id	sid	tid	token	lemma	pos
ajst-24882	1	1	academic	academic	ADJ
ajst-24882	1	2	journal	journal	NOUN
ajst-24882	1	3	of	of	ADP
ajst-24882	1	4	science	science	NOUN
ajst-24882	1	5	and	and	CCONJ
ajst-24882	1	6	technology	technology	NOUN
ajst-24882	1	7	issn	issn	NOUN
ajst-24882	1	8	:	:	PUNCT
ajst-24882	1	9	2771	2771	NUM
ajst-24882	1	10	-	-	SYM
ajst-24882	1	11	3032	3032	NUM
ajst-24882	1	12	|	|	NOUN
ajst-24882	1	13	vol	vol	NOUN
ajst-24882	1	14	.	.	PROPN
ajst-24882	2	1	12	12	NUM
ajst-24882	2	2	,	,	PUNCT
ajst-24882	2	3	no	no	INTJ
ajst-24882	3	1	.	.	NOUN
ajst-24882	3	2	1	1	NUM
ajst-24882	3	3	,	,	PUNCT
ajst-24882	3	4	2024	2024	NUM
ajst-24882	3	5	104	104	NUM
ajst-24882	3	6	landslide	landslide	NOUN
ajst-24882	3	7	susceptibility	susceptibility	NOUN
ajst-24882	3	8	assessment	assessment	NOUN
ajst-24882	3	9	analysis	analysis	NOUN
ajst-24882	3	10	based	base	VERB
ajst-24882	3	11	on	on	ADP
ajst-24882	3	12	iv	iv	NUM
ajst-24882	3	13	and	and	CCONJ
ajst-24882	3	14	iv‐ioe	iv‐ioe	NOUN
ajst-24882	3	15	models	model	NOUN
ajst-24882	3	16	:	:	PUNCT
ajst-24882	3	17	a	a	DET
ajst-24882	3	18	case	case	NOUN
ajst-24882	3	19	study	study	NOUN
ajst-24882	3	20	of	of	ADP
ajst-24882	3	21	mao	mao	PROPN
ajst-24882	3	22	county	county	PROPN
ajst-24882	3	23	fulu	fulu	VERB
ajst-24882	3	24	sun	sun	NOUN
ajst-24882	3	25	1	1	NUM
ajst-24882	3	26	,	,	PUNCT
ajst-24882	3	27	*	*	PUNCT
ajst-24882	3	28	,	,	PUNCT
ajst-24882	3	29	yanan	yanan	PROPN
ajst-24882	3	30	lv	lv	PROPN
ajst-24882	3	31	2	2	NUM
ajst-24882	3	32	1	1	NUM
ajst-24882	3	33	institute	institute	NOUN
ajst-24882	3	34	of	of	ADP
ajst-24882	3	35	disaster	disaster	NOUN
ajst-24882	3	36	prevention	prevention	NOUN
ajst-24882	3	37	,	,	PUNCT
ajst-24882	3	38	beijing	beijing	PROPN
ajst-24882	3	39	,	,	PUNCT
ajst-24882	3	40	china	china	PROPN
ajst-24882	3	41	2	2	NUM
ajst-24882	3	42	zhongke	zhongke	PROPN
ajst-24882	3	43	pengyang	pengyang	PROPN
ajst-24882	3	44	(	(	PUNCT
ajst-24882	3	45	hangzhou	hangzhou	PROPN
ajst-24882	3	46	)	)	PUNCT
ajst-24882	3	47	technology	technology	PROPN
ajst-24882	3	48	co.	co.	PROPN
ajst-24882	3	49	,	,	PUNCT
ajst-24882	3	50	ltd	ltd	PROPN
ajst-24882	3	51	,	,	PUNCT
ajst-24882	3	52	hangzhou	hangzhou	PROPN
ajst-24882	3	53	,	,	PUNCT
ajst-24882	3	54	china	china	PROPN
ajst-24882	3	55	*	*	PUNCT
ajst-24882	3	56	corresponding	correspond	VERB
ajst-24882	3	57	author	author	NOUN
ajst-24882	3	58	:	:	PUNCT
ajst-24882	3	59	fulu	fulu	VERB
ajst-24882	3	60	sun	sun	NOUN
ajst-24882	3	61	abstract	abstract	NOUN
ajst-24882	3	62	:	:	PUNCT
ajst-24882	3	63	taking	take	VERB
ajst-24882	3	64	mao	mao	PROPN
ajst-24882	3	65	county	county	NOUN
ajst-24882	3	66	as	as	ADP
ajst-24882	3	67	the	the	DET
ajst-24882	3	68	study	study	NOUN
ajst-24882	3	69	area	area	NOUN
ajst-24882	3	70	,	,	PUNCT
ajst-24882	3	71	and	and	CCONJ
ajst-24882	3	72	based	base	VERB
ajst-24882	3	73	on	on	ADP
ajst-24882	3	74	existing	exist	VERB
ajst-24882	3	75	data	datum	NOUN
ajst-24882	3	76	combined	combine	VERB
ajst-24882	3	77	with	with	ADP
ajst-24882	3	78	the	the	DET
ajst-24882	3	79	characteristics	characteristic	NOUN
ajst-24882	3	80	of	of	ADP
ajst-24882	3	81	landslide	landslide	NOUN
ajst-24882	3	82	development	development	NOUN
ajst-24882	3	83	in	in	ADP
ajst-24882	3	84	the	the	DET
ajst-24882	3	85	study	study	NOUN
ajst-24882	3	86	area	area	NOUN
ajst-24882	3	87	,	,	PUNCT
ajst-24882	3	88	six	six	NUM
ajst-24882	3	89	evaluation	evaluation	NOUN
ajst-24882	3	90	factors	factor	NOUN
ajst-24882	3	91	including	include	VERB
ajst-24882	3	92	elevation	elevation	NOUN
ajst-24882	3	93	,	,	PUNCT
ajst-24882	3	94	slope	slope	NOUN
ajst-24882	3	95	gradient	gradient	NOUN
ajst-24882	3	96	,	,	PUNCT
ajst-24882	3	97	aspect	aspect	NOUN
ajst-24882	3	98	,	,	PUNCT
ajst-24882	3	99	land	land	NOUN
ajst-24882	3	100	use	use	NOUN
ajst-24882	3	101	,	,	PUNCT
ajst-24882	3	102	ndvi	ndvi	PROPN
ajst-24882	3	103	(	(	PUNCT
ajst-24882	3	104	normalized	normalize	VERB
ajst-24882	3	105	difference	difference	NOUN
ajst-24882	3	106	vegetation	vegetation	NOUN
ajst-24882	3	107	index	index	NOUN
ajst-24882	3	108	)	)	PUNCT
ajst-24882	3	109	,	,	PUNCT
ajst-24882	3	110	and	and	CCONJ
ajst-24882	3	111	rainfall	rainfall	NOUN
ajst-24882	3	112	were	be	AUX
ajst-24882	3	113	selected	select	VERB
ajst-24882	3	114	.	.	PUNCT
ajst-24882	4	1	an	an	DET
ajst-24882	4	2	independence	independence	NOUN
ajst-24882	4	3	test	test	NOUN
ajst-24882	4	4	was	be	AUX
ajst-24882	4	5	conducted	conduct	VERB
ajst-24882	4	6	using	use	VERB
ajst-24882	4	7	pearson	pearson	PROPN
ajst-24882	4	8	correlation	correlation	NOUN
ajst-24882	4	9	analysis	analysis	NOUN
ajst-24882	4	10	to	to	PART
ajst-24882	4	11	establish	establish	VERB
ajst-24882	4	12	an	an	DET
ajst-24882	4	13	evaluation	evaluation	NOUN
ajst-24882	4	14	index	index	NOUN
ajst-24882	4	15	system	system	NOUN
ajst-24882	4	16	for	for	ADP
ajst-24882	4	17	landslide	landslide	NOUN
ajst-24882	4	18	disaster	disaster	NOUN
ajst-24882	4	19	susceptibility	susceptibility	NOUN
ajst-24882	4	20	.	.	PUNCT
ajst-24882	5	1	the	the	DET
ajst-24882	5	2	study	study	NOUN
ajst-24882	5	3	on	on	ADP
ajst-24882	5	4	the	the	DET
ajst-24882	5	5	susceptibility	susceptibility	NOUN
ajst-24882	5	6	of	of	ADP
ajst-24882	5	7	landslide	landslide	NOUN
ajst-24882	5	8	geological	geological	ADJ
ajst-24882	5	9	disasters	disaster	NOUN
ajst-24882	5	10	was	be	AUX
ajst-24882	5	11	carried	carry	VERB
ajst-24882	5	12	out	out	ADP
ajst-24882	5	13	using	use	VERB
ajst-24882	5	14	both	both	CCONJ
ajst-24882	5	15	the	the	DET
ajst-24882	5	16	information	information	NOUN
ajst-24882	5	17	quantity	quantity	NOUN
ajst-24882	5	18	model	model	NOUN
ajst-24882	5	19	and	and	CCONJ
ajst-24882	5	20	the	the	DET
ajst-24882	5	21	information	information	NOUN
ajst-24882	5	22	quantity	quantity	NOUN
ajst-24882	5	23	-	-	PUNCT
ajst-24882	5	24	entropy	entropy	NOUN
ajst-24882	5	25	index	index	NOUN
ajst-24882	5	26	model	model	NOUN
ajst-24882	5	27	.	.	PUNCT
ajst-24882	6	1	the	the	DET
ajst-24882	6	2	evaluation	evaluation	NOUN
ajst-24882	6	3	results	result	NOUN
ajst-24882	6	4	were	be	AUX
ajst-24882	6	5	divided	divide	VERB
ajst-24882	6	6	into	into	ADP
ajst-24882	6	7	five	five	NUM
ajst-24882	6	8	levels	level	NOUN
ajst-24882	6	9	—	—	PUNCT
ajst-24882	6	10	extremely	extremely	ADV
ajst-24882	6	11	low	low	ADJ
ajst-24882	6	12	,	,	PUNCT
ajst-24882	6	13	low	low	ADJ
ajst-24882	6	14	,	,	PUNCT
ajst-24882	6	15	medium	medium	ADJ
ajst-24882	6	16	,	,	PUNCT
ajst-24882	6	17	high	high	ADJ
ajst-24882	6	18	,	,	PUNCT
ajst-24882	6	19	and	and	CCONJ
ajst-24882	6	20	very	very	ADV
ajst-24882	6	21	high	high	ADJ
ajst-24882	6	22	—	—	PUNCT
ajst-24882	6	23	using	use	VERB
ajst-24882	6	24	the	the	DET
ajst-24882	6	25	natural	natural	ADJ
ajst-24882	6	26	break	break	NOUN
ajst-24882	6	27	method	method	NOUN
ajst-24882	6	28	based	base	VERB
ajst-24882	6	29	on	on	ADP
ajst-24882	6	30	gis	gis	PROPN
ajst-24882	6	31	.	.	PUNCT
ajst-24882	7	1	the	the	DET
ajst-24882	7	2	susceptibility	susceptibility	NOUN
ajst-24882	7	3	of	of	ADP
ajst-24882	7	4	landslide	landslide	NOUN
ajst-24882	7	5	geological	geological	ADJ
ajst-24882	7	6	disasters	disaster	NOUN
ajst-24882	7	7	in	in	ADP
ajst-24882	7	8	the	the	DET
ajst-24882	7	9	study	study	NOUN
ajst-24882	7	10	area	area	NOUN
ajst-24882	7	11	was	be	AUX
ajst-24882	7	12	clarified	clarify	VERB
ajst-24882	7	13	,	,	PUNCT
ajst-24882	7	14	and	and	CCONJ
ajst-24882	7	15	the	the	DET
ajst-24882	7	16	accuracy	accuracy	NOUN
ajst-24882	7	17	was	be	AUX
ajst-24882	7	18	tested	test	VERB
ajst-24882	7	19	using	use	VERB
ajst-24882	7	20	the	the	DET
ajst-24882	7	21	roc	roc	PROPN
ajst-24882	7	22	curve	curve	NOUN
ajst-24882	7	23	.	.	PUNCT
ajst-24882	8	1	the	the	DET
ajst-24882	8	2	experimental	experimental	ADJ
ajst-24882	8	3	results	result	NOUN
ajst-24882	8	4	show	show	VERB
ajst-24882	8	5	that	that	SCONJ
ajst-24882	8	6	the	the	DET
ajst-24882	8	7	auc	auc	ADJ
ajst-24882	8	8	values	value	NOUN
ajst-24882	8	9	of	of	ADP
ajst-24882	8	10	the	the	DET
ajst-24882	8	11	two	two	NUM
ajst-24882	8	12	evaluation	evaluation	NOUN
ajst-24882	8	13	models	model	NOUN
ajst-24882	8	14	are	be	AUX
ajst-24882	8	15	0.847	0.847	NUM
ajst-24882	8	16	and	and	CCONJ
ajst-24882	8	17	0.865	0.865	NUM
ajst-24882	8	18	,	,	PUNCT
ajst-24882	8	19	respectively	respectively	ADV
ajst-24882	8	20	,	,	PUNCT
ajst-24882	8	21	indicating	indicate	VERB
ajst-24882	8	22	that	that	SCONJ
ajst-24882	8	23	the	the	DET
ajst-24882	8	24	information	information	NOUN
ajst-24882	8	25	quantity	quantity	NOUN
ajst-24882	8	26	-	-	PUNCT
ajst-24882	8	27	entropy	entropy	NOUN
ajst-24882	8	28	index	index	NOUN
ajst-24882	8	29	model	model	NOUN
ajst-24882	8	30	is	be	AUX
ajst-24882	8	31	superior	superior	ADJ
ajst-24882	8	32	to	to	ADP
ajst-24882	8	33	the	the	DET
ajst-24882	8	34	information	information	NOUN
ajst-24882	8	35	quantity	quantity	NOUN
ajst-24882	8	36	model	model	NOUN
ajst-24882	8	37	and	and	CCONJ
ajst-24882	8	38	has	have	VERB
ajst-24882	8	39	stronger	strong	ADJ
ajst-24882	8	40	robustness	robustness	NOUN
ajst-24882	8	41	in	in	ADP
ajst-24882	8	42	predicting	predict	VERB
ajst-24882	8	43	the	the	DET
ajst-24882	8	44	accuracy	accuracy	NOUN
ajst-24882	8	45	of	of	ADP
ajst-24882	8	46	landslide	landslide	NOUN
ajst-24882	8	47	susceptibility	susceptibility	NOUN
ajst-24882	8	48	.	.	PUNCT
ajst-24882	9	1	keywords	keyword	NOUN
ajst-24882	9	2	:	:	PUNCT
ajst-24882	9	3	susceptibility	susceptibility	NOUN
ajst-24882	9	4	assessment	assessment	NOUN
ajst-24882	9	5	;	;	PUNCT
ajst-24882	9	6	information	information	NOUN
ajst-24882	9	7	quantity	quantity	NOUN
ajst-24882	9	8	model	model	NOUN
ajst-24882	9	9	;	;	PUNCT
ajst-24882	9	10	information	information	NOUN
ajst-24882	9	11	quantity	quantity	NOUN
ajst-24882	9	12	-	-	PUNCT
ajst-24882	9	13	entropy	entropy	NOUN
ajst-24882	9	14	model	model	NOUN
ajst-24882	9	15	;	;	PUNCT
ajst-24882	9	16	roc	roc	PROPN
ajst-24882	9	17	.	.	PROPN
ajst-24882	9	18	1	1	NUM
ajst-24882	9	19	.	.	X
ajst-24882	10	1	introduction	introduction	NOUN
ajst-24882	10	2	landslides	landslide	NOUN
ajst-24882	10	3	are	be	AUX
ajst-24882	10	4	one	one	NUM
ajst-24882	10	5	of	of	ADP
ajst-24882	10	6	the	the	DET
ajst-24882	10	7	common	common	ADJ
ajst-24882	10	8	geological	geological	ADJ
ajst-24882	10	9	disasters	disaster	NOUN
ajst-24882	10	10	in	in	ADP
ajst-24882	10	11	the	the	DET
ajst-24882	10	12	world	world	NOUN
ajst-24882	10	13	,	,	PUNCT
ajst-24882	10	14	causing	cause	VERB
ajst-24882	10	15	significant	significant	ADJ
ajst-24882	10	16	losses	loss	NOUN
ajst-24882	10	17	to	to	ADP
ajst-24882	10	18	construction	construction	NOUN
ajst-24882	10	19	and	and	CCONJ
ajst-24882	10	20	the	the	DET
ajst-24882	10	21	lives	life	NOUN
ajst-24882	10	22	and	and	CCONJ
ajst-24882	10	23	property	property	NOUN
ajst-24882	10	24	of	of	ADP
ajst-24882	10	25	people	people	NOUN
ajst-24882	10	26	in	in	ADP
ajst-24882	10	27	various	various	ADJ
ajst-24882	10	28	countries	country	NOUN
ajst-24882	10	29	around	around	ADP
ajst-24882	10	30	the	the	DET
ajst-24882	10	31	world	world	NOUN
ajst-24882	10	32	.	.	PUNCT
ajst-24882	11	1	landslides	landslide	NOUN
ajst-24882	11	2	are	be	AUX
ajst-24882	11	3	characterized	characterize	VERB
ajst-24882	11	4	by	by	ADP
ajst-24882	11	5	high	high	ADJ
ajst-24882	11	6	frequency	frequency	NOUN
ajst-24882	11	7	,	,	PUNCT
ajst-24882	11	8	wide	wide	ADJ
ajst-24882	11	9	distribution	distribution	NOUN
ajst-24882	11	10	,	,	PUNCT
ajst-24882	11	11	and	and	CCONJ
ajst-24882	11	12	strong	strong	ADJ
ajst-24882	11	13	destructive	destructive	ADJ
ajst-24882	11	14	power	power	NOUN
ajst-24882	11	15	.	.	PUNCT
ajst-24882	12	1	china	china	PROPN
ajst-24882	12	2	is	be	AUX
ajst-24882	12	3	one	one	NUM
ajst-24882	12	4	of	of	ADP
ajst-24882	12	5	the	the	DET
ajst-24882	12	6	countries	country	NOUN
ajst-24882	12	7	with	with	ADP
ajst-24882	12	8	the	the	DET
ajst-24882	12	9	most	most	ADV
ajst-24882	12	10	severe	severe	ADJ
ajst-24882	12	11	landslide	landslide	NOUN
ajst-24882	12	12	disasters	disaster	NOUN
ajst-24882	12	13	in	in	ADP
ajst-24882	12	14	the	the	DET
ajst-24882	12	15	world	world	NOUN
ajst-24882	12	16	.	.	PUNCT
ajst-24882	13	1	natural	natural	ADJ
ajst-24882	13	2	disasters	disaster	NOUN
ajst-24882	13	3	such	such	ADJ
ajst-24882	13	4	as	as	ADP
ajst-24882	13	5	rainfall	rainfall	NOUN
ajst-24882	13	6	,	,	PUNCT
ajst-24882	13	7	earthquakes	earthquake	NOUN
ajst-24882	13	8	,	,	PUNCT
ajst-24882	13	9	and	and	CCONJ
ajst-24882	13	10	floods	flood	NOUN
ajst-24882	13	11	often	often	ADV
