id	sid	tid	token	lemma	pos
gc-669	1	1	geologia	geologia	ADJ
gc-669	1	2	croatica	croatica	NOUN
gc-669	1	3	68/3	68/3	NUM
gc-669	1	4	273–283	273–283	NUM
gc-669	1	5	12	12	NUM
gc-669	1	6	figs	fig	NOUN
gc-669	1	7	.	.	PUNCT
gc-669	2	1	3	3	NUM
gc-669	2	2	tabs	tab	NOUN
gc-669	2	3	.	.	PUNCT
gc-669	3	1	zagreb	zagreb	PROPN
gc-669	3	2	2015	2015	NUM
gc-669	3	3	geologia	geologia	PROPN
gc-669	3	4	croaticageologia	croaticageologia	PROPN
gc-669	3	5	croatica	croatica	PROPN
gc-669	3	6	abstract	abstract	PROPN
gc-669	3	7	modelling	model	VERB
gc-669	3	8	spatial	spatial	ADJ
gc-669	3	9	variability	variability	NOUN
gc-669	3	10	and	and	CCONJ
gc-669	3	11	uncertainty	uncertainty	NOUN
gc-669	3	12	is	be	AUX
gc-669	3	13	a	a	DET
gc-669	3	14	highly	highly	ADV
gc-669	3	15	challenging	challenging	ADJ
gc-669	3	16	subject	subject	NOUN
gc-669	3	17	in	in	ADP
gc-669	3	18	soiland	soiland	ADJ
gc-669	3	19	geosciences	geoscience	NOUN
gc-669	3	20	.	.	PUNCT
gc-669	4	1	regression	regression	NOUN
gc-669	4	2	kriging	krige	VERB
gc-669	4	3	(	(	PUNCT
gc-669	4	4	rk	rk	NOUN
gc-669	4	5	)	)	PUNCT
gc-669	4	6	has	have	VERB
gc-669	4	7	several	several	ADJ
gc-669	4	8	advantages	advantage	NOUN
gc-669	4	9	;	;	PUNCT
gc-669	4	10	nevertheless	nevertheless	ADV
gc-669	4	11	it	it	PRON
gc-669	4	12	is	be	AUX
gc-669	4	13	not	not	PART
gc-669	4	14	able	able	ADJ
gc-669	4	15	to	to	PART
gc-669	4	16	model	model	VERB
gc-669	4	17	the	the	DET
gc-669	4	18	spatial	spatial	ADJ
gc-669	4	19	uncertainty	uncertainty	NOUN
gc-669	4	20	of	of	ADP
gc-669	4	21	the	the	DET
gc-669	4	22	target	target	NOUN
gc-669	4	23	variable	variable	NOUN
gc-669	4	24	.	.	PUNCT
gc-669	5	1	the	the	DET
gc-669	5	2	main	main	ADJ
gc-669	5	3	aim	aim	NOUN
gc-669	5	4	of	of	ADP
gc-669	5	5	this	this	DET
gc-669	5	6	study	study	NOUN
gc-669	5	7	is	be	AUX
gc-669	5	8	to	to	PART
gc-669	5	9	present	present	VERB
gc-669	5	10	and	and	CCONJ
gc-669	5	11	test	test	VERB
gc-669	5	12	a	a	DET
gc-669	5	13	sequential	sequential	ADJ
gc-669	5	14	stochastic	stochastic	ADJ
gc-669	5	15	simulation	simulation	NOUN
gc-669	5	16	approach	approach	NOUN
gc-669	5	17	based	base	VERB
gc-669	5	18	on	on	ADP
gc-669	5	19	regression	regression	NOUN
gc-669	5	20	kriging	krige	VERB
gc-669	5	21	(	(	PUNCT
gc-669	5	22	sssrk	sssrk	NOUN
gc-669	5	23	)	)	PUNCT
gc-669	5	24	,	,	PUNCT
gc-669	5	25	which	which	PRON
gc-669	5	26	can	can	AUX
gc-669	5	27	be	be	AUX
gc-669	5	28	used	use	VERB
gc-669	5	29	to	to	PART
gc-669	5	30	generate	generate	VERB
gc-669	5	31	alternative	alternative	ADJ
gc-669	5	32	and	and	CCONJ
gc-669	5	33	equally	equally	ADV
gc-669	5	34	probable	probable	ADJ
gc-669	5	35	realizations	realization	NOUN
gc-669	5	36	in	in	ADP
gc-669	5	37	order	order	NOUN
gc-669	5	38	to	to	PART
gc-669	5	39	model	model	VERB
gc-669	5	40	the	the	DET
gc-669	5	41	spatial	spatial	ADJ
gc-669	5	42	variability	variability	NOUN
gc-669	5	43	and	and	CCONJ
gc-669	5	44	uncertainty	uncertainty	NOUN
gc-669	5	45	of	of	ADP
gc-669	5	46	the	the	DET
gc-669	5	47	target	target	NOUN
gc-669	5	48	variable	variable	NOUN
gc-669	5	49	;	;	PUNCT
gc-669	5	50	meanwhile	meanwhile	ADV
gc-669	5	51	the	the	DET
gc-669	5	52	advantages	advantage	NOUN
gc-669	5	53	of	of	ADP
gc-669	5	54	the	the	DET
gc-669	5	55	rk	rk	NOUN
gc-669	5	56	technique	technique	NOUN
gc-669	5	57	are	be	AUX
gc-669	5	58	retained	retain	VERB
gc-669	5	59	.	.	PUNCT
gc-669	6	1	the	the	DET
gc-669	6	2	sssrk	sssrk	NOUN
gc-669	6	3	method	method	NOUN
gc-669	6	4	was	be	AUX
gc-669	6	5	tested	test	VERB
gc-669	6	6	in	in	ADP
gc-669	6	7	a	a	DET
gc-669	6	8	sub	sub	ADJ
gc-669	6	9	-	-	ADJ
gc-669	6	10	catchment	catchment	ADJ
gc-669	6	11	area	area	NOUN
gc-669	6	12	of	of	ADP
gc-669	6	13	the	the	DET
gc-669	6	14	lajvér	lajvér	NOUN
gc-669	6	15	stream	stream	NOUN
gc-669	6	16	,	,	PUNCT
gc-669	6	17	in	in	ADP
gc-669	6	18	southern	southern	ADJ
gc-669	6	19	hungary	hungary	PROPN
gc-669	6	20	for	for	ADP
gc-669	6	21	the	the	DET
gc-669	6	22	high	high	ADJ
gc-669	6	23	resolution	resolution	NOUN
gc-669	6	24	modelling	modelling	NOUN
gc-669	6	25	(	(	PUNCT
gc-669	6	26	i.e.	i.e.	X
gc-669	6	27	10	10	NUM
gc-669	6	28	metre	metre	NOUN
gc-669	6	29	grid	grid	NOUN
gc-669	6	30	spacing	spacing	NOUN
gc-669	6	31	)	)	PUNCT
gc-669	6	32	of	of	ADP
gc-669	6	33	the	the	DET
gc-669	6	34	spatial	spatial	ADJ
gc-669	6	35	distribution	distribution	NOUN
gc-669	6	36	of	of	ADP
gc-669	6	37	soil	soil	NOUN
gc-669	6	38	organic	organic	ADJ
gc-669	6	39	matter	matter	NOUN
gc-669	6	40	(	(	PUNCT
gc-669	6	41	som	som	NOUN
gc-669	6	42	)	)	PUNCT
gc-669	6	43	.	.	PUNCT
gc-669	7	1	in	in	ADP
gc-669	7	2	the	the	DET
gc-669	7	3	first	first	ADJ
gc-669	7	4	step	step	NOUN
gc-669	7	5	,	,	PUNCT
gc-669	7	6	secondary	secondary	ADJ
gc-669	7	7	information	information	NOUN
gc-669	7	8	was	be	AUX
gc-669	7	9	derived	derive	VERB
gc-669	7	10	according	accord	VERB
gc-669	7	11	to	to	ADP
gc-669	7	12	the	the	DET
gc-669	7	13	soil	soil	NOUN
gc-669	7	14	-	-	PUNCT
gc-669	7	15	forming	form	VERB
gc-669	7	16	factors	factor	NOUN
gc-669	7	17	;	;	PUNCT
gc-669	7	18	then	then	ADV
gc-669	7	19	the	the	DET
gc-669	7	20	rk	rk	NOUN
gc-669	7	21	system	system	NOUN
gc-669	7	22	was	be	AUX
gc-669	7	23	built	build	VERB
gc-669	7	24	up	up	ADP
gc-669	7	25	,	,	PUNCT
gc-669	7	26	which	which	PRON
gc-669	7	27	provides	provide	VERB
gc-669	7	28	the	the	DET
gc-669	7	29	base	base	NOUN
gc-669	7	30	of	of	ADP
gc-669	7	31	sssrk	sssrk	NOUN
gc-669	7	32	.	.	PUNCT
gc-669	8	1	100	100	NUM
gc-669	8	2	realizations	realization	NOUN
gc-669	8	3	were	be	AUX
gc-669	8	4	generated	generate	VERB
gc-669	8	5	,	,	PUNCT
gc-669	8	6	which	which	PRON
gc-669	8	7	reproduced	reproduce	VERB
gc-669	8	8	the	the	DET
gc-669	8	9	model	model	NOUN
gc-669	8	10	statistics	statistic	NOUN
gc-669	8	11	and	and	CCONJ
gc-669	8	12	honoured	honour	VERB
gc-669	8	13	the	the	DET
gc-669	8	14	input	input	NOUN
gc-669	8	15	dataset	dataset	NOUN
gc-669	8	16	.	.	PUNCT
gc-669	9	1	these	these	DET
gc-669	9	2	realizations	realization	NOUN
gc-669	9	3	provide	provide	VERB
gc-669	9	4	100	100	NUM
gc-669	9	5	simulated	simulated	ADJ
gc-669	9	6	values	value	NOUN
gc-669	9	7	for	for	ADP
gc-669	9	8	each	each	DET
gc-669	9	9	grid	grid	NOUN
gc-669	9	10	node	node	NOUN
gc-669	9	11	,	,	PUNCT
gc-669	9	12	which	which	PRON
gc-669	9	13	is	be	AUX
gc-669	9	14	an	an	DET
gc-669	9	15	appropriate	appropriate	ADJ
gc-669	9	16	number	number	NOUN
gc-669	9	17	for	for	ADP
gc-669	9	18	calculating	calculate	VERB
gc-669	9	19	the	the	DET
gc-669	9	20	cumulative	cumulative	ADJ
gc-669	9	21	distributions	distribution	NOUN
gc-669	9	22	for	for	ADP
gc-669	9	23	each	each	DET
gc-669	9	24	grid	grid	NOUN
gc-669	9	25	node	node	NOUN
gc-669	9	26	.	.	PUNCT
gc-669	10	1	using	use	VERB
gc-669	10	2	these	these	DET
gc-669	10	3	cumulative	cumulative	ADJ
gc-669	10	4	distributions	distribution	NOUN
gc-669	10	5	the	the	DET
gc-669	10	6	following	follow	VERB
gc-669	10	7	maps	map	NOUN
gc-669	10	8	were	be	AUX
gc-669	10	9	derived	derive	VERB
gc-669	10	10	:	:	PUNCT
gc-669	10	11	the	the	DET
gc-669	10	12	map	map	NOUN
gc-669	10	13	of	of	ADP
gc-669	10	14	the	the	DET
gc-669	10	15	e	e	NOUN
gc-669	10	16	-	-	NOUN
gc-669	10	17	type	type	NOUN
gc-669	10	18	estimation	estimation	NOUN
gc-669	10	19	,	,	PUNCT
gc-669	10	20	the	the	DET
gc-669	10	21	corresponding	correspond	VERB
gc-669	10	22	95	95	NUM
gc-669	10	23	%	%	NOUN
gc-669	10	24	confidence	confidence	NOUN
gc-669	10	25	interval	interval	NOUN
gc-669	10	26	width	width	NOUN
gc-669	10	27	’s	’s	PART
gc-669	10	28	map	map	NOUN
gc-669	10	29	and	and	CCONJ
gc-669	10	30	the	the	DET
gc-669	10	31	map	map	NOUN
gc-669	10	32	of	of	ADP
gc-669	10	33	the	the	DET
gc-669	10	34	probability	probability	NOUN
gc-669	10	35	of	of	ADP
gc-669	10	36	the	the	DET
gc-669	10	37	event	event	NOUN
gc-669	10	38	of	of	ADP
gc-669	10	39	{	{	PUNCT
gc-669	10	40	som	som	NOUN
gc-669	10	41	<	<	X
gc-669	10	42	1.5	1.5	NUM
gc-669	10	43	%	%	NOUN
gc-669	10	44	}	}	PUNCT
gc-669	10	45	.	.	PUNCT
gc-669	11	1	the	the	DET
gc-669	11	2	latter	latter	ADJ
gc-669	11	3	map	map	NOUN
gc-669	11	4	is	be	AUX
gc-669	11	5	highly	highly	ADV
gc-669	11	6	informative	informative	ADJ
gc-669	11	7	in	in	ADP
gc-669	11	8	soil	soil	NOUN
gc-669	11	9	protection	protection	NOUN
gc-669	11	10	and	and	CCONJ
gc-669	11	11	management	management	NOUN
gc-669	11	12	planning	planning	NOUN
gc-669	11	13	.	.	PUNCT
gc-669	12	1	the	the	DET
gc-669	12	2	resulting	result	VERB
gc-669	12	3	model	model	NOUN
gc-669	12	4	and	and	CCONJ
gc-669	12	5	maps	map	NOUN
gc-669	12	6	showed	show	VERB
gc-669	12	7	that	that	SCONJ
gc-669	12	8	,	,	PUNCT
gc-669	12	9	sssrk	sssrk	NOUN
gc-669	12	10	is	be	AUX
gc-669	12	11	a	a	DET
gc-669	12	12	valuable	valuable	ADJ
gc-669	12	13	technique	technique	NOUN
gc-669	12	14	to	to	ADP
gc-669	12	15	model	model	NOUN
gc-669	12	16	and	and	CCONJ
gc-669	12	17	assess	assess	VERB
gc-669	12	18	the	the	DET
gc-669	12	19	spatial	spatial	ADJ
gc-669	12	20	variability	variability	NOUN
gc-669	12	21	and	and	CCONJ
gc-669	12	22	uncertainty	uncertainty	NOUN
gc-669	12	23	of	of	ADP
gc-669	12	24	the	the	DET
gc-669	12	25	target	target	NOUN
gc-669	12	26	variable	variable	NOUN
gc-669	12	27	.	.	PUNCT
gc-669	13	1	furthermore	furthermore	ADV
gc-669	13	2	,	,	PUNCT
gc-669	13	3	the	the	DET
gc-669	13	4	comparison	comparison	NOUN
gc-669	13	5	of	of	ADP
gc-669	13	6	rk	rk	NOUN
gc-669	13	7	and	and	CCONJ
gc-669	13	8	sssrk	sssrk	NOUN
gc-669	13	9	showed	show	VERB
gc-669	13	10	that	that	SCONJ
gc-669	13	11	the	the	DET
gc-669	13	12	sssrk	sssrk	NOUN
gc-669	13	13	’s	’s	PART
gc-669	13	14	e	e	NOUN
gc-669	13	15	-	-	NOUN
gc-669	13	16	type	type	NOUN
gc-669	13	17	estimation	estimation	NOUN
gc-669	13	18	and	and	CCONJ
gc-669	13	19	the	the	DET
gc-669	13	20	rk	rk	NOUN
gc-669	13	21	estimation	estimation	NOUN
gc-669	13	22	gave	give	VERB
gc-669	13	23	almost	almost	ADV
gc-669	13	24	the	the	DET
gc-669	13	25	same	same	ADJ
gc-669	13	26	results	result	NOUN
gc-669	13	27	due	due	ADP
gc-669	13	28	to	to	ADP
gc-669	13	29	the	the	DET
gc-669	13	30	fairly	fairly	ADV
gc-669	13	31	high	high	ADJ
gc-669	13	32	r2	r2	NOUN
gc-669	13	33	value	value	NOUN
gc-669	13	34	of	of	ADP
gc-669	13	35	the	the	DET
gc-669	13	36	regression	regression	NOUN
gc-669	13	37	model	model	NOUN
gc-669	13	38	(	(	PUNCT
gc-669	13	39	r2=0.809	r2=0.809	NOUN
gc-669	13	40	)	)	PUNCT
gc-669	13	41	,	,	PUNCT
gc-669	13	42	which	which	PRON
gc-669	13	43	decreased	decrease	VERB
gc-669	13	44	the	the	DET
gc-669	13	45	smoothing	smooth	VERB
gc-669	13	46	effect	effect	NOUN
gc-669	13	47	.	.	PUNCT
gc-669	14	1	keywords	keyword	NOUN
gc-669	14	2	:	:	PUNCT
gc-669	14	3	geostatistics	geostatistic	NOUN
gc-669	14	4	,	,	PUNCT
gc-669	14	5	regression	regression	NOUN
gc-669	14	6	kriging	krige	VERB
gc-669	14	7	,	,	PUNCT
gc-669	14	8	sequential	sequential	ADJ
gc-669	14	9	stochastic	stochastic	ADJ
gc-669	14	10	simulation	simulation	NOUN
gc-669	14	11	,	,	PUNCT
gc-669	14	12	spatial	spatial	ADJ
gc-669	14	13	uncertainty	uncertainty	NOUN
gc-669	14	14	,	,	PUNCT
gc-669	14	15	soil	soil	NOUN
gc-669	14	16	organic	organic	ADJ
gc-669	14	17	matter	matter	NOUN
gc-669	14	18	1	1	NUM
gc-669	14	19	.	.	PUNCT
gc-669	14	20	introduction	introduction	NOUN
gc-669	14	21	modelling	model	VERB
gc-669	14	22	the	the	DET
gc-669	14	23	spatial	spatial	ADJ
gc-669	14	24	distribution	distribution	NOUN
gc-669	14	25	,	,	PUNCT
gc-669	14	26	variability	variability	NOUN
gc-669	14	27	and	and	CCONJ
gc-669	14	28	uncertainty	uncertainty	NOUN
gc-669	14	29	of	of	ADP
gc-669	14	30	soil	soil	NOUN
gc-669	14	31	related	relate	VERB
gc-669	14	32	attribute(s	attribute(s	NOUN
gc-669	14	33	)	)	PUNCT
gc-669	14	34	(	(	PUNCT
gc-669	14	35	e.g.	e.g.	ADV
gc-669	14	36	soil	soil	NOUN
gc-669	14	37	organic	organic	ADJ
gc-669	14	38	matter	matter	NOUN
gc-669	14	39	content	content	NOUN
gc-669	14	40	,	,	PUNCT
gc-669	14	41	rooting	root	VERB
gc-669	14	42	depth	depth	NOUN
gc-669	14	43	,	,	PUNCT
gc-669	14	44	ph	ph	VERB
gc-669	14	45	,	,	PUNCT
gc-669	14	46	particle	particle	NOUN
gc-669	14	47	size	size	NOUN
gc-669	14	48	distribution	distribution	NOUN
gc-669	14	49	,	,	PUNCT
gc-669	14	50	bulk	bulk	ADJ
gc-669	14	51	density	density	NOUN
gc-669	14	52	)	)	PUNCT
gc-669	14	53	is	be	AUX
gc-669	14	54	a	a	DET
gc-669	14	55	challenging	challenging	ADJ
gc-669	14	56	subject	subject	NOUN
gc-669	14	57	in	in	ADP
gc-669	14	58	the	the	DET
gc-669	14	59	soiland	soiland	ADJ
gc-669	14	60	geosciences	geoscience	NOUN
gc-669	14	61	,	,	PUNCT
gc-669	14	62	as	as	ADV
gc-669	14	63	well	well	ADV
gc-669	14	64	as	as	ADP
gc-669	14	65	in	in	ADP
gc-669	14	66	general	general	ADJ
gc-669	14	67	environmental	environmental	ADJ
gc-669	14	68	research	research	NOUN
gc-669	14	69	.	.	PUNCT
gc-669	15	1	the	the	DET
gc-669	15	2	resulting	result	VERB
gc-669	15	3	model(s	model(s	NOUN
gc-669	15	4	)	)	PUNCT
gc-669	15	5	can	can	AUX
gc-669	15	6	be	be	AUX
gc-669	15	7	applied	apply	VERB
gc-669	15	8	to	to	PART
gc-669	15	9	support	support	VERB
gc-669	15	10	various	various	ADJ
gc-669	15	11	soil	soil	NOUN
gc-669	15	12	and	and	CCONJ
gc-669	15	13	environmental	environmental	ADJ
gc-669	15	14	related	relate	VERB
gc-669	15	15	decisions	decision	NOUN
gc-669	15	16	,	,	PUNCT
gc-669	15	17	such	such	ADJ
gc-669	15	18	as	as	ADP
gc-669	15	19	delineation	delineation	NOUN
gc-669	15	20	of	of	ADP
gc-669	15	21	contaminated	contaminate	VERB
gc-669	15	22	or	or	CCONJ
gc-669	15	23	endangered	endangered	ADJ
gc-669	15	24	zones	zone	NOUN
gc-669	15	25	,	,	PUNCT
gc-669	15	26	estimation	estimation	NOUN
gc-669	15	27	of	of	ADP
gc-669	15	28	remediation	remediation	NOUN
gc-669	15	29	costs	cost	NOUN
gc-669	15	30	,	,	PUNCT
gc-669	15	31	identification	identification	NOUN
gc-669	15	32	areas	area	NOUN
gc-669	15	33	for	for	ADP
gc-669	15	34	fertilization	fertilization	NOUN
gc-669	15	35	or	or	CCONJ
gc-669	15	36	crop	crop	NOUN
gc-669	15	37	growth	growth	NOUN
gc-669	15	38	and	and	CCONJ
gc-669	15	39	so	so	ADV
gc-669	15	40	forth	forth	ADV
gc-669	15	41	.	.	PUNCT
gc-669	16	1	geostatistics	geostatistic	NOUN
gc-669	16	2	,	,	PUNCT
gc-669	16	3	which	which	PRON
gc-669	16	4	can	can	AUX
gc-669	16	5	be	be	AUX
gc-669	16	6	regarded	regard	VERB
gc-669	16	7	as	as	ADP
gc-669	16	8	a	a	DET
gc-669	16	9	subset	subset	NOUN
gc-669	16	10	of	of	ADP
gc-669	16	11	statesting	stateste	VERB
gc-669	16	12	a	a	DET
gc-669	16	13	sequential	sequential	ADJ
gc-669	16	14	stochastic	stochastic	ADJ
gc-669	16	15	simulation	simulation	NOUN
gc-669	16	16	method	method	NOUN
gc-669	16	17	based	base	VERB
gc-669	16	18	on	on	ADP
gc-669	16	19	regression	regression	NOUN
gc-669	16	20	kriging	krige	VERB
gc-669	16	21	in	in	ADP
gc-669	16	22	a	a	DET
gc-669	16	23	catchment	catchment	NOUN
gc-669	16	24	area	area	NOUN
gc-669	16	25	in	in	ADP
gc-669	16	26	southern	southern	ADJ
gc-669	16	27	hungary	hungary	PROPN
gc-669	16	28			PROPN
gc-669	16	29	gábor	gábor	PROPN
gc-669	16	30	szatmári1	szatmári1	PROPN
gc-669	16	31	,	,	PUNCT
gc-669	16	32	károly	károly	ADJ
gc-669	16	33	barta1	barta1	PROPN
gc-669	16	34	,	,	PUNCT
gc-669	16	35	andrea	andrea	PROPN
gc-669	16	36	farsang1	farsang1	PROPN
gc-669	16	37	and	and	CCONJ
gc-669	16	38	lászló	lászló	ADJ
gc-669	16	39	pásztor2	pásztor2	PROPN
gc-669	16	40	1	1	NUM
gc-669	16	41	department	department	NOUN
gc-669	16	42	of	of	ADP
gc-669	16	43	physical	physical	ADJ
gc-669	16	44	geography	geography	NOUN
gc-669	16	45	and	and	CCONJ
gc-669	16	46	geoinformatics	geoinformatic	NOUN
gc-669	16	47	,	,	PUNCT
gc-669	16	48	faculty	faculty	NOUN
gc-669	16	49	of	of	ADP
