOUN
fcis-12005	41	21	,	,	PUNCT
fcis-12005	41	22	etc	etc	X
fcis-12005	41	23	.	.	X
fcis-12005	41	24	as	as	ADP
fcis-12005	41	25	of	of	ADP
fcis-12005	41	26	2021	2021	NUM
fcis-12005	41	27	,	,	PUNCT
fcis-12005	41	28	the	the	DET
fcis-12005	41	29	permanent	permanent	ADJ
fcis-12005	41	30	population	population	NOUN
fcis-12005	41	31	of	of	ADP
fcis-12005	41	32	guizhou	guizhou	PROPN
fcis-12005	41	33	province	province	PROPN
fcis-12005	41	34	is	be	AUX
fcis-12005	41	35	approximately	approximately	ADV
fcis-12005	41	36	38.52	38.52	NUM
fcis-12005	41	37	million	million	NUM
fcis-12005	41	38	.	.	PUNCT
fcis-12005	42	1	(	(	PUNCT
fcis-12005	42	2	figure	figure	NOUN
fcis-12005	42	3	2	2	NUM
fcis-12005	42	4	.	.	PUNCT
fcis-12005	42	5	)	)	PUNCT
fcis-12005	42	6	figure	figure	NOUN
fcis-12005	42	7	2	2	NUM
fcis-12005	42	8	.	.	PUNCT
fcis-12005	42	9	guizhou	guizhou	NOUN
fcis-12005	42	10	map	map	PROPN
fcis-12005	42	11	area	area	NOUN
fcis-12005	42	12	2.3	2.3	NUM
fcis-12005	42	13	.	.	PUNCT
fcis-12005	43	1	data	datum	NOUN
fcis-12005	43	2	preprocessing	preprocesse	VERB
fcis-12005	43	3	the	the	DET
fcis-12005	43	4	original	original	ADJ
fcis-12005	43	5	data	datum	NOUN
fcis-12005	43	6	of	of	ADP
fcis-12005	43	7	this	this	DET
fcis-12005	43	8	article	article	NOUN
fcis-12005	43	9	is	be	AUX
fcis-12005	43	10	vector	vector	NOUN
fcis-12005	43	11	,	,	PUNCT
fcis-12005	43	12	raster	raster	NOUN
fcis-12005	43	13	,	,	PUNCT
fcis-12005	43	14	and	and	CCONJ
fcis-12005	43	15	various	various	ADJ
fcis-12005	43	16	text	text	NOUN
fcis-12005	43	17	data	datum	NOUN
fcis-12005	43	18	.	.	PUNCT
fcis-12005	44	1	due	due	ADP
fcis-12005	44	2	to	to	ADP
fcis-12005	44	3	the	the	DET
fcis-12005	44	4	fact	fact	NOUN
fcis-12005	44	5	that	that	SCONJ
fcis-12005	44	6	these	these	DET
fcis-12005	44	7	data	datum	NOUN
fcis-12005	44	8	belong	belong	VERB
fcis-12005	44	9	to	to	ADP
fcis-12005	44	10	different	different	ADJ
fcis-12005	44	11	resolutions	resolution	NOUN
fcis-12005	44	12	and	and	CCONJ
fcis-12005	44	13	coordinate	coordinate	NOUN
fcis-12005	44	14	systems	system	NOUN
fcis-12005	44	15	,	,	PUNCT
fcis-12005	44	16	it	it	PRON
fcis-12005	44	17	is	be	AUX
fcis-12005	44	18	necessary	necessary	ADJ
fcis-12005	44	19	to	to	PART
fcis-12005	44	20	preprocess	preprocess	VERB
fcis-12005	44	21	these	these	DET
fcis-12005	44	22	data	datum	NOUN
fcis-12005	44	23	.	.	PUNCT
fcis-12005	45	1	utilize	utilize	VERB
fcis-12005	45	2	arcgis	arcgis	PROPN
fcis-12005	45	3	to	to	PART
fcis-12005	45	4	process	process	VERB
fcis-12005	45	5	vector	vector	NOUN
fcis-12005	45	6	and	and	CCONJ
fcis-12005	45	7	raster	raster	NOUN
fcis-12005	45	8	data	datum	NOUN
fcis-12005	45	9	with	with	ADP
fcis-12005	45	10	spatial	spatial	ADJ
fcis-12005	45	11	attributes	attribute	NOUN
fcis-12005	45	12	,	,	PUNCT
fcis-12005	45	13	use	use	NOUN
fcis-12005	45	14	excel	excel	NOUN
fcis-12005	45	15	2016	2016	NUM
fcis-12005	45	16	and	and	CCONJ
fcis-12005	45	17	origin	origin	VERB
fcis-12005	45	18	8	8	NUM
fcis-12005	45	19	to	to	PART
fcis-12005	45	20	process	process	VERB
fcis-12005	45	21	chart	chart	NOUN
fcis-12005	45	22	data	datum	NOUN
fcis-12005	45	23	,	,	PUNCT
fcis-12005	45	24	and	and	CCONJ
fcis-12005	45	25	use	use	VERB
fcis-12005	45	26	python	python	NOUN
fcis-12005	45	27	language	language	NOUN
fcis-12005	45	28	to	to	PART
fcis-12005	45	29	support	support	VERB
fcis-12005	45	30	calling	call	VERB
fcis-12005	45	31	the	the	DET
fcis-12005	45	32	maxminnormalization	maxminnormalization	NOUN
fcis-12005	45	33	function	function	NOUN
fcis-12005	45	34	for	for	ADP
fcis-12005	45	35	normalization	normalization	NOUN
fcis-12005	45	36	processing	processing	NOUN
fcis-12005	45	37	.	.	PUNCT
fcis-12005	46	1	data	datum	NOUN
fcis-12005	46	2	preprocessing	preprocessing	NOUN
fcis-12005	46	3	mainly	mainly	ADV
fcis-12005	46	4	includes	include	VERB
fcis-12005	46	5	the	the	DET
fcis-12005	46	6	unification	unification	NOUN
fcis-12005	46	7	of	of	ADP
fcis-12005	46	8	coordinate	coordinate	NOUN
fcis-12005	46	9	system	system	NOUN
fcis-12005	46	10	and	and	CCONJ
fcis-12005	46	11	resolution	resolution	NOUN
fcis-12005	46	12	,	,	PUNCT
fcis-12005	46	13	as	as	ADV
fcis-12005	46	14	well	well	ADV
fcis-12005	46	15	as	as	ADP
fcis-12005	46	16	the	the	DET
fcis-12005	46	17	grid	grid	NOUN
fcis-12005	46	18	processing	processing	NOUN
fcis-12005	46	19	of	of	ADP
fcis-12005	46	20	multivariate	multivariate	NOUN
fcis-12005	46	21	geospatial	geospatial	ADJ
fcis-12005	46	22	data	datum	NOUN
fcis-12005	46	23	[	[	X
fcis-12005	46	24	8,9	8,9	NUM
fcis-12005	46	25	]	]	PUNCT
fcis-12005	46	26	.	.	PUNCT
fcis-12005	47	1	the	the	DET
fcis-12005	47	2	specific	specific	ADJ
fcis-12005	47	3	steps	step	NOUN
fcis-12005	47	4	are	be	AUX
fcis-12005	47	5	as	as	SCONJ
fcis-12005	47	6	follows	follow	VERB
fcis-12005	47	7	:	:	PUNCT
fcis-12005	47	8	(	(	PUNCT
fcis-12005	47	9	1	1	X
fcis-12005	47	10	)	)	PUNCT
fcis-12005	47	11	the	the	DET
fcis-12005	47	12	unified	unified	ADJ
fcis-12005	47	13	projection	projection	NOUN
fcis-12005	47	14	coordinate	coordinate	NOUN
fcis-12005	47	15	system	system	NOUN
fcis-12005	47	16	in	in	ADP
fcis-12005	47	17	this	this	DET
fcis-12005	47	18	article	article	NOUN
fcis-12005	47	19	is	be	AUX
fcis-12005	47	20	set	set	VERB
fcis-12005	47	21	to	to	AUX
fcis-12005	47	22	wgs	wgs	VERB
fcis-12005	47	23	1984	1984	NUM
fcis-12005	47	24	utm	utm	PROPN
fcis-12005	47	25	zone	zone	NOUN
fcis-12005	47	26	49n	49n	PROPN
fcis-12005	47	27	in	in	ADP
fcis-12005	47	28	arcgis	arcgis	PROPN
fcis-12005	47	29	,	,	PUNCT
fcis-12005	47	30	which	which	PRON
fcis-12005	47	31	is	be	AUX
fcis-12005	47	32	the	the	DET
fcis-12005	47	33	horizontal	horizontal	ADJ
fcis-12005	47	34	mercator	mercator	PROPN
fcis-12005	47	35	projection	projection	PROPN
fcis-12005	47	36	,	,	PUNCT
fcis-12005	47	37	and	and	CCONJ
fcis-12005	47	38	the	the	DET
fcis-12005	47	39	data	datum	NOUN
fcis-12005	47	40	is	be	AUX
fcis-12005	47	41	matched	match	VERB
fcis-12005	47	42	with	with	ADP
fcis-12005	47	43	the	the	DET
fcis-12005	47	44	boundaries	boundary	NOUN
fcis-12005	47	45	of	of	ADP
fcis-12005	47	46	administrative	administrative	ADJ
fcis-12005	47	47	divisions	division	NOUN
fcis-12005	47	48	.	.	PUNCT
fcis-12005	48	1	(	(	PUNCT
fcis-12005	48	2	2	2	X
fcis-12005	48	3	)	)	PUNCT
fcis-12005	48	4	the	the	DET
fcis-12005	48	5	research	research	NOUN
fcis-12005	48	6	scope	scope	NOUN
fcis-12005	48	7	of	of	ADP
fcis-12005	48	8	this	this	DET
fcis-12005	48	9	article	article	NOUN
fcis-12005	48	10	is	be	AUX
fcis-12005	48	11	mainly	mainly	ADV
fcis-12005	48	12	focused	focus	VERB
fcis-12005	48	13	on	on	ADP
fcis-12005	48	14	guangxi	guangxi	PROPN
fcis-12005	48	15	zhuang	zhuang	PROPN
fcis-12005	48	16	autonomous	autonomous	PROPN
fcis-12005	48	17	region	region	PROPN
fcis-12005	48	18	,	,	PUNCT
fcis-12005	48	19	and	and	CCONJ
fcis-12005	48	20	the	the	DET
fcis-12005	48	21	spatial	spatial	ADJ
fcis-12005	48	22	analyst	analyst	NOUN
fcis-12005	48	23	tool	tool	NOUN
fcis-12005	48	24	in	in	ADP
fcis-12005	48	25	arcgis10.2	arcgis10.2	PROPN
fcis-12005	48	26	is	be	AUX
fcis-12005	48	27	used	use	VERB
fcis-12005	48	28	to	to	PART
fcis-12005	48	29	extract	extract	VERB
fcis-12005	48	30	raster	raster	NOUN
fcis-12005	48	31	data	datum	NOUN
fcis-12005	48	32	by	by	ADP
fcis-12005	48	33	mask	mask	NOUN
fcis-12005	48	34	.	.	PUNCT
fcis-12005	49	1	vector	vector	NOUN
fcis-12005	49	2	data	datum	NOUN
fcis-12005	49	3	is	be	AUX
fcis-12005	49	4	mainly	mainly	ADV
fcis-12005	49	5	cropped	crop	VERB
fcis-12005	49	6	using	use	VERB
fcis-12005	49	7	the	the	DET
fcis-12005	49	8	analysis	analysis	NOUN
fcis-12005	49	9	tool	tool	NOUN
fcis-12005	49	10	in	in	ADP
fcis-12005	49	11	arcgis10.2	arcgis10.2	PROPN
fcis-12005	49	12	to	to	PART
fcis-12005	49	13	extract	extract	VERB
fcis-12005	49	14	and	and	CCONJ
fcis-12005	49	15	analyze	analyze	VERB
fcis-12005	49	16	the	the	DET
fcis-12005	49	17	crop	crop	NOUN
fcis-12005	49	18	analysis	analysis	NOUN
fcis-12005	49	19	.	.	PUNCT
fcis-12005	50	1	3	3	X
fcis-12005	50	2	.	.	X
fcis-12005	50	3	experimentation	experimentation	NOUN
fcis-12005	50	4	random	random	ADJ
fcis-12005	50	5	forest	forest	NOUN
fcis-12005	50	6	regression	regression	NOUN
fcis-12005	50	7	model	model	NOUN
fcis-12005	50	8	is	be	AUX
fcis-12005	50	9	a	a	DET
fcis-12005	50	10	method	method	NOUN
fcis-12005	50	11	that	that	PRON
fcis-12005	50	12	can	can	AUX
fcis-12005	50	13	identify	identify	VERB
fcis-12005	50	14	the	the	DET
fcis-12005	50	15	nonlinear	nonlinear	ADJ
fcis-12005	50	16	relationship	relationship	NOUN
fcis-12005	50	17	between	between	ADP