ajst-24882	13	12	induce	induce	VERB
ajst-24882	13	13	a	a	DET
ajst-24882	13	14	series	series	NOUN
ajst-24882	13	15	of	of	ADP
ajst-24882	13	16	landslides	landslide	NOUN
ajst-24882	13	17	.	.	PUNCT
ajst-24882	14	1	due	due	ADP
ajst-24882	14	2	to	to	ADP
ajst-24882	14	3	the	the	DET
ajst-24882	14	4	sudden	sudden	ADJ
ajst-24882	14	5	occurrence	occurrence	NOUN
ajst-24882	14	6	of	of	ADP
ajst-24882	14	7	landslide	landslide	NOUN
ajst-24882	14	8	disasters	disaster	NOUN
ajst-24882	14	9	,	,	PUNCT
ajst-24882	14	10	the	the	DET
ajst-24882	14	11	precursors	precursor	NOUN
ajst-24882	14	12	are	be	AUX
ajst-24882	14	13	generally	generally	ADV
ajst-24882	14	14	not	not	PART
ajst-24882	14	15	obvious	obvious	ADJ
ajst-24882	14	16	,	,	PUNCT
ajst-24882	14	17	and	and	CCONJ
ajst-24882	14	18	most	most	ADJ
ajst-24882	14	19	activities	activity	NOUN
ajst-24882	14	20	are	be	AUX
ajst-24882	14	21	intense	intense	ADJ
ajst-24882	14	22	,	,	PUNCT
ajst-24882	14	23	making	make	VERB
ajst-24882	14	24	prediction	prediction	NOUN
ajst-24882	14	25	,	,	PUNCT
ajst-24882	14	26	forecasting	forecasting	NOUN
ajst-24882	14	27	,	,	PUNCT
ajst-24882	14	28	and	and	CCONJ
ajst-24882	14	29	prevention	prevention	NOUN
ajst-24882	14	30	difficult	difficult	ADJ
ajst-24882	14	31	,	,	PUNCT
ajst-24882	14	32	often	often	ADV
ajst-24882	14	33	catching	catch	VERB
ajst-24882	14	34	people	people	NOUN
ajst-24882	14	35	off	off	ADP
ajst-24882	14	36	guard	guard	NOUN
ajst-24882	14	37	and	and	CCONJ
ajst-24882	14	38	causing	cause	VERB
ajst-24882	14	39	serious	serious	ADJ
ajst-24882	14	40	damage	damage	NOUN
ajst-24882	14	41	and	and	CCONJ
ajst-24882	14	42	loss	loss	NOUN
ajst-24882	14	43	.	.	PUNCT
ajst-24882	15	1	landslide	landslide	NOUN
ajst-24882	15	2	susceptibility	susceptibility	NOUN
ajst-24882	15	3	[	[	X
ajst-24882	15	4	1	1	NUM
ajst-24882	15	5	]	]	PUNCT
ajst-24882	15	6	is	be	AUX
ajst-24882	15	7	based	base	VERB
ajst-24882	15	8	on	on	ADP
ajst-24882	15	9	the	the	DET
ajst-24882	15	10	historical	historical	ADJ
ajst-24882	15	11	landslide	landslide	NOUN
ajst-24882	15	12	data	datum	NOUN
ajst-24882	15	13	of	of	ADP
ajst-24882	15	14	the	the	DET
ajst-24882	15	15	study	study	NOUN
ajst-24882	15	16	area	area	NOUN
ajst-24882	15	17	,	,	PUNCT
ajst-24882	15	18	and	and	CCONJ
ajst-24882	15	19	comprehensively	comprehensively	ADV
ajst-24882	15	20	analyzes	analyze	VERB
ajst-24882	15	21	various	various	ADJ
ajst-24882	15	22	factors	factor	NOUN
ajst-24882	15	23	such	such	ADJ
ajst-24882	15	24	as	as	ADP
ajst-24882	15	25	topography	topography	NOUN
ajst-24882	15	26	,	,	PUNCT
ajst-24882	15	27	geology	geology	NOUN
ajst-24882	15	28	,	,	PUNCT
ajst-24882	15	29	hydrology	hydrology	NOUN
ajst-24882	15	30	,	,	PUNCT
ajst-24882	15	31	climate	climate	NOUN
ajst-24882	15	32	,	,	PUNCT
ajst-24882	15	33	and	and	CCONJ
ajst-24882	15	34	human	human	ADJ
ajst-24882	15	35	activities	activity	NOUN
ajst-24882	15	36	in	in	ADP
ajst-24882	15	37	the	the	DET
ajst-24882	15	38	study	study	NOUN
ajst-24882	15	39	area	area	NOUN
ajst-24882	15	40	to	to	PART
ajst-24882	15	41	determine	determine	VERB
ajst-24882	15	42	the	the	DET
ajst-24882	15	43	probability	probability	NOUN
ajst-24882	15	44	of	of	ADP
ajst-24882	15	45	landslides	landslide	NOUN
ajst-24882	15	46	occurring	occur	VERB
ajst-24882	15	47	in	in	ADP
ajst-24882	15	48	the	the	DET
ajst-24882	15	49	study	study	NOUN
ajst-24882	15	50	area	area	NOUN
ajst-24882	15	51	.	.	PUNCT
ajst-24882	16	1	carrying	carry	VERB
ajst-24882	16	2	out	out	ADP
ajst-24882	16	3	spatial	spatial	ADJ
ajst-24882	16	4	susceptibility	susceptibility	NOUN
ajst-24882	16	5	evaluation	evaluation	NOUN
ajst-24882	16	6	of	of	ADP
ajst-24882	16	7	landslide	landslide	NOUN
ajst-24882	16	8	disasters	disaster	NOUN
ajst-24882	16	9	can	can	AUX
ajst-24882	16	10	understand	understand	VERB
ajst-24882	16	11	"	"	PUNCT
ajst-24882	16	12	where	where	SCONJ
ajst-24882	16	13	landslides	landslide	NOUN
ajst-24882	16	14	are	be	AUX
ajst-24882	16	15	likely	likely	ADJ
ajst-24882	16	16	to	to	PART
ajst-24882	16	17	occur	occur	VERB
ajst-24882	16	18	"	"	PUNCT
ajst-24882	16	19	,	,	PUNCT
ajst-24882	16	20	so	so	SCONJ
ajst-24882	16	21	as	as	SCONJ
ajst-24882	16	22	to	to	PART
ajst-24882	16	23	achieve	achieve	VERB
ajst-24882	16	24	targeted	target	VERB
ajst-24882	16	25	prevention	prevention	NOUN
ajst-24882	16	26	and	and	CCONJ
ajst-24882	16	27	control	control	NOUN
ajst-24882	16	28	of	of	ADP
ajst-24882	16	29	landslide	landslide	NOUN
ajst-24882	16	30	disasters	disaster	NOUN
ajst-24882	16	31	,	,	PUNCT
ajst-24882	16	32	and	and	CCONJ
ajst-24882	16	33	form	form	VERB
ajst-24882	16	34	a	a	DET
ajst-24882	16	35	scientific	scientific	ADJ
ajst-24882	16	36	,	,	PUNCT
ajst-24882	16	37	complete	complete	ADJ
ajst-24882	16	38	,	,	PUNCT
ajst-24882	16	39	and	and	CCONJ
ajst-24882	16	40	practical	practical	ADJ
ajst-24882	16	41	susceptibility	susceptibility	NOUN
ajst-24882	16	42	evaluation	evaluation	NOUN
ajst-24882	16	43	system	system	NOUN
ajst-24882	16	44	,	,	PUNCT
ajst-24882	16	45	which	which	PRON
ajst-24882	16	46	is	be	AUX
ajst-24882	16	47	of	of	ADP
ajst-24882	16	48	great	great	ADJ
ajst-24882	16	49	significance	significance	NOUN
ajst-24882	16	50	for	for	ADP
ajst-24882	16	51	the	the	DET
ajst-24882	16	52	risk	risk	NOUN
ajst-24882	16	53	management	management	NOUN
ajst-24882	16	54	of	of	ADP
ajst-24882	16	55	landslide	landslide	NOUN
ajst-24882	16	56	disasters	disaster	NOUN
ajst-24882	16	57	,	,	PUNCT
ajst-24882	16	58	the	the	DET
ajst-24882	16	59	safety	safety	NOUN
ajst-24882	16	60	of	of	ADP
ajst-24882	16	61	human	human	ADJ
ajst-24882	16	62	life	life	NOUN
ajst-24882	16	63	and	and	CCONJ
ajst-24882	16	64	property	property	NOUN
ajst-24882	16	65	,	,	PUNCT
ajst-24882	16	66	and	and	CCONJ
ajst-24882	16	67	the	the	DET
ajst-24882	16	68	future	future	ADJ
ajst-24882	16	69	planning	planning	NOUN
ajst-24882	16	70	of	of	ADP
ajst-24882	16	71	cities	city	NOUN
ajst-24882	16	72	.	.	PUNCT
ajst-24882	17	1	international	international	ADJ
ajst-24882	17	2	research	research	NOUN
ajst-24882	17	3	on	on	ADP
ajst-24882	17	4	the	the	DET
ajst-24882	17	5	evaluation	evaluation	NOUN
ajst-24882	17	6	of	of	ADP
ajst-24882	17	7	landslide	landslide	NOUN
ajst-24882	17	8	disasters	disaster	NOUN
ajst-24882	17	9	started	start	VERB
ajst-24882	17	10	earlier	early	ADV
ajst-24882	17	11	.	.	PUNCT
ajst-24882	18	1	kumar	kumar	PROPN
ajst-24882	18	2	[	[	X
ajst-24882	18	3	2	2	NUM
ajst-24882	18	4	]	]	PUNCT
ajst-24882	18	5	and	and	CCONJ
ajst-24882	18	6	others	other	NOUN
ajst-24882	18	7	used	use	VERB
ajst-24882	18	8	the	the	DET
ajst-24882	18	9	support	support	NOUN
ajst-24882	18	10	vector	vector	NOUN
ajst-24882	18	11	machine	machine	NOUN
ajst-24882	18	12	model	model	NOUN
ajst-24882	18	13	and	and	CCONJ
ajst-24882	18	14	the	the	DET
ajst-24882	18	15	optimized	optimize	VERB
ajst-24882	18	16	support	support	NOUN
ajst-24882	18	17	vector	vector	NOUN
ajst-24882	18	18	machine	machine	NOUN
ajst-24882	18	19	model	model	NOUN
ajst-24882	18	20	for	for	ADP
ajst-24882	18	21	susceptibility	susceptibility	NOUN
ajst-24882	18	22	prediction	prediction	NOUN
ajst-24882	18	23	and	and	CCONJ
ajst-24882	18	24	research	research	NOUN
ajst-24882	18	25	in	in	ADP
ajst-24882	18	26	the	the	DET
ajst-24882	18	27	mandakini	mandakini	PROPN
ajst-24882	18	28	river	river	NOUN
ajst-24882	18	29	basin	basin	NOUN
ajst-24882	18	30	in	in	ADP
ajst-24882	18	31	india	india	PROPN
ajst-24882	18	32	,	,	PUNCT
ajst-24882	18	33	and	and	CCONJ
ajst-24882	18	34	the	the	DET
ajst-24882	18	35	results	result	NOUN
ajst-24882	18	36	showed	show	VERB
ajst-24882	18	37	that	that	SCONJ
ajst-24882	18	38	the	the	DET
ajst-24882	18	39	optimized	optimize	VERB
ajst-24882	18	40	support	support	NOUN
ajst-24882	18	41	vector	vector	NOUN
ajst-24882	18	42	machine	machine	NOUN
ajst-24882	18	43	model	model	NOUN
ajst-24882	18	44	had	have	VERB
ajst-24882	18	45	higher	high	ADJ
ajst-24882	18	46	accuracy	accuracy	NOUN
ajst-24882	18	47	.	.	PUNCT
ajst-24882	19	1	yesilnacar	yesilnacar	PROPN
ajst-24882	19	2	e.	e.	PROPN
ajst-24882	19	3	and	and	CCONJ
ajst-24882	19	4	topalt	topalt	NOUN
ajst-24882	20	1	[	[	X
ajst-24882	20	2	3	3	NUM
ajst-24882	20	3	]	]	PUNCT
ajst-24882	20	4	used	use	VERB
ajst-24882	20	5	the	the	DET
ajst-24882	20	6	logistic	logistic	ADJ
ajst-24882	20	7	regression	regression	NOUN
ajst-24882	20	8	model	model	NOUN
ajst-24882	20	9	and	and	CCONJ
ajst-24882	20	10	the	the	DET
ajst-24882	20	11	neural	neural	ADJ
ajst-24882	20	12	network	network	NOUN
ajst-24882	20	13	model	model	NOUN
ajst-24882	20	14	for	for	ADP
ajst-24882	20	15	geological	geological	ADJ
ajst-24882	20	16	disaster	disaster	NOUN
ajst-24882	20	17	susceptibility	susceptibility	NOUN
ajst-24882	20	18	evaluation	evaluation	NOUN
ajst-24882	20	19	in	in	ADP
ajst-24882	20	20	hendek	hendek	PROPN
ajst-24882	20	21	,	,	PUNCT
ajst-24882	20	22	turkey	turkey	PROPN
ajst-24882	20	23	,	,	PUNCT
ajst-24882	20	24	and	and	CCONJ
ajst-24882	20	25	the	the	DET
ajst-24882	20	26	neural	neural	ADJ
ajst-24882	20	27	network	network	NOUN
ajst-24882	20	28	model	model	NOUN
ajst-24882	20	29	was	be	AUX
ajst-24882	20	30	more	more	ADV
ajst-24882	20	31	accurate	accurate	ADJ
ajst-24882	20	32	than	than	ADP
ajst-24882	20	33	the	the	DET
ajst-24882	20	34	logistic	logistic	ADJ
ajst-24882	20	35	regression	regression	NOUN
ajst-24882	20	36	model	model	NOUN
ajst-24882	20	37	.	.	PUNCT
ajst-24882	21	1	kalantar	kalantar	PROPN
ajst-24882	21	2	b	b	PROPN
ajst-24882	22	1	[	[	X
ajst-24882	22	2	4	4	NUM
ajst-24882	22	3	]	]	PUNCT
ajst-24882	22	4	and	and	CCONJ
ajst-24882	22	5	others	other	NOUN
ajst-24882	22	6	used	use	VERB
ajst-24882	22	7	the	the	DET
ajst-24882	22	8	logistic	logistic	ADJ
ajst-24882	22	9	regression	regression	NOUN
ajst-24882	22	10	model	model	NOUN
ajst-24882	22	11	,	,	PUNCT
ajst-24882	22	12	support	support	NOUN
ajst-24882	22	13	vector	vector	NOUN
ajst-24882	22	14	machine	machine	NOUN
ajst-24882	22	15	model	model	NOUN
ajst-24882	22	16	,	,	PUNCT
ajst-24882	22	17	and	and	CCONJ
ajst-24882	22	18	artificial	artificial	ADJ
ajst-24882	22	19	neural	neural	ADJ
ajst-24882	22	20	network	network	NOUN
ajst-24882	22	21	model	model	NOUN
ajst-24882	22	22	for	for	ADP
ajst-24882	22	23	landslide	landslide	NOUN
ajst-24882	22	24	susceptibility	susceptibility	NOUN
ajst-24882	22	25	evaluation	evaluation	NOUN
ajst-24882	22	26	in	in	ADP
ajst-24882	22	27	the	the	DET
ajst-24882	22	28	dodangeh	dodangeh	NOUN
ajst-24882	22	29	basin	basin	NOUN
ajst-24882	22	30	of	of	ADP
ajst-24882	22	31	mazandaran	mazandaran	PROPN
ajst-24882	22	32	province	province	PROPN
ajst-24882	22	33	,	,	PUNCT
ajst-24882	22	34	iran	iran	PROPN
ajst-24882	22	35	,	,	PUNCT
ajst-24882	22	36	indicating	indicate	VERB
ajst-24882	22	37	that	that	SCONJ
ajst-24882	22	38	the	the	DET
ajst-24882	22	39	selection	selection	NOUN
ajst-24882	22	40	method	method	NOUN
ajst-24882	22	41	of	of	ADP
ajst-24882	22	42	the	the	DET
ajst-24882	22	43	training	training	NOUN
ajst-24882	22	44	set	set	NOUN
ajst-24882	22	45	samples	sample	NOUN
ajst-24882	22	46	has	have	VERB
ajst-24882	22	47	a	a	DET
ajst-24882	22	48	greater	great	ADJ
ajst-24882	22	49	impact	impact	NOUN
ajst-24882	22	50	on	on	ADP
ajst-24882	22	51	the	the	DET
ajst-24882	22	52	accuracy	accuracy	NOUN
ajst-24882	22	53	of	of	ADP
ajst-24882	22	54	the	the	DET
ajst-24882	22	55	landslide	landslide	NOUN
ajst-24882	22	56	disaster	disaster	NOUN
ajst-24882	22	57	evaluation	evaluation	NOUN
ajst-24882	22	58	model	model	NOUN
ajst-24882	22	59	.	.	PUNCT
ajst-24882	23	1	jibson	jibson	NOUN
ajst-24882	23	2	and	and	CCONJ
ajst-24882	23	3	keefer	keefer	PROPN
ajst-24882	24	1	[	[	X
ajst-24882	24	2	5	5	NUM
ajst-24882	24	3	]	]	PUNCT
ajst-24882	24	4	used	use	VERB
ajst-24882	24	5	discriminant	discriminant	ADJ
ajst-24882	24	6	analysis	analysis	NOUN
ajst-24882	24	7	and	and	CCONJ
ajst-24882	24	8	multiple	multiple	ADJ
ajst-24882	24	9	linear	linear	ADJ
ajst-24882	24	10	regression	regression	NOUN
ajst-24882	24	11	analysis	analysis	NOUN
ajst-24882	24	12	to	to	PART
ajst-24882	24	13	analyze	analyze	VERB
ajst-24882	24	14	and	and	CCONJ
ajst-24882	24	15	evaluate	evaluate	VERB
ajst-24882	24	16	the	the	DET
ajst-24882	24	17	landslide	landslide	NOUN
ajst-24882	24	18	susceptibility	susceptibility	NOUN
ajst-24882	24	19	on	on	ADP
ajst-24882	24	20	the	the	DET
ajst-24882	24	21	edge	edge	NOUN
ajst-24882	24	22	of	of	ADP
ajst-24882	24	23	the	the	DET
ajst-24882	24	24	mississippi	mississippi	NOUN