gc-669	16	50	science	science	NOUN
gc-669	16	51	and	and	CCONJ
gc-669	16	52	informatics	informatic	NOUN
gc-669	16	53	,	,	PUNCT
gc-669	16	54	university	university	PROPN
gc-669	16	55	of	of	ADP
gc-669	16	56	szeged	szeged	PROPN
gc-669	16	57	,	,	PUNCT
gc-669	16	58	egyetem	egyetem	PROPN
gc-669	16	59	u.	u.	PROPN
gc-669	16	60	2	2	NUM
gc-669	16	61	.	.	NUM
gc-669	16	62	,	,	PUNCT
gc-669	16	63	h-6722	h-6722	PROPN
gc-669	16	64	szeged	szeged	PROPN
gc-669	16	65	,	,	PUNCT
gc-669	16	66	hungary	hungary	PROPN
gc-669	16	67	;	;	PUNCT
gc-669	16	68	(	(	PUNCT
gc-669	16	69	szatmari.gabor.88@gmail.com	szatmari.gabor.88@gmail.com	X
gc-669	16	70	;	;	PUNCT
gc-669	16	71	barta@geo.u-szeged.hu	barta@geo.u-szeged.hu	NOUN
gc-669	16	72	;	;	PUNCT
gc-669	16	73	farsang@geo.u-szeged.hu	farsang@geo.u-szeged.hu	ADJ
gc-669	16	74	)	)	PUNCT
gc-669	16	75	2	2	NUM
gc-669	16	76	department	department	NOUN
gc-669	16	77	of	of	ADP
gc-669	16	78	environmental	environmental	ADJ
gc-669	16	79	informatics	informatics	PROPN
gc-669	16	80	,	,	PUNCT
gc-669	16	81	institute	institute	NOUN
gc-669	16	82	for	for	ADP
gc-669	16	83	soil	soil	NOUN
gc-669	16	84	sciences	science	NOUN
gc-669	16	85	and	and	CCONJ
gc-669	16	86	agricultural	agricultural	ADJ
gc-669	16	87	chemistry	chemistry	NOUN
gc-669	16	88	,	,	PUNCT
gc-669	16	89	hungarian	hungarian	ADJ
gc-669	16	90	academy	academy	PROPN
gc-669	16	91	of	of	ADP
gc-669	16	92	sciences	sciences	PROPN
gc-669	16	93	,	,	PUNCT
gc-669	16	94	herman	herman	NOUN
gc-669	16	95	ottó	ottó	NOUN
gc-669	16	96	út	út	ADP
gc-669	16	97	15	15	NUM
gc-669	16	98	.	.	PUNCT
gc-669	16	99	,	,	PUNCT
gc-669	16	100	h-1022	h-1022	PROPN
gc-669	16	101	budapest	budapest	NOUN
gc-669	16	102	,	,	PUNCT
gc-669	16	103	hungary	hungary	PROPN
gc-669	16	104	;	;	PUNCT
gc-669	16	105	(	(	PUNCT
gc-669	16	106	pasztor@rissac.hu	pasztor@rissac.hu	NOUN
gc-669	16	107	)	)	PUNCT
gc-669	16	108	doi	doi	NOUN
gc-669	16	109	:	:	PUNCT
gc-669	16	110	10.4154	10.4154	NUM
gc-669	16	111	/	/	SYM
gc-669	16	112	gc.2015.21	gc.2015.21	PROPN
gc-669	16	113	geologia	geologia	PROPN
gc-669	16	114	croatica	croatica	PROPN
gc-669	16	115	68/3geologia	68/3geologia	NUM
gc-669	16	116	croatica	croatica	PROPN
gc-669	16	117	274	274	NUM
gc-669	16	118	fication	fication	NOUN
gc-669	16	119	but	but	CCONJ
gc-669	16	120	they	they	PRON
gc-669	16	121	were	be	AUX
gc-669	16	122	referred	refer	VERB
gc-669	16	123	to	to	ADP
gc-669	16	124	as	as	ADP
gc-669	16	125	“	"	PUNCT
gc-669	16	126	deterministic	deterministic	ADJ
gc-669	16	127	”	"	PUNCT
gc-669	16	128	and	and	CCONJ
gc-669	16	129	“	"	PUNCT
gc-669	16	130	stochastic	stochastic	ADJ
gc-669	16	131	”	"	PUNCT
gc-669	16	132	approaches	approach	NOUN
gc-669	16	133	.	.	PUNCT
gc-669	17	1	the	the	DET
gc-669	17	2	main	main	ADJ
gc-669	17	3	aim	aim	NOUN
gc-669	17	4	of	of	ADP
gc-669	17	5	this	this	DET
gc-669	17	6	study	study	NOUN
gc-669	17	7	is	be	AUX
gc-669	17	8	to	to	PART
gc-669	17	9	present	present	VERB
gc-669	17	10	and	and	CCONJ
gc-669	17	11	test	test	VERB
gc-669	17	12	a	a	DET
gc-669	17	13	sequential	sequential	ADJ
gc-669	17	14	stochastic	stochastic	ADJ
gc-669	17	15	simulation	simulation	NOUN
gc-669	17	16	method	method	NOUN
gc-669	17	17	based	base	VERB
gc-669	17	18	on	on	ADP
gc-669	17	19	regression	regression	NOUN
gc-669	17	20	kriging	krige	VERB
gc-669	17	21	(	(	PUNCT
gc-669	17	22	sssrk	sssrk	NOUN
gc-669	17	23	)	)	PUNCT
gc-669	17	24	,	,	PUNCT
gc-669	17	25	which	which	PRON
gc-669	17	26	is	be	AUX
gc-669	17	27	able	able	ADJ
gc-669	17	28	to	to	PART
gc-669	17	29	generate	generate	VERB
gc-669	17	30	alternative	alternative	ADJ
gc-669	17	31	and	and	CCONJ
gc-669	17	32	equally	equally	ADV
gc-669	17	33	probable	probable	ADJ
gc-669	17	34	realizations	realization	NOUN
gc-669	17	35	(	(	PUNCT
gc-669	17	36	in	in	ADP
gc-669	17	37	order	order	NOUN
gc-669	17	38	to	to	PART
gc-669	17	39	model	model	VERB
gc-669	17	40	the	the	DET
gc-669	17	41	spatial	spatial	ADJ
gc-669	17	42	uncertainty	uncertainty	NOUN
gc-669	17	43	)	)	PUNCT
gc-669	17	44	with	with	ADP
gc-669	17	45	the	the	DET
gc-669	17	46	constraint	constraint	NOUN
gc-669	17	47	that	that	PRON
gc-669	17	48	they	they	PRON
gc-669	17	49	have	have	VERB
gc-669	17	50	to	to	PART
gc-669	17	51	reproduce	reproduce	VERB
gc-669	17	52	the	the	DET
gc-669	17	53	model	model	NOUN
gc-669	17	54	statistics	statistic	NOUN
gc-669	17	55	;	;	PUNCT
gc-669	17	56	meanwhile	meanwhile	ADV
gc-669	17	57	the	the	DET
gc-669	17	58	advantages	advantage	NOUN
gc-669	17	59	of	of	ADP
gc-669	17	60	rk	rk	NOUN
gc-669	17	61	are	be	AUX
gc-669	17	62	retained	retain	VERB
gc-669	17	63	.	.	PUNCT
gc-669	18	1	sssrk	sssrk	NOUN
gc-669	18	2	is	be	AUX
gc-669	18	3	presented	present	VERB
gc-669	18	4	and	and	CCONJ
gc-669	18	5	tested	test	VERB
gc-669	18	6	in	in	ADP
gc-669	18	7	a	a	DET
gc-669	18	8	sub	sub	ADJ
gc-669	18	9	-	-	ADJ
gc-669	18	10	catchment	catchment	ADJ
gc-669	18	11	area	area	NOUN
gc-669	18	12	of	of	ADP
gc-669	18	13	the	the	DET
gc-669	18	14	lajvér	lajvér	NOUN
gc-669	18	15	stream	stream	NOUN
gc-669	18	16	in	in	ADP
gc-669	18	17	southern	southern	ADJ
gc-669	18	18	hungary	hungary	PROPN
gc-669	18	19	,	,	PUNCT
gc-669	18	20	where	where	SCONJ
gc-669	18	21	former	former	ADJ
gc-669	18	22	soil	soil	NOUN
gc-669	18	23	(	(	PUNCT
gc-669	18	24	water	water	NOUN
gc-669	18	25	)	)	PUNCT
gc-669	18	26	erosion	erosion	NOUN
gc-669	18	27	research	research	NOUN
gc-669	18	28	has	have	AUX
gc-669	18	29	resulted	result	VERB
gc-669	18	30	in	in	ADP
gc-669	18	31	particular	particular	ADJ
gc-669	18	32	soil	soil	NOUN
gc-669	18	33	sampling	sampling	NOUN
gc-669	18	34	and	and	CCONJ
gc-669	18	35	laboratory	laboratory	NOUN
gc-669	18	36	analysis	analysis	NOUN
gc-669	18	37	.	.	PUNCT
gc-669	19	1	the	the	DET
gc-669	19	2	study	study	NOUN
gc-669	19	3	site	site	NOUN
gc-669	19	4	is	be	AUX
gc-669	19	5	a	a	DET
gc-669	19	6	good	good	ADJ
gc-669	19	7	example	example	NOUN
gc-669	19	8	from	from	ADP
gc-669	19	9	the	the	DET
gc-669	19	10	point	point	NOUN
gc-669	19	11	of	of	ADP
gc-669	19	12	view	view	NOUN
gc-669	19	13	of	of	ADP
gc-669	19	14	soil	soil	NOUN
gc-669	19	15	science	science	NOUN
gc-669	19	16	because	because	SCONJ
gc-669	19	17	of	of	ADP
gc-669	19	18	the	the	DET
gc-669	19	19	heterogeneous	heterogeneous	ADJ
gc-669	19	20	landscapes	landscape	NOUN
gc-669	19	21	,	,	PUNCT
gc-669	19	22	where	where	SCONJ
gc-669	19	23	the	the	DET
gc-669	19	24	various	various	ADJ
gc-669	19	25	effects	effect	NOUN
gc-669	19	26	of	of	ADP
gc-669	19	27	soil	soil	NOUN
gc-669	19	28	-	-	PUNCT
gc-669	19	29	forming	form	VERB
gc-669	19	30	factors	factor	NOUN
gc-669	19	31	and	and	CCONJ
gc-669	19	32	soil	soil	NOUN
gc-669	19	33	erosion	erosion	NOUN
gc-669	19	34	,	,	PUNCT
gc-669	19	35	as	as	ADV
gc-669	19	36	well	well	ADV
gc-669	19	37	as	as	ADP
gc-669	19	38	the	the	DET
gc-669	19	39	various	various	ADJ
gc-669	19	40	land	land	NOUN
gc-669	19	41	cover	cover	NOUN
gc-669	19	42	types	type	NOUN
gc-669	19	43	diversify	diversify	VERB
gc-669	19	44	the	the	DET
gc-669	19	45	sub	sub	ADJ
gc-669	19	46	-	-	NOUN
gc-669	19	47	catchment	catchment	ADJ
gc-669	19	48	soil	soil	NOUN
gc-669	19	49	pattern	pattern	NOUN
gc-669	19	50	.	.	PUNCT
gc-669	20	1	soil	soil	NOUN
gc-669	20	2	organic	organic	ADJ
gc-669	20	3	matter	matter	NOUN
gc-669	20	4	(	(	PUNCT
gc-669	20	5	som	som	NOUN
gc-669	20	6	)	)	PUNCT
gc-669	20	7	content	content	NOUN
gc-669	20	8	was	be	AUX
gc-669	20	9	chosen	choose	VERB
gc-669	20	10	as	as	ADP
gc-669	20	11	a	a	DET
gc-669	20	12	sample	sample	NOUN
gc-669	20	13	variable	variable	NOUN
gc-669	20	14	,	,	PUNCT
gc-669	20	15	being	be	AUX
gc-669	20	16	a	a	DET
gc-669	20	17	soil	soil	NOUN
gc-669	20	18	attribute	attribute	NOUN
gc-669	20	19	,	,	PUNCT
gc-669	20	20	which	which	PRON
gc-669	20	21	has	have	VERB
gc-669	20	22	an	an	DET
gc-669	20	23	important	important	ADJ
gc-669	20	24	role	role	NOUN
gc-669	20	25	due	due	ADP
gc-669	20	26	to	to	ADP
gc-669	20	27	its	its	PRON
gc-669	20	28	multipurpose	multipurpose	NOUN
gc-669	20	29	functionality	functionality	NOUN
gc-669	20	30	in	in	ADP
gc-669	20	31	the	the	DET
gc-669	20	32	soiland	soiland	ADJ
gc-669	20	33	geosciences	geoscience	NOUN
gc-669	20	34	,	,	PUNCT
gc-669	20	35	as	as	ADV
gc-669	20	36	well	well	ADV
gc-669	20	37	as	as	ADP
gc-669	20	38	in	in	ADP
gc-669	20	39	environmental	environmental	ADJ
gc-669	20	40	research	research	NOUN
gc-669	20	41	.	.	PUNCT
gc-669	21	1	the	the	DET
gc-669	21	2	goal	goal	NOUN
gc-669	21	3	is	be	AUX
gc-669	21	4	to	to	PART
gc-669	21	5	build	build	VERB
gc-669	21	6	up	up	ADP
gc-669	21	7	the	the	DET
gc-669	21	8	high	high	ADJ
gc-669	21	9	resolution	resolution	NOUN
gc-669	21	10	model	model	NOUN
gc-669	21	11	(	(	PUNCT
gc-669	21	12	i.e.	i.e.	X
gc-669	21	13	10	10	NUM
gc-669	21	14	metre	metre	NOUN
gc-669	21	15	grid	grid	NOUN
gc-669	21	16	spacing	spacing	NOUN
gc-669	21	17	)	)	PUNCT
gc-669	21	18	of	of	ADP
gc-669	21	19	the	the	DET
gc-669	21	20	som	som	NOUN
gc-669	21	21	spatial	spatial	ADJ
gc-669	21	22	distribution	distribution	NOUN
gc-669	21	23	based	base	VERB
gc-669	21	24	on	on	ADP
gc-669	21	25	sssrk	sssrk	NOUN
gc-669	21	26	.	.	PUNCT
gc-669	22	1	the	the	DET
gc-669	22	2	resulting	result	VERB
gc-669	22	3	model	model	NOUN
gc-669	22	4	and	and	CCONJ
gc-669	22	5	the	the	DET
gc-669	22	6	derived	derive	VERB
gc-669	22	7	“	"	PUNCT
gc-669	22	8	maps	map	NOUN
gc-669	22	9	”	"	PUNCT
gc-669	22	10	are	be	AUX
gc-669	22	11	of	of	ADP
gc-669	22	12	interest	interest	NOUN
gc-669	22	13	for	for	ADP
gc-669	22	14	precision	precision	NOUN
gc-669	22	15	agriculture	agriculture	NOUN
gc-669	22	16	,	,	PUNCT
gc-669	22	17	water	water	NOUN
gc-669	22	18	erosion	erosion	NOUN
gc-669	22	19	and	and	CCONJ
gc-669	22	20	soil	soil	NOUN
gc-669	22	21	protection	protection	NOUN
gc-669	22	22	research	research	NOUN
gc-669	22	23	,	,	PUNCT
gc-669	22	24	small	small	ADJ
gc-669	22	25	scale	scale	NOUN
gc-669	22	26	landscape	landscape	NOUN
gc-669	22	27	planning	planning	NOUN
gc-669	22	28	and	and	CCONJ
gc-669	22	29	evaluation	evaluation	NOUN
gc-669	22	30	,	,	PUNCT
gc-669	22	31	integrated	integrate	VERB
gc-669	22	32	catchment	catchment	NOUN
gc-669	22	33	management	management	NOUN
gc-669	22	34	and	and	CCONJ
gc-669	22	35	climate	climate	NOUN
gc-669	22	36	change	change	NOUN
gc-669	22	37	research	research	NOUN
gc-669	22	38	(	(	PUNCT
gc-669	22	39	sources	source	NOUN
gc-669	22	40	and	and	CCONJ
gc-669	22	41	sinks	sink	NOUN
gc-669	22	42	for	for	ADP
gc-669	22	43	atmospheric	atmospheric	ADJ
gc-669	22	44	carbon	carbon	NOUN
gc-669	22	45	dioxide	dioxide	NOUN
gc-669	22	46	)	)	PUNCT
gc-669	22	47	.	.	PUNCT
gc-669	23	1	2	2	X
gc-669	23	2	.	.	X
gc-669	23	3	study	study	NOUN
gc-669	23	4	site	site	NOUN
gc-669	23	5	the	the	DET
gc-669	23	6	sub	sub	NOUN
gc-669	23	7	-	-	NOUN
gc-669	23	8	catchment	catchment	NOUN
gc-669	23	9	(	(	PUNCT
gc-669	23	10	area	area	NOUN
gc-669	23	11	is	be	AUX
gc-669	23	12	approximately	approximately	ADV
gc-669	23	13	1.32	1.32	NUM
gc-669	23	14	km2	km2	NOUN
gc-669	23	15	)	)	PUNCT
gc-669	23	16	which	which	PRON
gc-669	23	17	drains	drain	VERB
gc-669	23	18	into	into	ADP
gc-669	23	19	the	the	DET
gc-669	23	20	lajvér	lajvér	NOUN
gc-669	23	21	stream	stream	NOUN
gc-669	23	22	is	be	AUX
gc-669	23	23	located	locate	VERB
gc-669	23	24	in	in	ADP
gc-669	23	25	the	the	DET
gc-669	23	26	southern	southern	ADJ
gc-669	23	27	part	part	NOUN
gc-669	23	28	of	of	ADP
gc-669	23	29	hungary	hungary	PROPN
gc-669	23	30	,	,	PUNCT
gc-669	23	31	in	in	ADP
gc-669	23	32	the	the	DET
gc-669	23	33	szekszárd	szekszárd	PROPN
gc-669	23	34	hills	hill	NOUN
gc-669	23	35	,	,	PUNCT
gc-669	23	36	near	near	ADP
gc-669	23	37	the	the	DET
gc-669	23	38	village	village	NOUN
gc-669	23	39	of	of	ADP
gc-669	23	40	szálka	szálka	PROPN
gc-669	23	41	(	(	PUNCT
gc-669	23	42	fig	fig	NOUN
gc-669	23	43	.	.	PUNCT
gc-669	24	1	1	1	NUM
gc-669	24	2	)	)	PUNCT
gc-669	24	3	.	.	PUNCT
gc-669	25	1	the	the	DET
gc-669	25	2	area	area	NOUN
gc-669	25	3	of	of	ADP
gc-669	25	4	interest	interest	NOUN
gc-669	25	5	is	be	AUX
gc-669	25	6	covered	cover	VERB
gc-669	25	7	by	by	ADP
gc-669	25	8	loess	loess	NOUN
gc-669	25	9	-	-	PUNCT
gc-669	25	10	like	like	ADJ
gc-669	25	11	sediments	sediment	NOUN
gc-669	25	12	(	(	PUNCT
gc-669	25	13	dövényi	dövényi	PROPN
gc-669	25	14	,	,	PUNCT
gc-669	25	15	2010	2010	NUM
gc-669	25	16	)	)	PUNCT
gc-669	25	17	.	.	PUNCT
gc-669	26	1	the	the	DET
gc-669	26	2	annual	annual	ADJ
gc-669	26	3	precipitation	precipitation	NOUN
gc-669	26	4	is	be	AUX
gc-669	26	5	650	650	NUM
gc-669	26	6	mm	mm	NOUN
gc-669	26	7	in	in	ADP
gc-669	26	8	the	the	DET
gc-669	26	9	study	study	NOUN
gc-669	26	10	site	site	NOUN
gc-669	26	11	.	.	PUNCT
gc-669	27	1	the	the	DET
gc-669	27	2	original	original	ADJ
gc-669	27	3	soil	soil	NOUN
gc-669	27	4	types	type	NOUN
gc-669	27	5	are	be	AUX
gc-669	27	6	cambisols	cambisol	NOUN
gc-669	27	7	and	and	CCONJ
gc-669	27	8	luvisols	luvisol	NOUN
gc-669	27	9	with	with	ADP
gc-669	27	10	a	a	DET
gc-669	27	11	loamy	loamy	ADJ
gc-669	27	12	soil	soil	NOUN
gc-669	27	13	texture	texture	NOUN
gc-669	27	14	,	,	PUNCT
gc-669	27	15	but	but	CCONJ
gc-669	27	16	there	there	PRON
gc-669	27	17	are	be	VERB
gc-669	27	18	several	several	ADJ
gc-669	27	19	eroded	eroded	ADJ
gc-669	27	20	types	type	NOUN
gc-669	27	21	of	of	ADP
gc-669	27	22	them	they	PRON
gc-669	27	23	because	because	SCONJ
gc-669	27	24	of	of	ADP
gc-669	27	25	the	the	DET
gc-669	27	26	high	high	ADJ
gc-669	27	27	relief	relief	NOUN
gc-669	27	28	and	and	CCONJ
gc-669	27	29	the	the	DET
gc-669	27	30	longterm	longterm	ADJ
gc-669	27	31	agricultural	agricultural	ADJ
gc-669	27	32	land	land	NOUN
gc-669	27	33	use	use	NOUN
gc-669	27	34	.	.	PUNCT
gc-669	28	1	even	even	ADV
gc-669	28	2	regosols	regosol	NOUN
gc-669	28	3	can	can	AUX
gc-669	28	4	be	be	AUX
gc-669	28	5	observed	observe	VERB
gc-669	28	6	in	in	ADP
gc-669	28	7	small	small	ADJ
gc-669	28	8	areas	area	NOUN
gc-669	28	9	.	.	PUNCT
gc-669	29	1	however	however	ADV
gc-669	29	2	,	,	PUNCT
gc-669	29	3	the	the	DET
gc-669	29	4	eroded	eroded	ADJ
gc-669	29	5	soil	soil	NOUN
gc-669	29	6	material	material	NOUN
gc-669	29	7	forms	form	VERB
gc-669	29	8	fluvisols	fluvisol	NOUN
gc-669	29	9	on	on	ADP
gc-669	29	10	the	the	DET
gc-669	29	11	valley	valley	NOUN
gc-669	29	12	bottoms	bottom	NOUN
gc-669	29	13	.	.	PUNCT
gc-669	30	1	land	land	NOUN
gc-669	30	2	use	use	VERB
gc-669	30	3	more	more	ADV
gc-669	30	4	or	or	CCONJ
gc-669	30	5	less	less	ADV
gc-669	30	6	conforms	conform	NOUN
gc-669	30	7	to	to	ADP
gc-669	30	8	the	the	DET
gc-669	30	9	relief	relief	NOUN
gc-669	30	10	conditions	condition	NOUN
gc-669	30	11	:	:	PUNCT
gc-669	30	12	approximately	approximately	ADV
gc-669	30	13	50	50	NUM
gc-669	30	14	%	%	NOUN
gc-669	30	15	of	of	ADP
gc-669	30	16	the	the	DET
gc-669	30	17	area	area	NOUN
gc-669	30	18	(	(	PUNCT
gc-669	30	19	65.2	65.2	NUM
gc-669	30	20	hectares	hectare	NOUN
gc-669	30	21	)	)	PUNCT
gc-669	30	22	is	be	AUX
gc-669	30	23	used	use	VERB
gc-669	30	24	as	as	ADP
gc-669	30	25	arable	arable	ADJ
gc-669	30	26	land	land	NOUN
gc-669	30	27	(	(	PUNCT
gc-669	30	28	see	see	VERB
gc-669	30	29	fig	fig	NOUN
gc-669	30	30	.	.	PUNCT
gc-669	31	1	1	1	NUM
gc-669	31	2	)	)	PUNCT
gc-669	31	3	,	,	PUNCT
gc-669	31	4	but	but	CCONJ
gc-669	31	5	the	the	DET
gc-669	31	6	steeper	steep	ADJ
gc-669	31	7	slopes	slope	NOUN
gc-669	31	8	are	be	AUX
gc-669	31	9	covered	cover	VERB
gc-669	31	10	by	by	ADP
gc-669	31	11	meadows	meadow	NOUN
gc-669	31	12	and	and	CCONJ
gc-669	31	13	forests	forest	NOUN
gc-669	31	14	.	.	PUNCT
gc-669	32	1	these	these	DET