fcis-12005	50	18	variables	variable	NOUN
fcis-12005	50	19	and	and	CCONJ
fcis-12005	50	20	predicted	predict	VERB
fcis-12005	50	21	values	value	NOUN
fcis-12005	50	22	,	,	PUNCT
fcis-12005	50	23	and	and	CCONJ
fcis-12005	50	24	accurately	accurately	ADV
fcis-12005	50	25	describe	describe	VERB
fcis-12005	50	26	the	the	DET
fcis-12005	50	27	complex	complex	ADJ
fcis-12005	50	28	relationship	relationship	NOUN
fcis-12005	50	29	between	between	ADP
fcis-12005	50	30	multi	multi	ADJ
fcis-12005	50	31	-	-	ADJ
fcis-12005	50	32	scale	scale	ADJ
fcis-12005	50	33	regression	regression	NOUN
fcis-12005	50	34	variables	variable	NOUN
fcis-12005	50	35	.	.	PUNCT
fcis-12005	51	1	this	this	DET
fcis-12005	51	2	section	section	NOUN
fcis-12005	51	3	intends	intend	VERB
fcis-12005	51	4	to	to	PART
fcis-12005	51	5	establish	establish	VERB
fcis-12005	51	6	a	a	DET
fcis-12005	51	7	multiple	multiple	ADJ
fcis-12005	51	8	linear	linear	ADJ
fcis-12005	51	9	regression	regression	NOUN
fcis-12005	51	10	model	model	NOUN
fcis-12005	51	11	for	for	ADP
fcis-12005	51	12	9	9	NUM
fcis-12005	51	13	population	population	NOUN
fcis-12005	51	14	factors	factor	NOUN
fcis-12005	51	15	and	and	CCONJ
fcis-12005	51	16	permanent	permanent	ADJ
fcis-12005	51	17	population	population	NOUN
fcis-12005	51	18	at	at	ADP
fcis-12005	51	19	the	the	DET
fcis-12005	51	20	township	township	NOUN
fcis-12005	51	21	level	level	NOUN
fcis-12005	51	22	[	[	X
fcis-12005	51	23	10,11	10,11	NOUN
fcis-12005	51	24	]	]	PUNCT
fcis-12005	51	25	,	,	PUNCT
fcis-12005	51	26	and	and	CCONJ
fcis-12005	51	27	on	on	ADP
fcis-12005	51	28	this	this	DET
fcis-12005	51	29	basis	basis	NOUN
fcis-12005	51	30	,	,	PUNCT
fcis-12005	51	31	construct	construct	VERB
fcis-12005	51	32	a	a	DET
fcis-12005	51	33	population	population	NOUN
fcis-12005	51	34	spatialization	spatialization	NOUN
fcis-12005	51	35	model	model	NOUN
fcis-12005	51	36	based	base	VERB
fcis-12005	51	37	on	on	ADP
fcis-12005	51	38	9	9	NUM
fcis-12005	51	39	population	population	NOUN
fcis-12005	51	40	factors	factor	NOUN
fcis-12005	51	41	.	.	PUNCT
fcis-12005	52	1	(	(	PUNCT
fcis-12005	52	2	figure	figure	NOUN
fcis-12005	52	3	3	3	NUM
fcis-12005	52	4	.	.	PUNCT
fcis-12005	52	5	)	)	PUNCT
fcis-12005	52	6	figure	figure	NOUN
fcis-12005	53	1	3	3	NUM
fcis-12005	53	2	.	.	PUNCT
fcis-12005	54	1	population	population	NOUN
fcis-12005	54	2	spatialization	spatialization	NOUN
fcis-12005	54	3	process	process	NOUN
fcis-12005	54	4	based	base	VERB
fcis-12005	54	5	on	on	ADP
fcis-12005	54	6	random	random	ADJ
fcis-12005	54	7	forest	forest	NOUN
fcis-12005	54	8	regression	regression	NOUN
fcis-12005	54	9	model	model	NOUN
fcis-12005	54	10	the	the	DET
fcis-12005	54	11	random	random	ADJ
fcis-12005	54	12	forest	forest	NOUN
fcis-12005	54	13	regression	regression	NOUN
fcis-12005	54	14	method	method	NOUN
fcis-12005	54	15	mainly	mainly	ADV
fcis-12005	54	16	simulates	simulate	VERB
fcis-12005	54	17	population	population	NOUN
fcis-12005	54	18	distribution	distribution	NOUN
fcis-12005	54	19	in	in	ADP
fcis-12005	54	20	the	the	DET
fcis-12005	54	21	following	follow	VERB
fcis-12005	54	22	four	four	NUM
fcis-12005	54	23	steps	step	NOUN
fcis-12005	54	24	:	:	PUNCT
fcis-12005	54	25	(	(	PUNCT
fcis-12005	54	26	1	1	X
fcis-12005	54	27	)	)	PUNCT
fcis-12005	54	28	training	training	NOUN
fcis-12005	54	29	data	datum	NOUN
fcis-12005	54	30	preparation	preparation	NOUN
fcis-12005	54	31	:	:	PUNCT
fcis-12005	54	32	this	this	DET
fcis-12005	54	33	study	study	NOUN
fcis-12005	54	34	takes	take	VERB
fcis-12005	54	35	county	county	NOUN
fcis-12005	54	36	-	-	PUNCT
fcis-12005	54	37	level	level	NOUN
fcis-12005	54	38	data	datum	NOUN
fcis-12005	54	39	of	of	ADP
fcis-12005	54	40	each	each	DET
fcis-12005	54	41	indicator	indicator	NOUN
fcis-12005	54	42	as	as	ADP
fcis-12005	54	43	the	the	DET
fcis-12005	54	44	independent	independent	ADJ
fcis-12005	54	45	variable	variable	NOUN
fcis-12005	54	46	,	,	PUNCT
fcis-12005	54	47	extracts	extract	VERB
fcis-12005	54	48	the	the	DET
fcis-12005	54	49	average	average	ADJ
fcis-12005	54	50	values	value	NOUN
fcis-12005	54	51	of	of	ADP
fcis-12005	54	52	each	each	DET
fcis-12005	54	53	factor	factor	NOUN
fcis-12005	54	54	at	at	ADP
fcis-12005	54	55	the	the	DET
fcis-12005	54	56	township	township	NOUN
fcis-12005	54	57	level	level	NOUN
fcis-12005	54	58	,	,	PUNCT
fcis-12005	54	59	and	and	CCONJ
fcis-12005	54	60	constructs	construct	VERB
fcis-12005	54	61	a	a	DET
fcis-12005	54	62	matrix	matrix	NOUN
fcis-12005	54	63	size	size	NOUN
fcis-12005	54	64	of	of	ADP
fcis-12005	54	65	88	88	NUM
fcis-12005	54	66	×	×	NOUN
fcis-12005	54	67	a	a	DET
fcis-12005	54	68	dataset	dataset	NOUN
fcis-12005	54	69	of	of	ADP
fcis-12005	54	70	9	9	NUM
fcis-12005	54	71	is	be	AUX
fcis-12005	54	72	input	input	NOUN
fcis-12005	54	73	as	as	ADP
fcis-12005	54	74	an	an	DET
fcis-12005	54	75	independent	independent	ADJ
fcis-12005	54	76	variable	variable	NOUN
fcis-12005	54	77	into	into	ADP
fcis-12005	54	78	the	the	DET
fcis-12005	54	79	random	random	ADJ
fcis-12005	54	80	forest	forest	NOUN
fcis-12005	54	81	model	model	NOUN
fcis-12005	54	82	for	for	ADP
fcis-12005	54	83	training	training	NOUN
fcis-12005	54	84	.	.	PUNCT
fcis-12005	55	1	constructing	construct	VERB
fcis-12005	55	2	88	88	NUM
fcis-12005	55	3	based	base	VERB
fcis-12005	55	4	on	on	ADP
fcis-12005	55	5	the	the	DET
fcis-12005	55	6	population	population	NOUN
fcis-12005	55	7	density	density	NOUN
fcis-12005	55	8	of	of	ADP
fcis-12005	55	9	districts	district	NOUN
fcis-12005	55	10	and	and	CCONJ
fcis-12005	55	11	counties	county	NOUN
fcis-12005	55	12	×	×	VERB
fcis-12005	55	13	a	a	DET
fcis-12005	55	14	dataset	dataset	NOUN
fcis-12005	55	15	of	of	ADP
fcis-12005	55	16	1	1	NUM
fcis-12005	55	17	is	be	AUX
fcis-12005	55	18	input	input	NOUN
fcis-12005	55	19	as	as	ADP
fcis-12005	55	20	the	the	DET
fcis-12005	55	21	dependent	dependent	ADJ
fcis-12005	55	22	variable	variable	NOUN
fcis-12005	55	23	into	into	ADP
fcis-12005	55	24	the	the	DET
fcis-12005	55	25	random	random	ADJ
fcis-12005	55	26	forest	forest	NOUN
fcis-12005	55	27	model	model	NOUN
fcis-12005	55	28	for	for	ADP
fcis-12005	55	29	training	training	NOUN
fcis-12005	55	30	.	.	PUNCT
fcis-12005	56	1	call	call	VERB
fcis-12005	56	2	the	the	DET
fcis-12005	56	3	scikit	scikit	NOUN
fcis-12005	56	4	learn	learn	VERB
fcis-12005	56	5	library	library	NOUN
fcis-12005	56	6	to	to	PART
fcis-12005	56	7	split	split	VERB
fcis-12005	56	8	the	the	DET
fcis-12005	56	9	training	training	NOUN
fcis-12005	56	10	and	and	CCONJ
fcis-12005	56	11	testing	testing	NOUN
fcis-12005	56	12	sets	set	NOUN
fcis-12005	56	13	of	of	ADP
fcis-12005	56	14	samples	sample	NOUN
fcis-12005	56	15	according	accord	VERB
fcis-12005	56	16	to	to	ADP
fcis-12005	56	17	the	the	DET
fcis-12005	56	18	7:3	7:3	NUM
fcis-12005	56	19	random	random	ADJ
fcis-12005	56	20	allocation	allocation	NOUN
fcis-12005	56	21	principle	principle	NOUN
fcis-12005	56	22	,	,	PUNCT
fcis-12005	56	23	that	that	ADV
fcis-12005	56	24	is	is	ADV
fcis-12005	56	25	,	,	PUNCT
fcis-12005	56	26	70	70	NUM
fcis-12005	56	27	%	%	NOUN
fcis-12005	56	28	of	of	ADP
fcis-12005	56	29	the	the	DET
fcis-12005	56	30	sample	sample	NOUN
fcis-12005	56	31	data	datum	NOUN
fcis-12005	56	32	is	be	AUX
fcis-12005	56	33	trained	train	VERB
fcis-12005	56	34	,	,	PUNCT
fcis-12005	56	35	and	and	CCONJ
fcis-12005	56	36	30	30	NUM
fcis-12005	56	37	%	%	NOUN
fcis-12005	56	38	of	of	ADP
fcis-12005	56	39	the	the	DET
fcis-12005	56	40	sample	sample	NOUN
fcis-12005	56	41	data	datum	NOUN
fcis-12005	56	42	is	be	AUX
fcis-12005	56	43	used	use	VERB
fcis-12005	56	44	as	as	ADP
fcis-12005	56	45	the	the	DET
fcis-12005	56	46	testing	testing	NOUN
fcis-12005	56	47	set	set	VERB
fcis-12005	56	48	for	for	ADP
fcis-12005	56	49	debugging	debugging	NOUN
fcis-12005	56	50	to	to	PART
fcis-12005	56	51	find	find	VERB
fcis-12005	56	52	the	the	DET
fcis-12005	56	53	best	good	ADJ
fcis-12005	56	54	parameters	parameter	NOUN
fcis-12005	56	55	[	[	X
fcis-12005	56	56	12	12	NUM
fcis-12005	56	57	]	]	PUNCT
fcis-12005	56	58	.	.	PUNCT
fcis-12005	57	1	(	(	PUNCT
fcis-12005	57	2	2	2	X
fcis-12005	57	3	)	)	PUNCT
fcis-12005	57	4	sample	sample	NOUN
fcis-12005	57	5	and	and	CCONJ
fcis-12005	57	6	growth	growth	NOUN
fcis-12005	57	7	:	:	PUNCT
fcis-12005	57	8	based	base	VERB
fcis-12005	57	9	on	on	ADP
fcis-12005	57	10	the	the	DET
fcis-12005	57	11	bootstrap	bootstrap	NOUN
fcis-12005	57	12	method	method	NOUN
fcis-12005	57	13	,	,	PUNCT
fcis-12005	57	14	extract	extract	VERB
fcis-12005	57	15	b	b	NOUN
fcis-12005	57	16	training	training	NOUN