ajst-24882	24	25	plain	plain	PROPN
ajst-24882	24	26	.	.	PUNCT
ajst-24882	25	1	youssef	youssef	PROPN
ajst-24882	25	2	ahmed	ahmed	PROPN
ajst-24882	25	3	mohame	mohame	PROPN
ajst-24882	26	1	[	[	X
ajst-24882	26	2	6	6	NUM
ajst-24882	26	3	]	]	PUNCT
ajst-24882	26	4	and	and	CCONJ
ajst-24882	26	5	others	other	NOUN
ajst-24882	26	6	took	take	VERB
ajst-24882	26	7	the	the	DET
ajst-24882	26	8	aba	aba	PROPN
ajst-24882	26	9	basin	basin	NOUN
ajst-24882	26	10	in	in	ADP
ajst-24882	26	11	the	the	DET
ajst-24882	26	12	aseer	aseer	PROPN
ajst-24882	26	13	region	region	NOUN
ajst-24882	26	14	of	of	ADP
ajst-24882	26	15	saudi	saudi	PROPN
ajst-24882	26	16	arabia	arabia	PROPN
ajst-24882	26	17	as	as	ADP
ajst-24882	26	18	the	the	DET
ajst-24882	26	19	study	study	NOUN
ajst-24882	26	20	area	area	NOUN
ajst-24882	26	21	,	,	PUNCT
ajst-24882	26	22	and	and	CCONJ
ajst-24882	26	23	constructed	construct	VERB
ajst-24882	26	24	a	a	DET
ajst-24882	26	25	support	support	NOUN
ajst-24882	26	26	vector	vector	NOUN
ajst-24882	26	27	machine	machine	NOUN
ajst-24882	26	28	model	model	NOUN
ajst-24882	26	29	,	,	PUNCT
ajst-24882	26	30	random	random	ADJ
ajst-24882	26	31	forest	forest	NOUN
ajst-24882	26	32	model	model	NOUN
ajst-24882	26	33	,	,	PUNCT
ajst-24882	26	34	multiple	multiple	ADJ
ajst-24882	26	35	adaptive	adaptive	ADJ
ajst-24882	26	36	regression	regression	NOUN
ajst-24882	26	37	spline	spline	NOUN
ajst-24882	26	38	model	model	PROPN
ajst-24882	26	39	,	,	PUNCT
ajst-24882	26	40	artificial	artificial	ADJ
ajst-24882	26	41	neural	neural	ADJ
ajst-24882	26	42	network	network	NOUN
ajst-24882	26	43	model	model	NOUN
ajst-24882	26	44	,	,	PUNCT
ajst-24882	26	45	quadratic	quadratic	ADJ
ajst-24882	26	46	discriminant	discriminant	NOUN
ajst-24882	26	47	analysis	analysis	NOUN
ajst-24882	26	48	model	model	NOUN
ajst-24882	26	49	,	,	PUNCT
ajst-24882	26	50	linear	linear	ADJ
ajst-24882	26	51	discriminant	discriminant	ADJ
ajst-24882	26	52	analysis	analysis	NOUN
ajst-24882	26	53	model	model	NOUN
ajst-24882	26	54	,	,	PUNCT
ajst-24882	26	55	and	and	CCONJ
ajst-24882	26	56	double	double	ADJ
ajst-24882	26	57	beta	beta	NOUN
ajst-24882	26	58	model	model	NOUN
ajst-24882	26	59	,	,	PUNCT
ajst-24882	26	60	a	a	DET
ajst-24882	26	61	total	total	NOUN
ajst-24882	26	62	of	of	ADP
ajst-24882	26	63	seven	seven	NUM
ajst-24882	26	64	machine	machine	NOUN
ajst-24882	26	65	models	model	NOUN
ajst-24882	26	66	for	for	ADP
ajst-24882	26	67	landslide	landslide	NOUN
ajst-24882	26	68	susceptibility	susceptibility	NOUN
ajst-24882	26	69	evaluation	evaluation	NOUN
ajst-24882	26	70	,	,	PUNCT
ajst-24882	26	71	and	and	CCONJ
ajst-24882	26	72	found	find	VERB
ajst-24882	26	73	that	that	SCONJ
ajst-24882	26	74	the	the	DET
ajst-24882	26	75	random	random	ADJ
ajst-24882	26	76	forest	forest	NOUN
ajst-24882	26	77	model	model	NOUN
ajst-24882	26	78	had	have	VERB
ajst-24882	26	79	the	the	DET
ajst-24882	26	80	highest	high	ADJ
ajst-24882	26	81	accuracy	accuracy	NOUN
ajst-24882	26	82	.	.	PUNCT
ajst-24882	27	1	landslide	landslide	NOUN
ajst-24882	27	2	disaster	disaster	NOUN
ajst-24882	27	3	susceptibility	susceptibility	NOUN
ajst-24882	27	4	is	be	AUX
ajst-24882	27	5	an	an	DET
ajst-24882	27	6	important	important	ADJ
ajst-24882	27	7	part	part	NOUN
ajst-24882	27	8	of	of	ADP
ajst-24882	27	9	geological	geological	ADJ
ajst-24882	27	10	disaster	disaster	NOUN
ajst-24882	27	11	risk	risk	NOUN
ajst-24882	27	12	assessment	assessment	NOUN
ajst-24882	27	13	research	research	NOUN
ajst-24882	27	14	,	,	PUNCT
ajst-24882	27	15	as	as	ADV
ajst-24882	27	16	well	well	ADV
ajst-24882	27	17	as	as	ADP
ajst-24882	27	18	an	an	DET
ajst-24882	27	19	important	important	ADJ
ajst-24882	27	20	basis	basis	NOUN
ajst-24882	27	21	for	for	ADP
ajst-24882	27	22	the	the	DET
ajst-24882	27	23	evaluation	evaluation	NOUN
ajst-24882	27	24	of	of	ADP
ajst-24882	27	25	geological	geological	ADJ
ajst-24882	27	26	disaster	disaster	NOUN
ajst-24882	27	27	risk	risk	NOUN
ajst-24882	27	28	and	and	CCONJ
ajst-24882	27	29	prevention	prevention	NOUN
ajst-24882	27	30	projects	project	NOUN
ajst-24882	27	31	.	.	PUNCT
ajst-24882	28	1	it	it	PRON
ajst-24882	28	2	studies	study	VERB
ajst-24882	28	3	the	the	DET
ajst-24882	28	4	laws	law	NOUN
ajst-24882	28	5	of	of	ADP
ajst-24882	28	6	regional	regional	ADJ
ajst-24882	28	7	landslide	landslide	NOUN
ajst-24882	28	8	occurrence	occurrence	NOUN
ajst-24882	28	9	and	and	CCONJ
ajst-24882	28	10	distribution	distribution	NOUN
ajst-24882	28	11	under	under	ADP
ajst-24882	28	12	different	different	ADJ
ajst-24882	28	13	strata	strata	NOUN
ajst-24882	28	14	unit	unit	NOUN
ajst-24882	28	15	combinations	combination	NOUN
ajst-24882	28	16	,	,	PUNCT
ajst-24882	28	17	regional	regional	ADJ
ajst-24882	28	18	geological	geological	ADJ
ajst-24882	28	19	structural	structural	ADJ
ajst-24882	28	20	unit	unit	NOUN
ajst-24882	28	21	characteristics	characteristic	NOUN
ajst-24882	28	22	,	,	PUNCT
ajst-24882	28	23	topography	topography	NOUN
ajst-24882	28	24	,	,	PUNCT
ajst-24882	28	25	geomorphology	geomorphology	NOUN
ajst-24882	28	26	,	,	PUNCT
ajst-24882	28	27	etc	etc	X
ajst-24882	28	28	.	.	X
ajst-24882	28	29	,	,	PUNCT
ajst-24882	28	30	and	and	CCONJ
ajst-24882	28	31	combines	combine	VERB
ajst-24882	28	32	the	the	DET
ajst-24882	28	33	existing	exist	VERB
ajst-24882	28	34	landslide	landslide	NOUN
ajst-24882	28	35	distribution	distribution	NOUN
ajst-24882	28	36	in	in	ADP
ajst-24882	28	37	the	the	DET
ajst-24882	28	38	region	region	NOUN
ajst-24882	28	39	to	to	PART
ajst-24882	28	40	define	define	VERB
ajst-24882	28	41	different	different	ADJ
ajst-24882	28	42	landslide	landslide	NOUN
ajst-24882	28	43	susceptibility	susceptibility	NOUN
ajst-24882	28	44	levels	level	NOUN
ajst-24882	28	45	.	.	PUNCT
ajst-24882	29	1	at	at	ADP
ajst-24882	29	2	present	present	ADJ
ajst-24882	29	3	,	,	PUNCT
ajst-24882	29	4	the	the	DET
ajst-24882	29	5	common	common	ADJ
ajst-24882	29	6	methods	method	NOUN
ajst-24882	29	7	of	of	ADP
ajst-24882	29	8	landslide	landslide	NOUN
ajst-24882	29	9	susceptibility	susceptibility	NOUN
ajst-24882	29	10	analysis	analysis	NOUN
ajst-24882	29	11	are	be	AUX
ajst-24882	29	12	mainly	mainly	ADV
ajst-24882	29	13	divided	divide	VERB
ajst-24882	29	14	into	into	ADP
ajst-24882	29	15	two	two	NUM
ajst-24882	29	16	categories	category	NOUN
ajst-24882	29	17	:	:	PUNCT
ajst-24882	29	18	statistical	statistical	ADJ
ajst-24882	29	19	analysis	analysis	NOUN
ajst-24882	29	20	method	method	NOUN
ajst-24882	29	21	and	and	CCONJ
ajst-24882	29	22	machine	machine	NOUN
ajst-24882	29	23	learning	learning	NOUN
ajst-24882	29	24	method	method	NOUN
ajst-24882	29	25	.	.	PUNCT
ajst-24882	30	1	the	the	DET
ajst-24882	30	2	model	model	NOUN
ajst-24882	30	3	established	establish	VERB
ajst-24882	30	4	by	by	ADP
ajst-24882	30	5	the	the	DET
ajst-24882	30	6	statistical	statistical	ADJ
ajst-24882	30	7	analysis	analysis	NOUN
ajst-24882	30	8	method	method	NOUN
ajst-24882	30	9	has	have	VERB
ajst-24882	30	10	independent	independent	ADJ
ajst-24882	30	11	variable	variable	ADJ
ajst-24882	30	12	parameters	parameter	NOUN
ajst-24882	30	13	determined	determine	VERB
ajst-24882	30	14	by	by	ADP
ajst-24882	30	15	the	the	DET
ajst-24882	30	16	original	original	ADJ
ajst-24882	30	17	data	datum	NOUN
ajst-24882	30	18	of	of	ADP
ajst-24882	30	19	the	the	DET
ajst-24882	30	20	landslide	landslide	NOUN
ajst-24882	30	21	,	,	PUNCT
ajst-24882	30	22	which	which	PRON
ajst-24882	30	23	can	can	AUX
ajst-24882	30	24	avoid	avoid	VERB
ajst-24882	30	25	human	human	ADJ
ajst-24882	30	26	factors	factor	NOUN
ajst-24882	30	27	,	,	PUNCT
ajst-24882	30	28	and	and	CCONJ
ajst-24882	30	29	the	the	DET
ajst-24882	30	30	obtained	obtain	VERB
ajst-24882	30	31	parameter	parameter	NOUN
ajst-24882	30	32	results	result	NOUN
ajst-24882	30	33	are	be	AUX
ajst-24882	30	34	more	more	ADV
ajst-24882	30	35	objective	objective	ADJ
ajst-24882	30	36	.	.	PUNCT
ajst-24882	31	1	however	however	ADV
ajst-24882	31	2	,	,	PUNCT
ajst-24882	31	3	in	in	ADP
ajst-24882	31	4	the	the	DET
ajst-24882	31	5	process	process	NOUN
ajst-24882	31	6	of	of	ADP
ajst-24882	31	7	selecting	select	VERB
ajst-24882	31	8	evaluation	evaluation	NOUN
ajst-24882	31	9	factors	factor	NOUN
ajst-24882	31	10	,	,	PUNCT
ajst-24882	31	11	it	it	PRON
ajst-24882	31	12	is	be	AUX
ajst-24882	31	13	more	more	ADV
ajst-24882	31	14	susceptible	susceptible	ADJ
ajst-24882	31	15	to	to	ADP
ajst-24882	31	16	subjective	subjective	ADJ
ajst-24882	31	17	factors	factor	NOUN
ajst-24882	31	18	.	.	PUNCT
ajst-24882	32	1	the	the	DET
ajst-24882	32	2	machine	machine	NOUN
ajst-24882	32	3	learning	learning	NOUN
ajst-24882	32	4	method	method	NOUN
ajst-24882	32	5	can	can	AUX
ajst-24882	32	6	avoid	avoid	VERB
ajst-24882	32	7	the	the	DET
ajst-24882	32	8	problem	problem	NOUN
ajst-24882	32	9	of	of	ADP
ajst-24882	32	10	interdependence	interdependence	NOUN
ajst-24882	32	11	between	between	ADP
ajst-24882	32	12	evaluation	evaluation	NOUN
ajst-24882	32	13	factors	factor	NOUN
ajst-24882	32	14	,	,	PUNCT
ajst-24882	32	15	105	105	NUM
ajst-24882	32	16	but	but	CCONJ
ajst-24882	32	17	due	due	ADP
ajst-24882	32	18	to	to	ADP
ajst-24882	32	19	the	the	DET
ajst-24882	32	20	large	large	ADJ
ajst-24882	32	21	amount	amount	NOUN
ajst-24882	32	22	of	of	ADP
ajst-24882	32	23	model	model	NOUN
ajst-24882	32	24	calculation	calculation	NOUN
ajst-24882	32	25	and	and	CCONJ
ajst-24882	32	26	the	the	DET
ajst-24882	32	27	difficulty	difficulty	NOUN
ajst-24882	32	28	in	in	ADP
ajst-24882	32	29	selecting	select	VERB
ajst-24882	32	30	model	model	NOUN
ajst-24882	32	31	parameters	parameter	NOUN
ajst-24882	32	32	,	,	PUNCT
ajst-24882	32	33	the	the	DET
ajst-24882	32	34	evaluation	evaluation	NOUN
ajst-24882	32	35	results	result	NOUN
ajst-24882	32	36	are	be	AUX
ajst-24882	32	37	prone	prone	ADJ
ajst-24882	32	38	to	to	ADP
ajst-24882	32	39	overfitting	overfitte	VERB
ajst-24882	32	40	problems	problem	NOUN
ajst-24882	32	41	.	.	PUNCT
ajst-24882	33	1	2	2	X
ajst-24882	33	2	.	.	X
ajst-24882	33	3	data	datum	NOUN
ajst-24882	33	4	collection	collection	NOUN
ajst-24882	33	5	and	and	CCONJ
ajst-24882	33	6	processing	processing	NOUN
ajst-24882	33	7	2.1	2.1	NUM
ajst-24882	33	8	.	.	PUNCT
ajst-24882	34	1	data	datum	NOUN
ajst-24882	34	2	acquisition	acquisition	NOUN
ajst-24882	34	3	geological	geological	ADJ
ajst-24882	34	4	disaster	disaster	NOUN
ajst-24882	34	5	impact	impact	NOUN
ajst-24882	34	6	indicators	indicator	NOUN
ajst-24882	34	7	mainly	mainly	ADV
ajst-24882	34	8	encompass	encompass	VERB
ajst-24882	34	9	four	four	NUM
ajst-24882	34	10	major	major	ADJ
ajst-24882	34	11	categories	category	NOUN
ajst-24882	34	12	:	:	PUNCT
ajst-24882	34	13	topography	topography	NOUN
ajst-24882	34	14	,	,	PUNCT
ajst-24882	34	15	geological	geological	ADJ
ajst-24882	34	16	environment	environment	NOUN
ajst-24882	34	17	,	,	PUNCT
ajst-24882	34	18	meteorological	meteorological	ADJ
ajst-24882	34	19	hydrology	hydrology	NOUN
ajst-24882	34	20	,	,	PUNCT
ajst-24882	34	21	and	and	CCONJ
ajst-24882	34	22	human	human	ADJ
ajst-24882	34	23	activitiesd	activitiesd	NOUN
ajst-24882	34	24	.	.	PUNCT
ajst-24882	35	1	based	base	VERB
ajst-24882	35	2	on	on	ADP
ajst-24882	35	3	the	the	DET
ajst-24882	35	4	available	available	ADJ
ajst-24882	35	5	data	datum	NOUN
ajst-24882	35	6	and	and	CCONJ
ajst-24882	35	7	in	in	ADP
ajst-24882	35	8	conjunction	conjunction	NOUN
ajst-24882	35	9	with	with	ADP
ajst-24882	35	10	the	the	DET
ajst-24882	35	11	characteristics	characteristic	NOUN
ajst-24882	35	12	of	of	ADP
ajst-24882	35	13	landslide	landslide	NOUN
ajst-24882	35	14	development	development	NOUN
ajst-24882	35	15	in	in	ADP
ajst-24882	35	16	the	the	DET
ajst-24882	35	17	study	study	NOUN
ajst-24882	35	18	area	area	NOUN
ajst-24882	35	19	,	,	PUNCT
ajst-24882	35	20	this	this	DET
ajst-24882	35	21	paper	paper	NOUN
ajst-24882	35	22	selects	select	VERB
ajst-24882	35	23	six	six	NUM
ajst-24882	35	24	factors	factor	NOUN
ajst-24882	35	25	as	as	ADP
ajst-24882	35	26	the	the	DET
ajst-24882	35	27	evaluation	evaluation	NOUN
ajst-24882	35	28	indicators	indicator	NOUN
ajst-24882	35	29	for	for	ADP
ajst-24882	35	30	the	the	DET
ajst-24882	35	31	susceptibility	susceptibility	NOUN
ajst-24882	35	32	of	of	ADP
ajst-24882	35	33	landslide	landslide	NOUN
ajst-24882	35	34	disasters	disaster	NOUN
ajst-24882	35	35	in	in	ADP
ajst-24882	35	36	the	the	DET
ajst-24882	35	37	study	study	NOUN
ajst-24882	35	38	area	area	NOUN
ajst-24882	35	39	,	,	PUNCT