gc-669	32	2	latter	latter	ADJ
gc-669	32	3	ones	one	NOUN
gc-669	32	4	mean	mean	VERB
gc-669	32	5	mainly	mainly	ADV
gc-669	32	6	acacia	acacia	NOUN
gc-669	32	7	but	but	CCONJ
gc-669	32	8	we	we	PRON
gc-669	32	9	can	can	AUX
gc-669	32	10	see	see	VERB
gc-669	32	11	oak	oak	NOUN
gc-669	32	12	forests	forest	NOUN
gc-669	32	13	on	on	ADP
gc-669	32	14	the	the	DET
gc-669	32	15	northern	northern	ADJ
gc-669	32	16	part	part	NOUN
gc-669	32	17	of	of	ADP
gc-669	32	18	the	the	DET
gc-669	32	19	sub	sub	NOUN
gc-669	32	20	-	-	NOUN
gc-669	32	21	catchment	catchment	NOUN
gc-669	32	22	.	.	PUNCT
gc-669	33	1	there	there	PRON
gc-669	33	2	are	be	VERB
gc-669	33	3	new	new	ADJ
gc-669	33	4	vineyards	vineyard	NOUN
gc-669	33	5	on	on	ADP
gc-669	33	6	the	the	DET
gc-669	33	7	southeastern	southeastern	ADJ
gc-669	33	8	parts	part	NOUN
gc-669	33	9	(	(	PUNCT
gc-669	33	10	see	see	VERB
gc-669	33	11	fig	fig	NOUN
gc-669	33	12	.	.	PUNCT
gc-669	34	1	1	1	NUM
gc-669	34	2	)	)	PUNCT
gc-669	34	3	.	.	PUNCT
gc-669	35	1	3	3	X
gc-669	35	2	.	.	X
gc-669	35	3	materials	material	NOUN
gc-669	35	4	and	and	CCONJ
gc-669	35	5	methods	method	NOUN
gc-669	35	6	3.1	3.1	NUM
gc-669	35	7	.	.	PUNCT
gc-669	36	1	sampling	sample	VERB
gc-669	36	2	,	,	PUNCT
gc-669	36	3	laboratory	laboratory	NOUN
gc-669	36	4	measurements	measurement	NOUN
gc-669	36	5	and	and	CCONJ
gc-669	36	6	preliminary	preliminary	ADJ
gc-669	36	7	data	datum	NOUN
gc-669	36	8	analysis	analysis	NOUN
gc-669	36	9	former	former	ADJ
gc-669	36	10	soil	soil	NOUN
gc-669	36	11	(	(	PUNCT
gc-669	36	12	water	water	NOUN
gc-669	36	13	)	)	PUNCT
gc-669	36	14	erosion	erosion	NOUN
gc-669	36	15	research	research	NOUN
gc-669	36	16	has	have	AUX
gc-669	36	17	resulted	result	VERB
gc-669	36	18	in	in	ADP
gc-669	36	19	a	a	DET
gc-669	36	20	particular	particular	ADJ
gc-669	36	21	pattern	pattern	NOUN
gc-669	36	22	of	of	ADP
gc-669	36	23	topsoil	topsoil	NOUN
gc-669	36	24	(	(	PUNCT
gc-669	36	25	0	0	NUM
gc-669	36	26	-	-	SYM
gc-669	36	27	10	10	NUM
gc-669	36	28	cm	cm	NOUN
gc-669	36	29	depth	depth	NOUN
gc-669	36	30	)	)	PUNCT
gc-669	36	31	sampling	sampling	NOUN
gc-669	36	32	and	and	CCONJ
gc-669	36	33	laboratory	laboratory	NOUN
gc-669	36	34	analyses	analysis	NOUN
gc-669	36	35	including	include	VERB
gc-669	36	36	som	som	NOUN
gc-669	36	37	.	.	PUNCT
gc-669	37	1	the	the	DET
gc-669	37	2	database	database	NOUN
gc-669	37	3	contains	contain	VERB
gc-669	37	4	47	47	NUM
gc-669	37	5	records	record	NOUN
gc-669	37	6	on	on	ADP
gc-669	37	7	som	som	PROPN
gc-669	37	8	content	content	NOUN
gc-669	37	9	originating	originate	VERB
gc-669	37	10	from	from	ADP
gc-669	37	11	2	2	NUM
gc-669	37	12	soil	soil	NOUN
gc-669	37	13	profiles	profile	NOUN
gc-669	37	14	and	and	CCONJ
gc-669	37	15	45	45	NUM
gc-669	37	16	boreholes	borehole	NOUN
gc-669	37	17	(	(	PUNCT
gc-669	37	18	fig	fig	NOUN
gc-669	37	19	.	.	NOUN
gc-669	37	20	1	1	NUM
gc-669	37	21	)	)	PUNCT
gc-669	37	22	,	,	PUNCT
gc-669	37	23	sampled	sample	VERB
gc-669	37	24	in	in	ADP
gc-669	37	25	2008	2008	NUM
gc-669	37	26	-	-	SYM
gc-669	37	27	2009	2009	NUM
gc-669	37	28	.	.	PUNCT
gc-669	38	1	tistics	tistic	NOUN
gc-669	38	2	specialized	specialize	VERB
gc-669	38	3	in	in	ADP
gc-669	38	4	analysis	analysis	NOUN
gc-669	38	5	and	and	CCONJ
gc-669	38	6	interpretation	interpretation	NOUN
gc-669	38	7	of	of	ADP
gc-669	38	8	geographically	geographically	ADV
gc-669	38	9	referenced	reference	VERB
gc-669	38	10	data	datum	NOUN
gc-669	38	11	(	(	PUNCT
gc-669	38	12	goovaerts	goovaert	NOUN
gc-669	38	13	,	,	PUNCT
gc-669	38	14	1997	1997	NUM
gc-669	38	15	)	)	PUNCT
gc-669	38	16	,	,	PUNCT
gc-669	38	17	provide	provide	VERB
gc-669	38	18	a	a	DET
gc-669	38	19	huge	huge	ADJ
gc-669	38	20	amount	amount	NOUN
gc-669	38	21	of	of	ADP
gc-669	38	22	tools	tool	NOUN
gc-669	38	23	to	to	PART
gc-669	38	24	support	support	VERB
gc-669	38	25	these	these	DET
gc-669	38	26	decisions	decision	NOUN
gc-669	38	27	(	(	PUNCT
gc-669	38	28	webster	webster	PROPN
gc-669	38	29	&	&	CCONJ
gc-669	38	30	oliver	oliver	PROPN
gc-669	38	31	,	,	PUNCT
gc-669	38	32	2007	2007	NUM
gc-669	38	33	)	)	PUNCT
gc-669	38	34	.	.	PUNCT
gc-669	39	1	a	a	DET
gc-669	39	2	majority	majority	NOUN
gc-669	39	3	of	of	ADP
gc-669	39	4	geographically	geographically	ADV
gc-669	39	5	referenced	reference	VERB
gc-669	39	6	data	datum	NOUN
gc-669	39	7	(	(	PUNCT
gc-669	39	8	e.g.	e.g.	ADV
gc-669	39	9	soil	soil	NOUN
gc-669	39	10	attributes	attribute	NOUN
gc-669	39	11	)	)	PUNCT
gc-669	39	12	is	be	AUX
gc-669	39	13	related	relate	VERB
gc-669	39	14	to	to	PART
gc-669	39	15	discrete	discrete	VERB
gc-669	39	16	(	(	PUNCT
gc-669	39	17	sampling	sample	VERB
gc-669	39	18	)	)	PUNCT
gc-669	39	19	points	point	NOUN
gc-669	39	20	in	in	ADP
gc-669	39	21	the	the	DET
gc-669	39	22	geographic	geographic	ADJ
gc-669	39	23	space	space	NOUN
gc-669	39	24	,	,	PUNCT
gc-669	39	25	which	which	PRON
gc-669	39	26	means	mean	VERB
gc-669	39	27	that	that	SCONJ
gc-669	39	28	we	we	PRON
gc-669	39	29	do	do	AUX
gc-669	39	30	not	not	PART
gc-669	39	31	have	have	VERB
gc-669	39	32	any	any	DET
gc-669	39	33	information	information	NOUN
gc-669	39	34	about	about	ADP
gc-669	39	35	these	these	DET
gc-669	39	36	variables	variable	NOUN
gc-669	39	37	at	at	ADP
gc-669	39	38	the	the	DET
gc-669	39	39	unvisited	unvisited	ADJ
gc-669	39	40	locations	location	NOUN
gc-669	39	41	.	.	PUNCT
gc-669	40	1	however	however	ADV
gc-669	40	2	,	,	PUNCT
gc-669	40	3	an	an	DET
gc-669	40	4	increasing	increase	VERB
gc-669	40	5	amount	amount	NOUN
gc-669	40	6	of	of	ADP
gc-669	40	7	spatially	spatially	ADV
gc-669	40	8	exhaustive	exhaustive	ADJ
gc-669	40	9	secondary	secondary	ADJ
gc-669	40	10	information	information	NOUN
gc-669	40	11	(	(	PUNCT
gc-669	40	12	e.g.	e.g.	ADV
gc-669	40	13	digital	digital	ADJ
gc-669	40	14	elevation	elevation	NOUN
gc-669	40	15	models	model	NOUN
gc-669	40	16	,	,	PUNCT
gc-669	40	17	satellite	satellite	NOUN
gc-669	40	18	images	image	NOUN
gc-669	40	19	,	,	PUNCT
gc-669	40	20	geological	geological	ADJ
gc-669	40	21	maps	map	NOUN
gc-669	40	22	and	and	CCONJ
gc-669	40	23	land	land	NOUN
gc-669	40	24	cover	cover	NOUN
gc-669	40	25	maps	map	NOUN
gc-669	40	26	)	)	PUNCT
gc-669	40	27	is	be	AUX
gc-669	40	28	available	available	ADJ
gc-669	40	29	today	today	NOUN
gc-669	40	30	with	with	ADP
gc-669	40	31	increasing	increase	VERB
gc-669	40	32	spatial	spatial	ADJ
gc-669	40	33	and	and	CCONJ
gc-669	40	34	temporal	temporal	ADJ
gc-669	40	35	resolution	resolution	NOUN
gc-669	40	36	,	,	PUNCT
gc-669	40	37	which	which	PRON
gc-669	40	38	can	can	AUX
gc-669	40	39	be	be	AUX
gc-669	40	40	used	use	VERB
gc-669	40	41	in	in	ADP
gc-669	40	42	combination	combination	NOUN
gc-669	40	43	with	with	ADP
gc-669	40	44	geostatistical	geostatistical	ADJ
gc-669	40	45	tools	tool	NOUN
gc-669	40	46	to	to	PART
gc-669	40	47	satisfy	satisfy	VERB
gc-669	40	48	certain	certain	ADJ
gc-669	40	49	requirements	requirement	NOUN
gc-669	40	50	(	(	PUNCT
gc-669	40	51	e.g.	e.g.	ADV
gc-669	40	52	intrinsic	intrinsic	ADJ
gc-669	40	53	hypothesis	hypothesis	NOUN
gc-669	40	54	,	,	PUNCT
gc-669	40	55	second	second	ADJ
gc-669	40	56	-	-	PUNCT
gc-669	40	57	order	order	NOUN
gc-669	40	58	or	or	CCONJ
gc-669	40	59	weak	weak	ADJ
gc-669	40	60	stationarity	stationarity	NOUN
gc-669	40	61	)	)	PUNCT
gc-669	40	62	,	,	PUNCT
gc-669	40	63	and	and	CCONJ
gc-669	40	64	to	to	PART
gc-669	40	65	improve	improve	VERB
gc-669	40	66	the	the	DET
gc-669	40	67	estimation	estimation	NOUN
gc-669	40	68	or	or	CCONJ
gc-669	40	69	simulation	simulation	NOUN
gc-669	40	70	models	model	NOUN
gc-669	40	71	(	(	PUNCT
gc-669	40	72	minasny	minasny	NOUN
gc-669	40	73	&	&	CCONJ
gc-669	40	74	mcbratney	mcbratney	NOUN
gc-669	40	75	,	,	PUNCT
gc-669	40	76	2007	2007	NUM
gc-669	40	77	)	)	PUNCT
gc-669	40	78	.	.	PUNCT
gc-669	41	1	regression	regression	NOUN
gc-669	41	2	kriging	krige	VERB
gc-669	41	3	(	(	PUNCT
gc-669	41	4	rk	rk	PRON
gc-669	41	5	)	)	PUNCT
gc-669	41	6	is	be	AUX
gc-669	41	7	a	a	DET
gc-669	41	8	representative	representative	NOUN
gc-669	41	9	and	and	CCONJ
gc-669	41	10	widely	widely	ADV
gc-669	41	11	used	use	VERB
gc-669	41	12	technique	technique	NOUN
gc-669	41	13	,	,	PUNCT
gc-669	41	14	which	which	PRON
gc-669	41	15	combines	combine	VERB
gc-669	41	16	the	the	DET
gc-669	41	17	regression	regression	NOUN
gc-669	41	18	of	of	ADP
gc-669	41	19	the	the	DET
gc-669	41	20	target	target	NOUN
gc-669	41	21	variable	variable	NOUN
gc-669	41	22	on	on	ADP
gc-669	41	23	spatially	spatially	ADV
gc-669	41	24	exhaustive	exhaustive	ADJ
gc-669	41	25	secondary	secondary	ADJ
gc-669	41	26	information	information	NOUN
gc-669	41	27	with	with	ADP
gc-669	41	28	simple	simple	ADJ
gc-669	41	29	kriging	kriging	NOUN
gc-669	41	30	of	of	ADP
gc-669	41	31	the	the	DET
gc-669	41	32	regression	regression	NOUN
gc-669	41	33	residuals	residual	NOUN
gc-669	41	34	to	to	PART
gc-669	41	35	estimate	estimate	VERB
gc-669	41	36	the	the	DET
gc-669	41	37	value	value	NOUN
gc-669	41	38	of	of	ADP
gc-669	41	39	the	the	DET
gc-669	41	40	target	target	NOUN
gc-669	41	41	variable	variable	NOUN
gc-669	41	42	at	at	ADP
gc-669	41	43	an	an	DET
gc-669	41	44	unvisited	unvisited	ADJ
gc-669	41	45	location	location	NOUN
gc-669	41	46	(	(	PUNCT
gc-669	41	47	hengl	hengl	PROPN
gc-669	41	48	et	et	PROPN
gc-669	41	49	al	al	PROPN
gc-669	41	50	.	.	PROPN
gc-669	41	51	,	,	PUNCT
gc-669	41	52	2004	2004	NUM
gc-669	41	53	)	)	PUNCT
gc-669	41	54	.	.	PUNCT
gc-669	42	1	rk	rk	NOUN
gc-669	42	2	has	have	VERB
gc-669	42	3	several	several	ADJ
gc-669	42	4	advantages	advantage	NOUN
gc-669	42	5	in	in	ADP
gc-669	42	6	contrast	contrast	NOUN
gc-669	42	7	to	to	ADP
gc-669	42	8	other	other	ADJ
gc-669	42	9	kriging	krige	VERB
gc-669	42	10	methods	method	NOUN
gc-669	42	11	,	,	PUNCT
gc-669	42	12	e.g.	e.g.	ADV
gc-669	42	13	it	it	PRON
gc-669	42	14	can	can	AUX
gc-669	42	15	take	take	VERB
gc-669	42	16	spatially	spatially	ADV
gc-669	42	17	exhaustive	exhaustive	ADJ
gc-669	42	18	secondary	secondary	ADJ
gc-669	42	19	information	information	NOUN
gc-669	42	20	into	into	ADP
gc-669	42	21	account	account	NOUN
gc-669	42	22	in	in	ADP
gc-669	42	23	the	the	DET
gc-669	42	24	estimation	estimation	NOUN
gc-669	42	25	process	process	NOUN
gc-669	42	26	,	,	PUNCT
gc-669	42	27	it	it	PRON
gc-669	42	28	can	can	AUX
gc-669	42	29	handle	handle	VERB
gc-669	42	30	the	the	DET
gc-669	42	31	trend	trend	NOUN
gc-669	42	32	(	(	PUNCT
gc-669	42	33	or	or	CCONJ
gc-669	42	34	drift	drift	NOUN
gc-669	42	35	)	)	PUNCT
gc-669	42	36	,	,	PUNCT
gc-669	42	37	where	where	SCONJ
gc-669	42	38	the	the	DET
gc-669	42	39	trend	trend	NOUN
gc-669	42	40	term	term	NOUN
gc-669	42	41	means	mean	VERB
gc-669	42	42	that	that	SCONJ
gc-669	42	43	the	the	DET
gc-669	42	44	local	local	ADJ
gc-669	42	45	mean	mean	NOUN
gc-669	42	46	systematically	systematically	ADV
gc-669	42	47	varies	vary	VERB
gc-669	42	48	from	from	ADP
gc-669	42	49	place	place	NOUN
gc-669	42	50	to	to	ADP
gc-669	42	51	place	place	NOUN
gc-669	42	52	.	.	PUNCT
gc-669	43	1	furthermore	furthermore	ADV
gc-669	43	2	,	,	PUNCT
gc-669	43	3	rk	rk	NOUN
gc-669	43	4	is	be	AUX
gc-669	43	5	more	more	ADV
gc-669	43	6	flexible	flexible	ADJ
gc-669	43	7	than	than	ADP
gc-669	43	8	kriging	krige	VERB
gc-669	43	9	with	with	ADP
gc-669	43	10	external	external	ADJ
gc-669	43	11	drift	drift	NOUN
gc-669	43	12	or	or	CCONJ
gc-669	43	13	cokriging	cokriging	NOUN
gc-669	43	14	methods	method	NOUN
gc-669	43	15	(	(	PUNCT
gc-669	43	16	simbahan	simbahan	PROPN
gc-669	43	17	et	et	PROPN
gc-669	43	18	al	al	PROPN
gc-669	43	19	.	.	PROPN
gc-669	43	20	,	,	PUNCT
gc-669	43	21	2006	2006	NUM
gc-669	43	22	;	;	PUNCT
gc-669	43	23	eldeiry	eldeiry	NOUN
gc-669	43	24	&	&	CCONJ
gc-669	43	25	garcia	garcia	PROPN
gc-669	43	26	,	,	PUNCT
gc-669	43	27	2010	2010	NUM
gc-669	43	28	;	;	PUNCT
gc-669	43	29	hengl	hengl	PROPN
gc-669	43	30	et	et	PROPN
gc-669	43	31	al	al	PROPN
gc-669	43	32	.	.	PROPN
gc-669	43	33	,	,	PUNCT
gc-669	43	34	2003	2003	NUM
gc-669	43	35	)	)	PUNCT
gc-669	43	36	,	,	PUNCT
gc-669	43	37	which	which	PRON
gc-669	43	38	also	also	ADV
gc-669	43	39	can	can	AUX
gc-669	43	40	take	take	VERB
gc-669	43	41	secondary	secondary	ADJ
gc-669	43	42	information	information	NOUN
gc-669	43	43	into	into	ADP
gc-669	43	44	account	account	NOUN
gc-669	43	45	in	in	ADP
gc-669	43	46	the	the	DET
gc-669	43	47	estimation	estimation	NOUN
gc-669	43	48	process	process	NOUN
gc-669	43	49	.	.	PUNCT
gc-669	44	1	one	one	NUM
gc-669	44	2	of	of	ADP
gc-669	44	3	the	the	DET
gc-669	44	4	main	main	ADJ
gc-669	44	5	drawbacks	drawback	NOUN
gc-669	44	6	of	of	ADP
gc-669	44	7	rk	rk	NOUN
gc-669	44	8	is	be	AUX
gc-669	44	9	that	that	SCONJ
gc-669	44	10	it	it	PRON
gc-669	44	11	is	be	AUX
gc-669	44	12	unable	unable	ADJ
gc-669	44	13	to	to	PART
gc-669	44	14	model	model	VERB
gc-669	44	15	the	the	DET
gc-669	44	16	spatial	spatial	ADJ
gc-669	44	17	uncertainty	uncertainty	NOUN
gc-669	44	18	or	or	CCONJ
gc-669	44	19	to	to	PART
gc-669	44	20	provide	provide	VERB
gc-669	44	21	,	,	PUNCT
gc-669	44	22	for	for	ADP
gc-669	44	23	example	example	NOUN
gc-669	44	24	,	,	PUNCT
gc-669	44	25	the	the	DET
gc-669	44	26	95	95	NUM
gc-669	44	27	%	%	NOUN
gc-669	44	28	confidence	confidence	NOUN
gc-669	44	29	interval	interval	NOUN
gc-669	44	30	for	for	ADP
gc-669	44	31	the	the	DET
gc-669	44	32	estimates	estimate	NOUN
gc-669	44	33	.	.	PUNCT
gc-669	45	1	according	accord	VERB
gc-669	45	2	to	to	ADP
gc-669	45	3	goovaerts	goovaerts	PROPN
gc-669	45	4	(	(	PUNCT
gc-669	45	5	1997	1997	NUM
gc-669	45	6	)	)	PUNCT
gc-669	45	7	,	,	PUNCT
gc-669	45	8	if	if	SCONJ
gc-669	45	9	the	the	DET
gc-669	45	10	intrinsic	intrinsic	ADJ
gc-669	45	11	hypothesis	hypothesis	NOUN
gc-669	45	12	holds	hold	VERB
gc-669	45	13	,	,	PUNCT
gc-669	45	14	the	the	DET
gc-669	45	15	kriging	krige	VERB
gc-669	45	16	variance	variance	NOUN
gc-669	45	17	could	could	AUX
gc-669	45	18	be	be	AUX
gc-669	45	19	used	use	VERB
gc-669	45	20	to	to	PART
gc-669	45	21	derive	derive	VERB
gc-669	45	22	the	the	DET
gc-669	45	23	95	95	NUM
gc-669	45	24	%	%	NOUN
gc-669	45	25	confidence	confidence	NOUN
gc-669	45	26	interval	interval	NOUN
gc-669	45	27	for	for	ADP
gc-669	45	28	the	the	DET
gc-669	45	29	estimates	estimate	NOUN
gc-669	45	30	.	.	PUNCT
gc-669	46	1	unfortunately	unfortunately	ADV
gc-669	46	2	,	,	PUNCT
gc-669	46	3	the	the	DET
gc-669	46	4	intrinsic	intrinsic	ADJ
gc-669	46	5	hypothesis	hypothesis	NOUN
gc-669	46	6	is	be	AUX
gc-669	46	7	not	not	PART
gc-669	46	8	reasonable	reasonable	ADJ
gc-669	46	9	to	to	PART
gc-669	46	10	hold	hold	VERB
gc-669	46	11	in	in	ADP
gc-669	46	12	many	many	ADJ
gc-669	46	13	cases	case	NOUN
gc-669	46	14	(	(	PUNCT
gc-669	46	15	there	there	PRON
gc-669	46	16	is	be	VERB
gc-669	46	17	a	a	DET
gc-669	46	18	trend	trend	NOUN
gc-669	46	19	,	,	PUNCT
gc-669	46	20	which	which	PRON
gc-669	46	21	makes	make	VERB
gc-669	46	22	it	it	PRON
gc-669	46	23	unacceptable	unacceptable	ADJ
gc-669	46	24	)	)	PUNCT
gc-669	46	25	.	.	PUNCT
gc-669	47	1	the	the	DET
gc-669	47	2	main	main	ADJ
gc-669	47	3	reason	reason	NOUN
gc-669	47	4	why	why	SCONJ
gc-669	47	5	rk	rk	PRON
gc-669	47	6	is	be	AUX
gc-669	47	7	widely	widely	ADV
gc-669	47	8	used	use	VERB
gc-669	47	9	for	for	ADP
gc-669	47	10	spatial	spatial	ADJ
gc-669	47	11	modeling	modeling	NOUN
gc-669	47	12	is	be	AUX
gc-669	47	13	that	that	SCONJ
gc-669	47	14	it	it	PRON
gc-669	47	15	can	can	AUX
gc-669	47	16	handle	handle	VERB
gc-669	47	17	the	the	DET
gc-669	47	18	trend	trend	NOUN
gc-669	47	19	(	(	PUNCT
gc-669	47	20	szatmári	szatmári	PROPN
gc-669	47	21	&	&	CCONJ
gc-669	47	22	barta	barta	PROPN