fcis-12005	57	17	samples	sample	NOUN
fcis-12005	57	18	from	from	ADP
fcis-12005	57	19	n	n	PRON
fcis-12005	57	20	sample	sample	NOUN
fcis-12005	57	21	source	source	NOUN
fcis-12005	57	22	datasets	dataset	NOUN
fcis-12005	57	23	and	and	CCONJ
fcis-12005	57	24	construct	construct	VERB
fcis-12005	57	25	b	b	NUM
fcis-12005	57	26	regression	regression	NOUN
fcis-12005	57	27	trees	tree	NOUN
fcis-12005	57	28	[	[	X
fcis-12005	57	29	13	13	NUM
fcis-12005	57	30	]	]	PUNCT
fcis-12005	57	31	.	.	PUNCT
fcis-12005	58	1	the	the	DET
fcis-12005	58	2	remaining	remain	VERB
fcis-12005	58	3	samples	sample	NOUN
fcis-12005	58	4	were	be	AUX
fcis-12005	58	5	validated	validate	VERB
fcis-12005	58	6	as	as	ADP
fcis-12005	58	7	packaged	package	VERB
fcis-12005	58	8	in	in	ADP
fcis-12005	58	9	bags	bag	NOUN
fcis-12005	58	10	(	(	PUNCT
fcis-12005	58	11	oob	oob	NOUN
fcis-12005	58	12	)	)	PUNCT
fcis-12005	58	13	.	.	PUNCT
fcis-12005	59	1	(	(	PUNCT
fcis-12005	59	2	3	3	X
fcis-12005	59	3	)	)	PUNCT
fcis-12005	59	4	obb	obb	NOUN
fcis-12005	59	5	accuracy	accuracy	NOUN
fcis-12005	59	6	verification	verification	NOUN
fcis-12005	59	7	:	:	PUNCT
fcis-12005	59	8	machine	machine	NOUN
fcis-12005	59	9	learning	learning	NOUN
fcis-12005	59	10	improves	improve	VERB
fcis-12005	59	11	model	model	NOUN
fcis-12005	59	12	accuracy	accuracy	NOUN
fcis-12005	59	13	by	by	ADP
fcis-12005	59	14	setting	set	VERB
fcis-12005	59	15	parameters	parameter	NOUN
fcis-12005	59	16	to	to	PART
fcis-12005	59	17	adjust	adjust	VERB
fcis-12005	59	18	the	the	DET
fcis-12005	59	19	model	model	NOUN
fcis-12005	59	20	structure	structure	NOUN
fcis-12005	59	21	,	,	PUNCT
fcis-12005	59	22	so	so	ADV
fcis-12005	59	23	adjusting	adjust	VERB
fcis-12005	59	24	the	the	DET
fcis-12005	59	25	model	model	NOUN
fcis-12005	59	26	to	to	ADP
fcis-12005	59	27	the	the	DET
fcis-12005	59	28	optimal	optimal	ADJ
fcis-12005	59	29	parameters	parameter	NOUN
fcis-12005	59	30	is	be	AUX
fcis-12005	59	31	extremely	extremely	ADV
fcis-12005	59	32	important	important	ADJ
fcis-12005	59	33	for	for	ADP
fcis-12005	59	34	the	the	DET
fcis-12005	59	35	results	result	NOUN
fcis-12005	59	36	of	of	ADP
fcis-12005	59	37	random	random	ADJ
fcis-12005	59	38	forests	forest	NOUN
fcis-12005	59	39	[	[	X
fcis-12005	59	40	14	14	NUM
fcis-12005	59	41	]	]	PUNCT
fcis-12005	59	42	.	.	PUNCT
fcis-12005	60	1	this	this	DET
fcis-12005	60	2	article	article	NOUN
fcis-12005	60	3	uses	use	VERB
fcis-12005	60	4	the	the	DET
fcis-12005	60	5	gridsearchcv	gridsearchcv	NOUN
fcis-12005	60	6	class	class	NOUN
fcis-12005	60	7	provided	provide	VERB
fcis-12005	60	8	in	in	ADP
fcis-12005	60	9	the	the	DET
fcis-12005	60	10	scikit	scikit	NOUN
fcis-12005	60	11	-	-	PUNCT
fcis-12005	60	12	lear	lear	NOUN
fcis-12005	60	13	library	library	NOUN
fcis-12005	60	14	in	in	ADP
fcis-12005	60	15	python	python	PROPN
fcis-12005	60	16	language	language	NOUN
fcis-12005	60	17	to	to	PART
fcis-12005	60	18	find	find	VERB
fcis-12005	60	19	the	the	DET
fcis-12005	60	20	optimal	optimal	ADJ
fcis-12005	60	21	parameters	parameter	NOUN
fcis-12005	60	22	for	for	ADP
fcis-12005	60	23	the	the	DET
fcis-12005	60	24	random	random	ADJ
fcis-12005	60	25	forest	forest	NOUN
fcis-12005	60	26	model	model	NOUN
fcis-12005	60	27	.	.	PUNCT
fcis-12005	61	1	after	after	ADP
fcis-12005	61	2	extensive	extensive	ADJ
fcis-12005	61	3	debugging	debugging	NOUN
fcis-12005	61	4	,	,	PUNCT
fcis-12005	61	5	the	the	DET
fcis-12005	61	6	accuracy	accuracy	NOUN
fcis-12005	61	7	of	of	ADP
fcis-12005	61	8	the	the	DET
fcis-12005	61	9	rf	rf	NOUN
fcis-12005	61	10	model	model	NOUN
fcis-12005	61	11	od	od	ADV
fcis-12005	61	12	is	be	AUX
fcis-12005	61	13	94.56	94.56	NUM
fcis-12005	61	14	%	%	NOUN
fcis-12005	61	15	.	.	PUNCT
fcis-12005	62	1	then	then	ADV
fcis-12005	62	2	,	,	PUNCT
fcis-12005	62	3	save	save	VERB
fcis-12005	62	4	the	the	DET
fcis-12005	62	5	model	model	NOUN
fcis-12005	62	6	training	training	NOUN
fcis-12005	62	7	parameters	parameter	NOUN
fcis-12005	62	8	.	.	PUNCT
fcis-12005	63	1	109	109	NUM
fcis-12005	63	2	table	table	NOUN
fcis-12005	63	3	1	1	NUM
fcis-12005	63	4	.	.	PUNCT
fcis-12005	63	5	main	main	ADJ
fcis-12005	63	6	parameters	parameter	NOUN
fcis-12005	63	7	of	of	ADP
fcis-12005	63	8	random	random	ADJ
fcis-12005	63	9	forest	forest	NOUN
fcis-12005	63	10	parameter	parameter	NOUN
fcis-12005	63	11	parameter	parameter	PROPN
fcis-12005	63	12	value	value	VERB
fcis-12005	63	13	the	the	DET
fcis-12005	63	14	role	role	NOUN
fcis-12005	63	15	of	of	ADP
fcis-12005	63	16	parameters	parameter	NOUN
fcis-12005	63	17	n_estimators	n_estimator	VERB
fcis-12005	63	18	155	155	NUM
fcis-12005	63	19	number	number	NOUN
fcis-12005	63	20	of	of	ADP
fcis-12005	63	21	decision	decision	NOUN
fcis-12005	63	22	trees	tree	NOUN
fcis-12005	63	23	min_samples_leaf	min_samples_leaf	VERB
fcis-12005	63	24	1	1	NUM
fcis-12005	63	25	number	number	NOUN
fcis-12005	63	26	of	of	ADP
fcis-12005	63	27	small	small	ADJ
fcis-12005	63	28	sample	sample	NOUN
fcis-12005	63	29	leaf	leaf	NOUN
fcis-12005	63	30	nodes	node	NOUN
fcis-12005	63	31	min_samples_split	min_samples_split	ADJ
fcis-12005	63	32	5	5	NUM
fcis-12005	63	33	minimum	minimum	NOUN
fcis-12005	63	34	sample	sample	NOUN
fcis-12005	63	35	size	size	NOUN
fcis-12005	63	36	for	for	ADP
fcis-12005	63	37	internal	internal	ADJ
fcis-12005	63	38	node	node	NOUN
fcis-12005	63	39	partitioning	partitioning	NOUN
fcis-12005	63	40	max_depth	max_depth	NOUN
fcis-12005	63	41	7	7	NUM
fcis-12005	63	42	maximum	maximum	ADJ
fcis-12005	63	43	depth	depth	NOUN
fcis-12005	63	44	of	of	ADP
fcis-12005	63	45	decision	decision	NOUN
fcis-12005	63	46	tree	tree	NOUN
fcis-12005	63	47	max_features	max_feature	NOUN
fcis-12005	63	48	auto	auto	NOUN
fcis-12005	63	49	number	number	NOUN
fcis-12005	63	50	of	of	ADP
fcis-12005	63	51	subsets	subset	NOUN
fcis-12005	63	52	of	of	ADP
fcis-12005	63	53	randomly	randomly	ADV
fcis-12005	63	54	selected	select	VERB
fcis-12005	63	55	feature	feature	NOUN
fcis-12005	63	56	sets	set	NOUN
fcis-12005	63	57	bootstrap	bootstrap	VERB
fcis-12005	63	58	true	true	ADJ
fcis-12005	63	59	parameters	parameter	NOUN
fcis-12005	63	60	of	of	ADP
fcis-12005	63	61	control	control	NOUN
fcis-12005	63	62	sampling	sample	VERB
fcis-12005	63	63	techniques	technique	NOUN
fcis-12005	63	64	4	4	NUM
fcis-12005	63	65	.	.	PUNCT
fcis-12005	63	66	conclusion	conclusion	NOUN
fcis-12005	63	67	the	the	DET
fcis-12005	63	68	commonly	commonly	ADV
fcis-12005	63	69	used	use	VERB
fcis-12005	63	70	accuracy	accuracy	NOUN
fcis-12005	63	71	verification	verification	NOUN
fcis-12005	63	72	method	method	NOUN
fcis-12005	63	73	for	for	ADP
fcis-12005	63	74	random	random	ADJ
fcis-12005	63	75	forests	forest	NOUN
fcis-12005	63	76	is	be	AUX
fcis-12005	63	77	to	to	PART
fcis-12005	63	78	evaluate	evaluate	VERB
fcis-12005	63	79	the	the	DET
fcis-12005	63	80	fit	fit	NOUN
fcis-12005	63	81	of	of	ADP
fcis-12005	63	82	statistical	statistical	ADJ
fcis-12005	63	83	models	model	NOUN
fcis-12005	63	84	by	by	ADP
fcis-12005	63	85	comparing	compare	VERB
fcis-12005	63	86	the	the	DET
fcis-12005	63	87	predicted	predict	VERB
fcis-12005	63	88	values	value	NOUN
fcis-12005	63	89	of	of	ADP
fcis-12005	63	90	30	30	NUM
fcis-12005	63	91	%	%	NOUN
fcis-12005	63	92	of	of	ADP
fcis-12005	63	93	the	the	DET
fcis-12005	63	94	predicted	predict	VERB
fcis-12005	63	95	data	datum	NOUN
fcis-12005	63	96	with	with	ADP
fcis-12005	63	97	the	the	DET
fcis-12005	63	98	initial	initial	ADJ
fcis-12005	63	99	values	value	NOUN
fcis-12005	63	100	.	.	PUNCT
fcis-12005	64	1	unlike	unlike	ADP
fcis-12005	64	2	the	the	DET
fcis-12005	64	3	precision	precision	NOUN
fcis-12005	64	4	analysis	analysis	NOUN
fcis-12005	64	5	commonly	commonly	ADV
fcis-12005	64	6	used	use	VERB
fcis-12005	64	7	in	in	ADP
fcis-12005	64	8	accompanying	accompany	VERB
fcis-12005	64	9	forests	forest	NOUN
fcis-12005	64	10	,	,	PUNCT
fcis-12005	64	11	the	the	DET
fcis-12005	64	12	precision	precision	NOUN
fcis-12005	64	13	analysis	analysis	NOUN
fcis-12005	64	14	method	method	NOUN
fcis-12005	64	15	of	of	ADP
fcis-12005	64	16	population	population	NOUN
fcis-12005	64	17	spatialization	spatialization	NOUN
fcis-12005	64	18	mainly	mainly	ADV
fcis-12005	64	19	involves	involve	VERB
fcis-12005	64	20	summarizing	summarize	VERB
fcis-12005	64	21	the	the	DET
fcis-12005	64	22	population	population	NOUN
fcis-12005	64	23	density	density	NOUN
fcis-12005	64	24	of	of	ADP
fcis-12005	64	25	the	the	DET
fcis-12005	64	26	subdivision	subdivision	NOUN
fcis-12005	64	27	grid	grid	VERB
fcis-12005	64	28	onto	onto	ADP
fcis-12005	64	29	the	the	DET