ajst-24882	35	40	which	which	PRON
ajst-24882	35	41	include	include	VERB
ajst-24882	35	42	elevation	elevation	NOUN
ajst-24882	35	43	(	(	PUNCT
ajst-24882	35	44	a	a	X
ajst-24882	35	45	)	)	PUNCT
ajst-24882	35	46	,	,	PUNCT
ajst-24882	35	47	slope	slope	NOUN
ajst-24882	35	48	gradient	gradient	NOUN
ajst-24882	35	49	(	(	PUNCT
ajst-24882	35	50	b	b	NOUN
ajst-24882	35	51	)	)	PUNCT
ajst-24882	35	52	,	,	PUNCT
ajst-24882	35	53	aspect	aspect	NOUN
ajst-24882	35	54	(	(	PUNCT
ajst-24882	35	55	c	c	NOUN
ajst-24882	35	56	)	)	PUNCT
ajst-24882	35	57	,	,	PUNCT
ajst-24882	35	58	land	land	NOUN
ajst-24882	35	59	use	use	NOUN
ajst-24882	35	60	(	(	PUNCT
ajst-24882	35	61	d	d	NOUN
ajst-24882	35	62	)	)	PUNCT
ajst-24882	35	63	,	,	PUNCT
ajst-24882	35	64	normalized	normalize	VERB
ajst-24882	35	65	difference	difference	NOUN
ajst-24882	35	66	vegetation	vegetation	NOUN
ajst-24882	35	67	index	index	NOUN
ajst-24882	35	68	(	(	PUNCT
ajst-24882	35	69	ndvi	ndvi	PROPN
ajst-24882	35	70	)	)	PUNCT
ajst-24882	35	71	(	(	PUNCT
ajst-24882	35	72	e	e	NOUN
ajst-24882	35	73	)	)	PUNCT
ajst-24882	35	74	,	,	PUNCT
ajst-24882	35	75	and	and	CCONJ
ajst-24882	35	76	rainfall	rainfall	NOUN
ajst-24882	35	77	(	(	PUNCT
ajst-24882	35	78	f	f	NOUN
ajst-24882	35	79	)	)	PUNCT
ajst-24882	35	80	.	.	PUNCT
ajst-24882	36	1	among	among	ADP
ajst-24882	36	2	these	these	PRON
ajst-24882	36	3	,	,	PUNCT
ajst-24882	36	4	aspect	aspect	NOUN
ajst-24882	36	5	and	and	CCONJ
ajst-24882	36	6	land	land	NOUN
ajst-24882	36	7	use	use	NOUN
ajst-24882	36	8	are	be	AUX
ajst-24882	36	9	discrete	discrete	ADJ
ajst-24882	36	10	factors	factor	NOUN
ajst-24882	36	11	,	,	PUNCT
ajst-24882	36	12	while	while	SCONJ
ajst-24882	36	13	the	the	DET
ajst-24882	36	14	others	other	NOUN
ajst-24882	36	15	are	be	AUX
ajst-24882	36	16	continuous	continuous	ADJ
ajst-24882	36	17	factors	factor	NOUN
ajst-24882	36	18	.	.	PUNCT
ajst-24882	37	1	(	(	PUNCT
ajst-24882	37	2	a	a	X
ajst-24882	37	3	)	)	PUNCT
ajst-24882	37	4	(	(	PUNCT
ajst-24882	37	5	b	b	X
ajst-24882	37	6	)	)	PUNCT
ajst-24882	37	7	(	(	PUNCT
ajst-24882	37	8	c	c	X
ajst-24882	37	9	)	)	PUNCT
ajst-24882	37	10	(	(	PUNCT
ajst-24882	37	11	d	d	X
ajst-24882	37	12	)	)	PUNCT
ajst-24882	37	13	(	(	PUNCT
ajst-24882	37	14	e	e	NOUN
ajst-24882	37	15	)	)	PUNCT
ajst-24882	37	16	(	(	PUNCT
ajst-24882	37	17	f	f	X
ajst-24882	37	18	)	)	PUNCT
ajst-24882	37	19	figure	figure	NOUN
ajst-24882	37	20	1	1	NUM
ajst-24882	37	21	.	.	PUNCT
ajst-24882	37	22	influencing	influence	VERB
ajst-24882	37	23	factors	factor	NOUN
ajst-24882	37	24	2.2	2.2	NUM
ajst-24882	37	25	.	.	PUNCT
ajst-24882	38	1	data	datum	NOUN
ajst-24882	38	2	pre	pre	ADJ
ajst-24882	38	3	-	-	ADJ
ajst-24882	38	4	processing	processing	ADJ
ajst-24882	38	5	pearson	pearson	NOUN
ajst-24882	38	6	correlation	correlation	NOUN
ajst-24882	38	7	analysis	analysis	NOUN
ajst-24882	38	8	[	[	X
ajst-24882	38	9	7	7	NUM
ajst-24882	38	10	]	]	PUNCT
ajst-24882	38	11	,	,	PUNCT
ajst-24882	38	12	as	as	ADP
ajst-24882	38	13	an	an	DET
ajst-24882	38	14	essential	essential	ADJ
ajst-24882	38	15	method	method	NOUN
ajst-24882	38	16	in	in	ADP
ajst-24882	38	17	statistics	statistic	NOUN
ajst-24882	38	18	,	,	PUNCT
ajst-24882	38	19	is	be	AUX
ajst-24882	38	20	primarily	primarily	ADV
ajst-24882	38	21	used	use	VERB
ajst-24882	38	22	to	to	PART
ajst-24882	38	23	quantify	quantify	VERB
ajst-24882	38	24	the	the	DET
ajst-24882	38	25	degree	degree	NOUN
ajst-24882	38	26	and	and	CCONJ
ajst-24882	38	27	direction	direction	NOUN
ajst-24882	38	28	of	of	ADP
ajst-24882	38	29	association	association	NOUN
ajst-24882	38	30	between	between	ADP
ajst-24882	38	31	two	two	NUM
ajst-24882	38	32	or	or	CCONJ
ajst-24882	38	33	more	more	ADJ
ajst-24882	38	34	variables	variable	NOUN
ajst-24882	38	35	.	.	PUNCT
ajst-24882	39	1	this	this	DET
ajst-24882	39	2	method	method	NOUN
ajst-24882	39	3	plays	play	VERB
ajst-24882	39	4	a	a	DET
ajst-24882	39	5	pivotal	pivotal	ADJ
ajst-24882	39	6	role	role	NOUN
ajst-24882	39	7	in	in	ADP
ajst-24882	39	8	exploratory	exploratory	ADJ
ajst-24882	39	9	data	datum	NOUN
ajst-24882	39	10	analysis	analysis	NOUN
ajst-24882	39	11	,	,	PUNCT
ajst-24882	39	12	assisting	assist	VERB
ajst-24882	39	13	researchers	researcher	NOUN
ajst-24882	39	14	in	in	ADP
ajst-24882	39	15	revealing	reveal	VERB
ajst-24882	39	16	potential	potential	ADJ
ajst-24882	39	17	associations	association	NOUN
ajst-24882	39	18	and	and	CCONJ
ajst-24882	39	19	the	the	DET
ajst-24882	39	20	strength	strength	NOUN
ajst-24882	39	21	of	of	ADP
ajst-24882	39	22	the	the	DET
ajst-24882	39	23	connections	connection	NOUN
ajst-24882	39	24	between	between	ADP
ajst-24882	39	25	variables	variable	NOUN
ajst-24882	39	26	.	.	PUNCT
ajst-24882	40	1	the	the	DET
ajst-24882	40	2	outcome	outcome	NOUN
ajst-24882	40	3	of	of	ADP
ajst-24882	40	4	the	the	DET
ajst-24882	40	5	correlation	correlation	NOUN
ajst-24882	40	6	analysis	analysis	NOUN
ajst-24882	40	7	,	,	PUNCT
ajst-24882	40	8	that	that	ADV
ajst-24882	40	9	is	is	ADV
ajst-24882	40	10	,	,	PUNCT
ajst-24882	40	11	the	the	DET
ajst-24882	40	12	correlation	correlation	NOUN
ajst-24882	40	13	coefficient	coefficient	NOUN
ajst-24882	40	14	,	,	PUNCT
ajst-24882	40	15	is	be	AUX
ajst-24882	40	16	a	a	DET
ajst-24882	40	17	value	value	NOUN
ajst-24882	40	18	between	between	ADP
ajst-24882	40	19	-1	-1	PUNCT
ajst-24882	40	20	and	and	CCONJ
ajst-24882	40	21	+1	+1	PROPN
ajst-24882	40	22	that	that	PRON
ajst-24882	40	23	describes	describe	VERB
ajst-24882	40	24	the	the	DET
ajst-24882	40	25	linear	linear	ADJ
ajst-24882	40	26	relationship	relationship	NOUN
ajst-24882	40	27	between	between	ADP
ajst-24882	40	28	variables	variable	NOUN
ajst-24882	40	29	.	.	PUNCT
ajst-24882	41	1	a	a	DET
ajst-24882	41	2	correlation	correlation	NOUN
ajst-24882	41	3	coefficient	coefficient	NOUN
ajst-24882	41	4	of	of	ADP
ajst-24882	41	5	+1	+1	PROPN
ajst-24882	41	6	indicates	indicate	VERB
ajst-24882	41	7	a	a	DET
ajst-24882	41	8	perfect	perfect	ADJ
ajst-24882	41	9	positive	positive	ADJ
ajst-24882	41	10	linear	linear	NOUN
ajst-24882	41	11	correlation	correlation	NOUN
ajst-24882	41	12	between	between	ADP
ajst-24882	41	13	the	the	DET
ajst-24882	41	14	two	two	NUM
ajst-24882	41	15	variables	variable	NOUN
ajst-24882	41	16	;	;	PUNCT
ajst-24882	41	17	a	a	DET
ajst-24882	41	18	coefficient	coefficient	NOUN
ajst-24882	41	19	of	of	ADP
ajst-24882	41	20	-1	-1	VERB
ajst-24882	41	21	suggests	suggest	VERB
ajst-24882	41	22	a	a	DET
ajst-24882	41	23	perfect	perfect	ADJ
ajst-24882	41	24	negative	negative	ADJ
ajst-24882	41	25	linear	linear	ADJ
ajst-24882	41	26	correlation	correlation	NOUN
ajst-24882	41	27	;	;	PUNCT
ajst-24882	41	28	and	and	CCONJ
ajst-24882	41	29	a	a	DET
ajst-24882	41	30	coefficient	coefficient	NOUN
ajst-24882	41	31	of	of	ADP
ajst-24882	41	32	0	0	NUM
ajst-24882	41	33	implies	imply	VERB
ajst-24882	41	34	no	no	DET
ajst-24882	41	35	linear	linear	PROPN
ajst-24882	41	36	association	association	NOUN
ajst-24882	41	37	between	between	ADP
ajst-24882	41	38	the	the	DET
ajst-24882	41	39	variables	variable	NOUN
ajst-24882	41	40	under	under	ADP
ajst-24882	41	41	examination	examination	NOUN
ajst-24882	41	42	.	.	PUNCT
ajst-24882	42	1	in	in	ADP
ajst-24882	42	2	the	the	DET
ajst-24882	42	3	realm	realm	NOUN
ajst-24882	42	4	of	of	ADP
ajst-24882	42	5	correlation	correlation	NOUN
ajst-24882	42	6	analysis	analysis	NOUN
ajst-24882	42	7	,	,	PUNCT
ajst-24882	42	8	the	the	DET
ajst-24882	42	9	pearson	pearson	NOUN
ajst-24882	42	10	product	product	NOUN
ajst-24882	42	11	-	-	PUNCT
ajst-24882	42	12	moment	moment	NOUN
ajst-24882	42	13	correlation	correlation	NOUN
ajst-24882	42	14	coefficient	coefficient	NOUN
ajst-24882	42	15	and	and	CCONJ
ajst-24882	42	16	the	the	DET
ajst-24882	42	17	spearman	spearman	NOUN
ajst-24882	42	18	rank	rank	NOUN
ajst-24882	42	19	correlation	correlation	NOUN
ajst-24882	42	20	coefficient	coefficient	NOUN
ajst-24882	42	21	are	be	AUX
ajst-24882	42	22	the	the	DET
ajst-24882	42	23	two	two	NUM
ajst-24882	42	24	most	most	ADV
ajst-24882	42	25	commonly	commonly	ADV
ajst-24882	42	26	used	use	VERB
ajst-24882	42	27	methods	method	NOUN
ajst-24882	42	28	.	.	PUNCT
ajst-24882	43	1	this	this	DET
ajst-24882	43	2	study	study	NOUN
ajst-24882	43	3	selects	select	VERB
ajst-24882	43	4	the	the	DET
ajst-24882	43	5	pearson	pearson	PROPN
ajst-24882	43	6	product	product	NOUN
ajst-24882	43	7	-	-	PUNCT
ajst-24882	43	8	moment	moment	NOUN
ajst-24882	43	9	correlation	correlation	NOUN
ajst-24882	43	10	coefficient	coefficient	NOUN
ajst-24882	43	11	as	as	SCONJ
ajst-24882	43	12	the	the	DET
ajst-24882	43	13	analytical	analytical	ADJ
ajst-24882	43	14	tool	tool	NOUN
ajst-24882	43	15	to	to	PART
ajst-24882	43	16	delve	delve	VERB
ajst-24882	43	17	into	into	ADP
ajst-24882	43	18	the	the	DET
ajst-24882	43	19	degree	degree	NOUN
ajst-24882	43	20	of	of	ADP
ajst-24882	43	21	association	association	NOUN
ajst-24882	43	22	between	between	ADP
ajst-24882	43	23	variables	variable	NOUN
ajst-24882	43	24	,	,	PUNCT
ajst-24882	43	25	providing	provide	VERB
ajst-24882	43	26	a	a	DET
ajst-24882	43	27	more	more	ADV
ajst-24882	43	28	accurate	accurate	ADJ
ajst-24882	43	29	and	and	CCONJ
ajst-24882	43	30	reliable	reliable	ADJ
ajst-24882	43	31	foundation	foundation	NOUN
ajst-24882	43	32	for	for	ADP
ajst-24882	43	33	subsequent	subsequent	ADJ
ajst-24882	43	34	statistical	statistical	ADJ
ajst-24882	43	35	analyses	analysis	NOUN
ajst-24882	43	36	.	.	PUNCT
ajst-24882	44	1	the	the	DET
ajst-24882	44	2	pearson	pearson	PROPN
ajst-24882	44	3	correlation	correlation	NOUN
ajst-24882	44	4	coefficient	coefficient	NOUN
ajst-24882	44	5	is	be	AUX
ajst-24882	44	6	a	a	DET
ajst-24882	44	7	statistical	statistical	ADJ
ajst-24882	44	8	measure	measure	NOUN
ajst-24882	44	9	used	use	VERB
ajst-24882	44	10	to	to	PART
ajst-24882	44	11	assess	assess	VERB
ajst-24882	44	12	the	the	DET
ajst-24882	44	13	degree	degree	NOUN
ajst-24882	44	14	of	of	ADP
ajst-24882	44	15	linear	linear	PROPN
ajst-24882	44	16	association	association	NOUN
ajst-24882	44	17	between	between	ADP
ajst-24882	44	18	two	two	NUM
ajst-24882	44	19	variables	variable	NOUN
ajst-24882	44	20	.	.	PUNCT
ajst-24882	45	1	this	this	DET
ajst-24882	45	2	coefficient	coefficient	NOUN
ajst-24882	45	3	was	be	AUX
ajst-24882	45	4	proposed	propose	VERB
ajst-24882	45	5	by	by	ADP
ajst-24882	45	6	the	the	DET
ajst-24882	45	7	statistician	statistician	PROPN
ajst-24882	45	8	karl	karl	PROPN
ajst-24882	45	9	pearson	pearson	PROPN
ajst-24882	45	10	,	,	PUNCT
ajst-24882	45	11	hence	hence	ADV
ajst-24882	45	12	the	the	DET
ajst-24882	45	13	name	name	NOUN
ajst-24882	45	14	.	.	PUNCT
ajst-24882	46	1	the	the	DET
ajst-24882	46	2	pearson	pearson	PROPN
ajst-24882	46	3	correlation	correlation	NOUN
ajst-24882	46	4	coefficient	coefficient	NOUN
ajst-24882	46	5	ranges	range	VERB
ajst-24882	46	6	from	from	ADP
ajst-24882	46	7	-1	-1	INTJ
ajst-24882	46	8	to	to	ADP
ajst-24882	46	9	1	1	NUM
ajst-24882	46	10	.	.	PUNCT
ajst-24882	47	1	if	if	SCONJ
ajst-24882	47	2	the	the	DET
ajst-24882	47	3	value	value	NOUN
ajst-24882	47	4	of	of	ADP
ajst-24882	47	5	r	r	NOUN
ajst-24882	47	6	is	be	AUX
ajst-24882	47	7	1	1	NUM
ajst-24882	47	8	,	,	PUNCT
ajst-24882	47	9	it	it	PRON
ajst-24882	47	10	means	mean	VERB
ajst-24882	47	11	there	there	PRON
ajst-24882	47	12	is	be	VERB
ajst-24882	47	13	a	a	DET
ajst-24882	47	14	perfect	perfect	ADJ
ajst-24882	47	15	positive	positive	ADJ
ajst-24882	47	16	linear	linear	NOUN
ajst-24882	47	17	relationship	relationship	NOUN
ajst-24882	47	18	between	between	ADP
ajst-24882	47	19	the	the	DET
ajst-24882	47	20	two	two	NUM
ajst-24882	47	21	variables	variable	NOUN
ajst-24882	47	22	,	,	PUNCT
ajst-24882	47	23	where	where	SCONJ
ajst-24882	47	24	an	an	DET
ajst-24882	47	25	increase	increase	NOUN
ajst-24882	47	26	in	in	ADP
ajst-24882	47	27	one	one	NUM
ajst-24882	47	28	variable	variable	NOUN
ajst-24882	47	29	leads	lead	VERB
ajst-24882	47	30	to	to	ADP
ajst-24882	47	31	a	a	DET
ajst-24882	47	32	proportional	proportional	ADJ
ajst-24882	47	33	increase	increase	NOUN
ajst-24882	47	34	in	in	ADP
ajst-24882	47	35	the	the	DET
ajst-24882	47	36	other	other	ADJ
ajst-24882	47	37	.	.	PUNCT
ajst-24882	48	1	conversely	conversely	ADV
ajst-24882	48	2	,	,	PUNCT
ajst-24882	48	3	if	if	SCONJ
ajst-24882	48	4	the	the	DET
ajst-24882	48	5	value	value	NOUN
ajst-24882	48	6	of	of	ADP
ajst-24882	48	7	r	r	NOUN
ajst-24882	48	8	is	be	AUX
ajst-24882	48	9	-1	-1	ADJ
ajst-24882	48	10	,	,	PUNCT
ajst-24882	48	11	it	it	PRON