gc-669	47	23	,	,	PUNCT
gc-669	47	24	2013	2013	NUM
gc-669	47	25	)	)	PUNCT
gc-669	47	26	.	.	PUNCT
gc-669	48	1	during	during	ADP
gc-669	48	2	past	past	ADJ
gc-669	48	3	decades	decade	NOUN
gc-669	48	4	,	,	PUNCT
gc-669	48	5	stochastic	stochastic	ADJ
gc-669	48	6	simulations	simulation	NOUN
gc-669	48	7	became	become	VERB
gc-669	48	8	widespread	widespread	ADJ
gc-669	48	9	in	in	ADP
gc-669	48	10	the	the	DET
gc-669	48	11	soiland	soiland	ADJ
gc-669	48	12	geosciences	geoscience	NOUN
gc-669	48	13	to	to	AUX
gc-669	48	14	model	model	NOUN
gc-669	48	15	and	and	CCONJ
gc-669	48	16	assess	assess	VERB
gc-669	48	17	the	the	DET
gc-669	48	18	spatial	spatial	ADJ
gc-669	48	19	variability	variability	NOUN
gc-669	48	20	and	and	CCONJ
gc-669	48	21	uncertainty	uncertainty	NOUN
gc-669	48	22	of	of	ADP
gc-669	48	23	the	the	DET
gc-669	48	24	target	target	NOUN
gc-669	48	25	variable(s	variable(s	NOUN
gc-669	48	26	)	)	PUNCT
gc-669	48	27	(	(	PUNCT
gc-669	48	28	goovaerts	goovaert	NOUN
gc-669	48	29	,	,	PUNCT
gc-669	48	30	1997	1997	NUM
gc-669	48	31	;	;	PUNCT
gc-669	48	32	deutsch	deutsch	PROPN
gc-669	48	33	&	&	CCONJ
gc-669	48	34	journel	journel	PROPN
gc-669	48	35	,	,	PUNCT
gc-669	48	36	1998	1998	NUM
gc-669	48	37	;	;	PUNCT
gc-669	48	38	geiger	geiger	PROPN
gc-669	48	39	,	,	PUNCT
gc-669	48	40	2006	2006	NUM
gc-669	48	41	;	;	PUNCT
gc-669	48	42	malvić	malvić	NOUN
gc-669	48	43	,	,	PUNCT
gc-669	48	44	2008	2008	NUM
gc-669	48	45	;	;	PUNCT
gc-669	48	46	novak	novak	PROPN
gc-669	48	47	zelenika	zelenika	PROPN
gc-669	48	48	&	&	CCONJ
gc-669	48	49	malvić	malvić	PROPN
gc-669	48	50	,	,	PUNCT
gc-669	48	51	2011	2011	NUM
gc-669	48	52	;	;	PUNCT
gc-669	48	53	geiger	geiger	NOUN
gc-669	48	54	,	,	PUNCT
gc-669	48	55	2012	2012	NUM
gc-669	48	56	;	;	PUNCT
gc-669	48	57	malvić	malvić	VERB
gc-669	48	58	et	et	PROPN
gc-669	48	59	al	al	PROPN
gc-669	48	60	.	.	PROPN
gc-669	48	61	,	,	PUNCT
gc-669	48	62	2012	2012	NUM
gc-669	48	63	;	;	PUNCT
gc-669	48	64	novak	novak	PROPN
gc-669	48	65	zelenika	zelenika	X
gc-669	48	66	et	et	PROPN
gc-669	48	67	al	al	PROPN
gc-669	48	68	.	.	PROPN
gc-669	48	69	,	,	PUNCT
gc-669	48	70	2012	2012	NUM
gc-669	48	71	)	)	PUNCT
gc-669	48	72	.	.	PUNCT
gc-669	49	1	as	as	SCONJ
gc-669	49	2	opposed	oppose	VERB
gc-669	49	3	to	to	ADP
gc-669	49	4	any	any	DET
gc-669	49	5	kind	kind	NOUN
gc-669	49	6	of	of	ADP
gc-669	49	7	kriging	krige	VERB
gc-669	49	8	techniques	technique	NOUN
gc-669	49	9	,	,	PUNCT
gc-669	49	10	the	the	DET
gc-669	49	11	main	main	ADJ
gc-669	49	12	aim	aim	NOUN
gc-669	49	13	of	of	ADP
gc-669	49	14	simulation	simulation	NOUN
gc-669	49	15	methods	method	NOUN
gc-669	49	16	is	be	AUX
gc-669	49	17	to	to	PART
gc-669	49	18	generate	generate	VERB
gc-669	49	19	alternative	alternative	ADJ
gc-669	49	20	and	and	CCONJ
gc-669	49	21	equally	equally	ADV
gc-669	49	22	probable	probable	ADJ
gc-669	49	23	realizations	realization	NOUN
gc-669	49	24	,	,	PUNCT
gc-669	49	25	which	which	PRON
gc-669	49	26	reproduce	reproduce	VERB
gc-669	49	27	the	the	DET
gc-669	49	28	model	model	NOUN
gc-669	49	29	statistics	statistic	NOUN
gc-669	49	30	(	(	PUNCT
gc-669	49	31	e.g.	e.g.	ADV
gc-669	49	32	histogram	histogram	NOUN
gc-669	49	33	and	and	CCONJ
gc-669	49	34	variogram	variogram	NOUN
gc-669	49	35	model	model	PROPN
gc-669	49	36	)	)	PUNCT
gc-669	49	37	,	,	PUNCT
gc-669	49	38	rather	rather	ADV
gc-669	49	39	than	than	SCONJ
gc-669	49	40	to	to	PART
gc-669	49	41	minimize	minimize	VERB
gc-669	49	42	the	the	DET
gc-669	49	43	local	local	ADJ
gc-669	49	44	error	error	NOUN
gc-669	49	45	variance	variance	NOUN
gc-669	49	46	var{z*(u	var{z*(u	PROPN
gc-669	49	47	)	)	PUNCT
gc-669	49	48	–	–	PUNCT
gc-669	49	49	z(u	z(u	PROPN
gc-669	49	50	)	)	PUNCT
gc-669	49	51	}	}	PUNCT
gc-669	49	52	.	.	PUNCT
gc-669	50	1	hence	hence	ADV
gc-669	50	2	,	,	PUNCT
gc-669	50	3	simulation	simulation	NOUN
gc-669	50	4	methods	method	NOUN
gc-669	50	5	model	model	VERB
gc-669	50	6	the	the	DET
gc-669	50	7	“	"	PUNCT
gc-669	50	8	reality	reality	NOUN
gc-669	50	9	”	"	PUNCT
gc-669	50	10	in	in	ADP
gc-669	50	11	a	a	DET
gc-669	50	12	certain	certain	ADJ
gc-669	50	13	global	global	ADJ
gc-669	50	14	(	(	PUNCT
gc-669	50	15	and	and	CCONJ
gc-669	50	16	not	not	PART
gc-669	50	17	local	local	ADJ
gc-669	50	18	!	!	PUNCT
gc-669	50	19	)	)	PUNCT
gc-669	51	1	sense	sense	NOUN
gc-669	51	2	,	,	PUNCT
gc-669	51	3	which	which	PRON
gc-669	51	4	give	give	VERB
gc-669	51	5	an	an	DET
gc-669	51	6	opportunity	opportunity	NOUN
gc-669	51	7	to	to	PART
gc-669	51	8	model	model	VERB
gc-669	51	9	the	the	DET
gc-669	51	10	spatial	spatial	ADJ
gc-669	51	11	uncertainty	uncertainty	NOUN
gc-669	51	12	(	(	PUNCT
gc-669	51	13	goovaerts	goovaert	NOUN
gc-669	51	14	,	,	PUNCT
gc-669	51	15	1997	1997	NUM
gc-669	51	16	;	;	PUNCT
gc-669	51	17	deutsch	deutsch	PROPN
gc-669	51	18	&	&	CCONJ
gc-669	51	19	journel	journel	PROPN
gc-669	51	20	,	,	PUNCT
gc-669	51	21	1998	1998	NUM
gc-669	51	22	;	;	PUNCT
gc-669	51	23	geiger	geiger	PROPN
gc-669	51	24	,	,	PUNCT
gc-669	51	25	2006	2006	NUM
gc-669	51	26	;	;	PUNCT
gc-669	51	27	malvić	malvić	NOUN
gc-669	51	28	,	,	PUNCT
gc-669	51	29	2008	2008	NUM
gc-669	51	30	)	)	PUNCT
gc-669	51	31	.	.	PUNCT
gc-669	52	1	based	base	VERB
gc-669	52	2	on	on	ADP
gc-669	52	3	this	this	PRON
gc-669	52	4	,	,	PUNCT
gc-669	52	5	we	we	PRON
gc-669	52	6	can	can	AUX
gc-669	52	7	classify	classify	VERB
gc-669	52	8	the	the	DET
gc-669	52	9	geostatistical	geostatistical	ADJ
gc-669	52	10	techniques	technique	NOUN
gc-669	52	11	into	into	ADP
gc-669	52	12	two	two	NUM
gc-669	52	13	classes	class	NOUN
gc-669	52	14	:	:	PUNCT
gc-669	52	15	estimation	estimation	NOUN
gc-669	52	16	and	and	CCONJ
gc-669	52	17	simulation	simulation	NOUN
gc-669	52	18	methods	method	NOUN
gc-669	52	19	.	.	PUNCT
gc-669	53	1	malvić	malvić	NOUN
gc-669	53	2	(	(	PUNCT
gc-669	53	3	2008	2008	NUM
gc-669	53	4	)	)	PUNCT
gc-669	53	5	also	also	ADV
gc-669	53	6	used	use	VERB
gc-669	53	7	this	this	DET
gc-669	53	8	classiszatmári	classiszatmári	NOUN
gc-669	53	9	et	et	PROPN
gc-669	53	10	al	al	PROPN
gc-669	53	11	.	.	PUNCT
gc-669	53	12	:	:	PUNCT
gc-669	54	1	testing	test	VERB
gc-669	54	2	a	a	DET
gc-669	54	3	sequential	sequential	ADJ
gc-669	54	4	stochastic	stochastic	ADJ
gc-669	54	5	simulation	simulation	NOUN
gc-669	54	6	method	method	NOUN
gc-669	54	7	based	base	VERB
gc-669	54	8	on	on	ADP
gc-669	54	9	regression	regression	NOUN
gc-669	54	10	kriging	krige	VERB
gc-669	54	11	in	in	ADP
gc-669	54	12	a	a	DET
gc-669	54	13	catchment	catchment	NOUN
gc-669	54	14	area	area	NOUN
gc-669	54	15	in	in	ADP
gc-669	54	16	southern	southern	ADJ
gc-669	54	17	hungary	hungary	PROPN
gc-669	54	18	geologia	geologia	PROPN
gc-669	54	19	croatica	croatica	PROPN
gc-669	54	20	275	275	NUM
gc-669	54	21	the	the	DET
gc-669	54	22	topsoil	topsoil	NOUN
gc-669	54	23	sampling	sample	VERB
gc-669	54	24	design	design	NOUN
gc-669	54	25	was	be	AUX
gc-669	54	26	planned	plan	VERB
gc-669	54	27	for	for	ADP
gc-669	54	28	modelling	model	VERB
gc-669	54	29	the	the	DET
gc-669	54	30	soil	soil	NOUN
gc-669	54	31	erosion	erosion	NOUN
gc-669	54	32	process	process	NOUN
gc-669	54	33	(	(	PUNCT
gc-669	54	34	borcsik	borcsik	PROPN
gc-669	54	35	et	et	PROPN
gc-669	54	36	al	al	PROPN
gc-669	54	37	.	.	PROPN
gc-669	54	38	,	,	PUNCT
gc-669	54	39	2011	2011	NUM
gc-669	54	40	)	)	PUNCT
gc-669	54	41	.	.	PUNCT
gc-669	55	1	a	a	DET
gc-669	55	2	stratified	stratified	ADJ
gc-669	55	3	sampling	sampling	NOUN
gc-669	55	4	strategy	strategy	NOUN
gc-669	55	5	(	(	PUNCT
gc-669	55	6	supported	support	VERB
gc-669	55	7	with	with	ADP
gc-669	55	8	geostatistical	geostatistical	ADJ
gc-669	55	9	considerations	consideration	NOUN
gc-669	55	10	)	)	PUNCT
gc-669	55	11	was	be	AUX
gc-669	55	12	used	use	VERB
gc-669	55	13	for	for	ADP
gc-669	55	14	this	this	DET
gc-669	55	15	purpose	purpose	NOUN
gc-669	55	16	to	to	PART
gc-669	55	17	determine	determine	VERB
gc-669	55	18	the	the	DET
gc-669	55	19	spatial	spatial	ADJ
gc-669	55	20	variability	variability	NOUN
gc-669	55	21	of	of	ADP
gc-669	55	22	the	the	DET
gc-669	55	23	eroded	erode	VERB
gc-669	55	24	and	and	CCONJ
gc-669	55	25	accumulated	accumulate	VERB
gc-669	55	26	soil	soil	NOUN
gc-669	55	27	patterns	pattern	NOUN
gc-669	55	28	.	.	PUNCT
gc-669	56	1	the	the	DET
gc-669	56	2	land	land	NOUN
gc-669	56	3	cover	cover	NOUN
gc-669	56	4	(	(	PUNCT
gc-669	56	5	lc	lc	NOUN
gc-669	56	6	)	)	PUNCT
gc-669	56	7	map	map	NOUN
gc-669	56	8	and	and	CCONJ
gc-669	56	9	the	the	DET
gc-669	56	10	steepness	steepness	NOUN
gc-669	56	11	(	(	PUNCT
gc-669	56	12	slope	slope	NOUN
gc-669	56	13	from	from	ADP
gc-669	56	14	the	the	DET
gc-669	56	15	digital	digital	ADJ
gc-669	56	16	elevation	elevation	NOUN
gc-669	56	17	model	model	NOUN
gc-669	56	18	;	;	PUNCT
gc-669	56	19	see	see	VERB
gc-669	56	20	.	.	PUNCT
gc-669	57	1	fig	fig	NOUN
gc-669	57	2	.	.	PUNCT
gc-669	58	1	3	3	NUM
gc-669	58	2	)	)	PUNCT
gc-669	58	3	of	of	ADP
gc-669	58	4	the	the	DET
gc-669	58	5	study	study	NOUN
gc-669	58	6	area	area	NOUN
gc-669	58	7	was	be	AUX
gc-669	58	8	the	the	DET
gc-669	58	9	basis	basis	NOUN
gc-669	58	10	for	for	ADP
gc-669	58	11	the	the	DET
gc-669	58	12	stratification	stratification	NOUN
gc-669	58	13	.	.	PUNCT
gc-669	59	1	arable	arable	ADJ
gc-669	59	2	lands	land	NOUN
gc-669	59	3	are	be	AUX
gc-669	59	4	the	the	DET
gc-669	59	5	most	most	ADV
gc-669	59	6	seriously	seriously	ADV
gc-669	59	7	affected	affect	VERB
gc-669	59	8	lc	lc	NOUN
gc-669	59	9	type	type	NOUN
gc-669	59	10	by	by	ADP
gc-669	59	11	soil	soil	NOUN
gc-669	59	12	erosion	erosion	NOUN
gc-669	59	13	.	.	PUNCT
gc-669	60	1	hence	hence	ADV
gc-669	60	2	,	,	PUNCT
gc-669	60	3	this	this	DET
gc-669	60	4	lc	lc	NOUN
gc-669	60	5	type	type	NOUN
gc-669	60	6	(	(	PUNCT
gc-669	60	7	including	include	VERB
gc-669	60	8	the	the	DET
gc-669	60	9	eroded	erode	VERB
gc-669	60	10	and	and	CCONJ
gc-669	60	11	accumulated	accumulate	VERB
gc-669	60	12	soil	soil	NOUN
gc-669	60	13	patterns	pattern	NOUN
gc-669	60	14	)	)	PUNCT
gc-669	60	15	had	have	VERB
gc-669	60	16	more	more	ADJ
gc-669	60	17	weights	weight	NOUN
gc-669	60	18	in	in	ADP
gc-669	60	19	the	the	DET
gc-669	60	20	sampling	sample	VERB
gc-669	60	21	strategy	strategy	NOUN
gc-669	60	22	than	than	ADP
gc-669	60	23	forests	forest	NOUN
gc-669	60	24	and	and	CCONJ
gc-669	60	25	meadows	meadow	NOUN
gc-669	60	26	,	,	PUNCT
gc-669	60	27	because	because	SCONJ
gc-669	60	28	the	the	DET
gc-669	60	29	previous	previous	ADJ
gc-669	60	30	lc	lc	NOUN
gc-669	60	31	types	type	NOUN
gc-669	60	32	are	be	AUX
gc-669	60	33	not	not	PART
gc-669	60	34	affected	affect	VERB
gc-669	60	35	by	by	ADP
gc-669	60	36	this	this	DET
gc-669	60	37	soil	soil	NOUN
gc-669	60	38	degradation	degradation	NOUN
gc-669	60	39	process	process	NOUN
gc-669	60	40	(	(	PUNCT
gc-669	60	41	borcsik	borcsik	PROPN
gc-669	60	42	et	et	PROPN
gc-669	60	43	al	al	PROPN
gc-669	60	44	.	.	PROPN
gc-669	60	45	,	,	PUNCT
gc-669	60	46	2011	2011	NUM
gc-669	60	47	)	)	PUNCT
gc-669	60	48	.	.	PUNCT
gc-669	61	1	as	as	ADP
gc-669	61	2	a	a	DET
gc-669	61	3	consequence	consequence	NOUN
gc-669	61	4	,	,	PUNCT
gc-669	61	5	arable	arable	ADJ
gc-669	61	6	lands	land	NOUN
gc-669	61	7	(	(	PUNCT
gc-669	61	8	including	include	VERB
gc-669	61	9	the	the	DET
gc-669	61	10	eroded	erode	VERB
gc-669	61	11	and	and	CCONJ
gc-669	61	12	accumulated	accumulate	VERB
gc-669	61	13	soil	soil	NOUN
gc-669	61	14	patterns	pattern	NOUN
gc-669	61	15	,	,	PUNCT
gc-669	61	16	as	as	ADV
gc-669	61	17	well	well	ADV
gc-669	61	18	as	as	ADP
gc-669	61	19	the	the	DET
gc-669	61	20	flat	flat	ADJ
gc-669	61	21	valley	valley	NOUN
gc-669	61	22	bottom	bottom	NOUN
gc-669	61	23	)	)	PUNCT
gc-669	61	24	are	be	AUX
gc-669	61	25	relatively	relatively	ADV
gc-669	61	26	overrepresented	overrepresented	ADJ
gc-669	61	27	;	;	PUNCT
gc-669	61	28	whilst	whilst	SCONJ
gc-669	61	29	forest	forest	NOUN
gc-669	61	30	and	and	CCONJ
gc-669	61	31	meadows	meadow	NOUN
gc-669	61	32	are	be	AUX
gc-669	61	33	relatively	relatively	ADV
gc-669	61	34	underrepresented	underrepresented	ADJ
gc-669	61	35	.	.	PUNCT
gc-669	62	1	according	accord	VERB
gc-669	62	2	to	to	ADP
gc-669	62	3	webster	webster	PROPN
gc-669	62	4	&	&	CCONJ
gc-669	62	5	oliver	oliver	PROPN
gc-669	62	6	(	(	PUNCT
gc-669	62	7	2007	2007	NUM
gc-669	62	8	)	)	PUNCT
gc-669	62	9	,	,	PUNCT
gc-669	62	10	geostatistical	geostatistical	ADJ
gc-669	62	11	considerations	consideration	NOUN
gc-669	62	12	were	be	AUX
gc-669	62	13	applied	apply	VERB
gc-669	62	14	in	in	ADP
gc-669	62	15	the	the	DET
gc-669	62	16	sampling	sample	VERB
gc-669	62	17	strategy	strategy	NOUN
gc-669	62	18	to	to	PART
gc-669	62	19	make	make	VERB
gc-669	62	20	sure	sure	ADJ
gc-669	62	21	that	that	SCONJ
gc-669	62	22	the	the	DET
gc-669	62	23	sampling	sample	VERB
gc-669	62	24	design	design	NOUN
gc-669	62	25	covered	cover	VERB
gc-669	62	26	the	the	DET
gc-669	62	27	study	study	NOUN
gc-669	62	28	site	site	NOUN
gc-669	62	29	uniformly	uniformly	ADV
gc-669	62	30	,	,	PUNCT
gc-669	62	31	as	as	ADV
gc-669	62	32	far	far	ADV
gc-669	62	33	as	as	ADP
gc-669	62	34	possible	possible	ADJ
gc-669	62	35	.	.	PUNCT
gc-669	63	1	the	the	DET
gc-669	63	2	soil	soil	NOUN
gc-669	63	3	profiles	profile	NOUN
gc-669	63	4	were	be	AUX
gc-669	63	5	excavated	excavate	VERB
gc-669	63	6	;	;	PUNCT
gc-669	63	7	their	their	PRON
gc-669	63	8	total	total	ADJ
gc-669	63	9	depth	depth	NOUN
gc-669	63	10	was	be	AUX
gc-669	63	11	140	140	NUM
gc-669	63	12	cm	cm	NOUN
gc-669	63	13	,	,	PUNCT
gc-669	63	14	where	where	SCONJ
gc-669	63	15	the	the	DET
gc-669	63	16	parent	parent	NOUN
gc-669	63	17	material	material	NOUN
gc-669	63	18	(	(	PUNCT
gc-669	63	19	loess	loess	NOUN
gc-669	63	20	-	-	PUNCT
gc-669	63	21	like	like	ADJ
gc-669	63	22	sediments	sediment	NOUN
gc-669	63	23	)	)	PUNCT
gc-669	63	24	was	be	AUX
gc-669	63	25	reached	reach	VERB
gc-669	63	26	.	.	PUNCT
gc-669	64	1	the	the	DET
gc-669	64	2	topsoil	topsoil	NOUN
gc-669	64	3	layer	layer	NOUN
gc-669	64	4	(	(	PUNCT
gc-669	64	5	0	0	NUM
gc-669	64	6	-	-	SYM
gc-669	64	7	10	10	NUM
gc-669	64	8	cm	cm	NUM
gc-669	64	9	depth	depth	NOUN
gc-669	64	10	)	)	PUNCT
gc-669	64	11	of	of	ADP
gc-669	64	12	the	the	DET
gc-669	64	13	profiles	profile	NOUN
gc-669	64	14	was	be	AUX
gc-669	64	15	sampled	sample	VERB
gc-669	64	16	.	.	PUNCT
gc-669	65	1	a	a	DET
gc-669	65	2	gouge	gouge	NOUN
gc-669	65	3	auger	auger	NOUN
gc-669	65	4	was	be	AUX
gc-669	65	5	used	use	VERB
gc-669	65	6	to	to	PART
gc-669	65	7	excavate	excavate	VERB
gc-669	65	8	the	the	DET
gc-669	65	9	boreholes	borehole	NOUN
gc-669	65	10	with	with	ADP
gc-669	65	11	an	an	DET
gc-669	65	12	average	average	ADJ
gc-669	65	13	total	total	ADJ
gc-669	65	14	depth	depth	NOUN
gc-669	65	15	of	of	ADP
gc-669	65	16	120	120	NUM
gc-669	65	17	cm	cm	NOUN
gc-669	65	18	.	.	PUNCT
gc-669	66	1	the	the	DET
gc-669	66	2	total	total	ADJ
gc-669	66	3	depths	depth	NOUN
gc-669	66	4	of	of	ADP
gc-669	66	5	the	the	DET
gc-669	66	6	boreholes	borehole	NOUN
gc-669	66	7	were	be	AUX
gc-669	66	8	determined	determine	VERB
gc-669	66	9	by	by	ADP
gc-669	66	10	the	the	DET
gc-669	66	11	depth	depth	NOUN
gc-669	66	12	of	of	ADP
gc-669	66	13	the	the	DET
gc-669	66	14	parent	parent	NOUN
gc-669	66	15	material	material	NOUN
gc-669	66	16	.	.	PUNCT
gc-669	67	1	the	the	DET
gc-669	67	2	samples	sample	NOUN
gc-669	67	3	were	be	AUX
gc-669	67	4	collected	collect	VERB
gc-669	67	5	from	from	ADP
gc-669	67	6	the	the	DET
gc-669	67	7	topsoil	topsoil	NOUN
gc-669	67	8	layer	layer	NOUN
gc-669	67	9	(	(	PUNCT
gc-669	67	10	0	0	NUM
gc-669	67	11	-	-	SYM
gc-669	67	12	10	10	NUM
gc-669	67	13	cm	cm	NUM