fcis-12005	64	30	corresponding	corresponding	ADJ
fcis-12005	64	31	minimum	minimum	ADJ
fcis-12005	64	32	administrative	administrative	ADJ
fcis-12005	64	33	unit	unit	NOUN
fcis-12005	64	34	,	,	PUNCT
fcis-12005	64	35	and	and	CCONJ
fcis-12005	64	36	comparing	compare	VERB
fcis-12005	64	37	the	the	DET
fcis-12005	64	38	population	population	NOUN
fcis-12005	64	39	on	on	ADP
fcis-12005	64	40	the	the	DET
fcis-12005	64	41	minimum	minimum	ADJ
fcis-12005	64	42	administrative	administrative	ADJ
fcis-12005	64	43	unit	unit	NOUN
fcis-12005	64	44	generated	generate	VERB
fcis-12005	64	45	by	by	ADP
fcis-12005	64	46	the	the	DET
fcis-12005	64	47	experimental	experimental	ADJ
fcis-12005	64	48	summary	summary	NOUN
fcis-12005	64	49	.	.	PUNCT
fcis-12005	65	1	this	this	DET
fcis-12005	65	2	article	article	NOUN
fcis-12005	65	3	obtains	obtain	VERB
fcis-12005	65	4	the	the	DET
fcis-12005	65	5	population	population	NOUN
fcis-12005	65	6	density	density	NOUN
fcis-12005	65	7	of	of	ADP
fcis-12005	65	8	each	each	DET
fcis-12005	65	9	grid	grid	NOUN
fcis-12005	65	10	by	by	ADP
fcis-12005	65	11	substituting	substitute	VERB
fcis-12005	65	12	grid	grid	NOUN
fcis-12005	65	13	feature	feature	NOUN
fcis-12005	65	14	data	datum	NOUN
fcis-12005	65	15	into	into	ADP
fcis-12005	65	16	a	a	DET
fcis-12005	65	17	trained	train	VERB
fcis-12005	65	18	random	random	ADJ
fcis-12005	65	19	forest	forest	NOUN
fcis-12005	65	20	model	model	NOUN
fcis-12005	65	21	,	,	PUNCT
fcis-12005	65	22	and	and	CCONJ
fcis-12005	65	23	then	then	ADV
fcis-12005	65	24	summarizes	summarize	VERB
fcis-12005	65	25	the	the	DET
fcis-12005	65	26	population	population	NOUN
fcis-12005	65	27	data	datum	NOUN
fcis-12005	65	28	on	on	ADP
fcis-12005	65	29	each	each	DET
fcis-12005	65	30	grid	grid	NOUN
fcis-12005	65	31	unit	unit	NOUN
fcis-12005	65	32	to	to	ADP
fcis-12005	65	33	the	the	DET
fcis-12005	65	34	corresponding	correspond	VERB
fcis-12005	65	35	townships	township	NOUN
fcis-12005	65	36	to	to	PART
fcis-12005	65	37	compare	compare	VERB
fcis-12005	65	38	the	the	DET
fcis-12005	65	39	population	population	NOUN
fcis-12005	65	40	from	from	ADP
fcis-12005	65	41	the	the	DET
fcis-12005	65	42	sixth	sixth	ADJ
fcis-12005	65	43	population	population	NOUN
fcis-12005	65	44	census	census	NOUN
fcis-12005	65	45	of	of	ADP
fcis-12005	65	46	guizhou	guizhou	PROPN
fcis-12005	65	47	province	province	NOUN
fcis-12005	65	48	in	in	ADP
fcis-12005	65	49	2010	2010	NUM
fcis-12005	65	50	to	to	PART
fcis-12005	65	51	output	output	VERB
fcis-12005	65	52	the	the	DET
fcis-12005	65	53	fitting	fitting	ADJ
fcis-12005	65	54	degree	degree	NOUN
fcis-12005	65	55	.	.	PUNCT
fcis-12005	66	1	the	the	DET
fcis-12005	66	2	majority	majority	NOUN
fcis-12005	66	3	of	of	ADP
fcis-12005	66	4	the	the	DET
fcis-12005	66	5	predicted	predict	VERB
fcis-12005	66	6	data	data	NOUN
fcis-12005	66	7	values	value	NOUN
fcis-12005	66	8	in	in	ADP
fcis-12005	66	9	this	this	DET
fcis-12005	66	10	experiment	experiment	NOUN
fcis-12005	66	11	are	be	AUX
fcis-12005	66	12	distributed	distribute	VERB
fcis-12005	66	13	near	near	ADP
fcis-12005	66	14	the	the	DET
fcis-12005	66	15	trend	trend	NOUN
fcis-12005	66	16	line	line	NOUN
fcis-12005	66	17	,	,	PUNCT
fcis-12005	66	18	and	and	CCONJ
fcis-12005	66	19	the	the	DET
fcis-12005	66	20	goodness	goodness	NOUN
fcis-12005	66	21	of	of	ADP
fcis-12005	66	22	fit	fit	ADJ
fcis-12005	66	23	r2=0.876	r2=0.876	NOUN
fcis-12005	66	24	is	be	AUX
fcis-12005	66	25	close	close	ADJ
fcis-12005	66	26	to	to	ADP
fcis-12005	66	27	1	1	NUM
fcis-12005	66	28	,	,	PUNCT
fcis-12005	66	29	indicating	indicate	VERB
fcis-12005	66	30	that	that	SCONJ
fcis-12005	66	31	the	the	DET
fcis-12005	66	32	prediction	prediction	NOUN
fcis-12005	66	33	accuracy	accuracy	NOUN
fcis-12005	66	34	of	of	ADP
fcis-12005	66	35	this	this	DET
fcis-12005	66	36	experiment	experiment	NOUN
fcis-12005	66	37	is	be	AUX
fcis-12005	66	38	relatively	relatively	ADV
fcis-12005	66	39	high	high	ADJ
fcis-12005	66	40	.	.	PUNCT
fcis-12005	67	1	at	at	ADP
fcis-12005	67	2	the	the	DET
fcis-12005	67	3	same	same	ADJ
fcis-12005	67	4	time	time	NOUN
fcis-12005	67	5	,	,	PUNCT
fcis-12005	67	6	it	it	PRON
fcis-12005	67	7	should	should	AUX
fcis-12005	67	8	be	be	AUX
fcis-12005	67	9	noted	note	VERB
fcis-12005	67	10	that	that	SCONJ
fcis-12005	67	11	in	in	ADP
fcis-12005	67	12	areas	area	NOUN
fcis-12005	67	13	with	with	ADP
fcis-12005	67	14	a	a	DET
fcis-12005	67	15	population	population	NOUN
fcis-12005	67	16	of	of	ADP
fcis-12005	67	17	less	less	ADJ
fcis-12005	67	18	than	than	ADP
fcis-12005	67	19	300000	300000	NUM
fcis-12005	67	20	,	,	PUNCT
fcis-12005	67	21	most	most	ADJ
fcis-12005	67	22	of	of	ADP
fcis-12005	67	23	the	the	DET
fcis-12005	67	24	predicted	predict	VERB
fcis-12005	67	25	values	value	NOUN
fcis-12005	67	26	are	be	AUX
fcis-12005	67	27	higher	high	ADJ
fcis-12005	67	28	than	than	ADP
fcis-12005	67	29	the	the	DET
fcis-12005	67	30	actual	actual	ADJ
fcis-12005	67	31	statistical	statistical	ADJ
fcis-12005	67	32	population	population	NOUN
fcis-12005	67	33	.	.	PUNCT
fcis-12005	68	1	however	however	ADV
fcis-12005	68	2	,	,	PUNCT
fcis-12005	68	3	in	in	ADP
fcis-12005	68	4	areas	area	NOUN
fcis-12005	68	5	with	with	ADP
fcis-12005	68	6	a	a	DET
fcis-12005	68	7	population	population	NOUN
fcis-12005	68	8	above	above	ADP
fcis-12005	68	9	30w	30w	NOUN
fcis-12005	68	10	on	on	ADP
fcis-12005	68	11	the	the	DET
fcis-12005	68	12	horizontal	horizontal	ADJ
fcis-12005	68	13	axis	axis	NOUN
fcis-12005	68	14	,	,	PUNCT
fcis-12005	68	15	the	the	DET
fcis-12005	68	16	predicted	predict	VERB
fcis-12005	68	17	values	value	NOUN
fcis-12005	68	18	of	of	ADP
fcis-12005	68	19	the	the	DET
fcis-12005	68	20	population	population	NOUN
fcis-12005	68	21	are	be	AUX
fcis-12005	68	22	relatively	relatively	ADV
fcis-12005	68	23	low	low	ADJ
fcis-12005	68	24	.	.	PUNCT
fcis-12005	69	1	this	this	PRON
fcis-12005	69	2	indicates	indicate	VERB
fcis-12005	69	3	that	that	SCONJ
fcis-12005	69	4	the	the	DET
fcis-12005	69	5	predicted	predict	VERB
fcis-12005	69	6	values	value	NOUN
fcis-12005	69	7	of	of	ADP
fcis-12005	69	8	rural	rural	ADJ
fcis-12005	69	9	and	and	CCONJ
fcis-12005	69	10	township	township	NOUN
fcis-12005	69	11	areas	area	NOUN
fcis-12005	69	12	are	be	AUX
fcis-12005	69	13	higher	high	ADJ
fcis-12005	69	14	,	,	PUNCT
fcis-12005	69	15	and	and	CCONJ
fcis-12005	69	16	the	the	DET
fcis-12005	69	17	predicted	predict	VERB
fcis-12005	69	18	values	value	NOUN
fcis-12005	69	19	of	of	ADP
fcis-12005	69	20	built	build	VERB
fcis-12005	69	21	-	-	PUNCT
fcis-12005	69	22	up	up	ADP
fcis-12005	69	23	areas	area	NOUN
fcis-12005	69	24	and	and	CCONJ
fcis-12005	69	25	nearby	nearby	ADJ
fcis-12005	69	26	cities	city	NOUN
fcis-12005	69	27	are	be	AUX
fcis-12005	69	28	lower	low	ADJ
fcis-12005	69	29	.	.	PUNCT
fcis-12005	70	1	this	this	DET
fcis-12005	70	2	result	result	NOUN
fcis-12005	70	3	is	be	AUX
fcis-12005	70	4	a	a	DET
fcis-12005	70	5	completely	completely	ADV
fcis-12005	70	6	opposite	opposite	ADJ
fcis-12005	70	7	result	result	NOUN
fcis-12005	70	8	compared	compare	VERB
fcis-12005	70	9	to	to	ADP
fcis-12005	70	10	other	other	ADJ
fcis-12005	70	11	studies	study	NOUN
fcis-12005	70	12	,	,	PUNCT
fcis-12005	70	13	and	and	CCONJ
fcis-12005	70	14	further	further	ADJ
fcis-12005	70	15	analysis	analysis	NOUN
fcis-12005	70	16	and	and	CCONJ
fcis-12005	70	17	discussion	discussion	NOUN
fcis-12005	70	18	are	be	AUX
fcis-12005	70	19	needed	need	VERB
fcis-12005	70	20	.	.	PUNCT
fcis-12005	71	1	through	through	ADP
fcis-12005	71	2	the	the	DET
fcis-12005	71	3	statistical	statistical	ADJ
fcis-12005	71	4	data	datum	NOUN
fcis-12005	71	5	in	in	ADP
fcis-12005	71	6	the	the	DET
fcis-12005	71	7	segmented	segment	VERB
fcis-12005	71	8	statistical	statistical	ADJ
fcis-12005	71	9	table	table	NOUN
fcis-12005	71	10	of	of	ADP
fcis-12005	71	11	population	population	NOUN
fcis-12005	71	12	spatialization	spatialization	NOUN
fcis-12005	71	13	errors	error	NOUN
fcis-12005	71	14	in	in	ADP
fcis-12005	71	15	guizhou	guizhou	PROPN
fcis-12005	71	16	province	province	NOUN
fcis-12005	71	17	,	,	PUNCT
fcis-12005	71	18	we	we	PRON
fcis-12005	71	19	can	can	AUX
fcis-12005	71	20	see	see	VERB
fcis-12005	71	21	that	that	SCONJ
fcis-12005	71	22	63.1	63.1	NUM
fcis-12005	71	23	%	%	NOUN
fcis-12005	71	24	of	of	ADP
fcis-12005	71	25	the	the	DET
fcis-12005	71	26	population	population	NOUN
fcis-12005	71	27	prediction	prediction	NOUN
fcis-12005	71	28	results	result	NOUN
fcis-12005	71	29	are	be	AUX
fcis-12005	71	30	within	within	ADP
fcis-12005	71	31	the	the	DET