ajst-24882	48	12	indicates	indicate	VERB
ajst-24882	48	13	a	a	DET
ajst-24882	48	14	perfect	perfect	ADJ
ajst-24882	48	15	negative	negative	ADJ
ajst-24882	48	16	linear	linear	ADJ
ajst-24882	48	17	relationship	relationship	NOUN
ajst-24882	48	18	,	,	PUNCT
ajst-24882	48	19	where	where	SCONJ
ajst-24882	48	20	an	an	DET
ajst-24882	48	21	increase	increase	NOUN
ajst-24882	48	22	in	in	ADP
ajst-24882	48	23	one	one	NUM
ajst-24882	48	24	variable	variable	ADJ
ajst-24882	48	25	results	result	NOUN
ajst-24882	48	26	in	in	ADP
ajst-24882	48	27	a	a	DET
ajst-24882	48	28	proportional	proportional	ADJ
ajst-24882	48	29	decrease	decrease	NOUN
ajst-24882	48	30	in	in	ADP
ajst-24882	48	31	the	the	DET
ajst-24882	48	32	other	other	ADJ
ajst-24882	48	33	.	.	PUNCT
ajst-24882	49	1	if	if	SCONJ
ajst-24882	49	2	the	the	DET
ajst-24882	49	3	value	value	NOUN
ajst-24882	49	4	of	of	ADP
ajst-24882	49	5	r	r	NOUN
ajst-24882	49	6	is	be	AUX
ajst-24882	49	7	0	0	NUM
ajst-24882	49	8	,	,	PUNCT
ajst-24882	49	9	it	it	PRON
ajst-24882	49	10	suggests	suggest	VERB
ajst-24882	49	11	that	that	SCONJ
ajst-24882	49	12	there	there	PRON
ajst-24882	49	13	is	be	VERB
ajst-24882	49	14	no	no	DET
ajst-24882	49	15	linear	linear	ADJ
ajst-24882	49	16	relationship	relationship	NOUN
ajst-24882	49	17	between	between	ADP
ajst-24882	49	18	the	the	DET
ajst-24882	49	19	two	two	NUM
ajst-24882	49	20	variables	variable	NOUN
ajst-24882	49	21	.	.	PUNCT
ajst-24882	50	1	the	the	DET
ajst-24882	50	2	formula	formula	NOUN
ajst-24882	50	3	for	for	ADP
ajst-24882	50	4	calculating	calculate	VERB
ajst-24882	50	5	the	the	DET
ajst-24882	50	6	pearson	pearson	PROPN
ajst-24882	50	7	correlation	correlation	NOUN
ajst-24882	50	8	coefficient	coefficient	NOUN
ajst-24882	50	9	is	be	AUX
ajst-24882	50	10	as	as	SCONJ
ajst-24882	50	11	follows	follow	VERB
ajst-24882	50	12	:	:	PUNCT
ajst-24882	50	13	1	1	NUM
ajst-24882	50	14	2	2	NUM
ajst-24882	50	15	2	2	NUM
ajst-24882	50	16	1	1	NUM
ajst-24882	50	17	(	(	PUNCT
ajst-24882	50	18	)	)	PUNCT
ajst-24882	50	19	(	(	PUNCT
ajst-24882	50	20	)	)	PUNCT
ajst-24882	50	21	(	(	PUNCT
ajst-24882	50	22	)	)	PUNCT
ajst-24882	50	23	(	(	PUNCT
ajst-24882	50	24	)	)	PUNCT
ajst-24882	51	1	n	n	CCONJ
ajst-24882	51	2	i	i	PRON
ajst-24882	51	3	n	n	ADV
ajst-24882	51	4	i	i	NOUN
ajst-24882	51	5	x	x	PUNCT
ajst-24882	52	1	x	x	VERB
ajst-24882	52	2	y	y	NOUN
ajst-24882	52	3	y	y	NOUN
ajst-24882	52	4	r	r	NOUN
ajst-24882	52	5	x	x	PUNCT
ajst-24882	52	6	x	x	VERB
ajst-24882	52	7	y	y	NOUN
ajst-24882	52	8	y	y	PROPN
ajst-24882	52	9			PROPN
ajst-24882	52	10			PROPN
ajst-24882	52	11			PROPN
ajst-24882	52	12			PROPN
ajst-24882	52	13			PROPN
ajst-24882	52	14			PROPN
ajst-24882	52	15			PROPN
ajst-24882	52	16			X
ajst-24882	52	17			X
ajst-24882	52	18	(	(	PUNCT
ajst-24882	52	19	1	1	X
ajst-24882	52	20	)	)	PUNCT
ajst-24882	52	21	figure	figure	NOUN
ajst-24882	52	22	2	2	NUM
ajst-24882	52	23	.	.	PUNCT
ajst-24882	52	24	pearson	pearson	PROPN
ajst-24882	52	25	correlation	correlation	NOUN
ajst-24882	52	26	analysis	analysis	NOUN
ajst-24882	52	27	106	106	NUM
ajst-24882	52	28	here	here	ADV
ajst-24882	52	29	,	,	PUNCT
ajst-24882	52	30	x	x	PUNCT
ajst-24882	52	31	and	and	CCONJ
ajst-24882	52	32	y	y	PROPN
ajst-24882	52	33	denote	denote	VERB
ajst-24882	52	34	the	the	DET
ajst-24882	52	35	sample	sample	NOUN
ajst-24882	52	36	values	value	NOUN
ajst-24882	52	37	of	of	ADP
ajst-24882	52	38	two	two	NUM
ajst-24882	52	39	variables	variable	NOUN
ajst-24882	52	40	,	,	PUNCT
ajst-24882	52	41	while	while	SCONJ
ajst-24882	52	42	x	x	PRON
ajst-24882	52	43	andy	andy	PROPN
ajst-24882	52	44	represent	represent	VERB
ajst-24882	52	45	their	their	PRON
ajst-24882	52	46	sample	sample	NOUN
ajst-24882	52	47	means	mean	NOUN
ajst-24882	52	48	.	.	PUNCT
ajst-24882	53	1	the	the	DET
ajst-24882	53	2	relatedness	relatedness	NOUN
ajst-24882	53	3	between	between	ADP
ajst-24882	53	4	the	the	DET
ajst-24882	53	5	indicators	indicator	NOUN
ajst-24882	53	6	intensifies	intensify	VERB
ajst-24882	53	7	as	as	ADP
ajst-24882	53	8	the	the	DET
ajst-24882	53	9	value	value	NOUN
ajst-24882	53	10	of	of	ADP
ajst-24882	53	11	the	the	DET
ajst-24882	53	12	correlation	correlation	NOUN
ajst-24882	53	13	coefficient	coefficient	NOUN
ajst-24882	53	14	increases	increase	NOUN
ajst-24882	53	15	.	.	PUNCT
ajst-24882	54	1	when	when	SCONJ
ajst-24882	54	2	the	the	DET
ajst-24882	54	3	absolute	absolute	ADJ
ajst-24882	54	4	value	value	NOUN
ajst-24882	54	5	of	of	ADP
ajst-24882	54	6	the	the	DET
ajst-24882	54	7	correlation	correlation	NOUN
ajst-24882	54	8	coefficient	coefficient	NOUN
ajst-24882	54	9	falls	fall	VERB
ajst-24882	54	10	within	within	ADP
ajst-24882	54	11	the	the	DET
ajst-24882	54	12	range	range	NOUN
ajst-24882	54	13	[	[	X
ajst-24882	54	14	0	0	NUM
ajst-24882	54	15	,	,	PUNCT
ajst-24882	54	16	0.5	0.5	NUM
ajst-24882	54	17	)	)	PUNCT
ajst-24882	54	18	,	,	PUNCT
ajst-24882	54	19	it	it	PRON
ajst-24882	54	20	is	be	AUX
ajst-24882	54	21	deemed	deem	VERB
ajst-24882	54	22	that	that	SCONJ
ajst-24882	54	23	there	there	PRON
ajst-24882	54	24	is	be	VERB
ajst-24882	54	25	no	no	DET
ajst-24882	54	26	correlation	correlation	NOUN
ajst-24882	54	27	or	or	CCONJ
ajst-24882	54	28	the	the	DET
ajst-24882	54	29	correlation	correlation	NOUN
ajst-24882	54	30	is	be	AUX
ajst-24882	54	31	weak	weak	ADJ
ajst-24882	54	32	among	among	ADP
ajst-24882	54	33	the	the	DET
ajst-24882	54	34	influencing	influence	VERB
ajst-24882	54	35	factors	factor	NOUN
ajst-24882	54	36	.	.	PUNCT
ajst-24882	55	1	3	3	X
ajst-24882	55	2	.	.	X
ajst-24882	55	3	susceptibility	susceptibility	NOUN
ajst-24882	55	4	assessment	assessment	PROPN
ajst-24882	55	5	research	research	PROPN
ajst-24882	55	6	3.1	3.1	NUM
ajst-24882	55	7	.	.	PUNCT
ajst-24882	55	8	landslide	landslide	NOUN
ajst-24882	55	9	susceptibility	susceptibility	NOUN
ajst-24882	55	10	assessment	assessment	NOUN
ajst-24882	55	11	based	base	VERB
ajst-24882	55	12	on	on	ADP
ajst-24882	55	13	the	the	DET
ajst-24882	55	14	iv	iv	NUM
ajst-24882	55	15	model	model	NOUN
ajst-24882	55	16	the	the	DET
ajst-24882	55	17	concept	concept	NOUN
ajst-24882	55	18	of	of	ADP
ajst-24882	55	19	the	the	DET
ajst-24882	55	20	information	information	NOUN
ajst-24882	55	21	quantity	quantity	NOUN
ajst-24882	55	22	model	model	NOUN
ajst-24882	55	23	can	can	AUX
ajst-24882	55	24	be	be	AUX
ajst-24882	55	25	briefly	briefly	ADV
ajst-24882	55	26	summarized	summarize	VERB
ajst-24882	55	27	as	as	ADP
ajst-24882	55	28	:	:	PUNCT
ajst-24882	55	29	by	by	ADP
ajst-24882	55	30	calculating	calculate	VERB
ajst-24882	55	31	and	and	CCONJ
ajst-24882	55	32	analyzing	analyze	VERB
ajst-24882	55	33	the	the	DET
ajst-24882	55	34	information	information	NOUN
ajst-24882	55	35	quantity	quantity	NOUN
ajst-24882	55	36	of	of	ADP
ajst-24882	55	37	different	different	ADJ
ajst-24882	55	38	intervals	interval	NOUN
ajst-24882	55	39	of	of	ADP
ajst-24882	55	40	each	each	DET
ajst-24882	55	41	influencing	influence	VERB
ajst-24882	55	42	factor	factor	NOUN
ajst-24882	55	43	,	,	PUNCT
ajst-24882	55	44	it	it	PRON
ajst-24882	55	45	quantitatively	quantitatively	ADV
ajst-24882	55	46	represents	represent	VERB
ajst-24882	55	47	the	the	DET
ajst-24882	55	48	degree	degree	NOUN
ajst-24882	55	49	of	of	ADP
ajst-24882	55	50	impact	impact	NOUN
ajst-24882	55	51	of	of	ADP
ajst-24882	55	52	each	each	DET
ajst-24882	55	53	attribute	attribute	NOUN
ajst-24882	55	54	interval	interval	NOUN
ajst-24882	55	55	of	of	ADP
ajst-24882	55	56	environmental	environmental	ADJ
ajst-24882	55	57	factors	factor	NOUN
ajst-24882	55	58	on	on	ADP
ajst-24882	55	59	landslide	landslide	NOUN
ajst-24882	55	60	disasters	disaster	NOUN
ajst-24882	55	61	,	,	PUNCT
ajst-24882	55	62	and	and	CCONJ
ajst-24882	55	63	then	then	ADV
ajst-24882	55	64	obtains	obtain	VERB
ajst-24882	55	65	the	the	DET
ajst-24882	55	66	comprehensive	comprehensive	ADJ
ajst-24882	55	67	level	level	NOUN
ajst-24882	55	68	of	of	ADP
ajst-24882	55	69	information	information	NOUN
ajst-24882	55	70	quantity	quantity	NOUN
ajst-24882	55	71	by	by	ADP
ajst-24882	55	72	superimposing	superimpose	VERB
ajst-24882	55	73	each	each	DET
ajst-24882	55	74	factor	factor	NOUN
ajst-24882	55	75	.	.	PUNCT
ajst-24882	56	1	the	the	DET
ajst-24882	56	2	core	core	NOUN
ajst-24882	56	3	of	of	ADP
ajst-24882	56	4	this	this	DET
ajst-24882	56	5	model	model	NOUN
ajst-24882	56	6	lies	lie	VERB
ajst-24882	56	7	in	in	ADP
ajst-24882	56	8	calculating	calculate	VERB
ajst-24882	56	9	the	the	DET
ajst-24882	56	10	magnitude	magnitude	NOUN
ajst-24882	56	11	of	of	ADP
ajst-24882	56	12	the	the	DET
ajst-24882	56	13	information	information	NOUN
ajst-24882	56	14	quantity	quantity	NOUN
ajst-24882	56	15	contributed	contribute	VERB
ajst-24882	56	16	by	by	ADP
ajst-24882	56	17	each	each	DET
ajst-24882	56	18	influencing	influence	VERB
ajst-24882	56	19	factor	factor	NOUN
ajst-24882	56	20	to	to	ADP
ajst-24882	56	21	the	the	DET
ajst-24882	56	22	occurrence	occurrence	NOUN
ajst-24882	56	23	of	of	ADP
ajst-24882	56	24	the	the	DET
ajst-24882	56	25	disaster	disaster	NOUN
ajst-24882	56	26	[	[	X
ajst-24882	56	27	8	8	NUM
ajst-24882	56	28	]	]	PUNCT
ajst-24882	56	29	.	.	PUNCT
ajst-24882	57	1	n	n	PROPN
ajst-24882	57	2	/	/	SYM
ajst-24882	57	3	ln	ln	NOUN
ajst-24882	57	4	/	/	PUNCT
ajst-24882	58	1	i	i	PRON
ajst-24882	58	2	i	i	PRON
ajst-24882	59	1	n	n	VERB
ajst-24882	60	1	i	i	PRON
ajst-24882	60	2	s	s	VERB
ajst-24882	60	3	s	s	PART
ajst-24882	61	1			NOUN
ajst-24882	61	2			NOUN
ajst-24882	61	3			PROPN
ajst-24882	61	4			PROPN
ajst-24882	62	1			PROPN
ajst-24882	62	2			PROPN
ajst-24882	62	3			NOUN
ajst-24882	62	4	(	(	PUNCT
ajst-24882	62	5	2	2	NUM
ajst-24882	62	6	)	)	PUNCT
ajst-24882	62	7	in	in	ADP
ajst-24882	62	8	the	the	DET
ajst-24882	62	9	formula	formula	NOUN
ajst-24882	62	10	,	,	PUNCT
ajst-24882	62	11	in	in	SCONJ
ajst-24882	62	12	represents	represent	VERB
ajst-24882	62	13	the	the	DET
ajst-24882	62	14	number	number	NOUN
ajst-24882	62	15	of	of	ADP
ajst-24882	62	16	landslide	landslide	NOUN
ajst-24882	62	17	disaster	disaster	NOUN
ajst-24882	62	18	points	point	NOUN
ajst-24882	62	19	in	in	ADP
ajst-24882	62	20	the	the	DET
ajst-24882	62	21	i	i	PROPN
ajst-24882	62	22	-	-	PUNCT
ajst-24882	62	23	th	th	VERB
ajst-24882	62	24	level	level	NOUN
ajst-24882	62	25	area	area	NOUN
ajst-24882	62	26	,	,	PUNCT
ajst-24882	62	27	n	n	PRON
ajst-24882	62	28	represents	represent	VERB
ajst-24882	62	29	the	the	DET
ajst-24882	62	30	total	total	ADJ
ajst-24882	62	31	number	number	NOUN
ajst-24882	62	32	of	of	ADP
ajst-24882	62	33	landslide	landslide	NOUN
ajst-24882	62	34	disaster	disaster	NOUN
ajst-24882	62	35	points	point	NOUN
ajst-24882	62	36	in	in	ADP
ajst-24882	62	37	the	the	DET
ajst-24882	62	38	study	study	NOUN
ajst-24882	62	39	area	area	NOUN
ajst-24882	62	40	,	,	PUNCT
ajst-24882	62	41	is	be	AUX
ajst-24882	62	42	represents	represent	VERB
ajst-24882	62	43	the	the	DET
ajst-24882	62	44	area	area	NOUN
ajst-24882	62	45	of	of	ADP
ajst-24882	62	46	the	the	DET
ajst-24882	62	47	i	i	PROPN
ajst-24882	62	48	-	-	PUNCT
ajst-24882	62	49	th	th	VERB
ajst-24882	62	50	level	level	NOUN
ajst-24882	62	51	area	area	NOUN
ajst-24882	62	52	,	,	PUNCT
ajst-24882	62	53	and	and	CCONJ
ajst-24882	62	54	s	s	VERB
ajst-24882	62	55	represents	represent	VERB
ajst-24882	62	56	the	the	DET
ajst-24882	62	57	total	total	ADJ
ajst-24882	62	58	area	area	NOUN
ajst-24882	62	59	of	of	ADP
ajst-24882	62	60	the	the	DET
ajst-24882	62	61	study	study	NOUN
ajst-24882	62	62	area	area	NOUN
ajst-24882	62	63	.	.	PUNCT
ajst-24882	63	1	table	table	NOUN
ajst-24882	64	1	1	1	NUM
ajst-24882	64	2	.	.	NUM
ajst-24882	64	3	iv	iv	NOUN
ajst-24882	64	4	of	of	ADP
ajst-24882	64	5	influencing	influence	VERB
ajst-24882	64	6	factors	factor	NOUN
ajst-24882	64	7	and	and	CCONJ
ajst-24882	64	8	iv	iv	NOUN
ajst-24882	64	9	-	-	PUNCT
ajst-24882	64	10	ioe	ioe	NOUN
ajst-24882	64	11	factor	factor	NOUN
ajst-24882	64	12	class	class	NOUN
ajst-24882	64	13	iv	iv	NUM
ajst-24882	64	14	ioe	ioe	PROPN
ajst-24882	64	15	iv	iv	PROPN
ajst-24882	64	16	-	-	PUNCT
ajst-24882	64	17	ioe	ioe	NOUN
ajst-24882	64	18	factor	factor	NOUN
ajst-24882	64	19	class	class	NOUN
ajst-24882	64	20	iv	iv	NUM
ajst-24882	64	21	ioe	ioe	PROPN
ajst-24882	64	22	iv	iv	PROPN
ajst-24882	64	23	-	-	PUNCT
ajst-24882	64	24	ioe	ioe	NOUN
ajst-24882	64	25	dem	dem	PROPN
ajst-24882	65	1	[	[	X
ajst-24882	65	2	903.10,2044.96	903.10,2044.96	NUM
ajst-24882	65	3	]	]	X
ajst-24882	65	4	1.480	1.480	NUM
ajst-24882	65	5	0.696	0.696	NUM