gc-669	67	14	depth	depth	NOUN
gc-669	67	15	)	)	PUNCT
gc-669	67	16	of	of	ADP
gc-669	67	17	the	the	DET
gc-669	67	18	boreholes	borehole	NOUN
gc-669	67	19	.	.	PUNCT
gc-669	68	1	the	the	DET
gc-669	68	2	soil	soil	NOUN
gc-669	68	3	profiles	profile	NOUN
gc-669	68	4	and	and	CCONJ
gc-669	68	5	the	the	DET
gc-669	68	6	boreholes	borehole	NOUN
gc-669	68	7	were	be	AUX
gc-669	68	8	used	use	VERB
gc-669	68	9	to	to	PART
gc-669	68	10	characterize	characterize	VERB
gc-669	68	11	the	the	DET
gc-669	68	12	main	main	ADJ
gc-669	68	13	soil	soil	NOUN
gc-669	68	14	types	type	NOUN
gc-669	68	15	,	,	PUNCT
gc-669	68	16	as	as	ADV
gc-669	68	17	well	well	ADV
gc-669	68	18	as	as	ADP
gc-669	68	19	the	the	DET
gc-669	68	20	soil	soil	NOUN
gc-669	68	21	erosion	erosion	NOUN
gc-669	68	22	process	process	NOUN
gc-669	68	23	.	.	PUNCT
gc-669	69	1	the	the	DET
gc-669	69	2	laboratory	laboratory	NOUN
gc-669	69	3	analyses	analysis	NOUN
gc-669	69	4	included	include	VERB
gc-669	69	5	the	the	DET
gc-669	69	6	determination	determination	NOUN
gc-669	69	7	of	of	ADP
gc-669	69	8	som	som	NOUN
gc-669	69	9	,	,	PUNCT
gc-669	69	10	particle	particle	NOUN
gc-669	69	11	size	size	NOUN
gc-669	69	12	distribution	distribution	NOUN
gc-669	69	13	,	,	PUNCT
gc-669	69	14	ph	ph	ADJ
gc-669	69	15	,	,	PUNCT
gc-669	69	16	bulk	bulk	ADJ
gc-669	69	17	density	density	NOUN
gc-669	69	18	,	,	PUNCT
gc-669	69	19	as	as	ADV
gc-669	69	20	well	well	ADV
gc-669	69	21	as	as	ADP
gc-669	69	22	the	the	DET
gc-669	69	23	carbonate	carbonate	NOUN
gc-669	69	24	content	content	NOUN
gc-669	69	25	(	(	PUNCT
gc-669	69	26	borcsik	borcsik	PROPN
gc-669	69	27	et	et	PROPN
gc-669	69	28	al	al	PROPN
gc-669	69	29	.	.	PROPN
gc-669	69	30	,	,	PUNCT
gc-669	69	31	2011	2011	NUM
gc-669	69	32	)	)	PUNCT
gc-669	69	33	.	.	PUNCT
gc-669	70	1	this	this	DET
gc-669	70	2	study	study	NOUN
gc-669	70	3	has	have	AUX
gc-669	70	4	used	use	VERB
gc-669	70	5	the	the	DET
gc-669	70	6	som	som	PROPN
gc-669	70	7	measurement	measurement	NOUN
gc-669	70	8	data	datum	NOUN
gc-669	70	9	according	accord	VERB
gc-669	70	10	to	to	ADP
gc-669	70	11	the	the	DET
gc-669	70	12	hungarian	hungarian	ADJ
gc-669	70	13	standard	standard	NOUN
gc-669	70	14	(	(	PUNCT
gc-669	70	15	msz	msz	PROPN
gc-669	70	16	21470	21470	NUM
gc-669	70	17	-	-	SYM
gc-669	70	18	52:1983	52:1983	NUM
gc-669	70	19	)	)	PUNCT
gc-669	70	20	,	,	PUNCT
gc-669	70	21	which	which	PRON
gc-669	70	22	means	mean	VERB
gc-669	70	23	that	that	SCONJ
gc-669	70	24	som	som	PROPN
gc-669	70	25	content	content	NOUN
gc-669	70	26	was	be	AUX
gc-669	70	27	determined	determine	VERB
gc-669	70	28	after	after	ADP
gc-669	70	29	sulfuric	sulfuric	NOUN
gc-669	70	30	acid	acid	NOUN
gc-669	70	31	digestion	digestion	NOUN
gc-669	70	32	in	in	ADP
gc-669	70	33	the	the	DET
gc-669	70	34	presence	presence	NOUN
gc-669	70	35	of	of	ADP
gc-669	70	36	0.33	0.33	NUM
gc-669	70	37	mol	mol	ADP
gc-669	70	38	/	/	SYM
gc-669	70	39	dm3	dm3	NOUN
gc-669	70	40	potassium	potassium	NOUN
gc-669	70	41	dichromate	dichromate	NOUN
gc-669	70	42	by	by	ADP
gc-669	70	43	spectrophotometer	spectrophotometer	NOUN
gc-669	70	44	(	(	PUNCT
gc-669	70	45	type	type	NOUN
gc-669	70	46	:	:	PUNCT
gc-669	70	47	helios	helio	NOUN
gc-669	70	48	-	-	PUNCT
gc-669	70	49	gamma	gamma	NOUN
gc-669	70	50	)	)	PUNCT
gc-669	70	51	.	.	PUNCT
gc-669	71	1	figure	figure	VERB
gc-669	71	2	1	1	NUM
gc-669	71	3	:	:	PUNCT
gc-669	71	4	the	the	DET
gc-669	71	5	location	location	NOUN
gc-669	71	6	of	of	ADP
gc-669	71	7	the	the	DET
gc-669	71	8	study	study	NOUN
gc-669	71	9	site	site	NOUN
gc-669	71	10	in	in	ADP
gc-669	71	11	hungary	hungary	PROPN
gc-669	71	12	and	and	CCONJ
gc-669	71	13	its	its	PRON
gc-669	71	14	land	land	NOUN
gc-669	71	15	cover	cover	NOUN
gc-669	71	16	presented	present	VERB
gc-669	71	17	with	with	ADP
gc-669	71	18	the	the	DET
gc-669	71	19	measured	measure	VERB
gc-669	71	20	soil	soil	NOUN
gc-669	71	21	organic	organic	ADJ
gc-669	71	22	matter	matter	NOUN
gc-669	71	23	(	(	PUNCT
gc-669	71	24	som	som	NOUN
gc-669	71	25	)	)	PUNCT
gc-669	71	26	data	datum	NOUN
gc-669	71	27	at	at	ADP
gc-669	71	28	the	the	DET
gc-669	71	29	sampling	sampling	NOUN
gc-669	71	30	points	point	NOUN
gc-669	71	31	.	.	PUNCT
gc-669	72	1	table	table	NOUN
gc-669	72	2	1	1	NUM
gc-669	72	3	:	:	PUNCT
gc-669	72	4	summary	summary	NOUN
gc-669	72	5	statistics	statistic	NOUN
gc-669	72	6	of	of	ADP
gc-669	72	7	the	the	DET
gc-669	72	8	soil	soil	NOUN
gc-669	72	9	organic	organic	ADJ
gc-669	72	10	matter	matter	NOUN
gc-669	72	11	(	(	PUNCT
gc-669	72	12	som	som	NOUN
gc-669	72	13	)	)	PUNCT
gc-669	72	14	data	datum	NOUN
gc-669	72	15	excluding	exclude	VERB
gc-669	72	16	outliers	outlier	NOUN
gc-669	72	17	.	.	PUNCT
gc-669	73	1	statistics	statistic	NOUN
gc-669	73	2	value	value	NOUN
gc-669	73	3	mean	mean	VERB
gc-669	73	4	1.600	1.600	NUM
gc-669	73	5	median	median	NOUN
gc-669	73	6	1.531	1.531	NUM
gc-669	73	7	std	std	NOUN
gc-669	73	8	.	.	PUNCT
gc-669	74	1	dev	dev	PROPN
gc-669	74	2	.	.	PROPN
gc-669	75	1	0.502	0.502	NUM
gc-669	75	2	minimum	minimum	ADJ
gc-669	75	3	0.768	0.768	NUM
gc-669	75	4	maximum	maximum	ADJ
gc-669	75	5	3.546	3.546	NUM
gc-669	75	6	skewness	skewness	NOUN
gc-669	75	7	0.603	0.603	NUM
gc-669	75	8	kurtosis	kurtosis	NOUN
gc-669	75	9	0.141	0.141	NUM
gc-669	75	10	geologia	geologia	ADJ
gc-669	75	11	croatica	croatica	PROPN
gc-669	75	12	68/3geologia	68/3geologia	NUM
gc-669	75	13	croatica	croatica	PROPN
gc-669	75	14	276	276	NUM
gc-669	75	15	trend	trend	NOUN
gc-669	75	16	component	component	NOUN
gc-669	75	17	(	(	PUNCT
gc-669	75	18	also	also	ADV
gc-669	75	19	referred	refer	VERB
gc-669	75	20	to	to	ADP
gc-669	75	21	as	as	ADP
gc-669	75	22	drift	drift	NOUN
gc-669	75	23	or	or	CCONJ
gc-669	75	24	mean	mean	VERB
gc-669	75	25	,	,	PUNCT
gc-669	75	26	see	see	VERB
gc-669	75	27	goovaerts	goovaert	NOUN
gc-669	75	28	[	[	X
gc-669	75	29	1997	1997	NUM
gc-669	75	30	]	]	PUNCT
gc-669	75	31	)	)	PUNCT
gc-669	75	32	m(u	m(u	PROPN
gc-669	75	33	)	)	PUNCT
gc-669	75	34	and	and	CCONJ
gc-669	75	35	a	a	DET
gc-669	75	36	residual	residual	ADJ
gc-669	75	37	component	component	NOUN
gc-669	75	38	ε(u	ε(u	NOUN
gc-669	75	39	)	)	PUNCT
gc-669	75	40	:	:	PUNCT
gc-669	75	41	(	(	PUNCT
gc-669	75	42	)	)	PUNCT
gc-669	75	43	(	(	PUNCT
gc-669	75	44	)	)	PUNCT
gc-669	75	45	(	(	PUNCT
gc-669	75	46	)	)	PUNCT
gc-669	75	47	z	z	NOUN
gc-669	75	48	m	m	NOUN
gc-669	75	49	e=	e=	NOUN
gc-669	76	1	+	+	ADJ
gc-669	76	2	u	u	X
gc-669	76	3	u	u	X
gc-669	76	4	u	u	NOUN
gc-669	76	5	,	,	PUNCT
gc-669	76	6	(	(	PUNCT
gc-669	76	7	eq	eq	NOUN
gc-669	76	8	.	.	NOUN
gc-669	76	9	1	1	NUM
gc-669	76	10	)	)	PUNCT
gc-669	76	11	where	where	SCONJ
gc-669	76	12	the	the	DET
gc-669	76	13	trend	trend	NOUN
gc-669	76	14	component	component	NOUN
gc-669	76	15	is	be	AUX
gc-669	76	16	accounted	account	VERB
gc-669	76	17	for	for	ADP
gc-669	76	18	by	by	ADP
gc-669	76	19	a	a	DET
gc-669	76	20	multiple	multiple	ADJ
gc-669	76	21	linear	linear	PROPN
gc-669	76	22	regression	regression	NOUN
gc-669	76	23	model	model	NOUN
gc-669	76	24	,	,	PUNCT
gc-669	76	25	whilst	whilst	SCONJ
gc-669	76	26	the	the	DET
gc-669	76	27	model	model	NOUN
gc-669	76	28	residuals	residual	NOUN
gc-669	76	29	represent	represent	VERB
gc-669	76	30	the	the	DET
gc-669	76	31	spatially	spatially	ADV
gc-669	76	32	varying	vary	VERB
gc-669	76	33	but	but	CCONJ
gc-669	76	34	dependent	dependent	ADJ
gc-669	76	35	stochastic	stochastic	ADJ
gc-669	76	36	component	component	NOUN
gc-669	76	37	with	with	ADP
gc-669	76	38	zero	zero	NUM
gc-669	76	39	mean	mean	NOUN
gc-669	76	40	,	,	PUNCT
gc-669	76	41	normal	normal	ADJ
gc-669	76	42	distribution	distribution	NOUN
gc-669	76	43	(	(	PUNCT
gc-669	76	44	see	see	VERB
gc-669	76	45	fig	fig	NOUN
gc-669	76	46	.	.	PUNCT
gc-669	77	1	2	2	NUM
gc-669	77	2	)	)	PUNCT
gc-669	77	3	and	and	CCONJ
gc-669	77	4	covariance	covariance	NOUN
gc-669	77	5	structure	structure	NOUN
gc-669	77	6	,	,	PUNCT
gc-669	77	7	which	which	PRON
gc-669	77	8	can	can	AUX
gc-669	77	9	be	be	AUX
gc-669	77	10	modeled	model	VERB
gc-669	77	11	with	with	ADP
gc-669	77	12	a	a	DET
gc-669	77	13	simple	simple	ADJ
gc-669	77	14	kriging	krige	VERB
gc-669	77	15	technique	technique	NOUN
gc-669	77	16	.	.	PUNCT
gc-669	78	1	figure	figure	NOUN
gc-669	78	2	2	2	NUM
gc-669	78	3	presents	present	VERB
gc-669	78	4	the	the	DET
gc-669	78	5	schema	schema	NOUN
gc-669	78	6	of	of	ADP
gc-669	78	7	rk	rk	NOUN
gc-669	78	8	.	.	PROPN
gc-669	78	9	based	base	VERB
gc-669	78	10	on	on	ADP
gc-669	78	11	this	this	PRON
gc-669	78	12	,	,	PUNCT
gc-669	78	13	the	the	DET
gc-669	78	14	estimation	estimation	NOUN
gc-669	78	15	for	for	ADP
gc-669	78	16	z	z	NOUN
gc-669	78	17	at	at	ADP
gc-669	78	18	an	an	DET
gc-669	78	19	unvisited	unvisited	ADJ
gc-669	78	20	location	location	NOUN
gc-669	78	21	u0	u0	NOUN
gc-669	78	22	is	be	AUX
gc-669	78	23	given	give	VERB
gc-669	78	24	by	by	ADP
gc-669	78	25	t	t	PROPN
gc-669	78	26	t	t	PROPN
gc-669	78	27	0	0	NUM
gc-669	78	28	0	0	NUM
gc-669	78	29	0(u	0(u	NUM
gc-669	78	30	)	)	PUNCT
gc-669	78	31	q	q	NOUN
gc-669	79	1	(	(	PUNCT
gc-669	79	2	z	z	NOUN
gc-669	79	3	–	–	PUNCT
gc-669	79	4	q	q	NOUN
gc-669	79	5	)	)	PUNCT
gc-669	79	6	z	z	NOUN
gc-669	80	1	=	=	SYM
gc-669	80	2	×	×	NOUN
gc-669	80	3	+	+	CCONJ
gc-669	80	4	×b	×b	NOUN
gc-669	80	5	l	l	NOUN
gc-669	80	6	be	be	AUX
gc-669	80	7	(	(	PUNCT
gc-669	80	8	eq	eq	NOUN
gc-669	80	9	.	.	NOUN
gc-669	80	10	2	2	NUM
gc-669	80	11	)	)	PUNCT
gc-669	80	12	where	where	SCONJ
gc-669	80	13	β	β	PROPN
gc-669	80	14	is	be	AUX
gc-669	80	15	the	the	DET
gc-669	80	16	vector	vector	NOUN
gc-669	80	17	of	of	ADP
gc-669	80	18	the	the	DET
gc-669	80	19	regression	regression	NOUN
gc-669	80	20	coefficients	coefficient	NOUN
gc-669	80	21	,	,	PUNCT
gc-669	80	22	q0	q0	PROPN
gc-669	80	23	is	be	AUX
gc-669	80	24	the	the	DET
gc-669	80	25	vector	vector	NOUN
gc-669	80	26	of	of	ADP
gc-669	80	27	the	the	DET
gc-669	80	28	secondary	secondary	ADJ
gc-669	80	29	information	information	NOUN
gc-669	80	30	at	at	ADP
gc-669	80	31	the	the	DET
gc-669	80	32	unvisited	unvisited	ADJ
gc-669	80	33	location	location	NOUN
gc-669	80	34	,	,	PUNCT
gc-669	80	35	λ0	λ0	NOUN
gc-669	80	36	is	be	AUX
gc-669	80	37	the	the	DET
gc-669	80	38	vector	vector	NOUN
gc-669	80	39	of	of	ADP
gc-669	80	40	the	the	DET
gc-669	80	41	simple	simple	ADJ
gc-669	80	42	kriging	krige	VERB
gc-669	80	43	weights	weight	NOUN
gc-669	80	44	(	(	PUNCT
gc-669	80	45	assigned	assign	VERB
gc-669	80	46	to	to	ADP
gc-669	80	47	the	the	DET
gc-669	80	48	regression	regression	NOUN
gc-669	80	49	’s	’s	PART
gc-669	80	50	residuals	residual	NOUN
gc-669	80	51	)	)	PUNCT
gc-669	80	52	,	,	PUNCT
gc-669	80	53	z	z	PROPN
gc-669	80	54	is	be	AUX
gc-669	80	55	the	the	DET
gc-669	80	56	vector	vector	NOUN
gc-669	80	57	of	of	ADP
gc-669	80	58	the	the	DET
gc-669	80	59	observations	observation	NOUN
gc-669	80	60	and	and	CCONJ
gc-669	80	61	q	q	NOUN
gc-669	80	62	is	be	AUX
gc-669	80	63	the	the	DET
gc-669	80	64	matrix	matrix	NOUN
gc-669	80	65	of	of	ADP
gc-669	80	66	the	the	DET
gc-669	80	67	secondary	secondary	ADJ
gc-669	80	68	information	information	NOUN
gc-669	80	69	at	at	ADP
gc-669	80	70	the	the	DET
gc-669	80	71	sampling	sample	VERB
gc-669	80	72	locations	location	NOUN
gc-669	80	73	.	.	PUNCT
gc-669	81	1	the	the	DET
gc-669	81	2	regression	regression	NOUN
gc-669	81	3	coefficients	coefficient	NOUN
gc-669	81	4	are	be	AUX
gc-669	81	5	estimated	estimate	VERB
gc-669	81	6	by	by	ADP
gc-669	81	7	the	the	DET
gc-669	81	8	generalized	generalized	ADJ
gc-669	81	9	least	least	ADJ
gc-669	81	10	squares	square	NOUN
gc-669	81	11	(	(	PUNCT
gc-669	81	12	gls	gls	NOUN
gc-669	81	13	)	)	PUNCT
gc-669	81	14	method	method	NOUN
gc-669	81	15	because	because	SCONJ
gc-669	81	16	it	it	PRON
gc-669	81	17	is	be	AUX
gc-669	81	18	able	able	ADJ
gc-669	81	19	to	to	PART
gc-669	81	20	take	take	VERB
gc-669	81	21	the	the	DET
gc-669	81	22	covariance	covariance	NOUN
gc-669	81	23	matrix	matrix	NOUN
gc-669	81	24	of	of	ADP
gc-669	81	25	the	the	DET
gc-669	81	26	residuals	residual	NOUN
gc-669	81	27	into	into	ADP
gc-669	81	28	account	account	NOUN
gc-669	81	29	along	along	ADP
gc-669	81	30	the	the	DET
gc-669	81	31	estimation	estimation	NOUN
gc-669	81	32	process	process	NOUN
gc-669	81	33	.	.	PUNCT
gc-669	82	1	3.3	3.3	NUM
gc-669	82	2	.	.	PUNCT
gc-669	82	3	spatially	spatially	ADV
gc-669	82	4	exhaustive	exhaustive	ADJ
gc-669	82	5	secondary	secondary	ADJ
gc-669	82	6	information	information	NOUN
gc-669	82	7	for	for	ADP
gc-669	82	8	rk	rk	NOUN
gc-669	82	9	in	in	ADP
gc-669	82	10	case	case	NOUN
gc-669	82	11	of	of	ADP
gc-669	82	12	soil	soil	NOUN
gc-669	82	13	related	relate	VERB
gc-669	82	14	attribute(s	attribute(s	NOUN
gc-669	82	15	)	)	PUNCT
gc-669	82	16	,	,	PUNCT
gc-669	82	17	secondary	secondary	ADJ
gc-669	82	18	information	information	NOUN
gc-669	82	19	can	can	AUX
gc-669	82	20	be	be	AUX
gc-669	82	21	compiled	compile	VERB
gc-669	82	22	according	accord	VERB
gc-669	82	23	to	to	ADP
gc-669	82	24	the	the	DET
gc-669	82	25	soil	soil	NOUN
gc-669	82	26	-	-	PUNCT
gc-669	82	27	forming	form	VERB
gc-669	82	28	factors	factor	NOUN
gc-669	82	29	because	because	SCONJ
gc-669	82	30	there	there	PRON
gc-669	82	31	is	be	VERB
gc-669	82	32	a	a	DET
gc-669	82	33	significant	significant	ADJ
gc-669	82	34	relationship	relationship	NOUN
gc-669	82	35	between	between	ADP
gc-669	82	36	these	these	DET
gc-669	82	37	factors	factor	NOUN
gc-669	82	38	and	and	CCONJ
gc-669	82	39	the	the	DET
gc-669	82	40	soil	soil	NOUN
gc-669	82	41	attribute(s	attribute(s	NOUN
gc-669	82	42	)	)	PUNCT
gc-669	82	43	(	(	PUNCT
gc-669	82	44	phillips	phillip	NOUN
gc-669	82	45	,	,	PUNCT
gc-669	82	46	1998	1998	NUM
gc-669	82	47	;	;	PUNCT
gc-669	82	48	mcbratney	mcbratney	PROPN
gc-669	82	49	et	et	PROPN
gc-669	82	50	al	al	PROPN
gc-669	82	51	.	.	PROPN
gc-669	82	52	,	,	PUNCT
gc-669	82	53	2003	2003	NUM
gc-669	82	54	;	;	PUNCT
gc-669	82	55	bockheim	bockheim	PROPN
gc-669	82	56	&	&	CCONJ
gc-669	82	57	gennadiyev	gennadiyev	PROPN
gc-669	82	58	,	,	PUNCT
gc-669	82	59	2010	2010	NUM
gc-669	82	60	;	;	PUNCT
gc-669	82	61	szatmári	szatmári	PROPN
gc-669	82	62	et	et	PROPN
gc-669	82	63	al	al	PROPN
gc-669	82	64	.	.	PROPN
gc-669	82	65	,	,	PUNCT
gc-669	82	66	2013	2013	NUM
gc-669	82	67	;	;	PUNCT
gc-669	82	68	bockheim	bockheim	PROPN
gc-669	82	69	et	et	PROPN
gc-669	82	70	al	al	PROPN
gc-669	82	71	.	.	PROPN
gc-669	82	72	,	,	PUNCT
gc-669	82	73	2014	2014	NUM
gc-669	82	74	)	)	PUNCT
gc-669	82	75	.	.	PUNCT
gc-669	83	1	according	accord	VERB
gc-669	83	2	to	to	ADP
gc-669	83	3	bockheim	bockheim	PROPN
gc-669	83	4	et	et	PROPN
gc-669	83	5	al	al	PROPN
gc-669	83	6	.	.	PROPN
gc-669	84	1	(	(	PUNCT
gc-669	84	2	2014	2014	NUM
gc-669	84	3	)	)	PUNCT
gc-669	84	4	,	,	PUNCT
gc-669	84	5	the	the	DET
gc-669	84	6	soil	soil	NOUN
gc-669	84	7	-	-	PUNCT
gc-669	84	8	forming	form	VERB
gc-669	84	9	factors	factor	NOUN
gc-669	84	10	are	be	AUX
gc-669	84	11	the	the	DET
gc-669	84	12	following	follow	VERB
gc-669	84	13	:	:	PUNCT
gc-669	84	14	topography	topography	NOUN
gc-669	84	15	,	,	PUNCT
gc-669	84	16	climate	climate	NOUN
gc-669	84	17	,	,	PUNCT
gc-669	84	18	parent	parent	NOUN
gc-669	84	19	material	material	NOUN
gc-669	84	20	,	,	PUNCT
gc-669	84	21	organisms	organism	NOUN
gc-669	84	22	(	(	PUNCT
gc-669	84	23	i.e.	i.e.	X
gc-669	84	24	vegetation	vegetation	NOUN
gc-669	84	25	and	and	CCONJ
gc-669	84	26	fauna	fauna	NOUN
gc-669	84	27	)	)	PUNCT
gc-669	84	28	,	,	PUNCT
gc-669	84	29	the	the	DET
gc-669	84	30	age	age	NOUN
gc-669	84	31	of	of	ADP
gc-669	84	32	the	the	DET
gc-669	84	33	soil	soil	NOUN