fcis-12005	71	32	error	error	NOUN
fcis-12005	71	33	range	range	NOUN
fcis-12005	71	34	of	of	ADP
fcis-12005	71	35	-10	-10	NUM
fcis-12005	71	36	%	%	NOUN
fcis-12005	71	37	to	to	PART
fcis-12005	71	38	10	10	NUM
fcis-12005	71	39	%	%	NOUN
fcis-12005	71	40	,	,	PUNCT
fcis-12005	71	41	and	and	CCONJ
fcis-12005	71	42	27.3	27.3	NUM
fcis-12005	71	43	%	%	NOUN
fcis-12005	71	44	are	be	AUX
fcis-12005	71	45	within	within	ADP
fcis-12005	71	46	the	the	DET
fcis-12005	71	47	error	error	NOUN
fcis-12005	71	48	range	range	NOUN
fcis-12005	71	49	of	of	ADP
fcis-12005	71	50	-20	-20	NUM
fcis-12005	71	51	%	%	NOUN
fcis-12005	71	52	to	to	PART
fcis-12005	71	53	20	20	NUM
fcis-12005	71	54	%	%	NOUN
fcis-12005	71	55	.	.	PUNCT
fcis-12005	72	1	most	most	ADJ
fcis-12005	72	2	of	of	ADP
fcis-12005	72	3	the	the	DET
fcis-12005	72	4	prediction	prediction	NOUN
fcis-12005	72	5	results	result	NOUN
fcis-12005	72	6	are	be	AUX
fcis-12005	72	7	within	within	ADP
fcis-12005	72	8	a	a	DET
fcis-12005	72	9	relatively	relatively	ADV
fcis-12005	72	10	reasonable	reasonable	ADJ
fcis-12005	72	11	range	range	NOUN
fcis-12005	72	12	.	.	PUNCT
fcis-12005	73	1	table	table	NOUN
fcis-12005	73	2	2	2	NUM
fcis-12005	73	3	.	.	X
fcis-12005	73	4	estimation	estimation	NOUN
fcis-12005	73	5	error	error	NOUN
fcis-12005	73	6	statistics	statistic	NOUN
fcis-12005	73	7	table	table	NOUN
fcis-12005	73	8	close	close	ADV
fcis-12005	73	9	to	to	ADP
fcis-12005	73	10	actual	actual	ADJ
fcis-12005	73	11	value	value	NOUN
fcis-12005	73	12	error	error	NOUN
fcis-12005	73	13	range	range	NOUN
fcis-12005	73	14	number	number	NOUN
fcis-12005	73	15	proportion	proportion	NOUN
fcis-12005	73	16	close	close	ADV
fcis-12005	73	17	to	to	ADP
fcis-12005	73	18	actual	actual	ADJ
fcis-12005	73	19	value	value	NOUN
fcis-12005	73	20	(	(	PUNCT
fcis-12005	73	21	-10	-10	NUM
fcis-12005	73	22	%	%	NOUN
fcis-12005	73	23	,	,	PUNCT
fcis-12005	73	24	10	10	NUM
fcis-12005	73	25	%	%	NOUN
fcis-12005	73	26	)	)	PUNCT
fcis-12005	73	27	61	61	NUM
fcis-12005	73	28	%	%	NOUN
fcis-12005	73	29	54	54	NUM
fcis-12005	73	30	overestimate	overestimate	NOUN
fcis-12005	73	31	(	(	PUNCT
fcis-12005	73	32	-30	-30	NUM
fcis-12005	73	33	%	%	NOUN
fcis-12005	73	34	,	,	PUNCT
fcis-12005	73	35	-10	-10	NUM
fcis-12005	73	36	%	%	NOUN
fcis-12005	73	37	)	)	PUNCT
fcis-12005	73	38	1	1	NUM
fcis-12005	73	39	%	%	NOUN
fcis-12005	73	40	1	1	NUM
fcis-12005	73	41	mild	mild	ADJ
fcis-12005	73	42	overestimation	overestimation	NOUN
fcis-12005	73	43	(	(	PUNCT
fcis-12005	73	44	10	10	NUM
fcis-12005	73	45	%	%	NOUN
fcis-12005	73	46	,	,	PUNCT
fcis-12005	73	47	30	30	NUM
fcis-12005	73	48	%	%	NOUN
fcis-12005	73	49	)	)	PUNCT
fcis-12005	73	50	17	17	NUM
fcis-12005	73	51	%	%	NOUN
fcis-12005	73	52	15	15	NUM
fcis-12005	73	53	mild	mild	ADJ
fcis-12005	73	54	underestimation	underestimation	NOUN
fcis-12005	73	55	>	>	X
fcis-12005	73	56	30	30	NUM
fcis-12005	73	57	%	%	NOUN
fcis-12005	73	58	15	15	NUM
fcis-12005	73	59	%	%	NOUN
fcis-12005	73	60	13	13	NUM
fcis-12005	73	61	underestimate	underestimate	ADJ
fcis-12005	73	62	<	<	NOUN
fcis-12005	73	63	30	30	NUM
fcis-12005	73	64	%	%	NOUN
fcis-12005	73	65	6	6	NUM
fcis-12005	73	66	%	%	NOUN
fcis-12005	73	67	5	5	NUM
fcis-12005	73	68	although	although	SCONJ
fcis-12005	73	69	there	there	PRON
fcis-12005	73	70	are	be	VERB
fcis-12005	73	71	still	still	ADV
fcis-12005	73	72	significant	significant	ADJ
fcis-12005	73	73	or	or	CCONJ
fcis-12005	73	74	minor	minor	ADJ
fcis-12005	73	75	errors	error	NOUN
fcis-12005	73	76	in	in	ADP
fcis-12005	73	77	the	the	DET
fcis-12005	73	78	predicted	predict	VERB
fcis-12005	73	79	data	datum	NOUN
fcis-12005	73	80	of	of	ADP
fcis-12005	73	81	this	this	DET
fcis-12005	73	82	experiment	experiment	NOUN
fcis-12005	73	83	compared	compare	VERB
fcis-12005	73	84	to	to	ADP
fcis-12005	73	85	the	the	DET
fcis-12005	73	86	statistical	statistical	ADJ
fcis-12005	73	87	data	datum	NOUN
fcis-12005	73	88	,	,	PUNCT
fcis-12005	73	89	statistical	statistical	ADJ
fcis-12005	73	90	analysis	analysis	NOUN
fcis-12005	73	91	shows	show	VERB
fcis-12005	73	92	that	that	SCONJ
fcis-12005	73	93	the	the	DET
fcis-12005	73	94	total	total	ADJ
fcis-12005	73	95	error	error	NOUN
fcis-12005	73	96	value	value	NOUN
fcis-12005	73	97	is	be	AUX
fcis-12005	73	98	within	within	ADP
fcis-12005	73	99	an	an	DET
fcis-12005	73	100	acceptable	acceptable	ADJ
fcis-12005	73	101	range	range	NOUN
fcis-12005	73	102	.	.	PUNCT
fcis-12005	74	1	by	by	ADP
fcis-12005	74	2	performing	perform	VERB
fcis-12005	74	3	a	a	DET
fcis-12005	74	4	dimensionality	dimensionality	NOUN
fcis-12005	74	5	reduction	reduction	NOUN
fcis-12005	74	6	process	process	NOUN
fcis-12005	74	7	on	on	ADP
fcis-12005	74	8	a	a	DET
fcis-12005	74	9	large	large	ADJ
fcis-12005	74	10	range	range	NOUN
fcis-12005	74	11	of	of	ADP
fcis-12005	74	12	population	population	NOUN
fcis-12005	74	13	data	datum	NOUN
fcis-12005	74	14	,	,	PUNCT
fcis-12005	74	15	we	we	PRON
fcis-12005	74	16	have	have	AUX
fcis-12005	74	17	obtained	obtain	VERB
fcis-12005	74	18	grid	grid	NOUN
fcis-12005	74	19	data	datum	NOUN
fcis-12005	74	20	with	with	ADP
fcis-12005	74	21	a	a	DET
fcis-12005	74	22	more	more	ADV
fcis-12005	74	23	accurate	accurate	ADJ
fcis-12005	74	24	and	and	CCONJ
fcis-12005	74	25	semantically	semantically	ADV
fcis-12005	74	26	rich	rich	ADJ
fcis-12005	74	27	description	description	NOUN
fcis-12005	74	28	of	of	ADP
fcis-12005	74	29	population	population	NOUN
fcis-12005	74	30	density	density	NOUN
fcis-12005	74	31	in	in	ADP
fcis-12005	74	32	the	the	DET
fcis-12005	74	33	smallest	small	ADJ
fcis-12005	74	34	administrative	administrative	ADJ
fcis-12005	74	35	region	region	NOUN
fcis-12005	74	36	,	,	PUNCT
fcis-12005	74	37	this	this	PRON
fcis-12005	74	38	indicates	indicate	VERB
fcis-12005	74	39	that	that	SCONJ
fcis-12005	74	40	the	the	DET
fcis-12005	74	41	progressive	progressive	ADJ
fcis-12005	74	42	forest	forest	NOUN
fcis-12005	74	43	model	model	NOUN
fcis-12005	74	44	has	have	VERB
fcis-12005	74	45	better	well	ADJ
fcis-12005	74	46	population	population	NOUN
fcis-12005	74	47	spatialization	spatialization	NOUN
fcis-12005	74	48	results	result	NOUN
fcis-12005	74	49	compared	compare	VERB
fcis-12005	74	50	to	to	ADP
fcis-12005	74	51	traditional	traditional	ADJ
fcis-12005	74	52	linear	linear	ADJ
fcis-12005	74	53	regression	regression	NOUN
fcis-12005	74	54	models	model	NOUN
fcis-12005	74	55	.	.	PUNCT
fcis-12005	75	1	references	reference	NOUN
fcis-12005	75	2	[	[	X
fcis-12005	75	3	1	1	NUM
fcis-12005	75	4	]	]	X
fcis-12005	75	5	smith	smith	PROPN
fcis-12005	75	6	,	,	PUNCT
fcis-12005	75	7	a.	a.	PROPN
fcis-12005	75	8	,	,	PUNCT
fcis-12005	75	9	martin	martin	PROPN
fcis-12005	75	10	,	,	PUNCT
fcis-12005	75	11	d.	d.	PROPN
fcis-12005	75	12	,	,	PUNCT
fcis-12005	75	13	&	&	CCONJ
fcis-12005	75	14	cockings	cocking	NOUN
fcis-12005	75	15	,	,	PUNCT
fcis-12005	75	16	s.	s.	PROPN
fcis-12005	75	17	.	.	PUNCT
fcis-12005	76	1	(	(	PUNCT
fcis-12005	76	2	2016	2016	NUM
fcis-12005	76	3	)	)	PUNCT
fcis-12005	76	4	.	.	PUNCT
fcis-12005	77	1	spatiotemporal	spatiotemporal	ADJ
fcis-12005	77	2	population	population	NOUN
fcis-12005	77	3	modelling	model	VERB
fcis-12005	77	4	for	for	ADP
fcis-12005	77	5	enhanced	enhanced	ADJ
fcis-12005	77	6	assessment	assessment	NOUN
fcis-12005	77	7	of	of	ADP
fcis-12005	77	8	urban	urban	ADJ
fcis-12005	77	9	exposure	exposure	NOUN
fcis-12005	77	10	to	to	ADP
fcis-12005	77	11	flood	flood	NOUN
fcis-12005	77	12	risk	risk	NOUN
fcis-12005	77	13	.	.	PUNCT
fcis-12005	78	1	applied	apply	VERB
fcis-12005	78	2	spatial	spatial	ADJ
fcis-12005	78	3	analysis	analysis	NOUN
fcis-12005	78	4	&	&	CCONJ
fcis-12005	78	5	policy	policy	NOUN
fcis-12005	78	6	,	,	PUNCT
fcis-12005	78	7	9	9	NUM
fcis-12005	78	8	(	(	PUNCT
fcis-12005	78	9	2	2	NUM
fcis-12005	78	10	)	)	PUNCT
fcis-12005	78	11	,	,	PUNCT
fcis-12005	78	12	145	145	NUM
fcis-12005	78	13	-	-	SYM
fcis-12005	78	14	163	163	NUM
fcis-12005	78	15	.	.	PUNCT
fcis-12005	79	1	[	[	X
fcis-12005	79	2	2	2	NUM
fcis-12005	79	3	]	]	X
fcis-12005	79	4	jia	jia	PROPN
fcis-12005	79	5	,	,	PUNCT
fcis-12005	79	6	p.	p.	NOUN
fcis-12005	79	7	,	,	PUNCT
fcis-12005	79	8	qiu	qiu	PROPN
fcis-12005	79	9	,	,	PUNCT
fcis-12005	79	10	y.	y.	PROPN
fcis-12005	79	11	,	,	PUNCT
fcis-12005	79	12	&	&	CCONJ
fcis-12005	79	13	gaughan	gaughan	PROPN
fcis-12005	79	14	,	,	PUNCT
fcis-12005	79	15	a.	a.	PROPN
fcis-12005	79	16	e.	e.	PROPN
fcis-12005	79	17	.	.	PUNCT
fcis-12005	80	1	(	(	PUNCT
fcis-12005	80	2	2014	2014	NUM
fcis-12005	80	3	)	)	PUNCT
fcis-12005	80	4	.	.	PUNCT
fcis-12005	81	1	a	a	DET