ajst-24882	65	6	1.031	1.031	NUM
ajst-24882	65	7	slope	slope	NOUN
ajst-24882	66	1	[	[	X
ajst-24882	66	2	0,17.05	0,17.05	NOUN
ajst-24882	66	3	]	]	X
ajst-24882	66	4	0.622	0.622	NUM
ajst-24882	66	5	0.089	0.089	NUM
ajst-24882	66	6	0.056	0.056	NUM
ajst-24882	66	7	(	(	PUNCT
ajst-24882	66	8	2044.96,2673.82	2044.96,2673.82	NUM
ajst-24882	66	9	]	]	X
ajst-24882	66	10	0.611	0.611	NUM
ajst-24882	66	11	0.425	0.425	NUM
ajst-24882	66	12	(	(	PUNCT
ajst-24882	66	13	17.05,26.42	17.05,26.42	NUM
ajst-24882	66	14	]	]	PUNCT
ajst-24882	66	15	0.246	0.246	NUM
ajst-24882	66	16	0.022	0.022	NUM
ajst-24882	66	17	(	(	PUNCT
ajst-24882	66	18	2673.82,3236.48	2673.82,3236.48	NUM
ajst-24882	66	19	]	]	X
ajst-24882	66	20	-2.804	-2.804	NUM
ajst-24882	66	21	-1.953	-1.953	PUNCT
ajst-24882	66	22	(	(	PUNCT
ajst-24882	66	23	26.42,34.35	26.42,34.35	NOUN
ajst-24882	66	24	]	]	PUNCT
ajst-24882	66	25	0.012	0.012	NUM
ajst-24882	66	26	0.001	0.001	NUM
ajst-24882	66	27	(	(	PUNCT
ajst-24882	66	28	3236.48,3815.68	3236.48,3815.68	NUM
ajst-24882	66	29	]	]	PUNCT
ajst-24882	66	30	-2.116	-2.116	PRON
ajst-24882	66	31	-1.473	-1.473	PUNCT
ajst-24882	66	32	(	(	PUNCT
ajst-24882	66	33	34.35,43.27	34.35,43.27	PROPN
ajst-24882	66	34	]	]	X
ajst-24882	66	35	-0.384	-0.384	X
ajst-24882	66	36	-0.034	-0.034	X
ajst-24882	66	37	(	(	PUNCT
ajst-24882	66	38	3815.68,5139.59	3815.68,5139.59	NUM
ajst-24882	66	39	]	]	PUNCT
ajst-24882	66	40	0.000	0.000	NUM
ajst-24882	66	41	0.000	0.000	NUM
ajst-24882	66	42	(	(	PUNCT
ajst-24882	66	43	43.27,79.27	43.27,79.27	NOUN
ajst-24882	66	44	]	]	X
ajst-24882	66	45	-1.187	-1.187	PUNCT
ajst-24882	66	46	-0.106	-0.106	X
ajst-24882	66	47	flat	flat	ADJ
ajst-24882	66	48	0.000	0.000	NUM
ajst-24882	66	49	0.068	0.068	NUM
ajst-24882	66	50	0.000	0.000	NUM
ajst-24882	66	51	landuse	landuse	NOUN
ajst-24882	66	52	farmland	farmland	NOUN
ajst-24882	66	53	2.122	2.122	NUM
ajst-24882	66	54	1.108	1.108	NUM
ajst-24882	66	55	2.354	2.354	NUM
ajst-24882	66	56	north	north	NOUN
ajst-24882	66	57	0.419	0.419	NUM
ajst-24882	66	58	0.028	0.028	NUM
ajst-24882	66	59	forest	forest	NOUN
ajst-24882	66	60	-0.575	-0.575	CCONJ
ajst-24882	66	61	-0.638	-0.638	ADV
ajst-24882	66	62	northeast	northeast	ADV
ajst-24882	66	63	-0.350	-0.350	PUNCT
ajst-24882	66	64	-0.024	-0.024	NUM
ajst-24882	66	65	shrubland	shrubland	NOUN
ajst-24882	66	66	0.000	0.000	NUM
ajst-24882	66	67	0.000	0.000	NUM
ajst-24882	66	68	east	east	NOUN
ajst-24882	66	69	-0.448	-0.448	PUNCT
ajst-24882	66	70	-0.030	-0.030	PUNCT
ajst-24882	66	71	grassland	grassland	NOUN
ajst-24882	66	72	0.062	0.062	NUM
ajst-24882	66	73	0.069	0.069	NUM
ajst-24882	66	74	southeast	southeast	PROPN
ajst-24882	66	75	0.043	0.043	NUM
ajst-24882	66	76	0.027	0.027	NUM
ajst-24882	66	77	water	water	NOUN
ajst-24882	66	78	0.000	0.000	NUM
ajst-24882	66	79	0.000	0.000	NUM
ajst-24882	66	80	south	south	NOUN
ajst-24882	66	81	-0.122	-0.122	PUNCT
ajst-24882	67	1	-0.008	-0.008	NOUN
ajst-24882	67	2	snow	snow	NOUN
ajst-24882	67	3	0.000	0.000	NUM
ajst-24882	67	4	0.000	0.000	NUM
ajst-24882	67	5	southwest	southwest	NOUN
ajst-24882	67	6	0.022	0.022	NUM
ajst-24882	67	7	0.001	0.001	NUM
ajst-24882	67	8	bareland	bareland	NOUN
ajst-24882	67	9	0.000	0.000	NUM
ajst-24882	67	10	0.000	0.000	NUM
ajst-24882	67	11	west	west	NOUN
ajst-24882	67	12	-0.043	-0.043	PUNCT
ajst-24882	67	13	-0.003	-0.003	PUNCT
ajst-24882	67	14	impervious	impervious	ADJ
ajst-24882	67	15	0.000	0.000	NUM
ajst-24882	67	16	0.000	0.000	NUM
ajst-24882	67	17	northwest	northwest	NOUN
ajst-24882	67	18	-0.343	-0.343	X
ajst-24882	67	19	-0.023	-0.023	PUNCT
ajst-24882	67	20	rainfal	rainfal	PROPN
ajst-24882	67	21	[	[	X
ajst-24882	67	22	750.7,782.4	750.7,782.4	NOUN
ajst-24882	67	23	]	]	PUNCT
ajst-24882	67	24	0.461	0.461	NUM
ajst-24882	67	25	0.065	0.065	NUM
ajst-24882	67	26	0.189	0.189	NUM
ajst-24882	68	1	[	[	X
ajst-24882	68	2	-0.4,0.4	-0.4,0.4	X
ajst-24882	68	3	]	]	X
ajst-24882	68	4	0.067	0.067	NUM
ajst-24882	68	5	0.018	0.018	NUM
ajst-24882	68	6	0.005	0.005	NUM
ajst-24882	68	7	(	(	PUNCT
ajst-24882	68	8	782.4,802.9	782.4,802.9	NUM
ajst-24882	68	9	]	]	PUNCT
ajst-24882	68	10	0.239	0.239	NUM
ajst-24882	68	11	0.098	0.098	NUM
ajst-24882	68	12	(	(	PUNCT
ajst-24882	68	13	0.4,0.63	0.4,0.63	NUM
ajst-24882	68	14	]	]	X
ajst-24882	68	15	0.112	0.112	NUM
ajst-24882	68	16	0.009	0.009	NUM
ajst-24882	68	17	(	(	PUNCT
ajst-24882	68	18	802.9,821.6	802.9,821.6	PROPN
ajst-24882	68	19	]	]	X
ajst-24882	68	20	-0.611	-0.611	NUM
ajst-24882	68	21	-0.251	-0.251	X
ajst-24882	68	22	(	(	PUNCT
ajst-24882	68	23	0.63,0.78	0.63,0.78	X
ajst-24882	68	24	]	]	X
ajst-24882	68	25	0.289	0.289	NUM
ajst-24882	68	26	0.022	0.022	NUM
ajst-24882	68	27	(	(	PUNCT
ajst-24882	68	28	821.6,841.2	821.6,841.2	NOUN
ajst-24882	68	29	]	]	PUNCT
ajst-24882	68	30	-0.637	-0.637	NOUN
ajst-24882	68	31	-0.262	-0.262	PUNCT
ajst-24882	68	32	(	(	PUNCT
ajst-24882	68	33	0.78,0.87	0.78,0.87	NOUN
ajst-24882	68	34	]	]	X
ajst-24882	68	35	0.276	0.276	NUM
ajst-24882	68	36	0.021	0.021	NUM
ajst-24882	68	37	(	(	PUNCT
ajst-24882	68	38	841.2,892.5	841.2,892.5	NUM
ajst-24882	68	39	]	]	PUNCT
ajst-24882	68	40	0.392	0.392	NUM
ajst-24882	68	41	0.161	0.161	NUM
ajst-24882	68	42	(	(	PUNCT
ajst-24882	68	43	0.87,1	0.87,1	NOUN
ajst-24882	68	44	]	]	X
ajst-24882	68	45	-0.399	-0.399	PUNCT
ajst-24882	68	46	-0.030	-0.030	PUNCT
ajst-24882	68	47	figure	figure	NOUN
ajst-24882	68	48	3	3	NUM
ajst-24882	68	49	.	.	NOUN
ajst-24882	68	50	iv	iv	NUM
ajst-24882	68	51	model	model	NOUN
ajst-24882	68	52	evaluation	evaluation	NOUN
ajst-24882	68	53	result	result	NOUN
ajst-24882	68	54	map	map	VERB
ajst-24882	68	55	the	the	DET
ajst-24882	68	56	calculated	calculated	ADJ
ajst-24882	68	57	information	information	NOUN
ajst-24882	68	58	quantities	quantity	NOUN
ajst-24882	68	59	of	of	ADP
ajst-24882	68	60	each	each	DET
ajst-24882	68	61	evaluation	evaluation	NOUN
ajst-24882	68	62	factor	factor	NOUN
ajst-24882	68	63	are	be	AUX
ajst-24882	68	64	superimposed	superimpose	VERB
ajst-24882	68	65	.	.	PUNCT
ajst-24882	69	1	based	base	VERB
ajst-24882	69	2	on	on	ADP
ajst-24882	69	3	the	the	DET
ajst-24882	69	4	natural	natural	ADJ
ajst-24882	69	5	break	break	NOUN
ajst-24882	69	6	method	method	NOUN
ajst-24882	69	7	,	,	PUNCT
ajst-24882	69	8	the	the	DET
ajst-24882	69	9	susceptibility	susceptibility	NOUN
ajst-24882	69	10	of	of	ADP
ajst-24882	69	11	landslide	landslide	NOUN
ajst-24882	69	12	disasters	disaster	NOUN
ajst-24882	69	13	in	in	ADP
ajst-24882	69	14	the	the	DET
ajst-24882	69	15	study	study	NOUN
ajst-24882	69	16	area	area	NOUN
ajst-24882	69	17	is	be	AUX
ajst-24882	69	18	divided	divide	VERB
ajst-24882	69	19	into	into	ADP
ajst-24882	69	20	five	five	NUM
ajst-24882	69	21	levels	level	NOUN
ajst-24882	69	22	:	:	PUNCT
ajst-24882	69	23	extremely	extremely	ADV
ajst-24882	69	24	low	low	ADJ
ajst-24882	69	25	susceptibility	susceptibility	NOUN
ajst-24882	69	26	zone	zone	NOUN
ajst-24882	69	27	,	,	PUNCT
ajst-24882	69	28	low	low	ADJ
ajst-24882	69	29	susceptibility	susceptibility	NOUN
ajst-24882	69	30	zone	zone	NOUN
ajst-24882	69	31	,	,	PUNCT
ajst-24882	69	32	medium	medium	ADJ
ajst-24882	69	33	susceptibility	susceptibility	NOUN
ajst-24882	69	34	zone	zone	NOUN
ajst-24882	69	35	,	,	PUNCT
ajst-24882	69	36	high	high	ADJ
ajst-24882	69	37	susceptibility	susceptibility	NOUN
ajst-24882	69	38	zone	zone	NOUN
ajst-24882	69	39	,	,	PUNCT
ajst-24882	69	40	and	and	CCONJ
ajst-24882	69	41	very	very	ADV
ajst-24882	69	42	high	high	ADJ
ajst-24882	69	43	susceptibility	susceptibility	NOUN
ajst-24882	69	44	zone	zone	NOUN
ajst-24882	69	45	.	.	PUNCT
ajst-24882	70	1	the	the	DET
ajst-24882	70	2	following	follow	VERB
ajst-24882	70	3	is	be	AUX
ajst-24882	70	4	the	the	DET
ajst-24882	70	5	landslide	landslide	NOUN
ajst-24882	70	6	susceptibility	susceptibility	NOUN
ajst-24882	70	7	map	map	NOUN
ajst-24882	70	8	based	base	VERB
ajst-24882	70	9	on	on	ADP
ajst-24882	70	10	the	the	DET
ajst-24882	70	11	information	information	NOUN
ajst-24882	70	12	quantity	quantity	NOUN
ajst-24882	70	13	model	model	NOUN
ajst-24882	70	14	.	.	PUNCT
ajst-24882	71	1	3.2	3.2	NUM
ajst-24882	71	2	.	.	PUNCT
ajst-24882	71	3	landslide	landslide	NOUN
ajst-24882	71	4	susceptibility	susceptibility	NOUN
ajst-24882	71	5	assessment	assessment	NOUN
ajst-24882	71	6	based	base	VERB
ajst-24882	71	7	on	on	ADP
ajst-24882	71	8	the	the	DET
ajst-24882	71	9	iv	iv	PROPN
ajst-24882	71	10	-	-	PUNCT
ajst-24882	71	11	ioe	ioe	PROPN
ajst-24882	71	12	model	model	NOUN
ajst-24882	71	13	the	the	DET
ajst-24882	71	14	information	information	NOUN
ajst-24882	71	15	quantity	quantity	NOUN
ajst-24882	71	16	model	model	NOUN
ajst-24882	71	17	does	do	AUX
ajst-24882	71	18	not	not	PART
ajst-24882	71	19	fully	fully	ADV
ajst-24882	71	20	consider	consider	VERB
ajst-24882	71	21	the	the	DET
ajst-24882	71	22	comprehensive	comprehensive	ADJ
ajst-24882	71	23	weight	weight	NOUN
ajst-24882	71	24	distribution	distribution	NOUN
ajst-24882	71	25	of	of	ADP
ajst-24882	71	26	each	each	DET
ajst-24882	71	27	factor	factor	NOUN
ajst-24882	71	28	.	.	PUNCT
ajst-24882	72	1	by	by	ADP
ajst-24882	72	2	using	use	VERB
ajst-24882	72	3	the	the	DET
ajst-24882	72	4	information	information	NOUN
ajst-24882	72	5	entropy	entropy	NOUN
ajst-24882	72	6	method	method	NOUN
ajst-24882	72	7	,	,	PUNCT
ajst-24882	72	8	we	we	PRON
ajst-24882	72	9	can	can	AUX
ajst-24882	72	10	more	more	ADV
ajst-24882	72	11	objectively	objectively	ADV
ajst-24882	72	12	assign	assign	VERB
ajst-24882	72	13	weights	weight	NOUN
ajst-24882	72	14	to	to	ADP
ajst-24882	72	15	the	the	DET
ajst-24882	72	16	influencing	influence	VERB
ajst-24882	72	17	factors	factor	NOUN
ajst-24882	72	18	.	.	PUNCT
ajst-24882	73	1	this	this	DET
ajst-24882	73	2	method	method	NOUN
ajst-24882	73	3	eliminates	eliminate	VERB
ajst-24882	73	4	human	human	ADJ
ajst-24882	73	5	factors	factor	NOUN
ajst-24882	73	6	through	through	ADP
ajst-24882	73	7	quantification	quantification	NOUN
ajst-24882	73	8	,	,	PUNCT
ajst-24882	73	9	ensuring	ensure	VERB
ajst-24882	73	10	the	the	DET
ajst-24882	73	11	fairness	fairness	NOUN
ajst-24882	73	12	and	and	CCONJ
ajst-24882	73	13	objectivity	objectivity	NOUN
ajst-24882	73	14	of	of	ADP
ajst-24882	73	15	the	the	DET
ajst-24882	73	16	weight	weight	NOUN
ajst-24882	73	17	distribution	distribution	NOUN
ajst-24882	73	18	.	.	PUNCT
ajst-24882	74	1	the	the	DET
ajst-24882	74	2	weight	weight	NOUN
ajst-24882	74	3	values	value	NOUN
ajst-24882	74	4	of	of	ADP
ajst-24882	74	5	the	the	DET
ajst-24882	74	6	evaluation	evaluation	NOUN
ajst-24882	74	7	factors	factor	NOUN
ajst-24882	74	8	can	can	AUX
ajst-24882	74	9	be	be	AUX
ajst-24882	74	10	calculated	calculate	VERB
ajst-24882	74	11	using	use	VERB
ajst-24882	74	12	the	the	DET
ajst-24882	74	13	following	follow	VERB
ajst-24882	74	14	formula	formula	NOUN
ajst-24882	74	15	[	[	X
ajst-24882	74	16	9	9	NUM
ajst-24882	74	17	]	]	PUNCT
ajst-24882	74	18	:	:	PUNCT
ajst-24882	75	1	max	max	PROPN
ajst-24882	75	2	max	max	PROPN
ajst-24882	75	3	i	i	PRON
ajst-24882	76	1	i	i	PRON
ajst-24882	77	1	i	i	PRON
ajst-24882	78	1	i	i	PRON
ajst-24882	78	2	h	h	VERB
ajst-24882	79	1	h	h	NOUN
ajst-24882	80	1	i	i	PRON
ajst-24882	80	2	h	h	VERB
ajst-24882	80	3			VERB
ajst-24882	80	4			PRON
ajst-24882	80	5	(	(	PUNCT
ajst-24882	80	6	3	3	NUM
ajst-24882	80	7	)	)	PUNCT
ajst-24882	80	8	1	1	NUM
ajst-24882	80	9	1	1	NUM
ajst-24882	80	10	s	s	VERB
ajst-24882	80	11	i	i	NOUN
ajst-24882	80	12	ijj	ijj	PROPN
ajst-24882	81	1	j	j	PROPN
ajst-24882	81	2	p	p	NOUN
ajst-24882	81	3	fr	fr	PROPN
ajst-24882	81	4	s	s	VERB
ajst-24882	81	5			PROPN
ajst-24882	81	6			ADJ
ajst-24882	81	7			X
ajst-24882	81	8	(	(	PUNCT
ajst-24882	81	9	4	4	X
ajst-24882	81	10	)	)	PUNCT
ajst-24882	81	11	107	107	NUM
ajst-24882	82	1	i	i	PRON
ajst-24882	82	2	i	i	PRON
ajst-24882	83	1	iw	iw	VERB
ajst-24882	84	1	i	i	PRON
ajst-24882	84	2	p	p	VERB
ajst-24882	84	3			ADJ
ajst-24882	84	4	(	(	PUNCT
ajst-24882	84	5	5	5	X
ajst-24882	84	6	)	)	PUNCT
ajst-24882	84	7	these	these	DET
ajst-24882	84	8	formula	formula	NOUN
ajst-24882	84	9	normalizes	normalize	VERB
ajst-24882	84	10	the	the	DET
ajst-24882	84	11	entropy	entropy	NOUN
ajst-24882	84	12	values	value	NOUN
ajst-24882	84	13	to	to	PART
ajst-24882	84	14	obtain	obtain	VERB
ajst-24882	84	15	the	the	DET
ajst-24882	84	16	weights	weight	NOUN
ajst-24882	84	17	,	,	PUNCT
ajst-24882	84	18	which	which	PRON
ajst-24882	84	19	can	can	AUX
ajst-24882	84	20	then	then	ADV
ajst-24882	84	21	be	be	AUX