gc-669	84	34	and	and	CCONJ
gc-669	84	35	the	the	DET
gc-669	84	36	human	human	ADJ
gc-669	84	37	intervention	intervention	NOUN
gc-669	84	38	,	,	PUNCT
gc-669	84	39	as	as	ADP
gc-669	84	40	an	an	DET
gc-669	84	41	anthropogenic	anthropogenic	ADJ
gc-669	84	42	factor	factor	NOUN
gc-669	84	43	.	.	PUNCT
gc-669	85	1	only	only	ADV
gc-669	85	2	one	one	NUM
gc-669	85	3	outlier	outlier	NOUN
gc-669	85	4	was	be	AUX
gc-669	85	5	identified	identify	VERB
gc-669	85	6	by	by	ADP
gc-669	85	7	box	box	NOUN
gc-669	85	8	and	and	CCONJ
gc-669	85	9	whisker	whisker	NOUN
gc-669	85	10	plot	plot	NOUN
gc-669	85	11	and	and	CCONJ
gc-669	85	12	then	then	ADV
gc-669	85	13	it	it	PRON
gc-669	85	14	was	be	AUX
gc-669	85	15	removed	remove	VERB
gc-669	85	16	from	from	ADP
gc-669	85	17	the	the	DET
gc-669	85	18	raw	raw	ADJ
gc-669	85	19	som	som	NOUN
gc-669	85	20	data	data	PROPN
gc-669	85	21	.	.	PUNCT
gc-669	86	1	then	then	ADV
gc-669	86	2	summary	summary	NOUN
gc-669	86	3	statistics	statistic	NOUN
gc-669	86	4	were	be	AUX
gc-669	86	5	calculated	calculate	VERB
gc-669	86	6	for	for	ADP
gc-669	86	7	the	the	DET
gc-669	86	8	filtered	filter	VERB
gc-669	86	9	som	som	NOUN
gc-669	86	10	data	datum	NOUN
gc-669	86	11	(	(	PUNCT
gc-669	86	12	table	table	NOUN
gc-669	86	13	1	1	NUM
gc-669	86	14	)	)	PUNCT
gc-669	86	15	.	.	PUNCT
gc-669	87	1	figure	figure	VERB
gc-669	87	2	1	1	NUM
gc-669	87	3	presents	present	VERB
gc-669	87	4	the	the	DET
gc-669	87	5	spatial	spatial	ADJ
gc-669	87	6	distribution	distribution	NOUN
gc-669	87	7	of	of	ADP
gc-669	87	8	the	the	DET
gc-669	87	9	measured	measure	VERB
gc-669	87	10	som	som	NOUN
gc-669	87	11	content	content	NOUN
gc-669	87	12	values	value	NOUN
gc-669	87	13	.	.	PUNCT
gc-669	88	1	as	as	SCONJ
gc-669	88	2	it	it	PRON
gc-669	88	3	was	be	AUX
gc-669	88	4	anticipated	anticipate	VERB
gc-669	88	5	,	,	PUNCT
gc-669	88	6	the	the	DET
gc-669	88	7	som	som	NOUN
gc-669	88	8	content	content	NOUN
gc-669	88	9	is	be	AUX
gc-669	88	10	much	much	ADV
gc-669	88	11	lower	low	ADJ
gc-669	88	12	in	in	ADP
gc-669	88	13	arable	arable	ADJ
gc-669	88	14	lands	land	NOUN
gc-669	88	15	and	and	CCONJ
gc-669	88	16	vineyards	vineyard	NOUN
gc-669	88	17	than	than	ADP
gc-669	88	18	in	in	ADP
gc-669	88	19	forests	forest	NOUN
gc-669	88	20	and	and	CCONJ
gc-669	88	21	meadows	meadow	NOUN
gc-669	88	22	,	,	PUNCT
gc-669	88	23	due	due	ADP
gc-669	88	24	to	to	ADP
gc-669	88	25	the	the	DET
gc-669	88	26	long	long	ADJ
gc-669	88	27	-	-	PUNCT
gc-669	88	28	term	term	NOUN
gc-669	88	29	and	and	CCONJ
gc-669	88	30	intensive	intensive	ADJ
gc-669	88	31	agricultural	agricultural	ADJ
gc-669	88	32	activity	activity	NOUN
gc-669	88	33	,	,	PUNCT
gc-669	88	34	as	as	ADV
gc-669	88	35	well	well	ADV
gc-669	88	36	as	as	ADP
gc-669	88	37	the	the	DET
gc-669	88	38	soil	soil	NOUN
gc-669	88	39	erosion	erosion	NOUN
gc-669	88	40	effects	effect	NOUN
gc-669	88	41	,	,	PUNCT
gc-669	88	42	which	which	PRON
gc-669	88	43	cause	cause	VERB
gc-669	88	44	a	a	DET
gc-669	88	45	higher	high	ADJ
gc-669	88	46	amount	amount	NOUN
gc-669	88	47	of	of	ADP
gc-669	88	48	organic	organic	ADJ
gc-669	88	49	matter	matter	NOUN
gc-669	88	50	mineralization	mineralization	NOUN
gc-669	88	51	,	,	PUNCT
gc-669	88	52	as	as	ADV
gc-669	88	53	well	well	ADV
gc-669	88	54	as	as	ADP
gc-669	88	55	the	the	DET
gc-669	88	56	erosion	erosion	NOUN
gc-669	88	57	of	of	ADP
gc-669	88	58	the	the	DET
gc-669	88	59	som	som	NOUN
gc-669	88	60	rich	rich	ADJ
gc-669	88	61	topsoil	topsoil	NOUN
gc-669	88	62	.	.	PUNCT
gc-669	89	1	as	as	ADP
gc-669	89	2	a	a	DET
gc-669	89	3	consequence	consequence	NOUN
gc-669	89	4	,	,	PUNCT
gc-669	89	5	the	the	DET
gc-669	89	6	study	study	NOUN
gc-669	89	7	site	site	NOUN
gc-669	89	8	shows	show	VERB
gc-669	89	9	a	a	DET
gc-669	89	10	diversified	diversified	ADJ
gc-669	89	11	picture	picture	NOUN
gc-669	89	12	of	of	ADP
gc-669	89	13	the	the	DET
gc-669	89	14	som	som	PROPN
gc-669	89	15	content	content	PROPN
gc-669	89	16	’s	’s	PART
gc-669	89	17	spatial	spatial	ADJ
gc-669	89	18	distribution	distribution	NOUN
gc-669	89	19	.	.	PUNCT
gc-669	90	1	these	these	PRON
gc-669	90	2	also	also	ADV
gc-669	90	3	imply	imply	VERB
gc-669	90	4	that	that	SCONJ
gc-669	90	5	,	,	PUNCT
gc-669	90	6	the	the	DET
gc-669	90	7	intrinsic	intrinsic	ADJ
gc-669	90	8	hypothesis	hypothesis	NOUN
gc-669	90	9	is	be	AUX
gc-669	90	10	not	not	PART
gc-669	90	11	reasonable	reasonable	ADJ
gc-669	90	12	to	to	PART
gc-669	90	13	hold	hold	VERB
gc-669	90	14	,	,	PUNCT
gc-669	90	15	because	because	SCONJ
gc-669	90	16	there	there	PRON
gc-669	90	17	is	be	VERB
gc-669	90	18	an	an	DET
gc-669	90	19	obtrusive	obtrusive	ADJ
gc-669	90	20	trend	trend	NOUN
gc-669	90	21	(	(	PUNCT
gc-669	90	22	i.e.	i.e.	X
gc-669	90	23	the	the	DET
gc-669	90	24	local	local	ADJ
gc-669	90	25	mean	mean	NOUN
gc-669	90	26	systematically	systematically	ADV
gc-669	90	27	varies	vary	VERB
gc-669	90	28	from	from	ADP
gc-669	90	29	place	place	NOUN
gc-669	90	30	to	to	ADP
gc-669	90	31	place	place	NOUN
gc-669	90	32	)	)	PUNCT
gc-669	90	33	,	,	PUNCT
gc-669	90	34	which	which	PRON
gc-669	90	35	makes	make	VERB
gc-669	90	36	several	several	ADJ
gc-669	90	37	kriging	krige	VERB
gc-669	90	38	techniques	technique	NOUN
gc-669	90	39	(	(	PUNCT
gc-669	90	40	e.g.	e.g.	ADV
gc-669	90	41	ordinary	ordinary	ADJ
gc-669	90	42	kriging	kriging	NOUN
gc-669	90	43	,	,	PUNCT
gc-669	90	44	simple	simple	ADJ
gc-669	90	45	kriging	kriging	NOUN
gc-669	90	46	)	)	PUNCT
gc-669	90	47	inappropriate	inappropriate	VERB
gc-669	90	48	.	.	PUNCT
gc-669	91	1	moreover	moreover	ADV
gc-669	91	2	,	,	PUNCT
gc-669	91	3	the	the	DET
gc-669	91	4	large	large	ADJ
gc-669	91	5	number	number	NOUN
gc-669	91	6	of	of	ADP
gc-669	91	7	factors	factor	NOUN
gc-669	91	8	(	(	PUNCT
gc-669	91	9	e.g.	e.g.	ADV
gc-669	91	10	land	land	NOUN
gc-669	91	11	cover	cover	NOUN
gc-669	91	12	types	type	NOUN
gc-669	91	13	,	,	PUNCT
gc-669	91	14	topography	topography	NOUN
gc-669	91	15	,	,	PUNCT
gc-669	91	16	morphometric	morphometric	ADJ
gc-669	91	17	parameters	parameter	NOUN
gc-669	91	18	)	)	PUNCT
gc-669	91	19	and	and	CCONJ
gc-669	91	20	their	their	PRON
gc-669	91	21	abrupt	abrupt	ADJ
gc-669	91	22	changes	change	NOUN
gc-669	91	23	in	in	ADP
gc-669	91	24	the	the	DET
gc-669	91	25	geographic	geographic	ADJ
gc-669	91	26	space	space	NOUN
gc-669	91	27	make	make	VERB
gc-669	91	28	cokriging	cokriging	NOUN
gc-669	91	29	and	and	CCONJ
gc-669	91	30	kriging	krige	VERB
gc-669	91	31	with	with	ADP
gc-669	91	32	external	external	ADJ
gc-669	91	33	drift	drift	NOUN
gc-669	91	34	techniques	technique	NOUN
gc-669	91	35	inadequate	inadequate	ADJ
gc-669	91	36	too	too	ADV
gc-669	91	37	,	,	PUNCT
gc-669	91	38	according	accord	VERB
gc-669	91	39	to	to	ADP
gc-669	91	40	goovaerts	goovaerts	PROPN
gc-669	91	41	(	(	PUNCT
gc-669	91	42	1997	1997	NUM
gc-669	91	43	)	)	PUNCT
gc-669	91	44	.	.	PUNCT
gc-669	92	1	alternatively	alternatively	ADV
gc-669	92	2	,	,	PUNCT
gc-669	92	3	rk	rk	PROPN
gc-669	92	4	is	be	AUX
gc-669	92	5	able	able	ADJ
gc-669	92	6	to	to	PART
gc-669	92	7	handle	handle	VERB
gc-669	92	8	the	the	DET
gc-669	92	9	trend	trend	NOUN
gc-669	92	10	,	,	PUNCT
gc-669	92	11	as	as	ADV
gc-669	92	12	well	well	ADV
gc-669	92	13	as	as	SCONJ
gc-669	92	14	it	it	PRON
gc-669	92	15	can	can	AUX
gc-669	92	16	take	take	VERB
gc-669	92	17	numerous	numerous	ADJ
gc-669	92	18	secondary	secondary	ADJ
gc-669	92	19	information	information	NOUN
gc-669	92	20	into	into	ADP
gc-669	92	21	account	account	NOUN
gc-669	92	22	considering	consider	VERB
gc-669	92	23	their	their	PRON
gc-669	92	24	abrupt	abrupt	ADJ
gc-669	92	25	changes	change	NOUN
gc-669	92	26	in	in	ADP
gc-669	92	27	geographic	geographic	ADJ
gc-669	92	28	space	space	NOUN
gc-669	92	29	.	.	PUNCT
gc-669	93	1	hence	hence	ADV
gc-669	93	2	,	,	PUNCT
gc-669	93	3	the	the	DET
gc-669	93	4	rk	rk	NOUN
gc-669	93	5	technique	technique	NOUN
gc-669	93	6	is	be	AUX
gc-669	93	7	a	a	DET
gc-669	93	8	reasonable	reasonable	ADJ
gc-669	93	9	choice	choice	NOUN
gc-669	93	10	for	for	ADP
gc-669	93	11	modeling	model	VERB
gc-669	93	12	the	the	DET
gc-669	93	13	som	som	NOUN
gc-669	93	14	content	content	PROPN
gc-669	93	15	’s	’s	PART
gc-669	93	16	spatial	spatial	ADJ
gc-669	93	17	distribution	distribution	NOUN
gc-669	93	18	in	in	ADP
gc-669	93	19	the	the	DET
gc-669	93	20	area	area	NOUN
gc-669	93	21	of	of	ADP
gc-669	93	22	interest	interest	NOUN
gc-669	93	23	.	.	PUNCT
gc-669	94	1	3.2	3.2	NUM
gc-669	94	2	.	.	PUNCT
gc-669	94	3	theory	theory	NOUN
gc-669	94	4	of	of	ADP
gc-669	94	5	regression	regression	NOUN
gc-669	94	6	kriging	krige	VERB
gc-669	94	7	(	(	PUNCT
gc-669	94	8	rk	rk	NOUN
gc-669	94	9	)	)	PUNCT
gc-669	94	10	in	in	ADP
gc-669	94	11	the	the	DET
gc-669	94	12	last	last	ADJ
gc-669	94	13	ten	ten	NUM
gc-669	94	14	years	year	NOUN
gc-669	94	15	,	,	PUNCT
gc-669	94	16	regression	regression	NOUN
gc-669	94	17	kriging	krige	VERB
gc-669	94	18	(	(	PUNCT
gc-669	94	19	rk	rk	NOUN
gc-669	94	20	)	)	PUNCT
gc-669	94	21	has	have	AUX
gc-669	94	22	been	be	AUX
gc-669	94	23	more	more	ADV
gc-669	94	24	and	and	CCONJ
gc-669	94	25	more	more	ADV
gc-669	94	26	popular	popular	ADJ
gc-669	94	27	to	to	PART
gc-669	94	28	estimate	estimate	VERB
gc-669	94	29	the	the	DET
gc-669	94	30	value(s	value(s	NOUN
gc-669	94	31	)	)	PUNCT
gc-669	94	32	of	of	ADP
gc-669	94	33	the	the	DET
gc-669	94	34	target	target	NOUN
gc-669	94	35	variable(s	variable(s	NOUN
gc-669	94	36	)	)	PUNCT
gc-669	94	37	at	at	ADP
gc-669	94	38	unvisited	unvisited	ADJ
gc-669	94	39	locations	location	NOUN
gc-669	94	40	taking	take	VERB
gc-669	94	41	spatially	spatially	ADV
gc-669	94	42	exhaustive	exhaustive	ADJ
gc-669	94	43	secondary	secondary	ADJ
gc-669	94	44	information	information	NOUN
gc-669	94	45	into	into	ADP
gc-669	94	46	account	account	NOUN
gc-669	94	47	(	(	PUNCT
gc-669	94	48	hengl	hengl	PROPN
gc-669	94	49	et	et	PROPN
gc-669	94	50	al	al	PROPN
gc-669	94	51	.	.	PROPN
gc-669	94	52	,	,	PUNCT
gc-669	94	53	2004	2004	NUM
gc-669	94	54	;	;	PUNCT
gc-669	94	55	simbahan	simbahan	PROPN
gc-669	94	56	et	et	PROPN
gc-669	94	57	al	al	PROPN
gc-669	94	58	.	.	PROPN
gc-669	94	59	,	,	PUNCT
gc-669	94	60	2006	2006	NUM
gc-669	94	61	;	;	PUNCT
gc-669	94	62	goovaerts	goovaert	NOUN
gc-669	94	63	,	,	PUNCT
gc-669	94	64	2010	2010	NUM
gc-669	94	65	,	,	PUNCT
gc-669	94	66	2011	2011	NUM
gc-669	94	67	;	;	PUNCT
gc-669	94	68	kerry	kerry	PROPN
gc-669	94	69	et	et	PROPN
gc-669	94	70	al	al	PROPN
gc-669	94	71	.	.	PROPN
gc-669	94	72	,	,	PUNCT
gc-669	94	73	2012	2012	NUM
gc-669	94	74	;	;	PUNCT
gc-669	94	75	szatmári	szatmári	PROPN
gc-669	94	76	&	&	CCONJ
gc-669	94	77	barta	barta	PROPN
gc-669	94	78	,	,	PUNCT
gc-669	94	79	2013	2013	NUM
gc-669	94	80	;	;	PUNCT
gc-669	94	81	szatmári	szatmári	PROPN
gc-669	94	82	et	et	PROPN
gc-669	94	83	al	al	PROPN
gc-669	94	84	.	.	PROPN
gc-669	94	85	,	,	PUNCT
gc-669	94	86	2013	2013	NUM
gc-669	94	87	;	;	PUNCT
gc-669	94	88	pásztor	pásztor	NOUN
gc-669	94	89	et	et	PROPN
gc-669	94	90	al	al	PROPN
gc-669	94	91	.	.	PROPN
gc-669	94	92	,	,	PUNCT
gc-669	94	93	2014a	2014a	NUM
gc-669	94	94	,	,	PUNCT
gc-669	94	95	b	b	NOUN
gc-669	94	96	)	)	PUNCT
gc-669	94	97	.	.	PUNCT
gc-669	95	1	rk	rk	NOUN
gc-669	95	2	assumes	assume	VERB
gc-669	95	3	that	that	SCONJ
gc-669	95	4	the	the	DET
gc-669	95	5	random	random	ADJ
gc-669	95	6	function	function	NOUN
gc-669	95	7	z(u	z(u	PROPN
gc-669	95	8	)	)	PUNCT
gc-669	95	9	can	can	AUX
gc-669	95	10	be	be	AUX
gc-669	95	11	deconstructed	deconstruct	VERB
gc-669	95	12	into	into	ADP
gc-669	95	13	a	a	DET
gc-669	95	14	figure	figure	NOUN
gc-669	95	15	2	2	NUM
gc-669	95	16	:	:	PUNCT
gc-669	95	17	the	the	DET
gc-669	95	18	schema	schema	NOUN
gc-669	95	19	of	of	ADP
gc-669	95	20	regression	regression	NOUN
gc-669	95	21	kriging	krige	VERB
gc-669	95	22	.	.	PUNCT
gc-669	96	1	szatmári	szatmári	PROPN
gc-669	96	2	et	et	PROPN
gc-669	96	3	al	al	PROPN
gc-669	96	4	.	.	PUNCT
gc-669	96	5	:	:	PUNCT
gc-669	97	1	testing	test	VERB
gc-669	97	2	a	a	DET
gc-669	97	3	sequential	sequential	ADJ
gc-669	97	4	stochastic	stochastic	ADJ
gc-669	97	5	simulation	simulation	NOUN
gc-669	97	6	method	method	NOUN
gc-669	97	7	based	base	VERB
gc-669	97	8	on	on	ADP
gc-669	97	9	regression	regression	NOUN
gc-669	97	10	kriging	krige	VERB
gc-669	97	11	in	in	ADP
gc-669	97	12	a	a	DET
gc-669	97	13	catchment	catchment	NOUN
gc-669	97	14	area	area	NOUN
gc-669	97	15	in	in	ADP
gc-669	97	16	southern	southern	ADJ
gc-669	97	17	hungary	hungary	PROPN
gc-669	97	18	geologia	geologia	PROPN
gc-669	97	19	croatica	croatica	PROPN
gc-669	97	20	277	277	NUM
gc-669	97	21	climate	climate	NOUN
gc-669	97	22	and	and	CCONJ
gc-669	97	23	parent	parent	NOUN
gc-669	97	24	material	material	NOUN
gc-669	97	25	can	can	AUX
gc-669	97	26	be	be	AUX
gc-669	97	27	regarded	regard	VERB
gc-669	97	28	as	as	ADP
gc-669	97	29	homogeneous	homogeneous	ADJ
gc-669	97	30	because	because	SCONJ
gc-669	97	31	of	of	ADP
gc-669	97	32	the	the	DET
gc-669	97	33	local	local	ADJ
gc-669	97	34	aspect	aspect	NOUN
gc-669	97	35	of	of	ADP
gc-669	97	36	the	the	DET
gc-669	97	37	sub	sub	NOUN
gc-669	97	38	-	-	NOUN
gc-669	97	39	catchment	catchment	NOUN
gc-669	97	40	(	(	PUNCT
gc-669	97	41	dövényi	dövényi	PROPN
gc-669	97	42	,	,	PUNCT
gc-669	97	43	2010	2010	NUM
gc-669	97	44	)	)	PUNCT
gc-669	97	45	.	.	PUNCT
gc-669	98	1	unfortunately	unfortunately	ADV
gc-669	98	2	,	,	PUNCT
gc-669	98	3	we	we	PRON
gc-669	98	4	do	do	AUX
gc-669	98	5	not	not	PART
gc-669	98	6	have	have	VERB
gc-669	98	7	any	any	DET
gc-669	98	8	information	information	NOUN
gc-669	98	9	about	about	ADP
gc-669	98	10	the	the	DET
gc-669	98	11	age	age	NOUN
gc-669	98	12	of	of	ADP
gc-669	98	13	the	the	DET
gc-669	98	14	soils	soil	NOUN
gc-669	98	15	.	.	PUNCT
gc-669	99	1	however	however	ADV
gc-669	99	2	,	,	PUNCT
gc-669	99	3	this	this	DET
gc-669	99	4	factor	factor	NOUN
gc-669	99	5	has	have	AUX
gc-669	99	6	been	be	AUX
gc-669	99	7	frequently	frequently	ADV
gc-669	99	8	omitted	omit	VERB
gc-669	99	9	in	in	ADP
gc-669	99	10	soil	soil	NOUN
gc-669	99	11	related	relate	VERB
gc-669	99	12	spatial	spatial	ADJ
gc-669	99	13	modelling	modelling	NOUN
gc-669	99	14	,	,	PUNCT
gc-669	99	15	because	because	SCONJ
gc-669	99	16	it	it	PRON
gc-669	99	17	is	be	AUX
gc-669	99	18	difficult	difficult	ADJ
gc-669	99	19	to	to	PART
gc-669	99	20	characterize	characterize	VERB
gc-669	99	21	well	well	INTJ
gc-669	99	22	(	(	PUNCT
gc-669	99	23	mcbratney	mcbratney	NOUN
gc-669	99	24	et	et	PROPN
gc-669	99	25	al	al	PROPN
gc-669	99	26	.	.	PROPN
gc-669	99	27	,	,	PUNCT
gc-669	99	28	2003	2003	NUM
gc-669	99	29	)	)	PUNCT
gc-669	99	30	.	.	PUNCT
gc-669	100	1	spatially	spatially	ADV
gc-669	100	2	exhaustive	exhaustive	ADJ
gc-669	100	3	information	information	NOUN
gc-669	100	4	on	on	ADP
gc-669	100	5	topography	topography	NOUN
gc-669	100	6	can	can	AUX
gc-669	100	7	be	be	AUX
gc-669	100	8	derived	derive	VERB
gc-669	100	9	from	from	ADP
gc-669	100	10	the	the	DET
gc-669	100	11	digital	digital	ADJ
gc-669	100	12	elevation	elevation	NOUN
gc-669	100	13	model	model	NOUN
gc-669	100	14	(	(	PUNCT
gc-669	100	15	dem	dem	NOUN
gc-669	100	16	)	)	PUNCT
gc-669	100	17	of	of	ADP
gc-669	100	18	the	the	DET
gc-669	100	19	study	study	NOUN
gc-669	100	20	area	area	NOUN
gc-669	100	21	,	,	PUNCT
gc-669	100	22	which	which	PRON
gc-669	100	23	was	be	AUX
gc-669	100	24	built	build	VERB
gc-669	100	25	up	up	ADP
gc-669	100	26	with	with	ADP
gc-669	100	27	10	10	NUM
gc-669	100	28	metre	metre	NOUN
gc-669	100	29	resolution	resolution	NOUN
gc-669	100	30	.	.	PUNCT
gc-669	101	1	the	the	DET
gc-669	101	2	first	first	ADJ
gc-669	101	3	step	step	NOUN