fcis-12005	81	2	fine	fine	ADJ
fcis-12005	81	3	-	-	PUNCT
fcis-12005	81	4	scale	scale	NOUN
fcis-12005	81	5	spatial	spatial	ADJ
fcis-12005	81	6	population	population	NOUN
fcis-12005	81	7	distribution	distribution	NOUN
fcis-12005	81	8	on	on	ADP
fcis-12005	81	9	the	the	DET
fcis-12005	81	10	high	high	ADJ
fcis-12005	81	11	-	-	PUNCT
fcis-12005	81	12	resolution	resolution	NOUN
fcis-12005	81	13	gridded	gridde	VERB
fcis-12005	81	14	population	population	NOUN
fcis-12005	81	15	surface	surface	NOUN
fcis-12005	81	16	and	and	CCONJ
fcis-12005	81	17	application	application	NOUN
fcis-12005	81	18	in	in	ADP
fcis-12005	81	19	alachua	alachua	PROPN
fcis-12005	81	20	county	county	PROPN
fcis-12005	81	21	,	,	PUNCT
fcis-12005	81	22	florida	florida	PROPN
fcis-12005	81	23	.	.	PUNCT
fcis-12005	82	1	applied	apply	VERB
fcis-12005	82	2	geography	geography	NOUN
fcis-12005	82	3	,	,	PUNCT
fcis-12005	82	4	50	50	NUM
fcis-12005	82	5	,	,	PUNCT
fcis-12005	82	6	99	99	NUM
fcis-12005	82	7	-	-	SYM
fcis-12005	82	8	107	107	NUM
fcis-12005	82	9	.	.	PUNCT
fcis-12005	83	1	[	[	X
fcis-12005	83	2	3	3	X
fcis-12005	83	3	]	]	PUNCT
fcis-12005	83	4	stevens	stevens	X
fcis-12005	83	5	f	f	PROPN
fcis-12005	83	6	r	r	PROPN
fcis-12005	83	7	,	,	PUNCT
fcis-12005	83	8	gaughan	gaughan	PROPN
fcis-12005	83	9	a	a	DET
fcis-12005	83	10	e	e	NOUN
fcis-12005	83	11	,	,	PUNCT
fcis-12005	83	12	linard	linard	PROPN
fcis-12005	83	13	c	c	PROPN
fcis-12005	83	14	,	,	PUNCT
fcis-12005	83	15	et	et	PROPN
fcis-12005	83	16	al	al	PROPN
fcis-12005	83	17	.	.	PUNCT
fcis-12005	84	1	disaggregating	disaggregate	VERB
fcis-12005	84	2	census	census	NOUN
fcis-12005	84	3	data	datum	NOUN
fcis-12005	84	4	for	for	ADP
fcis-12005	84	5	population	population	NOUN
fcis-12005	84	6	mapping	mapping	NOUN
fcis-12005	84	7	using	use	VERB
fcis-12005	84	8	random	random	ADJ
fcis-12005	84	9	forests	forest	NOUN
fcis-12005	84	10	with	with	ADP
fcis-12005	84	11	remotely	remotely	ADV
fcis-12005	84	12	-	-	PUNCT
fcis-12005	84	13	sensed	sense	VERB
fcis-12005	84	14	and	and	CCONJ
fcis-12005	84	15	ancillary	ancillary	ADJ
fcis-12005	84	16	data[j	data[j	NOUN
fcis-12005	84	17	]	]	PUNCT
fcis-12005	84	18	.	.	PUNCT
fcis-12005	85	1	plos	plos	PROPN
fcis-12005	85	2	one	one	NUM
fcis-12005	85	3	,	,	PUNCT
fcis-12005	85	4	2015	2015	NUM
fcis-12005	85	5	,	,	PUNCT
fcis-12005	85	6	10(2):e0107042	10(2):e0107042	NUM
fcis-12005	85	7	.	.	PUNCT
fcis-12005	86	1	[	[	X
fcis-12005	86	2	4	4	X
fcis-12005	86	3	]	]	X
fcis-12005	86	4	.potential	.potential	NOUN
fcis-12005	86	5	of	of	ADP
fcis-12005	86	6	ensemble	ensemble	ADJ
fcis-12005	86	7	tree	tree	NOUN
fcis-12005	86	8	methods	method	NOUN
fcis-12005	86	9	for	for	ADP
fcis-12005	86	10	early	early	ADJ
fcis-12005	86	11	-	-	PUNCT
fcis-12005	86	12	season	season	NOUN
fcis-12005	86	13	prediction	prediction	NOUN
fcis-12005	86	14	of	of	ADP
fcis-12005	86	15	winter	winter	NOUN
fcis-12005	86	16	wheat	wheat	NOUN
fcis-12005	86	17	yield	yield	NOUN
fcis-12005	86	18	from	from	ADP
fcis-12005	86	19	short	short	ADJ
fcis-12005	86	20	time	time	NOUN
fcis-12005	86	21	series	series	NOUN
fcis-12005	86	22	of	of	ADP
fcis-12005	86	23	remotely	remotely	ADV
fcis-12005	86	24	sensed	sense	VERB
fcis-12005	86	25	normalized	normalize	VERB
fcis-12005	86	26	difference	difference	NOUN
fcis-12005	86	27	vegetation	vegetation	NOUN
fcis-12005	86	28	index	index	NOUN
fcis-12005	86	29	and	and	CCONJ
fcis-12005	86	30	in	in	ADP
fcis-12005	86	31	situ	situ	ADJ
fcis-12005	86	32	meteorological	meteorological	ADJ
fcis-12005	86	33	data	datum	NOUN
fcis-12005	86	34	.	.	PUNCT
fcis-12005	87	1	journal	journal	PROPN
fcis-12005	87	2	of	of	ADP
fcis-12005	87	3	applied	apply	VERB
fcis-12005	87	4	remote	remote	ADJ
fcis-12005	87	5	sensing	sensing	NOUN
fcis-12005	87	6	,	,	PUNCT
fcis-12005	87	7	9(1	9(1	NUM
fcis-12005	87	8	)	)	PUNCT
fcis-12005	87	9	,	,	PUNCT
fcis-12005	87	10	c.	c.	PROPN
fcis-12005	87	11	j.	j.	PROPN
fcis-12005	87	12	kaufman	kaufman	PROPN
fcis-12005	87	13	,	,	PUNCT
fcis-12005	87	14	rocky	rocky	ADJ
fcis-12005	87	15	mountain	mountain	NOUN
fcis-12005	87	16	research	research	NOUN
fcis-12005	87	17	lab	lab	NOUN
fcis-12005	87	18	.	.	PUNCT
fcis-12005	87	19	,	,	PUNCT
fcis-12005	87	20	boulder	boulder	PROPN
fcis-12005	87	21	,	,	PUNCT
fcis-12005	87	22	co	co	NOUN
fcis-12005	87	23	,	,	PUNCT
fcis-12005	87	24	private	private	ADJ
fcis-12005	87	25	communication	communication	NOUN
fcis-12005	87	26	,	,	PUNCT
fcis-12005	87	27	may	may	PROPN
fcis-12005	87	28	1995	1995	NUM
fcis-12005	87	29	.	.	PUNCT
fcis-12005	88	1	[	[	X
fcis-12005	88	2	5	5	NUM
fcis-12005	88	3	]	]	SYM
fcis-12005	88	4	liaw	liaw	PROPN
fcis-12005	88	5	,	,	PUNCT
fcis-12005	88	6	a.	a.	NOUN
fcis-12005	88	7	,	,	PUNCT
fcis-12005	88	8	&	&	CCONJ
fcis-12005	88	9	wiener	wiener	NOUN
fcis-12005	88	10	,	,	PUNCT
fcis-12005	88	11	m.	m.	NOUN
fcis-12005	88	12	.	.	PUNCT
fcis-12005	89	1	(	(	PUNCT
fcis-12005	89	2	2002	2002	NUM
fcis-12005	89	3	)	)	PUNCT
fcis-12005	89	4	.	.	PUNCT
fcis-12005	90	1	classification	classification	NOUN
fcis-12005	90	2	and	and	CCONJ
fcis-12005	90	3	regression	regression	NOUN
fcis-12005	90	4	by	by	ADP
fcis-12005	90	5	randomforest	randomfor	ADJ
fcis-12005	90	6	.	.	PUNCT
fcis-12005	91	1	r	r	NOUN
fcis-12005	91	2	news	news	NOUN
fcis-12005	91	3	,	,	PUNCT
fcis-12005	91	4	m.	m.	NOUN
fcis-12005	91	5	young	young	PROPN
fcis-12005	91	6	,	,	PUNCT
fcis-12005	91	7	the	the	DET
fcis-12005	91	8	techincal	techincal	ADJ
fcis-12005	91	9	writers	writer	NOUN
fcis-12005	91	10	handbook	handbook	NOUN
fcis-12005	91	11	.	.	PUNCT
fcis-12005	92	1	mill	mill	NOUN
fcis-12005	92	2	valley	valley	PROPN
fcis-12005	92	3	,	,	PUNCT
fcis-12005	92	4	ca	ca	PROPN
fcis-12005	92	5	:	:	PUNCT
fcis-12005	92	6	university	university	NOUN
fcis-12005	92	7	science	science	NOUN
fcis-12005	92	8	,	,	PUNCT
fcis-12005	92	9	1989	1989	NUM
fcis-12005	92	10	.	.	PUNCT
fcis-12005	93	1	[	[	X
fcis-12005	93	2	6	6	NUM
fcis-12005	93	3	]	]	SYM
fcis-12005	93	4	ramón	ramón	ADJ
fcis-12005	93	5	díaz	díaz	NOUN
fcis-12005	93	6	-	-	PUNCT
fcis-12005	93	7	uriarte	uriarte	NOUN
fcis-12005	93	8	,	,	PUNCT
fcis-12005	93	9	sara	sara	PROPN
fcis-12005	93	10	alvarez	alvarez	PROPN
fcis-12005	93	11	de	de	PROPN
fcis-12005	93	12	andrés	andrés	PROPN
fcis-12005	93	13	.	.	PUNCT
fcis-12005	94	1	gene	gene	NOUN
fcis-12005	94	2	selection	selection	NOUN
fcis-12005	94	3	and	and	CCONJ
fcis-12005	94	4	classification	classification	NOUN
fcis-12005	94	5	of	of	ADP
fcis-12005	94	6	microarray	microarray	NOUN
fcis-12005	94	7	data	datum	NOUN
fcis-12005	94	8	using	use	VERB
fcis-12005	94	9	random	random	ADJ
fcis-12005	94	10	forest[j	forest[j	NOUN
fcis-12005	94	11	]	]	PUNCT
fcis-12005	94	12	.	.	PUNCT
fcis-12005	95	1	bmc	bmc	ADJ
fcis-12005	95	2	bioinformatics	bioinformatics	PROPN
fcis-12005	95	3	,	,	PUNCT
fcis-12005	95	4	2006	2006	NUM
fcis-12005	95	5	,	,	PUNCT
fcis-12005	95	6	7(1):3	7(1):3	X
fcis-12005	95	7	.	.	PUNCT
fcis-12005	96	1	[	[	X
fcis-12005	96	2	7	7	NUM
fcis-12005	96	3	]	]	PUNCT
fcis-12005	96	4	assuncao	assuncao	NOUN
fcis-12005	96	5	,	,	PUNCT
fcis-12005	96	6	m.	m.	PROPN
fcis-12005	96	7	d.	d.	PROPN
fcis-12005	96	8	,	,	PUNCT
fcis-12005	96	9	calheiros	calheiros	PROPN
fcis-12005	96	10	,	,	PUNCT
fcis-12005	96	11	r.	r.	PROPN
fcis-12005	96	12	n.	n.	PROPN
fcis-12005	96	13	,	,	PUNCT
fcis-12005	96	14	bianchi	bianchi	PROPN
fcis-12005	96	15	,	,	PUNCT
fcis-12005	96	16	s.	s.	PROPN
fcis-12005	96	17	,	,	PUNCT
fcis-12005	96	18	netto	netto	PROPN
fcis-12005	96	19	,	,	PUNCT
fcis-12005	96	20	m.	m.	NOUN
fcis-12005	96	21	a.	a.	PROPN
fcis-12005	96	22	s.	s.	PROPN
fcis-12005	96	23	,	,	PUNCT
fcis-12005	96	24	&	&	CCONJ
fcis-12005	96	25	buyya	buyya	PROPN
fcis-12005	96	26	,	,	PUNCT
fcis-12005	96	27	r.	r.	PROPN
fcis-12005	96	28	.	.	PUNCT
fcis-12005	97	1	(	(	PUNCT
fcis-12005	97	2	2013	2013	NUM
fcis-12005	97	3	)	)	PUNCT
fcis-12005	97	4	.	.	PUNCT
fcis-12005	98	1	big	big	ADJ
fcis-12005	98	2	data	datum	NOUN
fcis-12005	98	3	computing	computing	NOUN
fcis-12005	98	4	and	and	CCONJ
fcis-12005	98	5	clouds	cloud	NOUN
fcis-12005	98	6	:	:	PUNCT
fcis-12005	98	7	challenges	challenge	NOUN
fcis-12005	98	8	,	,	PUNCT
fcis-12005	98	9	solutions	solution	NOUN
fcis-12005	98	10	,	,	PUNCT
fcis-12005	98	11	and	and	CCONJ
fcis-12005	98	12	future	future	ADJ
fcis-12005	98	13	directions	direction	NOUN
fcis-12005	98	14	.	.	PUNCT
fcis-12005	99	1	journal	journal	NOUN
fcis-12005	99	2	of	of	ADP
fcis-12005	99	3	parallel	parallel	ADJ
fcis-12005	99	4	and	and	CCONJ
fcis-12005	99	5	distributed	distributed	ADJ
fcis-12005	99	6	computing	computing	NOUN
fcis-12005	99	7	,	,	PUNCT