ajst-24882	84	22	used	use	VERB
ajst-24882	84	23	to	to	PART
ajst-24882	84	24	adjust	adjust	VERB
ajst-24882	84	25	the	the	DET
ajst-24882	84	26	information	information	NOUN
ajst-24882	84	27	quantity	quantity	NOUN
ajst-24882	84	28	values	value	NOUN
ajst-24882	84	29	of	of	ADP
ajst-24882	84	30	each	each	DET
ajst-24882	84	31	factor	factor	NOUN
ajst-24882	84	32	accordingly	accordingly	ADV
ajst-24882	84	33	.	.	PUNCT
ajst-24882	85	1	the	the	DET
ajst-24882	85	2	calculated	calculate	VERB
ajst-24882	85	3	weighted	weight	VERB
ajst-24882	85	4	information	information	NOUN
ajst-24882	85	5	quantity	quantity	NOUN
ajst-24882	85	6	of	of	ADP
ajst-24882	85	7	each	each	DET
ajst-24882	85	8	evaluation	evaluation	NOUN
ajst-24882	85	9	factor	factor	NOUN
ajst-24882	85	10	is	be	AUX
ajst-24882	85	11	superimposed	superimpose	VERB
ajst-24882	85	12	.	.	PUNCT
ajst-24882	86	1	based	base	VERB
ajst-24882	86	2	on	on	ADP
ajst-24882	86	3	the	the	DET
ajst-24882	86	4	natural	natural	ADJ
ajst-24882	86	5	break	break	NOUN
ajst-24882	86	6	method	method	NOUN
ajst-24882	86	7	,	,	PUNCT
ajst-24882	86	8	the	the	DET
ajst-24882	86	9	susceptibility	susceptibility	NOUN
ajst-24882	86	10	of	of	ADP
ajst-24882	86	11	landslide	landslide	NOUN
ajst-24882	86	12	disasters	disaster	NOUN
ajst-24882	86	13	in	in	ADP
ajst-24882	86	14	the	the	DET
ajst-24882	86	15	study	study	NOUN
ajst-24882	86	16	area	area	NOUN
ajst-24882	86	17	is	be	AUX
ajst-24882	86	18	divided	divide	VERB
ajst-24882	86	19	into	into	ADP
ajst-24882	86	20	five	five	NUM
ajst-24882	86	21	levels	level	NOUN
ajst-24882	86	22	:	:	PUNCT
ajst-24882	86	23	extremely	extremely	ADV
ajst-24882	86	24	low	low	ADJ
ajst-24882	86	25	susceptibility	susceptibility	NOUN
ajst-24882	86	26	zone	zone	NOUN
ajst-24882	86	27	,	,	PUNCT
ajst-24882	86	28	low	low	ADJ
ajst-24882	86	29	susceptibility	susceptibility	NOUN
ajst-24882	86	30	zone	zone	NOUN
ajst-24882	86	31	,	,	PUNCT
ajst-24882	86	32	medium	medium	ADJ
ajst-24882	86	33	susceptibility	susceptibility	NOUN
ajst-24882	86	34	zone	zone	NOUN
ajst-24882	86	35	,	,	PUNCT
ajst-24882	86	36	high	high	ADJ
ajst-24882	86	37	susceptibility	susceptibility	NOUN
ajst-24882	86	38	zone	zone	NOUN
ajst-24882	86	39	,	,	PUNCT
ajst-24882	86	40	and	and	CCONJ
ajst-24882	86	41	very	very	ADV
ajst-24882	86	42	high	high	ADJ
ajst-24882	86	43	susceptibility	susceptibility	NOUN
ajst-24882	86	44	zone	zone	NOUN
ajst-24882	86	45	.	.	PUNCT
ajst-24882	87	1	the	the	DET
ajst-24882	87	2	following	follow	VERB
ajst-24882	87	3	is	be	AUX
ajst-24882	87	4	the	the	DET
ajst-24882	87	5	landslide	landslide	NOUN
ajst-24882	87	6	susceptibility	susceptibility	NOUN
ajst-24882	87	7	map	map	NOUN
ajst-24882	87	8	based	base	VERB
ajst-24882	87	9	on	on	ADP
ajst-24882	87	10	the	the	DET
ajst-24882	87	11	ivioe	ivioe	PROPN
ajst-24882	87	12	model	model	NOUN
ajst-24882	87	13	.	.	PUNCT
ajst-24882	88	1	figure	figure	VERB
ajst-24882	88	2	4	4	NUM
ajst-24882	88	3	.	.	NUM
ajst-24882	88	4	iv	iv	NUM
ajst-24882	88	5	-	-	PUNCT
ajst-24882	88	6	ioe	ioe	PROPN
ajst-24882	88	7	model	model	PROPN
ajst-24882	88	8	evaluation	evaluation	NOUN
ajst-24882	88	9	result	result	NOUN
ajst-24882	88	10	map	map	NOUN
ajst-24882	88	11	4	4	NUM
ajst-24882	88	12	.	.	PUNCT
ajst-24882	88	13	model	model	NOUN
ajst-24882	88	14	precision	precision	NOUN
ajst-24882	88	15	verification	verification	NOUN
ajst-24882	88	16	the	the	DET
ajst-24882	88	17	predictive	predictive	ADJ
ajst-24882	88	18	accuracy	accuracy	NOUN
ajst-24882	88	19	of	of	ADP
ajst-24882	88	20	the	the	DET
ajst-24882	88	21	two	two	NUM
ajst-24882	88	22	models	model	NOUN
ajst-24882	88	23	was	be	AUX
ajst-24882	88	24	analyzed	analyze	VERB
ajst-24882	88	25	using	use	VERB
ajst-24882	88	26	the	the	DET
ajst-24882	88	27	receiver	receiver	NOUN
ajst-24882	88	28	operating	operate	VERB
ajst-24882	88	29	characteristic	characteristic	NOUN
ajst-24882	88	30	(	(	PUNCT
ajst-24882	88	31	roc	roc	PROPN
ajst-24882	88	32	)	)	PUNCT
ajst-24882	88	33	curve	curve	NOUN
ajst-24882	89	1	[	[	X
ajst-24882	89	2	10	10	NUM
ajst-24882	89	3	]	]	PUNCT
ajst-24882	89	4	.	.	PUNCT
ajst-24882	90	1	the	the	DET
ajst-24882	90	2	area	area	NOUN
ajst-24882	90	3	under	under	ADP
ajst-24882	90	4	the	the	DET
ajst-24882	90	5	roc	roc	PROPN
ajst-24882	90	6	curve	curve	NOUN
ajst-24882	90	7	(	(	PUNCT
ajst-24882	90	8	auc	auc	NOUN
ajst-24882	90	9	)	)	PUNCT
ajst-24882	90	10	represents	represent	VERB
ajst-24882	90	11	the	the	DET
ajst-24882	90	12	accuracy	accuracy	NOUN
ajst-24882	90	13	of	of	ADP
ajst-24882	90	14	the	the	DET
ajst-24882	90	15	prediction	prediction	NOUN
ajst-24882	90	16	,	,	PUNCT
ajst-24882	90	17	with	with	ADP
ajst-24882	90	18	an	an	DET
ajst-24882	90	19	auc	auc	NOUN
ajst-24882	90	20	value	value	NOUN
ajst-24882	90	21	greater	great	ADJ
ajst-24882	90	22	than	than	ADP
ajst-24882	90	23	0.7	0.7	NUM
ajst-24882	90	24	indicating	indicate	VERB
ajst-24882	90	25	that	that	SCONJ
ajst-24882	90	26	the	the	DET
ajst-24882	90	27	model	model	NOUN
ajst-24882	90	28	has	have	VERB
ajst-24882	90	29	good	good	ADJ
ajst-24882	90	30	predictive	predictive	ADJ
ajst-24882	90	31	performance	performance	NOUN
ajst-24882	90	32	.	.	PUNCT
ajst-24882	91	1	the	the	DET
ajst-24882	91	2	precision	precision	NOUN
ajst-24882	91	3	verification	verification	NOUN
ajst-24882	91	4	results	result	NOUN
ajst-24882	91	5	for	for	ADP
ajst-24882	91	6	the	the	DET
ajst-24882	91	7	information	information	NOUN
ajst-24882	91	8	quantity	quantity	NOUN
ajst-24882	91	9	model	model	NOUN
ajst-24882	91	10	and	and	CCONJ
ajst-24882	91	11	the	the	DET
ajst-24882	91	12	information	information	NOUN
ajst-24882	91	13	quantity	quantity	NOUN
ajst-24882	91	14	-	-	PUNCT
ajst-24882	91	15	entropy	entropy	NOUN
ajst-24882	91	16	index	index	NOUN
ajst-24882	91	17	model	model	NOUN
ajst-24882	91	18	are	be	AUX
ajst-24882	91	19	shown	show	VERB
ajst-24882	91	20	in	in	ADP
ajst-24882	91	21	the	the	DET
ajst-24882	91	22	figure	figure	NOUN
ajst-24882	91	23	.	.	PUNCT
ajst-24882	92	1	figure	figure	NOUN
ajst-24882	92	2	5	5	NUM
ajst-24882	92	3	.	.	PUNCT
ajst-24882	93	1	roc	roc	PROPN
ajst-24882	93	2	accuracy	accuracy	PROPN
ajst-24882	93	3	comparison	comparison	NOUN
ajst-24882	93	4	test	test	NOUN
ajst-24882	93	5	5	5	NUM
ajst-24882	93	6	.	.	PUNCT
ajst-24882	94	1	summary	summary	NOUN
ajst-24882	94	2	(	(	PUNCT
ajst-24882	94	3	1	1	X
ajst-24882	94	4	)	)	PUNCT
ajst-24882	94	5	this	this	DET
ajst-24882	94	6	paper	paper	NOUN
ajst-24882	94	7	takes	take	VERB
ajst-24882	94	8	mao	mao	PROPN
ajst-24882	94	9	county	county	NOUN
ajst-24882	94	10	as	as	ADP
ajst-24882	94	11	the	the	DET
ajst-24882	94	12	study	study	NOUN
ajst-24882	94	13	area	area	NOUN
ajst-24882	94	14	and	and	CCONJ
ajst-24882	94	15	selects	select	VERB
ajst-24882	94	16	six	six	NUM
ajst-24882	94	17	influencing	influence	VERB
ajst-24882	94	18	factors	factor	NOUN
ajst-24882	94	19	,	,	PUNCT
ajst-24882	94	20	including	include	VERB
ajst-24882	94	21	dem	dem	ADJ
ajst-24882	94	22	(	(	PUNCT
ajst-24882	94	23	digital	digital	ADJ
ajst-24882	94	24	elevation	elevation	NOUN
ajst-24882	94	25	model	model	NOUN
ajst-24882	94	26	)	)	PUNCT
ajst-24882	94	27	,	,	PUNCT
ajst-24882	94	28	slope	slope	NOUN
ajst-24882	94	29	gradient	gradient	NOUN
ajst-24882	94	30	,	,	PUNCT
ajst-24882	94	31	aspect	aspect	NOUN
ajst-24882	94	32	,	,	PUNCT
ajst-24882	94	33	land	land	NOUN
ajst-24882	94	34	use	use	NOUN
ajst-24882	94	35	,	,	PUNCT
ajst-24882	94	36	ndvi	ndvi	PROPN
ajst-24882	94	37	(	(	PUNCT
ajst-24882	94	38	normalized	normalize	VERB
ajst-24882	94	39	difference	difference	NOUN
ajst-24882	94	40	vegetation	vegetation	NOUN
ajst-24882	94	41	index	index	NOUN
ajst-24882	94	42	)	)	PUNCT
ajst-24882	94	43	,	,	PUNCT
ajst-24882	94	44	and	and	CCONJ
ajst-24882	94	45	rainfall	rainfall	NOUN
ajst-24882	94	46	,	,	PUNCT
ajst-24882	94	47	to	to	PART
ajst-24882	94	48	construct	construct	VERB
ajst-24882	94	49	an	an	DET
ajst-24882	94	50	evaluation	evaluation	NOUN
ajst-24882	94	51	index	index	NOUN
ajst-24882	94	52	system	system	NOUN
ajst-24882	94	53	for	for	ADP
ajst-24882	94	54	landslide	landslide	NOUN
ajst-24882	94	55	disaster	disaster	NOUN
ajst-24882	94	56	susceptibility	susceptibility	NOUN
ajst-24882	94	57	.	.	PUNCT
ajst-24882	95	1	after	after	ADP
ajst-24882	95	2	pearson	pearson	PROPN
ajst-24882	95	3	correlation	correlation	PROPN
ajst-24882	95	4	testing	testing	NOUN
ajst-24882	95	5	,	,	PUNCT
ajst-24882	95	6	the	the	DET
ajst-24882	95	7	results	result	NOUN
ajst-24882	95	8	show	show	VERB
ajst-24882	95	9	that	that	SCONJ
ajst-24882	95	10	the	the	DET
ajst-24882	95	11	correlation	correlation	NOUN
ajst-24882	95	12	between	between	ADP
ajst-24882	95	13	the	the	DET
ajst-24882	95	14	influencing	influence	VERB
ajst-24882	95	15	factors	factor	NOUN
ajst-24882	95	16	is	be	AUX
ajst-24882	95	17	low	low	ADJ
ajst-24882	95	18	,	,	PUNCT
ajst-24882	95	19	making	make	VERB
ajst-24882	95	20	it	it	PRON
ajst-24882	95	21	suitable	suitable	ADJ
ajst-24882	95	22	for	for	ADP
ajst-24882	95	23	the	the	DET
ajst-24882	95	24	assessment	assessment	NOUN
ajst-24882	95	25	of	of	ADP
ajst-24882	95	26	landslide	landslide	NOUN
ajst-24882	95	27	geological	geological	ADJ
ajst-24882	95	28	disaster	disaster	NOUN
ajst-24882	95	29	susceptibility	susceptibility	NOUN
ajst-24882	95	30	.	.	PUNCT
ajst-24882	96	1	(	(	PUNCT
ajst-24882	96	2	2	2	X
ajst-24882	96	3	)	)	PUNCT
ajst-24882	96	4	the	the	DET
ajst-24882	96	5	iv	iv	X
ajst-24882	96	6	(	(	PUNCT
ajst-24882	96	7	information	information	NOUN
ajst-24882	96	8	value	value	NOUN
ajst-24882	96	9	)	)	PUNCT
ajst-24882	96	10	model	model	NOUN
ajst-24882	96	11	and	and	CCONJ
ajst-24882	96	12	the	the	DET
ajst-24882	96	13	iv	iv	PROPN
ajst-24882	96	14	-	-	PUNCT
ajst-24882	96	15	ioe	ioe	NOUN
ajst-24882	96	16	(	(	PUNCT
ajst-24882	96	17	information	information	NOUN
ajst-24882	96	18	value	value	NOUN
ajst-24882	96	19	-	-	PUNCT
ajst-24882	96	20	entropy	entropy	NOUN
ajst-24882	96	21	index	index	NOUN
ajst-24882	96	22	)	)	PUNCT
ajst-24882	96	23	model	model	NOUN
ajst-24882	96	24	were	be	AUX
ajst-24882	96	25	used	use	VERB
ajst-24882	96	26	to	to	PART
ajst-24882	96	27	assess	assess	VERB
ajst-24882	96	28	and	and	CCONJ
ajst-24882	96	29	analyze	analyze	VERB
ajst-24882	96	30	the	the	DET
ajst-24882	96	31	susceptibility	susceptibility	NOUN
ajst-24882	96	32	of	of	ADP
ajst-24882	96	33	landslide	landslide	NOUN
ajst-24882	96	34	disasters	disaster	NOUN
ajst-24882	96	35	in	in	ADP
ajst-24882	96	36	the	the	DET
ajst-24882	96	37	study	study	NOUN
ajst-24882	96	38	area	area	NOUN
ajst-24882	96	39	.	.	PUNCT
ajst-24882	97	1	the	the	DET
ajst-24882	97	2	auc	auc	NOUN
ajst-24882	97	3	values	value	NOUN
ajst-24882	97	4	for	for	ADP
ajst-24882	97	5	the	the	DET
ajst-24882	97	6	iv	iv	NUM
ajst-24882	97	7	model	model	NOUN
ajst-24882	97	8	and	and	CCONJ
ajst-24882	97	9	the	the	DET
ajst-24882	97	10	iv	iv	PROPN
ajst-24882	97	11	-	-	PUNCT
ajst-24882	97	12	ioe	ioe	NOUN
ajst-24882	97	13	model	model	NOUN
ajst-24882	97	14	are	be	AUX
ajst-24882	97	15	0.847	0.847	NUM
ajst-24882	97	16	and	and	CCONJ
ajst-24882	97	17	0.865	0.865	NUM
ajst-24882	97	18	,	,	PUNCT
ajst-24882	97	19	respectively	respectively	ADV
ajst-24882	97	20	.	.	PUNCT
ajst-24882	98	1	the	the	DET
ajst-24882	98	2	experimental	experimental	ADJ
ajst-24882	98	3	results	result	NOUN
ajst-24882	98	4	indicate	indicate	VERB
ajst-24882	98	5	that	that	SCONJ
ajst-24882	98	6	the	the	DET
ajst-24882	98	7	iv	iv	NUM
ajst-24882	98	8	-	-	PUNCT
ajst-24882	98	9	ioe	ioe	PROPN
ajst-24882	98	10	model	model	NOUN
ajst-24882	98	11	has	have	VERB
ajst-24882	98	12	stronger	strong	ADJ
ajst-24882	98	13	robustness	robustness	NOUN
ajst-24882	98	14	in	in	ADP
ajst-24882	98	15	the	the	DET
ajst-24882	98	16	predictive	predictive	ADJ
ajst-24882	98	17	accuracy	accuracy	NOUN
ajst-24882	98	18	of	of	ADP
ajst-24882	98	19	landslide	landslide	NOUN
ajst-24882	98	20	susceptibility	susceptibility	NOUN
ajst-24882	98	21	.	.	PUNCT
ajst-24882	99	1	references	reference	NOUN
ajst-24882	99	2	[	[	X
ajst-24882	99	3	1	1	X
ajst-24882	99	4	]	]	PUNCT
ajst-24882	99	5	wang	wang	PROPN
ajst-24882	100	1	x	x	X
ajst-24882	100	2	,	,	PUNCT
ajst-24882	100	3	bai	bai	PROPN
ajst-24882	100	4	s	s	PART
ajst-24882	100	5	.landslide	.landslide	NOUN
ajst-24882	100	6	susceptibility	susceptibility	PROPN
ajst-24882	100	7	mapping	mapping	NOUN
ajst-24882	100	8	and	and	CCONJ
ajst-24882	100	9	interpretation	interpretation	NOUN
ajst-24882	100	10	in	in	ADP
ajst-24882	100	11	the	the	DET