gc-669	101	4	in	in	ADP
gc-669	101	5	using	use	VERB
gc-669	101	6	this	this	DET
gc-669	101	7	secondary	secondary	ADJ
gc-669	101	8	information	information	NOUN
gc-669	101	9	is	be	AUX
gc-669	101	10	morphometric	morphometric	ADJ
gc-669	101	11	analysis	analysis	NOUN
gc-669	101	12	of	of	ADP
gc-669	101	13	dem	dem	PROPN
gc-669	101	14	.	.	PUNCT
gc-669	102	1	the	the	DET
gc-669	102	2	derived	derive	VERB
gc-669	102	3	,	,	PUNCT
gc-669	102	4	so	so	ADV
gc-669	102	5	called	call	VERB
gc-669	102	6	“	"	PUNCT
gc-669	102	7	morphometric	morphometric	ADJ
gc-669	102	8	”	"	PUNCT
gc-669	102	9	parameters	parameter	NOUN
gc-669	102	10	’	'	PUNCT
gc-669	102	11	grids	grid	NOUN
gc-669	102	12	are	be	AUX
gc-669	102	13	aimed	aim	VERB
gc-669	102	14	to	to	PART
gc-669	102	15	characterize	characterize	VERB
gc-669	102	16	the	the	DET
gc-669	102	17	geomorphometry	geomorphometry	NOUN
gc-669	102	18	of	of	ADP
gc-669	102	19	the	the	DET
gc-669	102	20	surface	surface	NOUN
gc-669	102	21	(	(	PUNCT
gc-669	102	22	mcbratney	mcbratney	NOUN
gc-669	102	23	et	et	PROPN
gc-669	102	24	al	al	PROPN
gc-669	102	25	.	.	PROPN
gc-669	102	26	,	,	PUNCT
gc-669	102	27	2003	2003	NUM
gc-669	102	28	)	)	PUNCT
gc-669	102	29	.	.	PUNCT
gc-669	103	1	the	the	DET
gc-669	103	2	grids	grid	NOUN
gc-669	103	3	of	of	ADP
gc-669	103	4	the	the	DET
gc-669	103	5	morphometric	morphometric	ADJ
gc-669	103	6	parameters	parameter	NOUN
gc-669	103	7	have	have	VERB
gc-669	103	8	the	the	DET
gc-669	103	9	same	same	ADJ
gc-669	103	10	resolution	resolution	NOUN
gc-669	103	11	as	as	ADP
gc-669	103	12	dem	dem	PROPN
gc-669	103	13	.	.	PUNCT
gc-669	103	14	table	table	NOUN
gc-669	103	15	2	2	NUM
gc-669	103	16	and	and	CCONJ
gc-669	103	17	figure	figure	VERB
gc-669	103	18	3	3	NUM
gc-669	103	19	summarize	summarize	VERB
gc-669	103	20	the	the	DET
gc-669	103	21	derived	derived	ADJ
gc-669	103	22	parameters	parameter	NOUN
gc-669	103	23	and	and	CCONJ
gc-669	103	24	their	their	PRON
gc-669	103	25	characteristics	characteristic	NOUN
gc-669	103	26	.	.	PUNCT
gc-669	104	1	note	note	VERB
gc-669	104	2	that	that	SCONJ
gc-669	104	3	there	there	PRON
gc-669	104	4	is	be	VERB
gc-669	104	5	a	a	DET
gc-669	104	6	significant	significant	ADJ
gc-669	104	7	relationship	relationship	NOUN
gc-669	104	8	between	between	ADP
gc-669	104	9	the	the	DET
gc-669	104	10	derived	derive	VERB
gc-669	104	11	morphometric	morphometric	ADJ
gc-669	104	12	parameters	parameter	NOUN
gc-669	104	13	,	,	PUNCT
gc-669	104	14	thus	thus	ADV
gc-669	104	15	the	the	DET
gc-669	104	16	“	"	PUNCT
gc-669	104	17	raw	raw	ADJ
gc-669	104	18	”	"	PUNCT
gc-669	104	19	grids	grid	NOUN
gc-669	104	20	of	of	ADP
gc-669	104	21	these	these	DET
gc-669	104	22	parameters	parameter	NOUN
gc-669	104	23	can	can	AUX
gc-669	104	24	not	not	PART
gc-669	104	25	be	be	AUX
gc-669	104	26	used	use	VERB
gc-669	104	27	in	in	ADP
gc-669	104	28	further	further	ADJ
gc-669	104	29	multiple	multiple	ADJ
gc-669	104	30	linear	linear	ADJ
gc-669	104	31	regression	regression	NOUN
gc-669	104	32	analysis	analysis	NOUN
gc-669	104	33	because	because	SCONJ
gc-669	104	34	of	of	ADP
gc-669	104	35	multicollinearity	multicollinearity	NOUN
gc-669	104	36	.	.	PUNCT
gc-669	105	1	to	to	PART
gc-669	105	2	avoid	avoid	VERB
gc-669	105	3	this	this	PRON
gc-669	105	4	,	,	PUNCT
gc-669	105	5	principal	principal	ADJ
gc-669	105	6	component	component	NOUN
gc-669	105	7	(	(	PUNCT
gc-669	105	8	pc	pc	NOUN
gc-669	105	9	)	)	PUNCT
gc-669	105	10	analysis	analysis	NOUN
gc-669	105	11	was	be	AUX
gc-669	105	12	performed	perform	VERB
gc-669	105	13	to	to	PART
gc-669	105	14	transform	transform	VERB
gc-669	105	15	the	the	DET
gc-669	105	16	grids	grid	NOUN
gc-669	105	17	of	of	ADP
gc-669	105	18	the	the	DET
gc-669	105	19	morphometric	morphometric	ADJ
gc-669	105	20	parameters	parameter	NOUN
gc-669	105	21	,	,	PUNCT
gc-669	105	22	because	because	SCONJ
gc-669	105	23	the	the	DET
gc-669	105	24	resultant	resultant	NOUN
gc-669	105	25	pc	pc	NOUN
gc-669	105	26	grids	grid	NOUN
gc-669	105	27	are	be	AUX
gc-669	105	28	orthogonal	orthogonal	ADJ
gc-669	105	29	and	and	CCONJ
gc-669	105	30	independent	independent	ADJ
gc-669	105	31	.	.	PUNCT
gc-669	106	1	hence	hence	ADV
gc-669	106	2	,	,	PUNCT
gc-669	106	3	their	their	PRON
gc-669	106	4	application	application	NOUN
gc-669	106	5	decreases	decrease	VERB
gc-669	106	6	the	the	DET
gc-669	106	7	effect	effect	NOUN
gc-669	106	8	of	of	ADP
gc-669	106	9	multicollinearity	multicollinearity	NOUN
gc-669	106	10	;	;	PUNCT
gc-669	106	11	moreover	moreover	ADV
gc-669	106	12	the	the	DET
gc-669	106	13	resulting	result	VERB
gc-669	106	14	pc	pc	NOUN
gc-669	106	15	grids	grid	NOUN
gc-669	106	16	preserve	preserve	VERB
gc-669	106	17	the	the	DET
gc-669	106	18	total	total	ADJ
gc-669	106	19	variation	variation	NOUN
gc-669	106	20	of	of	ADP
gc-669	106	21	the	the	DET
gc-669	106	22	morphometric	morphometric	ADJ
gc-669	106	23	parameters	parameter	NOUN
gc-669	106	24	(	(	PUNCT
gc-669	106	25	geiger	geiger	NOUN
gc-669	106	26	,	,	PUNCT
gc-669	106	27	2007	2007	NUM
gc-669	106	28	)	)	PUNCT
gc-669	106	29	.	.	PUNCT
gc-669	107	1	the	the	DET
gc-669	107	2	pc	pc	NOUN
gc-669	107	3	analysis	analysis	NOUN
gc-669	107	4	was	be	AUX
gc-669	107	5	carried	carry	VERB
gc-669	107	6	out	out	ADP
gc-669	107	7	in	in	ADP
gc-669	107	8	saga	saga	NOUN
gc-669	107	9	gis	gis	PROPN
gc-669	107	10	software	software	NOUN
gc-669	107	11	with	with	ADP
gc-669	107	12	its	its	PRON
gc-669	107	13	“	"	PUNCT
gc-669	107	14	spatial	spatial	ADJ
gc-669	107	15	and	and	CCONJ
gc-669	107	16	geostatistics	geostatistic	NOUN
gc-669	107	17	/	/	SYM
gc-669	107	18	principal	principal	ADJ
gc-669	107	19	components	component	NOUN
gc-669	107	20	”	"	PUNCT
gc-669	107	21	module	module	NOUN
gc-669	107	22	,	,	PUNCT
gc-669	107	23	which	which	PRON
gc-669	107	24	calculates	calculate	VERB
gc-669	107	25	the	the	DET
gc-669	107	26	pc	pc	NOUN
gc-669	107	27	grids	grid	NOUN
gc-669	107	28	from	from	ADP
gc-669	107	29	the	the	DET
gc-669	107	30	input	input	NOUN
gc-669	107	31	grids	grid	NOUN
gc-669	107	32	.	.	PUNCT
gc-669	108	1	the	the	DET
gc-669	108	2	resulting	result	VERB
gc-669	108	3	pc	pc	NOUN
gc-669	108	4	grids	grid	NOUN
gc-669	108	5	were	be	AUX
gc-669	108	6	used	use	VERB
gc-669	108	7	in	in	ADP
gc-669	108	8	further	further	ADJ
gc-669	108	9	multiple	multiple	ADJ
gc-669	108	10	linear	linear	ADJ
gc-669	108	11	regression	regression	NOUN
gc-669	108	12	analysis	analysis	NOUN
gc-669	108	13	.	.	PUNCT
gc-669	109	1	spatially	spatially	ADV
gc-669	109	2	exhaustive	exhaustive	ADJ
gc-669	109	3	information	information	NOUN
gc-669	109	4	on	on	ADP
gc-669	109	5	organisms	organism	NOUN
gc-669	109	6	(	(	PUNCT
gc-669	109	7	i.e.	i.e.	X
gc-669	109	8	vegetation	vegetation	NOUN
gc-669	109	9	)	)	PUNCT
gc-669	109	10	and	and	CCONJ
gc-669	109	11	human	human	ADJ
gc-669	109	12	intervention	intervention	NOUN
gc-669	109	13	can	can	AUX
gc-669	109	14	be	be	AUX
gc-669	109	15	derived	derive	VERB
gc-669	109	16	from	from	ADP
gc-669	109	17	the	the	DET
gc-669	109	18	lc	lc	NOUN
gc-669	109	19	map	map	NOUN
gc-669	109	20	of	of	ADP
gc-669	109	21	the	the	DET
gc-669	109	22	study	study	NOUN
gc-669	109	23	area	area	NOUN
gc-669	109	24	(	(	PUNCT
gc-669	109	25	fig	fig	NOUN
gc-669	109	26	.	.	PUNCT
gc-669	109	27	1	1	NUM
gc-669	109	28	)	)	PUNCT
gc-669	109	29	.	.	PUNCT
gc-669	110	1	in	in	ADP
gc-669	110	2	the	the	DET
gc-669	110	3	present	present	ADJ
gc-669	110	4	case	case	NOUN
gc-669	110	5	,	,	PUNCT
gc-669	110	6	the	the	DET
gc-669	110	7	lc	lc	NOUN
gc-669	110	8	map	map	NOUN
gc-669	110	9	was	be	AUX
gc-669	110	10	compiled	compile	VERB
gc-669	110	11	interpreting	interpret	VERB
gc-669	110	12	the	the	DET
gc-669	110	13	products	product	NOUN
gc-669	110	14	of	of	ADP
gc-669	110	15	the	the	DET
gc-669	110	16	official	official	ADJ
gc-669	110	17	aerial	aerial	ADJ
gc-669	110	18	photography	photography	NOUN
gc-669	110	19	campaign	campaign	NOUN
gc-669	110	20	of	of	ADP
gc-669	110	21	hungary	hungary	PROPN
gc-669	110	22	,	,	PUNCT
gc-669	110	23	taken	take	VERB
gc-669	110	24	in	in	ADP
gc-669	110	25	2005	2005	NUM
gc-669	110	26	.	.	PUNCT
gc-669	111	1	as	as	SCONJ
gc-669	111	2	opposed	oppose	VERB
gc-669	111	3	to	to	ADP
gc-669	111	4	the	the	DET
gc-669	111	5	morphometric	morphometric	ADJ
gc-669	111	6	parameters	parameter	NOUN
gc-669	111	7	,	,	PUNCT
gc-669	111	8	the	the	DET
gc-669	111	9	lc	lc	NOUN
gc-669	111	10	type	type	NOUN
gc-669	111	11	is	be	AUX
gc-669	111	12	a	a	DET
gc-669	111	13	categorical	categorical	ADJ
gc-669	111	14	variable	variable	NOUN
gc-669	111	15	.	.	PUNCT
gc-669	112	1	for	for	ADP
gc-669	112	2	the	the	DET
gc-669	112	3	sake	sake	NOUN
gc-669	112	4	of	of	ADP
gc-669	112	5	the	the	DET
gc-669	112	6	application	application	NOUN
gc-669	112	7	of	of	ADP
gc-669	112	8	rk	rk	PRON
gc-669	112	9	,	,	PUNCT
gc-669	112	10	each	each	DET
gc-669	112	11	lc	lc	NOUN
gc-669	112	12	type	type	NOUN
gc-669	112	13	was	be	AUX
gc-669	112	14	converted	convert	VERB
gc-669	112	15	into	into	ADP
gc-669	112	16	an	an	DET
gc-669	112	17	indicator	indicator	NOUN
gc-669	112	18	variable	variable	NOUN
gc-669	112	19	(	(	PUNCT
gc-669	112	20	iv	iv	NUM
gc-669	112	21	)	)	PUNCT
gc-669	112	22	.	.	PUNCT
gc-669	113	1	therefore	therefore	ADV
gc-669	113	2	a	a	DET
gc-669	113	3	grid	grid	NOUN
gc-669	113	4	map	map	NOUN
gc-669	113	5	was	be	AUX
gc-669	113	6	generated	generate	VERB
gc-669	113	7	(	(	PUNCT
gc-669	113	8	with	with	ADP
gc-669	113	9	10	10	NUM
gc-669	113	10	metre	metre	NOUN
gc-669	113	11	resolution	resolution	NOUN
gc-669	113	12	)	)	PUNCT
gc-669	113	13	for	for	ADP
gc-669	113	14	each	each	DET
gc-669	113	15	lc	lc	NOUN
gc-669	113	16	type	type	NOUN
gc-669	113	17	with	with	ADP
gc-669	113	18	a	a	DET
gc-669	113	19	value	value	NOUN
gc-669	113	20	domain	domain	NOUN
gc-669	113	21	showing	show	VERB
gc-669	113	22	1	1	NUM
gc-669	113	23	at	at	ADP
gc-669	113	24	the	the	DET
gc-669	113	25	locations	location	NOUN
gc-669	113	26	of	of	ADP
gc-669	113	27	the	the	DET
gc-669	113	28	given	give	VERB
gc-669	113	29	lc	lc	NOUN
gc-669	113	30	type	type	NOUN
gc-669	113	31	and	and	CCONJ
gc-669	113	32	showing	show	VERB
gc-669	113	33	0	0	PUNCT
gc-669	113	34	for	for	ADP
gc-669	113	35	all	all	DET
gc-669	113	36	other	other	ADJ
gc-669	113	37	locations	location	NOUN
gc-669	113	38	.	.	PUNCT
gc-669	114	1	the	the	DET
gc-669	114	2	resulting	result	VERB
gc-669	114	3	ivs	ivs	PROPN
gc-669	114	4	were	be	AUX
gc-669	114	5	used	use	VERB
gc-669	114	6	in	in	ADP
gc-669	114	7	further	further	ADJ
gc-669	114	8	multiple	multiple	ADJ
gc-669	114	9	linear	linear	ADJ
gc-669	114	10	regression	regression	NOUN
gc-669	114	11	analysis	analysis	NOUN
gc-669	114	12	.	.	PUNCT
gc-669	115	1	figure	figure	NOUN
gc-669	115	2	3	3	NUM
gc-669	115	3	:	:	PUNCT
gc-669	115	4	the	the	DET
gc-669	115	5	maps	map	NOUN
gc-669	115	6	of	of	ADP
gc-669	115	7	the	the	DET
gc-669	115	8	derived	derive	VERB
gc-669	115	9	morphometric	morphometric	ADJ
gc-669	115	10	parameters	parameter	NOUN
gc-669	115	11	.	.	PUNCT
gc-669	116	1	table	table	NOUN
gc-669	116	2	2	2	NUM
gc-669	116	3	:	:	PUNCT
gc-669	116	4	the	the	DET
gc-669	116	5	derived	derive	VERB
gc-669	116	6	morphometric	morphometric	ADJ
gc-669	116	7	parameters	parameter	NOUN
gc-669	116	8	and	and	CCONJ
gc-669	116	9	their	their	PRON
gc-669	116	10	characteristics	characteristic	NOUN
gc-669	116	11	.	.	PUNCT
gc-669	117	1	morphometric	morphometric	ADJ
gc-669	117	2	parameters	parameter	NOUN
gc-669	117	3	characteristics	characteristic	NOUN
gc-669	117	4	altitude	altitude	NOUN
gc-669	117	5	(	(	PUNCT
gc-669	117	6	meter	meter	NOUN
gc-669	117	7	)	)	PUNCT
gc-669	117	8	the	the	DET
gc-669	117	9	vertical	vertical	ADJ
gc-669	117	10	distance	distance	NOUN
gc-669	117	11	between	between	ADP
gc-669	117	12	the	the	DET
gc-669	117	13	surface	surface	NOUN
gc-669	117	14	and	and	CCONJ
gc-669	117	15	the	the	DET
gc-669	117	16	baltic	baltic	PROPN
gc-669	117	17	sea	sea	NOUN
gc-669	117	18	level	level	NOUN
gc-669	117	19	slope	slope	NOUN
gc-669	117	20	(	(	PUNCT
gc-669	117	21	%	%	INTJ
gc-669	117	22	)	)	PUNCT
gc-669	117	23	the	the	DET
gc-669	117	24	rise	rise	NOUN
gc-669	117	25	or	or	CCONJ
gc-669	117	26	fall	fall	NOUN
gc-669	117	27	of	of	ADP
gc-669	117	28	the	the	DET
gc-669	117	29	surface	surface	NOUN
gc-669	117	30	in	in	ADP
gc-669	117	31	percent	percent	NOUN
gc-669	117	32	aspect	aspect	NOUN
gc-669	117	33	or	or	CCONJ
gc-669	117	34	slope	slope	NOUN
gc-669	117	35	exposure	exposure	NOUN
gc-669	117	36	(	(	PUNCT
gc-669	117	37	degree	degree	NOUN
gc-669	117	38	)	)	PUNCT
gc-669	117	39	the	the	DET
gc-669	117	40	compass	compass	ADJ
gc-669	117	41	direction	direction	NOUN
gc-669	117	42	that	that	PRON
gc-669	117	43	a	a	DET
gc-669	117	44	slope	slope	NOUN
gc-669	117	45	faces	face	VERB
gc-669	117	46	plan	plan	NOUN
gc-669	117	47	curvature	curvature	NOUN
gc-669	117	48	(	(	PUNCT
gc-669	117	49	dimensionless	dimensionless	NOUN
gc-669	117	50	)	)	PUNCT
gc-669	117	51	the	the	DET
gc-669	117	52	curvature	curvature	NOUN
gc-669	117	53	of	of	ADP
gc-669	117	54	the	the	DET
gc-669	117	55	surface	surface	NOUN
gc-669	117	56	perpendicular	perpendicular	NOUN
gc-669	117	57	to	to	ADP
gc-669	117	58	the	the	DET
gc-669	117	59	slope	slope	NOUN
gc-669	117	60	direction	direction	NOUN
gc-669	117	61	profile	profile	NOUN
gc-669	117	62	curvature	curvature	NOUN
gc-669	117	63	(	(	PUNCT
gc-669	117	64	dimensionless	dimensionless	NOUN
gc-669	117	65	)	)	PUNCT
gc-669	117	66	the	the	DET
gc-669	117	67	curvature	curvature	NOUN
gc-669	117	68	of	of	ADP
gc-669	117	69	the	the	DET
gc-669	117	70	surface	surface	NOUN
gc-669	117	71	in	in	ADP
gc-669	117	72	the	the	DET
gc-669	117	73	direction	direction	NOUN
gc-669	117	74	of	of	ADP
gc-669	117	75	the	the	DET
gc-669	117	76	slope	slope	NOUN
gc-669	117	77	ls	ls	ADJ
gc-669	117	78	(	(	PUNCT
gc-669	117	79	or	or	CCONJ
gc-669	117	80	topographic	topographic	ADJ
gc-669	117	81	)	)	PUNCT
gc-669	117	82	factor	factor	NOUN
gc-669	117	83	(	(	PUNCT
gc-669	117	84	dimensionless	dimensionless	NOUN
gc-669	117	85	)	)	PUNCT
gc-669	117	86	quantified	quantify	VERB
gc-669	117	87	effects	effect	NOUN
gc-669	117	88	of	of	ADP
gc-669	117	89	slope	slope	NOUN
gc-669	117	90	and	and	CCONJ
gc-669	117	91	slope	slope	NOUN
gc-669	117	92	length	length	NOUN
gc-669	117	93	on	on	ADP
gc-669	117	94	water	water	NOUN
gc-669	117	95	erosion	erosion	NOUN
gc-669	117	96	(	(	PUNCT
gc-669	117	97	wischmeier	wischmeier	PROPN
gc-669	117	98	&	&	CCONJ
gc-669	117	99	smith	smith	PROPN
gc-669	117	100	,	,	PUNCT
gc-669	117	101	1978	1978	NUM
gc-669	117	102	)	)	PUNCT
gc-669	117	103	topographic	topographic	ADJ
gc-669	117	104	wetness	wetness	PROPN
gc-669	117	105	index	index	NOUN
gc-669	117	106	(	(	PUNCT
gc-669	117	107	dimensionless	dimensionless	NOUN
gc-669	117	108	)	)	PUNCT
gc-669	117	109	quantified	quantify	VERB
gc-669	117	110	control	control	NOUN
gc-669	117	111	of	of	ADP
gc-669	117	112	local	local	ADJ
gc-669	117	113	topography	topography	NOUN
gc-669	117	114	on	on	ADP
gc-669	117	115	hydrological	hydrological	ADJ
gc-669	117	116	processes	process	NOUN
gc-669	117	117	,	,	PUNCT
gc-669	117	118	and	and	CCONJ
gc-669	117	119	indicator	indicator	NOUN
gc-669	117	120	of	of	ADP
gc-669	117	121	the	the	DET
gc-669	117	122	spatial	spatial	ADJ
gc-669	117	123	distribution	distribution	NOUN
gc-669	117	124	of	of	ADP
gc-669	117	125	soil	soil	NOUN
gc-669	117	126	moisture	moisture	NOUN
gc-669	117	127	and	and	CCONJ
gc-669	117	128	surface	surface	NOUN
gc-669	117	129	saturation	saturation	NOUN