fcis-12005	99	8	79	79	NUM
fcis-12005	99	9	-	-	SYM
fcis-12005	99	10	80	80	NUM
fcis-12005	99	11	,	,	PUNCT
fcis-12005	99	12	3–15	3–15	PROPN
fcis-12005	99	13	.	.	PUNCT
fcis-12005	100	1	[	[	X
fcis-12005	100	2	8	8	NUM
fcis-12005	100	3	]	]	X
fcis-12005	100	4	wenjie	wenjie	NOUN
fcis-12005	100	5	,	,	PUNCT
fcis-12005	100	6	wu	wu	PROPN
fcis-12005	100	7	,	,	PUNCT
fcis-12005	100	8	jianghao	jianghao	PROPN
fcis-12005	100	9	,	,	PUNCT
fcis-12005	100	10	wang	wang	PROPN
fcis-12005	100	11	,	,	PUNCT
fcis-12005	100	12	tianshi	tianshi	PROPN
fcis-12005	100	13	,	,	PUNCT
fcis-12005	100	14	&	&	CCONJ
fcis-12005	100	15	dai	dai	PROPN
fcis-12005	100	16	.	.	PUNCT
fcis-12005	101	1	(	(	PUNCT
fcis-12005	101	2	2016	2016	NUM
fcis-12005	101	3	)	)	PUNCT
fcis-12005	101	4	.	.	PUNCT
fcis-12005	102	1	the	the	DET
fcis-12005	102	2	geography	geography	NOUN
fcis-12005	102	3	of	of	ADP
fcis-12005	102	4	cultural	cultural	ADJ
fcis-12005	102	5	ties	tie	NOUN
fcis-12005	102	6	and	and	CCONJ
fcis-12005	102	7	human	human	ADJ
fcis-12005	102	8	mobility	mobility	NOUN
fcis-12005	102	9	:	:	PUNCT
fcis-12005	102	10	big	big	ADJ
fcis-12005	102	11	data	datum	NOUN
fcis-12005	102	12	in	in	ADP
fcis-12005	102	13	urban	urban	ADJ
fcis-12005	102	14	contexts	contexts	NOUN
fcis-12005	102	15	.	.	PUNCT
fcis-12005	103	1	annals	annal	NOUN
fcis-12005	103	2	of	of	ADP
fcis-12005	103	3	the	the	DET
fcis-12005	103	4	american	american	PROPN
fcis-12005	103	5	association	association	PROPN
fcis-12005	103	6	of	of	ADP
fcis-12005	103	7	geographers	geographer	NOUN
fcis-12005	103	8	.	.	PUNCT
fcis-12005	104	1	[	[	X
fcis-12005	104	2	9	9	NUM
fcis-12005	104	3	]	]	SYM
fcis-12005	104	4	miller	miller	PROPN
fcis-12005	104	5	,	,	PUNCT
fcis-12005	104	6	h.	h.	PROPN
fcis-12005	104	7	j.	j.	PROPN
fcis-12005	104	8	.	.	PUNCT
fcis-12005	105	1	(	(	PUNCT
fcis-12005	105	2	2015	2015	NUM
fcis-12005	105	3	)	)	PUNCT
fcis-12005	105	4	.	.	PUNCT
fcis-12005	106	1	selected	select	VERB
fcis-12005	106	2	keynote	keynote	NOUN
fcis-12005	106	3	speech	speech	NOUN
fcis-12005	106	4	abstracts	abstract	NOUN
fcis-12005	106	5	:	:	PUNCT
fcis-12005	106	6	datadriven	datadriven	ADJ
fcis-12005	106	7	geography	geography	NOUN
fcis-12005	106	8	:	:	PUNCT
fcis-12005	106	9	can	can	AUX
fcis-12005	106	10	we	we	PRON
fcis-12005	106	11	build	build	VERB
fcis-12005	106	12	geographic	geographic	ADJ
fcis-12005	106	13	knowledge	knowledge	NOUN
fcis-12005	106	14	from	from	ADP
fcis-12005	106	15	big	big	ADJ
fcis-12005	106	16	data	datum	NOUN
fcis-12005	106	17	?	?	PUNCT
fcis-12005	106	18	.	.	PUNCT
fcis-12005	107	1	ieee	ieee	PROPN
fcis-12005	107	2	international	international	PROPN
fcis-12005	107	3	conference	conference	PROPN
fcis-12005	107	4	on	on	ADP
fcis-12005	107	5	spatial	spatial	ADJ
fcis-12005	107	6	data	datum	NOUN
fcis-12005	107	7	mining	mining	NOUN
fcis-12005	107	8	&	&	CCONJ
fcis-12005	107	9	geographical	geographical	ADJ
fcis-12005	107	10	knowledge	knowledge	NOUN
fcis-12005	107	11	services	service	NOUN
fcis-12005	107	12	.	.	PUNCT
fcis-12005	108	1	ieee	ieee	PROPN
fcis-12005	108	2	.	.	PUNCT
fcis-12005	109	1	[	[	X
fcis-12005	109	2	10	10	NUM
fcis-12005	109	3	]	]	X
fcis-12005	109	4	elvidge	elvidge	NOUN
fcis-12005	109	5	,	,	PUNCT
fcis-12005	109	6	c.	c.	PROPN
fcis-12005	109	7	d.	d.	PROPN
fcis-12005	109	8	,	,	PUNCT
fcis-12005	109	9	zhizhin	zhizhin	PROPN
fcis-12005	109	10	,	,	PUNCT
fcis-12005	109	11	m.	m.	NOUN
fcis-12005	109	12	,	,	PUNCT
fcis-12005	109	13	&	&	CCONJ
fcis-12005	109	14	zhizhen	zhizhen	PROPN
fcis-12005	109	15	,	,	PUNCT
fcis-12005	109	16	l.	l.	PROPN
fcis-12005	109	17	(	(	PUNCT
fcis-12005	109	18	2017	2017	NUM
fcis-12005	109	19	)	)	PUNCT
fcis-12005	109	20	.	.	PUNCT
fcis-12005	110	1	using	use	VERB
fcis-12005	110	2	random	random	ADJ
fcis-12005	110	3	forests	forest	NOUN
fcis-12005	110	4	to	to	PART
fcis-12005	110	5	estimate	estimate	VERB
fcis-12005	110	6	the	the	DET
fcis-12005	110	7	distribution	distribution	NOUN
fcis-12005	110	8	of	of	ADP
fcis-12005	110	9	impervious	impervious	ADJ
fcis-12005	110	10	surface	surface	NOUN
fcis-12005	110	11	area	area	NOUN
fcis-12005	110	12	based	base	VERB
fcis-12005	110	13	on	on	ADP
fcis-12005	110	14	remotely	remotely	ADV
fcis-12005	110	15	sensed	sense	VERB
fcis-12005	110	16	imagery	imagery	NOUN
fcis-12005	110	17	and	and	CCONJ
fcis-12005	110	18	ancillary	ancillary	ADJ
fcis-12005	110	19	data	datum	NOUN
fcis-12005	110	20	.	.	PUNCT
fcis-12005	111	1	remote	remote	ADJ
fcis-12005	111	2	sensing	sensing	NOUN
fcis-12005	111	3	of	of	ADP
fcis-12005	111	4	environment	environment	NOUN
fcis-12005	111	5	,	,	PUNCT
fcis-12005	111	6	193	193	NUM
fcis-12005	111	7	,	,	PUNCT
fcis-12005	111	8	149	149	NUM
fcis-12005	111	9	-	-	SYM
fcis-12005	111	10	163	163	NUM
fcis-12005	111	11	.	.	PUNCT
fcis-12005	112	1	[	[	X
fcis-12005	112	2	11	11	NUM
fcis-12005	112	3	]	]	SYM
fcis-12005	112	4	li	li	PROPN
fcis-12005	112	5	,	,	PUNCT
fcis-12005	112	6	y.	y.	PROPN
fcis-12005	112	7	,	,	PUNCT
fcis-12005	112	8	&	&	CCONJ
fcis-12005	112	9	chen	chen	PROPN
fcis-12005	112	10	,	,	PUNCT
fcis-12005	112	11	y.	y.	PROPN
fcis-12005	112	12	(	(	PUNCT
fcis-12005	112	13	2021	2021	NUM
fcis-12005	112	14	)	)	PUNCT
fcis-12005	112	15	.	.	PUNCT
fcis-12005	113	1	random	random	ADJ
fcis-12005	113	2	forest	forest	NOUN
fcis-12005	113	3	:	:	PUNCT
fcis-12005	113	4	a	a	DET
fcis-12005	113	5	literature	literature	PROPN
fcis-12005	113	6	review	review	NOUN
fcis-12005	113	7	.	.	PUNCT
fcis-12005	114	1	journal	journal	NOUN
fcis-12005	114	2	of	of	ADP
fcis-12005	114	3	big	big	ADJ
fcis-12005	114	4	data	datum	NOUN
fcis-12005	114	5	science	science	NOUN
fcis-12005	114	6	and	and	CCONJ
fcis-12005	114	7	engineering	engineering	NOUN
fcis-12005	114	8	,	,	PUNCT
fcis-12005	114	9	6(3	6(3	NUM
fcis-12005	114	10	)	)	PUNCT
fcis-12005	114	11	,	,	PUNCT
fcis-12005	114	12	67	67	NUM
fcis-12005	114	13	-	-	SYM
fcis-12005	114	14	79	79	NUM
fcis-12005	114	15	.	.	PUNCT
fcis-12005	115	1	[	[	X
fcis-12005	115	2	12	12	NUM
fcis-12005	115	3	]	]	PUNCT
fcis-12005	115	4	.gamba	.gamba	ADP
fcis-12005	115	5	,	,	PUNCT
fcis-12005	115	6	a.	a.	NOUN
fcis-12005	115	7	,	,	PUNCT
fcis-12005	115	8	conti	conti	PROPN
fcis-12005	115	9	,	,	PUNCT
fcis-12005	115	10	m.	m.	NOUN
fcis-12005	115	11	,	,	PUNCT
fcis-12005	115	12	&	&	CCONJ
fcis-12005	115	13	rossi	rossi	PROPN
fcis-12005	115	14	,	,	PUNCT
fcis-12005	115	15	l.	l.	PROPN
fcis-12005	115	16	(	(	PUNCT
fcis-12005	115	17	2019	2019	NUM
fcis-12005	115	18	)	)	PUNCT
fcis-12005	115	19	.	.	PUNCT
fcis-12005	116	1	random	random	ADJ
fcis-12005	116	2	forests	forest	NOUN
fcis-12005	116	3	for	for	ADP
fcis-12005	116	4	time	time	NOUN
fcis-12005	116	5	series	series	PROPN
fcis-12005	116	6	forecasting	forecasting	PROPN
fcis-12005	116	7	:	:	PUNCT
fcis-12005	116	8	a	a	DET
fcis-12005	116	9	review	review	NOUN
fcis-12005	116	10	of	of	ADP
fcis-12005	116	11	applications	application	NOUN
fcis-12005	116	12	and	and	CCONJ
fcis-12005	116	13	ensemble	ensemble	ADJ
fcis-12005	116	14	designs	design	NOUN
fcis-12005	116	15	.	.	PUNCT
fcis-12005	117	1	data	datum	NOUN
fcis-12005	117	2	mining	mining	NOUN
fcis-12005	117	3	knowl	knowl	PROPN
fcis-12005	117	4	.	.	PUNCT
fcis-12005	118	1	disc	disc	PROPN
fcis-12005	118	2	.	.	PROPN
fcis-12005	118	3	,	,	PUNCT
fcis-12005	118	4	23(4	23(4	NOUN
fcis-12005	118	5	)	)	PUNCT
fcis-12005	118	6	,	,	PUNCT
fcis-12005	118	7	17691797	17691797	NUM
fcis-12005	118	8	.	.	PUNCT
fcis-12005	119	1	[	[	X
fcis-12005	119	2	13	13	NUM
fcis-12005	119	3	]	]	X
fcis-12005	119	4	pérez	pérez	NOUN
fcis-12005	119	5	-	-	PUNCT
fcis-12005	119	6	lombard	lombard	NOUN
fcis-12005	119	7	,	,	PUNCT
fcis-12005	119	8	l.	l.	PROPN
fcis-12005	119	9	,	,	PUNCT
fcis-12005	119	10	sánchez	sánchez	PROPN
fcis-12005	119	11	-	-	PUNCT
fcis-12005	119	12	romero	romero	PROPN
fcis-12005	119	13	,	,	PUNCT
fcis-12005	119	14	j.	j.	PROPN
fcis-12005	119	15	m.	m.	PROPN
fcis-12005	119	16	,	,	PUNCT
fcis-12005	119	17	&	&	CCONJ
fcis-12005	119	18	pinto	pinto	PROPN
fcis-12005	119	19	,	,	PUNCT
fcis-12005	119	20	j.	j.	PROPN
fcis-12005	119	21	(	(	PUNCT
fcis-12005	119	22	2018	2018	NUM
fcis-12005	119	23	)	)	PUNCT
fcis-12005	119	24	.	.	PUNCT
fcis-12005	120	1	using	use	VERB
fcis-12005	120	2	random	random	ADJ
fcis-12005	120	3	forest	forest	NOUN
fcis-12005	120	4	to	to	PART
fcis-12005	120	5	predict	predict	VERB
fcis-12005	120	6	the	the	DET
fcis-12005	120	7	number	number	NOUN
fcis-12005	120	8	of	of	ADP
fcis-12005	120	9	visitors	visitor	NOUN
fcis-12005	120	10	in	in	ADP
fcis-12005	120	11	cultural	cultural	ADJ
fcis-12005	120	12	attractions	attraction	NOUN