ajst-24882	100	12	upper	upper	ADJ
ajst-24882	100	13	minjiang	minjiang	PROPN
ajst-24882	100	14	river	river	PROPN
ajst-24882	100	15	basin[j].remote	basin[j].remote	PROPN
ajst-24882	100	16	sensing	sensing	NOUN
ajst-24882	100	17	,	,	PUNCT
ajst-24882	100	18	2023,15(20	2023,15(20	NUM
ajst-24882	100	19	)	)	PUNCT
ajst-24882	100	20	.	.	PUNCT
ajst-24882	101	1	[	[	X
ajst-24882	101	2	2	2	X
ajst-24882	101	3	]	]	X
ajst-24882	101	4	kumar	kumar	PROPN
ajst-24882	101	5	d	d	PROPN
ajst-24882	101	6	,	,	PUNCT
ajst-24882	101	7	thakur	thakur	PROPN
ajst-24882	101	8	m	m	PROPN
ajst-24882	101	9	,	,	PUNCT
ajst-24882	101	10	dubey	dubey	PROPN
ajst-24882	101	11	c	c	PROPN
ajst-24882	101	12	s	s	PROPN
ajst-24882	101	13	et	et	PROPN
ajst-24882	101	14	al	al	PROPN
ajst-24882	101	15	.	.	PROPN
ajst-24882	101	16	landslide	landslide	PROPN
ajst-24882	101	17	susceptibility	susceptibility	NOUN
ajst-24882	101	18	mapping	mapping	NOUN
ajst-24882	101	19	&	&	CCONJ
ajst-24882	101	20	prediction	prediction	NOUN
ajst-24882	101	21	using	use	VERB
ajst-24882	101	22	support	support	NOUN
ajst-24882	101	23	vector	vector	NOUN
ajst-24882	101	24	machine	machine	NOUN
ajst-24882	101	25	for	for	ADP
ajst-24882	101	26	mandakini	mandakini	PROPN
ajst-24882	101	27	river	river	NOUN
ajst-24882	101	28	basin	basin	NOUN
ajst-24882	101	29	,	,	PUNCT
ajst-24882	101	30	garhwal	garhwal	PROPN
ajst-24882	101	31	himalaya	himalaya	PROPN
ajst-24882	101	32	,	,	PUNCT
ajst-24882	101	33	india[j	india[j	PROPN
ajst-24882	101	34	]	]	PUNCT
ajst-24882	101	35	.	.	PUNCT
ajst-24882	102	1	geomorphology	geomorphology	NOUN
ajst-24882	102	2	,	,	PUNCT
ajst-24882	102	3	2017,295(oct.15	2017,295(oct.15	NUM
ajst-24882	102	4	):	):	PUNCT
ajst-24882	102	5	115	115	NUM
ajst-24882	102	6	-	-	SYM
ajst-24882	102	7	125	125	NUM
ajst-24882	102	8	.	.	PUNCT
ajst-24882	103	1	[	[	X
ajst-24882	103	2	3	3	X
ajst-24882	103	3	]	]	PUNCT
ajst-24882	103	4	yesilnacar	yesilnacar	ADJ
ajst-24882	103	5	e	e	NOUN
ajst-24882	103	6	,	,	PUNCT
ajst-24882	103	7	topal	topal	PROPN
ajst-24882	103	8	t	t	PROPN
ajst-24882	103	9	landslide	landslide	NOUN
ajst-24882	103	10	susceptibility	susceptibility	NOUN
ajst-24882	103	11	mapping	mapping	NOUN
ajst-24882	103	12	:	:	PUNCT
ajst-24882	103	13	a	a	DET
ajst-24882	103	14	comparison	comparison	NOUN
ajst-24882	103	15	of	of	ADP
ajst-24882	103	16	logistic	logistic	ADJ
ajst-24882	103	17	regression	regression	NOUN
ajst-24882	103	18	and	and	CCONJ
ajst-24882	103	19	neural	neural	ADJ
ajst-24882	103	20	networks	network	NOUN
ajst-24882	103	21	methods	method	NOUN
ajst-24882	103	22	in	in	ADP
ajst-24882	103	23	a	a	DET
ajst-24882	103	24	medium	medium	ADJ
ajst-24882	103	25	scale	scale	NOUN
ajst-24882	103	26	study	study	NOUN
ajst-24882	103	27	,	,	PUNCT
ajst-24882	103	28	hendek	hendek	PROPN
ajst-24882	103	29	region(turkey)[j	region(turkey)[j	PROPN
ajst-24882	103	30	]	]	PUNCT
ajst-24882	103	31	.	.	PUNCT
ajst-24882	104	1	engineering	engineer	VERB
ajst-24882	104	2	geology	geology	NOUN
ajst-24882	104	3	,	,	PUNCT
ajst-24882	104	4	2005,79(3	2005,79(3	NUM
ajst-24882	104	5	-	-	PUNCT
ajst-24882	104	6	4	4	NUM
ajst-24882	104	7	):	):	PUNCT
ajst-24882	104	8	251	251	NUM
ajst-24882	104	9	-	-	SYM
ajst-24882	104	10	266	266	NUM
ajst-24882	104	11	.	.	PUNCT
ajst-24882	105	1	[	[	X
ajst-24882	105	2	4	4	NUM
ajst-24882	105	3	]	]	PUNCT
ajst-24882	105	4	kalantar	kalantar	NOUN
ajst-24882	105	5	b	b	PROPN
ajst-24882	105	6	,	,	PUNCT
ajst-24882	105	7	ueda	ueda	PROPN
ajst-24882	105	8	n	n	CCONJ
ajst-24882	105	9	,	,	PUNCT
ajst-24882	105	10	al	al	PROPN
ajst-24882	105	11	-	-	PUNCT
ajst-24882	105	12	najjar	najjar	PROPN
ajst-24882	105	13	h	h	PROPN
ajst-24882	105	14	a	a	DET
ajst-24882	105	15	h	h	NOUN
ajst-24882	105	16	et	et	PROPN
ajst-24882	105	17	al	al	PROPN
ajst-24882	105	18	.	.	PROPN
ajst-24882	105	19	landslide	landslide	PROPN
ajst-24882	105	20	susceptibility	susceptibility	NOUN
ajst-24882	105	21	mapping	mapping	NOUN
ajst-24882	105	22	at	at	ADP
ajst-24882	105	23	dodangeh	dodangeh	NOUN
ajst-24882	105	24	watershed	watershed	PROPN
ajst-24882	105	25	,	,	PUNCT
ajst-24882	105	26	iran	iran	PROPN
ajst-24882	105	27	,	,	PUNCT
ajst-24882	105	28	using	use	VERB
ajst-24882	105	29	lr	lr	NOUN
ajst-24882	105	30	and	and	CCONJ
ajst-24882	105	31	ann	ann	PROPN
ajst-24882	105	32	models	model	NOUN
ajst-24882	105	33	in	in	ADP
ajst-24882	105	34	gis[c	gis[c	PROPN
ajst-24882	105	35	]	]	PUNCT
ajst-24882	105	36	.	.	PUNCT
ajst-24882	106	1	spie	spie	NOUN
ajst-24882	106	2	remote	remote	NOUN
ajst-24882	106	3	sensing.2018	sensing.2018	PROPN
ajst-24882	106	4	.	.	PUNCT
ajst-24882	107	1	[	[	X
ajst-24882	107	2	5	5	NUM
ajst-24882	107	3	]	]	X
ajst-24882	107	4	jibson	jibson	NOUN
ajst-24882	107	5	,	,	PUNCT
ajst-24882	107	6	r	r	NOUN
ajst-24882	107	7	.w	.w	NOUN
ajst-24882	107	8	.	.	PUNCT
ajst-24882	108	1	and	and	CCONJ
ajst-24882	108	2	keefer	keefer	PROPN
ajst-24882	108	3	,	,	PUNCT
ajst-24882	108	4	d.k	d.k	PROPN
ajst-24882	108	5	.	.	PROPN
ajst-24882	108	6	:	:	PUNCT
ajst-24882	108	7	1989	1989	NUM
ajst-24882	108	8	,	,	PUNCT
ajst-24882	108	9	statistical	statistical	ADJ
ajst-24882	108	10	analysis	analysis	NOUN
ajst-24882	108	11	of	of	ADP
ajst-24882	108	12	factors	factor	NOUN
ajst-24882	108	13	affecting	affect	VERB
ajst-24882	108	14	landslide	landslide	NOUN
ajst-24882	108	15	distribution	distribution	NOUN
ajst-24882	108	16	inthe	inthe	PRON
ajst-24882	108	17	new	new	ADJ
ajst-24882	108	18	madrid	madrid	PROPN
ajst-24882	108	19	seismic	seismic	PROPN
ajst-24882	108	20	zone	zone	PROPN
ajst-24882	108	21	,	,	PUNCT
ajst-24882	108	22	tennessee	tennessee	PROPN
ajst-24882	108	23	and	and	CCONJ
ajst-24882	108	24	kentucky	kentucky	PROPN
ajst-24882	108	25	,	,	PUNCT
ajst-24882	108	26	engineering	engineer	VERB
ajst-24882	108	27	geology	geology	NOUN
ajst-24882	108	28	27	27	NUM
ajst-24882	108	29	,	,	PUNCT
ajst-24882	108	30	509	509	NUM
ajst-24882	108	31	-	-	SYM
ajst-24882	108	32	542	542	NUM
ajst-24882	108	33	.	.	PUNCT
ajst-24882	109	1	[	[	X
ajst-24882	109	2	6	6	NUM
ajst-24882	109	3	]	]	X
ajst-24882	109	4	youssef	youssef	PROPN
ajst-24882	109	5	ahmed	ahmed	PROPN
ajst-24882	109	6	mohamed	mohamed	PROPN
ajst-24882	109	7	,	,	PUNCT
ajst-24882	109	8	pourghasemi	pourghasemi	PROPN
ajst-24882	109	9	hamid	hamid	PROPN
ajst-24882	109	10	reza	reza	PROPN
ajst-24882	109	11	.	.	PUNCT
ajst-24882	110	1	landslide	landslide	NOUN
ajst-24882	110	2	susceptibility	susceptibility	NOUN
ajst-24882	110	3	mapping	mapping	NOUN
ajst-24882	110	4	using	use	VERB
ajst-24882	110	5	machine	machine	NOUN
ajst-24882	110	6	learning	learn	VERB
ajst-24882	110	7	algorithms	algorithm	NOUN
ajst-24882	110	8	and	and	CCONJ
ajst-24882	110	9	comparison	comparison	NOUN
ajst-24882	110	10	of	of	ADP
ajst-24882	110	11	their	their	PRON
ajst-24882	110	12	performance	performance	NOUN
ajst-24882	110	13	at	at	ADP
ajst-24882	110	14	abha	abha	NOUN
ajst-24882	110	15	basin	basin	NOUN
ajst-24882	110	16	,	,	PUNCT
ajst-24882	110	17	asir	asir	PROPN
ajst-24882	110	18	region	region	PROPN
ajst-24882	110	19	,	,	PUNCT
ajst-24882	110	20	saudi	saudi	ADJ
ajst-24882	110	21	arabia[j].geoscience	arabia[j].geoscience	NOUN
ajst-24882	110	22	frontiers	frontier	NOUN
ajst-24882	110	23	,	,	PUNCT
ajst-24882	110	24	2021,12(2	2021,12(2	NOUN
ajst-24882	110	25	)	)	PUNCT
ajst-24882	110	26	.	.	PUNCT
ajst-24882	111	1	[	[	X
ajst-24882	111	2	7	7	NUM
ajst-24882	111	3	]	]	X
ajst-24882	111	4	gogtay	gogtay	NOUN
ajst-24882	111	5	,	,	PUNCT
ajst-24882	111	6	nithya	nithya	PROPN
ajst-24882	111	7	j.	j.	PROPN
ajst-24882	111	8	,	,	PUNCT
ajst-24882	111	9	and	and	CCONJ
ajst-24882	111	10	urmila	urmila	PROPN
ajst-24882	111	11	m.	m.	PROPN
ajst-24882	111	12	thatte	thatte	PROPN
ajst-24882	111	13	.	.	PUNCT
ajst-24882	112	1	"	"	PUNCT
ajst-24882	112	2	principles	principle	NOUN
ajst-24882	112	3	of	of	ADP
ajst-24882	112	4	correlation	correlation	NOUN
ajst-24882	112	5	analysis	analysis	NOUN
ajst-24882	112	6	.	.	PUNCT
ajst-24882	112	7	"	"	PUNCT
ajst-24882	113	1	journal	journal	NOUN
ajst-24882	113	2	of	of	ADP
ajst-24882	113	3	the	the	DET
ajst-24882	113	4	association	association	NOUN
ajst-24882	113	5	of	of	ADP
ajst-24882	113	6	physicians	physician	NOUN
ajst-24882	113	7	of	of	ADP
ajst-24882	113	8	india	india	PROPN
ajst-24882	113	9	65.3	65.3	NUM
ajst-24882	113	10	(	(	PUNCT
ajst-24882	113	11	2017	2017	NUM
ajst-24882	113	12	):	):	PUNCT
ajst-24882	113	13	78	78	NUM
ajst-24882	113	14	-	-	SYM
ajst-24882	113	15	81	81	NUM
ajst-24882	113	16	.	.	PUNCT
ajst-24882	114	1	[	[	X
ajst-24882	114	2	8	8	NUM
ajst-24882	114	3	]	]	X
ajst-24882	114	4	shadman	shadman	NOUN
ajst-24882	114	5	roodposhti	roodposhti	NOUN
ajst-24882	114	6	m	m	PROPN
ajst-24882	114	7	,	,	PUNCT
ajst-24882	114	8	aryal	aryal	PROPN
ajst-24882	114	9	j	j	PROPN
ajst-24882	114	10	,	,	PUNCT
ajst-24882	114	11	shahabi	shahabi	VERB
ajst-24882	114	12	h	h	NOUN
ajst-24882	114	13	,	,	PUNCT
ajst-24882	114	14	et	et	PROPN
ajst-24882	115	1	al	al	PROPN
ajst-24882	115	2	.	.	PROPN
ajst-24882	115	3	fuzzy	fuzzy	PROPN
ajst-24882	115	4	shannon	shannon	PROPN
ajst-24882	115	5	entropy	entropy	PROPN
ajst-24882	115	6	:	:	PUNCT
ajst-24882	115	7	a	a	DET
ajst-24882	115	8	hybrid	hybrid	ADJ
ajst-24882	115	9	gis	gis	NOUN
ajst-24882	115	10	-	-	PUNCT
ajst-24882	115	11	based	base	VERB
ajst-24882	115	12	landslide	landslide	NOUN
ajst-24882	115	13	susceptibility	susceptibility	NOUN
ajst-24882	115	14	mapping	mapping	NOUN
ajst-24882	115	15	method[j	method[j	PROPN
ajst-24882	115	16	]	]	PUNCT
ajst-24882	115	17	.	.	PUNCT
ajst-24882	116	1	entropy	entropy	PROPN
ajst-24882	116	2	,	,	PUNCT
ajst-24882	116	3	2016	2016	NUM
ajst-24882	116	4	,	,	PUNCT
ajst-24882	116	5	18(10	18(10	NUM
ajst-24882	116	6	):	):	PUNCT
ajst-24882	116	7	343	343	NUM
ajst-24882	116	8	.	.	PUNCT
ajst-24882	117	1	[	[	X
ajst-24882	117	2	9	9	NUM
ajst-24882	117	3	]	]	X
ajst-24882	117	4	liu	liu	PROPN
ajst-24882	117	5	j	j	PROPN
ajst-24882	117	6	,	,	PUNCT
ajst-24882	117	7	wang	wang	PROPN
ajst-24882	117	8	j	j	PROPN
ajst-24882	117	9	,	,	PUNCT
ajst-24882	117	10	xiong	xiong	PROPN
ajst-24882	117	11	j	j	PROPN
ajst-24882	117	12	,	,	PUNCT
ajst-24882	117	13	et	et	PROPN
ajst-24882	117	14	al	al	PROPN
ajst-24882	117	15	.	.	PUNCT
ajst-24882	117	16	hybrid	hybrid	NOUN
ajst-24882	117	17	models	model	NOUN
ajst-24882	117	18	incorporating	incorporate	VERB
ajst-24882	117	19	bivariate	bivariate	ADJ
ajst-24882	117	20	statistics	statistic	NOUN
ajst-24882	117	21	and	and	CCONJ
ajst-24882	117	22	machine	machine	NOUN
ajst-24882	117	23	learning	learning	NOUN
ajst-24882	117	24	methods	method	NOUN
ajst-24882	117	25	for	for	ADP
ajst-24882	117	26	flash	flash	NOUN
ajst-24882	117	27	flood	flood	NOUN
ajst-24882	117	28	susceptibility	susceptibility	NOUN
ajst-24882	117	29	assessment	assessment	NOUN
ajst-24882	117	30	based	base	VERB
ajst-24882	117	31	on	on	ADP
ajst-24882	117	32	remote	remote	ADJ
ajst-24882	117	33	sensing	sense	VERB
ajst-24882	117	34	datasets	dataset	NOUN
ajst-24882	118	1	[	[	X
ajst-24882	118	2	j	j	X
ajst-24882	118	3	]	]	X
ajst-24882	118	4	.	.	PUNCT
ajst-24882	119	1	remote	remote	ADJ
ajst-24882	119	2	sensing	sensing	NOUN
ajst-24882	119	3	,	,	PUNCT
ajst-24882	119	4	2021	2021	NUM
ajst-24882	119	5	,	,	PUNCT
ajst-24882	119	6	13(23	13(23	NOUN
ajst-24882	119	7	):	):	PUNCT
ajst-24882	119	8	4945	4945	NUM
ajst-24882	119	9	.	.	PUNCT
ajst-24882	120	1	[	[	X
ajst-24882	120	2	10	10	NUM
ajst-24882	120	3	]	]	X
ajst-24882	120	4	sujatha	sujatha	PROPN
ajst-24882	120	5	e	e	PROPN
ajst-24882	120	6	r	r	PROPN
ajst-24882	120	7	,	,	PUNCT
ajst-24882	120	8	sridhar	sridhar	NOUN
ajst-24882	120	9	v.	v.	ADP
ajst-24882	120	10	landslide	landslide	NOUN
ajst-24882	120	11	susceptibility	susceptibility	NOUN
ajst-24882	120	12	analysis	analysis	NOUN
ajst-24882	120	13	:	:	PUNCT
ajst-24882	120	14	a	a	DET
ajst-24882	120	15	logistic	logistic	ADJ
ajst-24882	120	16	regression	regression	NOUN
ajst-24882	120	17	model	model	NOUN
ajst-24882	120	18	case	case	NOUN
ajst-24882	120	19	study	study	NOUN
ajst-24882	120	20	in	in	ADP
ajst-24882	120	21	coonoor	coonoor	PROPN
ajst-24882	120	22	,	,	PUNCT
ajst-24882	120	23	india	india	PROPN
ajst-24882	121	1	[	[	X
ajst-24882	121	2	j	j	X
ajst-24882	121	3	]	]	X
ajst-24882	121	4	.	.	PUNCT
ajst-24882	121	5	hydrology	hydrology	NOUN
ajst-24882	121	6	,	,	PUNCT
ajst-24882	121	7	2021	2021	NUM
ajst-24882	121	8	,	,	PUNCT
ajst-24882	121	9	8(1	8(1	NOUN
ajst-24882	121	10	):	):	PUNCT
ajst-24882	121	11	41	41	NUM
ajst-24882	121	12	.	.	PUNCT