fcis-12005	120	13	.	.	PUNCT
fcis-12005	121	1	tourism	tourism	NOUN
fcis-12005	121	2	management	management	NOUN
fcis-12005	121	3	,	,	PUNCT
fcis-12005	121	4	62	62	NUM
fcis-12005	121	5	,	,	PUNCT
fcis-12005	121	6	45	45	NUM
fcis-12005	121	7	-	-	SYM
fcis-12005	121	8	56	56	NUM
fcis-12005	121	9	.	.	PUNCT
fcis-12005	122	1	[	[	X
fcis-12005	122	2	14	14	NUM
fcis-12005	122	3	]	]	X
fcis-12005	122	4	zhao	zhao	X
fcis-12005	122	5	,	,	PUNCT
fcis-12005	122	6	x.	x.	PROPN
fcis-12005	122	7	,	,	PUNCT
fcis-12005	122	8	wang	wang	PROPN
fcis-12005	122	9	,	,	PUNCT
fcis-12005	122	10	w.	w.	PROPN
fcis-12005	122	11	,	,	PUNCT
fcis-12005	122	12	&	&	CCONJ
fcis-12005	122	13	wu	wu	PROPN
fcis-12005	122	14	,	,	PUNCT
fcis-12005	122	15	f.	f.	PROPN
fcis-12005	122	16	(	(	PUNCT
fcis-12005	122	17	2021	2021	NUM
fcis-12005	122	18	)	)	PUNCT
fcis-12005	122	19	.	.	PUNCT
fcis-12005	123	1	spatialization	spatialization	NOUN
fcis-12005	123	2	of	of	ADP
fcis-12005	123	3	population	population	NOUN
fcis-12005	123	4	distribution	distribution	NOUN
fcis-12005	123	5	based	base	VERB
fcis-12005	123	6	on	on	ADP
fcis-12005	123	7	remote	remote	ADJ
fcis-12005	123	8	sensing	sensing	NOUN
fcis-12005	123	9	images	image	NOUN
fcis-12005	123	10	and	and	CCONJ
fcis-12005	123	11	110	110	NUM
fcis-12005	123	12	gis	gis	NOUN
fcis-12005	123	13	data	datum	NOUN
fcis-12005	123	14	:	:	PUNCT
fcis-12005	123	15	a	a	DET
fcis-12005	123	16	case	case	NOUN
fcis-12005	123	17	study	study	NOUN
fcis-12005	123	18	in	in	ADP
fcis-12005	123	19	china	china	PROPN
fcis-12005	123	20	.	.	PUNCT
fcis-12005	124	1	remote	remote	ADJ
fcis-12005	124	2	sensing	sensing	NOUN
fcis-12005	124	3	,	,	PUNCT
fcis-12005	124	4	13(16	13(16	NUM
fcis-12005	124	5	)	)	PUNCT
fcis-12005	124	6	,	,	PUNCT
fcis-12005	124	7	3480.ieee	3480.ieee	PRON
fcis-12005	124	8	criteria	criterion	NOUN
fcis-12005	124	9	for	for	ADP
fcis-12005	124	10	class	class	NOUN
fcis-12005	124	11	ie	ie	X
fcis-12005	124	12	electric	electric	PROPN
fcis-12005	124	13	systems	system	NOUN
fcis-12005	124	14	(	(	PUNCT
fcis-12005	124	15	standards	standard	NOUN
fcis-12005	124	16	style	style	NOUN
fcis-12005	124	17	)	)	PUNCT
fcis-12005	124	18	,	,	PUNCT
fcis-12005	124	19	ieee	ieee	NOUN
fcis-12005	124	20	standard	standard	NOUN
fcis-12005	124	21	308	308	NUM
fcis-12005	124	22	,	,	PUNCT
fcis-12005	124	23	1969	1969	NUM
fcis-12005	124	24	.	.	PUNCT
fcis-12005	125	1	[	[	X
fcis-12005	125	2	15	15	NUM
fcis-12005	125	3	]	]	X
fcis-12005	125	4	xu	xu	PROPN
fcis-12005	125	5	,	,	PUNCT
fcis-12005	125	6	z.	z.	PROPN
fcis-12005	125	7	,	,	PUNCT
fcis-12005	125	8	zhang	zhang	PROPN
fcis-12005	125	9	,	,	PUNCT
fcis-12005	125	10	x.	x.	PROPN
fcis-12005	125	11	,	,	PUNCT
fcis-12005	125	12	&	&	CCONJ
fcis-12005	125	13	wu	wu	PROPN
fcis-12005	125	14	,	,	PUNCT
fcis-12005	125	15	x.	x.	PROPN
fcis-12005	125	16	(	(	PUNCT
fcis-12005	125	17	2020	2020	NUM
fcis-12005	125	18	)	)	PUNCT
fcis-12005	125	19	.	.	PUNCT
fcis-12005	126	1	integrating	integrate	VERB
fcis-12005	126	2	remote	remote	ADJ
fcis-12005	126	3	sensing	sensing	NOUN
fcis-12005	126	4	images	image	NOUN
fcis-12005	126	5	and	and	CCONJ
fcis-12005	126	6	geo	geo	PROPN
fcis-12005	126	7	-	-	PUNCT
fcis-12005	126	8	social	social	ADJ
fcis-12005	126	9	data	datum	NOUN
fcis-12005	126	10	for	for	ADP
fcis-12005	126	11	population	population	NOUN
fcis-12005	126	12	distribution	distribution	NOUN
fcis-12005	126	13	prediction	prediction	NOUN
fcis-12005	126	14	:	:	PUNCT
fcis-12005	126	15	a	a	DET
fcis-12005	126	16	deep	deep	ADJ
fcis-12005	126	17	learning	learning	NOUN
fcis-12005	126	18	approach	approach	NOUN
fcis-12005	126	19	.	.	PUNCT
fcis-12005	127	1	isprs	isprs	PROPN
fcis-12005	127	2	international	international	PROPN
fcis-12005	127	3	journal	journal	PROPN
fcis-12005	127	4	of	of	ADP
fcis-12005	127	5	geo	geo	PROPN
fcis-12005	127	6	-	-	PUNCT
fcis-12005	127	7	information	information	NOUN
fcis-12005	127	8	,	,	PUNCT
fcis-12005	127	9	8(5	8(5	NUM
fcis-12005	127	10	)	)	PUNCT
fcis-12005	127	11	,	,	PUNCT
fcis-12005	127	12	192.r	192.r	PROPN
fcis-12005	127	13	.	.	PUNCT
fcis-12005	128	1	e.	e.	PROPN
fcis-12005	128	2	haskell	haskell	PROPN
fcis-12005	128	3	and	and	CCONJ
fcis-12005	128	4	c.	c.	PROPN
fcis-12005	128	5	t.	t.	PROPN
fcis-12005	128	6	case	case	NOUN
fcis-12005	128	7	,	,	PUNCT
fcis-12005	128	8	“	"	PUNCT
fcis-12005	128	9	transient	transient	ADJ
fcis-12005	128	10	signal	signal	NOUN
fcis-12005	128	11	propagation	propagation	NOUN
fcis-12005	128	12	in	in	ADP
fcis-12005	128	13	lossless	lossless	ADJ
fcis-12005	128	14	isotropic	isotropic	NOUN
fcis-12005	128	15	plasmas	plasma	NOUN
fcis-12005	128	16	(	(	PUNCT
fcis-12005	128	17	report	report	NOUN
fcis-12005	128	18	style	style	NOUN
fcis-12005	128	19	)	)	PUNCT
fcis-12005	128	20	,	,	PUNCT
fcis-12005	128	21	”	"	PUNCT
fcis-12005	128	22	usaf	usaf	PROPN
fcis-12005	128	23	cambridge	cambridge	PROPN
fcis-12005	128	24	res	res	PROPN
fcis-12005	128	25	.	.	PUNCT
fcis-12005	129	1	lab	lab	PROPN
fcis-12005	129	2	.	.	PROPN
fcis-12005	129	3	,	,	PUNCT
fcis-12005	129	4	cambridge	cambridge	PROPN
fcis-12005	129	5	,	,	PUNCT
fcis-12005	129	6	ma	ma	PROPN
fcis-12005	129	7	rep	rep	PROPN
fcis-12005	129	8	.	.	PROPN
fcis-12005	129	9	arcrl-66	arcrl-66	PROPN
fcis-12005	129	10	-	-	PUNCT
fcis-12005	129	11	234	234	NUM
fcis-12005	129	12	(	(	PUNCT
fcis-12005	129	13	ii	ii	NOUN
fcis-12005	129	14	)	)	PUNCT
fcis-12005	129	15	,	,	PUNCT
fcis-12005	129	16	1994	1994	NUM
fcis-12005	129	17	,	,	PUNCT
fcis-12005	129	18	vol	vol	NOUN
fcis-12005	129	19	.	.	NOUN
fcis-12005	130	1	2	2	NUM
fcis-12005	130	2	.	.	PUNCT
fcis-12005	131	1	[	[	X
fcis-12005	131	2	16	16	NUM
fcis-12005	131	3	]	]	X
fcis-12005	131	4	wang	wang	PROPN
fcis-12005	131	5	,	,	PUNCT
fcis-12005	131	6	y.	y.	PROPN
fcis-12005	131	7	,	,	PUNCT
fcis-12005	131	8	he	he	PRON
fcis-12005	131	9	,	,	PUNCT
fcis-12005	131	10	q.	q.	PROPN
fcis-12005	131	11	,	,	PUNCT
fcis-12005	131	12	&	&	CCONJ
fcis-12005	131	13	wu	wu	PROPN
fcis-12005	131	14	,	,	PUNCT
fcis-12005	131	15	j.	j.	PROPN
fcis-12005	131	16	(	(	PUNCT
fcis-12005	131	17	2019	2019	NUM
fcis-12005	131	18	)	)	PUNCT
fcis-12005	131	19	.	.	PUNCT
fcis-12005	132	1	predicting	predict	VERB
fcis-12005	132	2	the	the	DET
fcis-12005	132	3	spatial	spatial	ADJ
fcis-12005	132	4	distribution	distribution	NOUN
fcis-12005	132	5	of	of	ADP
fcis-12005	132	6	population	population	NOUN
fcis-12005	132	7	using	use	VERB
fcis-12005	132	8	remote	remote	ADJ
fcis-12005	132	9	sensing	sensing	NOUN
fcis-12005	132	10	images	image	NOUN
fcis-12005	132	11	and	and	CCONJ
fcis-12005	132	12	machine	machine	NOUN
fcis-12005	132	13	learning	learning	NOUN
fcis-12005	132	14	algorithms	algorithm	NOUN
fcis-12005	132	15	:	:	PUNCT
fcis-12005	132	16	a	a	DET
fcis-12005	132	17	case	case	NOUN
fcis-12005	132	18	study	study	NOUN
fcis-12005	132	19	in	in	ADP
fcis-12005	132	20	china	china	PROPN
fcis-12005	132	21	.	.	PUNCT
fcis-12005	133	1	applied	apply	VERB
fcis-12005	133	2	sciences	science	NOUN
fcis-12005	133	3	,	,	PUNCT
fcis-12005	133	4	9(17	9(17	NUM
fcis-12005	133	5	)	)	PUNCT
fcis-12005	133	6	,	,	PUNCT
fcis-12005	133	7	3867	3867	NUM
fcis-12005	133	8	.	.	PUNCT
fcis-12005	134	1	[	[	X
fcis-12005	134	2	17	17	NUM
fcis-12005	134	3	]	]	X
fcis-12005	134	4	liu	liu	PROPN
fcis-12005	134	5	,	,	PUNCT
fcis-12005	134	6	y.	y.	PROPN
fcis-12005	134	7	,	,	PUNCT
fcis-12005	134	8	&	&	CCONJ
fcis-12005	134	9	wang	wang	PROPN
fcis-12005	134	10	,	,	PUNCT
fcis-12005	134	11	z.	z.	PROPN
fcis-12005	134	12	(	(	PUNCT
fcis-12005	134	13	2018	2018	NUM
fcis-12005	134	14	)	)	PUNCT
fcis-12005	134	15	.	.	PUNCT
fcis-12005	135	1	integrating	integrate	VERB
fcis-12005	135	2	remote	remote	ADJ
fcis-12005	135	3	sensing	sensing	NOUN
fcis-12005	135	4	images	image	NOUN
fcis-12005	135	5	and	and	CCONJ
fcis-12005	135	6	mobile	mobile	ADJ
fcis-12005	135	7	phone	phone	NOUN
fcis-12005	135	8	data	datum	NOUN
fcis-12005	135	9	for	for	ADP
fcis-12005	135	10	population	population	NOUN
fcis-12005	135	11	distribution	distribution	NOUN
fcis-12005	135	12	prediction	prediction	NOUN
fcis-12005	135	13	:	:	PUNCT
fcis-12005	135	14	a	a	DET
fcis-12005	135	15	random	random	ADJ
fcis-12005	135	16	forest	forest	NOUN
fcis-12005	135	17	approach	approach	NOUN
fcis-12005	135	18	.	.	PUNCT
fcis-12005	136	1	remote	remote	ADJ
fcis-12005	136	2	sensing	sense	VERB
fcis-12005	136	3	letters	letter	NOUN
fcis-12005	136	4	,	,	PUNCT
fcis-12005	136	5	9(9	9(9	NUM
fcis-12005	136	6	)	)	PUNCT
fcis-12005	136	7	,	,	PUNCT
fcis-12005	136	8	743	743	NUM
fcis-12005	136	9	-	-	SYM
fcis-12005	136	10	752	752	NUM
fcis-12005	136	11	.	.	PUNCT