gc-669	117	130	geologia	geologia	NOUN
gc-669	117	131	croatica	croatica	PROPN
gc-669	117	132	68/3geologia	68/3geologia	NUM
gc-669	117	133	croatica	croatica	PROPN
gc-669	117	134	278	278	NUM
gc-669	117	135	3.4	3.4	NUM
gc-669	117	136	.	.	PUNCT
gc-669	118	1	theory	theory	NOUN
gc-669	118	2	of	of	ADP
gc-669	118	3	sequential	sequential	ADJ
gc-669	118	4	stochastic	stochastic	ADJ
gc-669	118	5	simulation	simulation	NOUN
gc-669	118	6	based	base	VERB
gc-669	118	7	on	on	ADP
gc-669	118	8	regression	regression	NOUN
gc-669	118	9	kriging	krige	VERB
gc-669	118	10	(	(	PUNCT
gc-669	118	11	sssrk	sssrk	NOUN
gc-669	118	12	)	)	PUNCT
gc-669	118	13	during	during	ADP
gc-669	118	14	previous	previous	ADJ
gc-669	118	15	decades	decade	NOUN
gc-669	118	16	,	,	PUNCT
gc-669	118	17	stochastic	stochastic	ADJ
gc-669	118	18	simulations	simulation	NOUN
gc-669	118	19	became	become	VERB
gc-669	118	20	wide	wide	ADJ
gc-669	118	21	spread	spread	NOUN
gc-669	118	22	(	(	PUNCT
gc-669	118	23	goovaerts	goovaert	NOUN
gc-669	118	24	,	,	PUNCT
gc-669	118	25	1997	1997	NUM
gc-669	118	26	;	;	PUNCT
gc-669	118	27	deutsch	deutsch	PROPN
gc-669	118	28	&	&	CCONJ
gc-669	118	29	journel	journel	PROPN
gc-669	118	30	,	,	PUNCT
gc-669	118	31	1998	1998	NUM
gc-669	118	32	;	;	PUNCT
gc-669	118	33	geiger	geiger	PROPN
gc-669	118	34	,	,	PUNCT
gc-669	118	35	2006	2006	NUM
gc-669	118	36	;	;	PUNCT
gc-669	118	37	malvić	malvić	NOUN
gc-669	118	38	,	,	PUNCT
gc-669	118	39	2008	2008	NUM
gc-669	118	40	;	;	PUNCT
gc-669	118	41	novak	novak	PROPN
gc-669	118	42	zelenika	zelenika	PROPN
gc-669	118	43	&	&	CCONJ
gc-669	118	44	malvić	malvić	PROPN
gc-669	118	45	,	,	PUNCT
gc-669	118	46	2011	2011	NUM
gc-669	118	47	;	;	PUNCT
gc-669	118	48	geiger	geiger	NOUN
gc-669	118	49	,	,	PUNCT
gc-669	118	50	2012	2012	NUM
gc-669	118	51	;	;	PUNCT
gc-669	118	52	malvić	malvić	VERB
gc-669	118	53	et	et	PROPN
gc-669	118	54	al	al	PROPN
gc-669	118	55	.	.	PROPN
gc-669	118	56	,	,	PUNCT
gc-669	118	57	2012	2012	NUM
gc-669	118	58	;	;	PUNCT
gc-669	118	59	novak	novak	PROPN
gc-669	118	60	zelenika	zelenika	X
gc-669	118	61	et	et	PROPN
gc-669	118	62	al	al	PROPN
gc-669	118	63	.	.	PROPN
gc-669	118	64	,	,	PUNCT
gc-669	118	65	2012	2012	NUM
gc-669	118	66	)	)	PUNCT
gc-669	118	67	.	.	PUNCT
gc-669	119	1	these	these	DET
gc-669	119	2	simulations	simulation	NOUN
gc-669	119	3	are	be	AUX
gc-669	119	4	methods	method	NOUN
gc-669	119	5	in	in	ADP
gc-669	119	6	which	which	PRON
gc-669	119	7	alternative	alternative	ADJ
gc-669	119	8	and	and	CCONJ
gc-669	119	9	equally	equally	ADV
gc-669	119	10	probable	probable	ADJ
gc-669	119	11	high	high	ADJ
gc-669	119	12	resolution	resolution	NOUN
gc-669	119	13	models	model	NOUN
gc-669	119	14	of	of	ADP
gc-669	119	15	spatial	spatial	ADJ
gc-669	119	16	distribution	distribution	NOUN
gc-669	119	17	of	of	ADP
gc-669	119	18	z(u	z(u	PROPN
gc-669	119	19	)	)	PUNCT
gc-669	119	20	are	be	AUX
gc-669	119	21	generated	generate	VERB
gc-669	119	22	(	(	PUNCT
gc-669	119	23	deutsch	deutsch	PROPN
gc-669	119	24	&	&	CCONJ
gc-669	119	25	journel	journel	PROPN
gc-669	119	26	,	,	PUNCT
gc-669	119	27	1998	1998	NUM
gc-669	119	28	)	)	PUNCT
gc-669	119	29	.	.	PUNCT
gc-669	120	1	if	if	SCONJ
gc-669	120	2	the	the	DET
gc-669	120	3	realizations	realization	NOUN
gc-669	120	4	(	(	PUNCT
gc-669	120	5	also	also	ADV
gc-669	120	6	referred	refer	VERB
gc-669	120	7	to	to	ADP
gc-669	120	8	as	as	ADP
gc-669	120	9	stochastic	stochastic	ADJ
gc-669	120	10	images	image	NOUN
gc-669	120	11	)	)	PUNCT
gc-669	120	12	from	from	ADP
gc-669	120	13	them	they	PRON
gc-669	120	14	honour	honour	VERB
gc-669	120	15	the	the	DET
gc-669	120	16	input	input	NOUN
gc-669	120	17	data	datum	NOUN
gc-669	120	18	,	,	PUNCT
gc-669	120	19	then	then	ADV
gc-669	120	20	the	the	DET
gc-669	120	21	simulation	simulation	NOUN
gc-669	120	22	is	be	AUX
gc-669	120	23	called	call	VERB
gc-669	120	24	“	"	PUNCT
gc-669	120	25	conditional	conditional	ADJ
gc-669	120	26	”	"	PUNCT
gc-669	120	27	(	(	PUNCT
gc-669	120	28	deutsch	deutsch	PROPN
gc-669	120	29	&	&	CCONJ
gc-669	120	30	journel	journel	PROPN
gc-669	120	31	,	,	PUNCT
gc-669	120	32	1998	1998	NUM
gc-669	120	33	)	)	PUNCT
gc-669	120	34	.	.	PUNCT
gc-669	121	1	according	accord	VERB
gc-669	121	2	to	to	ADP
gc-669	121	3	goovaerts	goovaerts	PROPN
gc-669	121	4	(	(	PUNCT
gc-669	121	5	1997	1997	NUM
gc-669	121	6	)	)	PUNCT
gc-669	121	7	,	,	PUNCT
gc-669	121	8	let	let	VERB
gc-669	121	9	{	{	PUNCT
gc-669	121	10	z(uj	z(uj	NOUN
gc-669	121	11	)	)	PUNCT
gc-669	121	12	,	,	PUNCT
gc-669	121	13	j=1	j=1	NOUN
gc-669	121	14	,	,	PUNCT
gc-669	121	15	…	…	PUNCT
gc-669	121	16	,	,	PUNCT
gc-669	121	17	n	n	CCONJ
gc-669	121	18	}	}	PUNCT
gc-669	121	19	be	be	AUX
gc-669	121	20	a	a	DET
gc-669	121	21	set	set	NOUN
gc-669	121	22	of	of	ADP
gc-669	121	23	random	random	ADJ
gc-669	121	24	variables	variable	NOUN
gc-669	121	25	defined	define	VERB
gc-669	121	26	at	at	ADP
gc-669	121	27	n	n	PROPN
gc-669	121	28	locations	location	NOUN
gc-669	121	29	uj	uj	VERB
gc-669	121	30	within	within	ADP
gc-669	121	31	the	the	DET
gc-669	121	32	study	study	NOUN
gc-669	121	33	area	area	NOUN
gc-669	121	34	.	.	PUNCT
gc-669	122	1	the	the	DET
gc-669	122	2	objective	objective	NOUN
gc-669	122	3	is	be	AUX
gc-669	122	4	to	to	PART
gc-669	122	5	generate	generate	VERB
gc-669	122	6	several	several	ADJ
gc-669	122	7	joint	joint	ADJ
gc-669	122	8	realizations	realization	NOUN
gc-669	122	9	of	of	ADP
gc-669	122	10	these	these	DET
gc-669	122	11	n	n	DET
gc-669	122	12	random	random	ADJ
gc-669	122	13	variables	variable	NOUN
gc-669	122	14	conditional	conditional	ADJ
gc-669	122	15	to	to	ADP
gc-669	122	16	the	the	DET
gc-669	122	17	dataset	dataset	NOUN
gc-669	122	18	.	.	PUNCT
gc-669	123	1	the	the	DET
gc-669	123	2	corresponding	corresponding	ADJ
gc-669	123	3	n	n	CCONJ
gc-669	123	4	-	-	PUNCT
gc-669	123	5	point	point	NOUN
gc-669	123	6	(	(	PUNCT
gc-669	123	7	or	or	CCONJ
gc-669	123	8	n	n	CCONJ
gc-669	123	9	-	-	PUNCT
gc-669	123	10	variate	variate	NOUN
gc-669	123	11	)	)	PUNCT
gc-669	123	12	conditional	conditional	ADJ
gc-669	123	13	cumulative	cumulative	ADJ
gc-669	123	14	distribution	distribution	NOUN
gc-669	123	15	function	function	NOUN
gc-669	123	16	(	(	PUNCT
gc-669	123	17	ccdf	ccdf	NOUN
gc-669	123	18	)	)	PUNCT
gc-669	123	19	is	be	AUX
gc-669	123	20	:	:	PUNCT
gc-669	123	21	1	1	NUM
gc-669	123	22	1	1	NUM
gc-669	123	23	1	1	NUM
gc-669	123	24	1	1	NUM
gc-669	123	25	(	(	PUNCT
gc-669	123	26	,	,	PUNCT
gc-669	123	27	...	...	PUNCT
gc-669	123	28	,	,	PUNCT
gc-669	123	29	;	;	PUNCT
gc-669	123	30	,	,	PUNCT
gc-669	123	31	...	...	PUNCT
gc-669	123	32	,	,	PUNCT
gc-669	123	33	|	|	ADV
gc-669	123	34	(	(	PUNCT
gc-669	123	35	)	)	PUNCT
gc-669	123	36	)	)	PUNCT
gc-669	123	37	{	{	PUNCT
gc-669	123	38	(	(	PUNCT
gc-669	123	39	)	)	PUNCT
gc-669	123	40	,	,	PUNCT
gc-669	123	41	...	...	PUNCT
gc-669	123	42	,	,	PUNCT
gc-669	123	43	(	(	PUNCT
gc-669	123	44	)	)	PUNCT
gc-669	123	45	|	|	ADV
gc-669	123	46	(	(	PUNCT
gc-669	123	47	)	)	PUNCT
gc-669	123	48	}	}	PUNCT
gc-669	123	49	n	n	CCONJ
gc-669	123	50	n	n	CCONJ
gc-669	123	51	n	n	CCONJ
gc-669	123	52	nf	nf	NOUN
gc-669	123	53	z	z	PROPN
gc-669	123	54	z	z	NOUN
gc-669	123	55	n	n	PROPN
gc-669	123	56	p	p	PROPN
gc-669	123	57	z	z	PROPN
gc-669	123	58	z	z	PROPN
gc-669	123	59	z	z	PROPN
gc-669	123	60	z	z	PROPN
gc-669	123	61	n=	n=	ADJ
gc-669	123	62	≤	≤	PROPN
gc-669	124	1	≤u	≤u	PROPN
gc-669	124	2	u	u	PROPN
gc-669	124	3	u	u	NOUN
gc-669	124	4	u	u	NOUN
gc-669	124	5	(	(	PUNCT
gc-669	124	6	eq	eq	NOUN
gc-669	124	7	.	.	NOUN
gc-669	124	8	3	3	NUM
gc-669	124	9	)	)	PUNCT
gc-669	124	10	however	however	ADV
gc-669	124	11	,	,	PUNCT
gc-669	124	12	this	this	DET
gc-669	124	13	n	n	CCONJ
gc-669	124	14	-	-	PUNCT
gc-669	124	15	point	point	NOUN
gc-669	124	16	ccdf	ccdf	NOUN
gc-669	124	17	can	can	AUX
gc-669	124	18	be	be	AUX
gc-669	124	19	written	write	VERB
gc-669	124	20	as	as	ADP
gc-669	124	21	the	the	DET
gc-669	124	22	pro	pro	ADJ
gc-669	124	23	duct	duct	NOUN
gc-669	124	24	of	of	ADP
gc-669	124	25	n	n	DET
gc-669	124	26	one	one	NUM
gc-669	124	27	-	-	PUNCT
gc-669	124	28	point	point	NOUN
gc-669	124	29	ccdf	ccdf	NOUN
gc-669	124	30	:	:	PUNCT
gc-669	124	31	1	1	NUM
gc-669	124	32	1	1	NUM
gc-669	124	33	1	1	NUM
gc-669	124	34	1	1	NUM
gc-669	124	35	2	2	NUM
gc-669	124	36	2	2	NUM
gc-669	124	37	1	1	NUM
gc-669	124	38	1	1	NUM
gc-669	124	39	(	(	PUNCT
gc-669	124	40	,	,	PUNCT
gc-669	124	41	...	...	PUNCT
gc-669	124	42	,	,	PUNCT
gc-669	124	43	;	;	PUNCT
gc-669	124	44	,	,	PUNCT
gc-669	124	45	...	...	PUNCT
gc-669	124	46	,	,	PUNCT
gc-669	124	47	|	|	ADV
gc-669	124	48	(	(	PUNCT
gc-669	124	49	)	)	PUNCT
gc-669	124	50	)	)	PUNCT
gc-669	125	1	(	(	PUNCT
gc-669	125	2	;	;	PUNCT
gc-669	125	3	|	|	CCONJ
gc-669	125	4	(	(	PUNCT
gc-669	125	5	1	1	NUM
gc-669	125	6	)	)	PUNCT
gc-669	125	7	)	)	PUNCT
gc-669	126	1	(	(	PUNCT
gc-669	126	2	;	;	PUNCT
gc-669	126	3	|	|	CCONJ
gc-669	126	4	(	(	PUNCT
gc-669	126	5	2	2	NUM
gc-669	126	6	)	)	PUNCT
gc-669	126	7	)	)	PUNCT
gc-669	126	8	...	...	PUNCT
gc-669	127	1	(	(	PUNCT
gc-669	127	2	;	;	PUNCT
gc-669	127	3	|	|	CCONJ
gc-669	127	4	(	(	PUNCT
gc-669	127	5	1	1	NUM
gc-669	127	6	)	)	PUNCT
gc-669	127	7	)	)	PUNCT
gc-669	128	1	(	(	PUNCT
gc-669	128	2	;	;	PUNCT
gc-669	128	3	|	|	ADV
gc-669	128	4	(	(	PUNCT
gc-669	128	5	)	)	PUNCT
gc-669	128	6	)	)	PUNCT
gc-669	128	7	n	n	CCONJ
gc-669	128	8	n	n	CCONJ
gc-669	128	9	n	n	CCONJ
gc-669	128	10	n	n	CCONJ
gc-669	128	11	n	n	CCONJ
gc-669	128	12	n	n	NOUN
gc-669	128	13	f	f	PROPN
gc-669	128	14	z	z	PROPN
gc-669	128	15	z	z	PROPN
gc-669	128	16	n	n	PROPN
gc-669	128	17	f	f	PROPN
gc-669	128	18	u	u	PROPN
gc-669	128	19	z	z	PROPN
gc-669	128	20	n	n	PROPN
gc-669	128	21	n	n	PROPN
gc-669	128	22	f	f	NOUN
gc-669	128	23	u	u	PROPN
gc-669	128	24	z	z	PROPN
gc-669	128	25	n	n	PROPN
gc-669	128	26	n	n	PROPN
gc-669	128	27	f	f	NOUN
gc-669	128	28	u	u	PROPN
gc-669	128	29	z	z	PROPN
gc-669	128	30	n	n	PROPN
gc-669	128	31	f	f	PROPN
gc-669	128	32	u	u	PROPN
gc-669	128	33	z	z	PROPN
gc-669	128	34	n	n	NOUN
gc-669	128	35	−	−	PROPN
gc-669	128	36	−	−	PROPN
gc-669	128	37	=	=	SYM
gc-669	129	1	+	+	NUM
gc-669	129	2	−	−	PROPN
gc-669	129	3	⋅	⋅	PROPN
gc-669	129	4	+	+	CCONJ
gc-669	129	5	−	−	PROPN
gc-669	129	6	⋅	⋅	PROPN
gc-669	129	7	⋅	⋅	PROPN
gc-669	129	8	+	+	CCONJ
gc-669	129	9	⋅	⋅	PROPN
gc-669	129	10	u	u	PROPN
gc-669	129	11	u	u	NOUN
gc-669	129	12	(	(	PUNCT
gc-669	129	13	eq	eq	NOUN
gc-669	129	14	.	.	NOUN
gc-669	129	15	4	4	NUM
gc-669	129	16	)	)	PUNCT
gc-669	129	17	where	where	SCONJ
gc-669	129	18	the	the	DET
gc-669	129	19	one	one	NUM
gc-669	129	20	-	-	PUNCT
gc-669	129	21	point	point	NOUN
gc-669	129	22	ccdfs	ccdfs	NOUN
gc-669	129	23	are	be	AUX
gc-669	129	24	conditional	conditional	ADJ
gc-669	129	25	to	to	ADP
gc-669	129	26	the	the	DET
gc-669	129	27	dataset	dataset	NOUN
gc-669	129	28	and	and	CCONJ
gc-669	129	29	all	all	DET
gc-669	129	30	previously	previously	ADV
gc-669	129	31	simulated	simulate	VERB
gc-669	129	32	values	value	NOUN
gc-669	129	33	.	.	PUNCT
gc-669	130	1	based	base	VERB
gc-669	130	2	on	on	ADP
gc-669	130	3	this	this	PRON
gc-669	130	4	,	,	PUNCT
gc-669	130	5	a	a	DET
gc-669	130	6	stochastic	stochastic	ADJ
gc-669	130	7	image	image	NOUN
gc-669	130	8	can	can	AUX
gc-669	130	9	be	be	AUX
gc-669	130	10	generated	generate	VERB
gc-669	130	11	in	in	ADP
gc-669	130	12	n	n	CCONJ
gc-669	130	13	successive	successive	ADJ
gc-669	130	14	steps	step	NOUN
gc-669	130	15	(	(	PUNCT
gc-669	130	16	goovaerts	goovaert	NOUN
gc-669	130	17	,	,	PUNCT
gc-669	130	18	1997	1997	NUM
gc-669	130	19	;	;	PUNCT
gc-669	130	20	geiger	geiger	NOUN
gc-669	130	21	,	,	PUNCT
gc-669	130	22	2006	2006	NUM
gc-669	130	23	):	):	PUNCT
gc-669	130	24	1	1	NUM
gc-669	130	25	.	.	X
gc-669	130	26	model	model	VERB
gc-669	130	27	the	the	DET
gc-669	130	28	ccdf	ccdf	NOUN
gc-669	130	29	at	at	ADP
gc-669	130	30	the	the	DET
gc-669	130	31	first	first	ADJ
gc-669	130	32	location	location	NOUN
gc-669	130	33	u1	u1	NOUN
gc-669	130	34	conditional	conditional	ADJ
gc-669	130	35	to	to	ADP
gc-669	130	36	the	the	DET
gc-669	130	37	dataset	dataset	NOUN
gc-669	130	38	.	.	PUNCT
gc-669	131	1	2	2	X
gc-669	131	2	.	.	X
gc-669	131	3	draw	draw	VERB
gc-669	131	4	a	a	DET
gc-669	131	5	realization	realization	NOUN
gc-669	131	6	from	from	ADP
gc-669	131	7	this	this	DET
gc-669	131	8	ccdf	ccdf	NOUN
gc-669	131	9	,	,	PUNCT
gc-669	131	10	which	which	DET
gc-669	131	11	realization	realization	NOUN
gc-669	131	12	becomes	become	VERB
gc-669	131	13	a	a	DET
gc-669	131	14	conditioning	conditioning	NOUN
gc-669	131	15	datum	datum	NOUN
gc-669	131	16	for	for	ADP
gc-669	131	17	all	all	DET
gc-669	131	18	subsequent	subsequent	ADJ
gc-669	131	19	drawings	drawing	NOUN
gc-669	131	20	.	.	PUNCT
gc-669	132	1	3	3	X
gc-669	132	2	.	.	X
gc-669	132	3	model	model	VERB
gc-669	132	4	the	the	DET
gc-669	132	5	ccdf	ccdf	NOUN
gc-669	132	6	of	of	ADP
gc-669	132	7	z(ui	z(ui	NOUN
gc-669	132	8	)	)	PUNCT
gc-669	132	9	at	at	ADP
gc-669	132	10	the	the	DET
gc-669	132	11	ith	ith	PROPN
gc-669	132	12	location	location	NOUN
gc-669	132	13	(	(	PUNCT
gc-669	132	14	ui	ui	NOUN
gc-669	132	15	)	)	PUNCT
gc-669	132	16	conditional	conditional	ADJ
gc-669	132	17	to	to	ADP
gc-669	132	18	the	the	DET
gc-669	132	19	dataset	dataset	NOUN
gc-669	132	20	and	and	CCONJ
gc-669	132	21	all	all	PRON
gc-669	132	22	(	(	PUNCT
gc-669	132	23	i-1	i-1	NUM
gc-669	132	24	)	)	PUNCT
gc-669	132	25	previously	previously	ADV
gc-669	132	26	simulated	simulate	VERB
gc-669	132	27	values	value	NOUN
gc-669	132	28	.	.	PUNCT
gc-669	133	1	4	4	X
gc-669	133	2	.	.	X
gc-669	133	3	draw	draw	VERB
gc-669	133	4	a	a	DET
gc-669	133	5	realization	realization	NOUN
gc-669	133	6	from	from	ADP
gc-669	133	7	this	this	DET
gc-669	133	8	ccdf	ccdf	NOUN
gc-669	133	9	,	,	PUNCT
gc-669	133	10	which	which	DET
gc-669	133	11	realization	realization	NOUN
gc-669	133	12	becomes	become	VERB
gc-669	133	13	a	a	DET
gc-669	133	14	conditioning	conditioning	NOUN
gc-669	133	15	datum	datum	NOUN
gc-669	133	16	for	for	ADP
gc-669	133	17	all	all	DET
gc-669	133	18	subsequent	subsequent	ADJ
gc-669	133	19	drawings	drawing	NOUN
gc-669	133	20	.	.	PUNCT
gc-669	134	1	5	5	X
gc-669	134	2	.	.	X
gc-669	134	3	repeat	repeat	VERB
gc-669	134	4	the	the	DET
gc-669	134	5	two	two	NUM
gc-669	134	6	previous	previous	ADJ
gc-669	134	7	steps	step	NOUN
gc-669	134	8	until	until	SCONJ
gc-669	134	9	all	all	DET
gc-669	134	10	n	n	PRON
gc-669	134	11	locations	location	NOUN
gc-669	134	12	are	be	AUX
gc-669	134	13	visited	visit	VERB
gc-669	134	14	and	and	CCONJ
gc-669	134	15	each	each	PRON
gc-669	134	16	has	have	AUX
gc-669	134	17	been	be	AUX
gc-669	134	18	given	give	VERB
gc-669	134	19	a	a	DET
gc-669	134	20	simulated	simulated	ADJ
gc-669	134	21	value	value	NOUN
gc-669	134	22	.	.	PUNCT
gc-669	135	1	the	the	DET
gc-669	135	2	resulting	result	VERB
gc-669	135	3	set	set	NOUN
gc-669	135	4	of	of	ADP
gc-669	135	5	simulated	simulated	ADJ
gc-669	135	6	values	value	NOUN
gc-669	135	7	represents	represent	VERB
gc-669	135	8	one	one	NUM
gc-669	135	9	realization	realization	NOUN
gc-669	135	10	of	of	ADP
gc-669	135	11	the	the	DET
gc-669	135	12	random	random	ADJ
gc-669	135	13	function	function	NOUN
gc-669	135	14	over	over	ADP
gc-669	135	15	the	the	DET
gc-669	135	16	n	n	NOUN
gc-669	135	17	locations	location	NOUN
gc-669	135	18	.	.	PUNCT
gc-669	136	1	other	other	ADJ
gc-669	136	2	figure	figure	NOUN
gc-669	136	3	4	4	NUM
gc-669	136	4	:	:	PUNCT
gc-669	136	5	a	a	DET
gc-669	136	6	schema	schema	NOUN
gc-669	136	7	of	of	ADP
gc-669	136	8	sequential	sequential	ADJ
gc-669	136	9	stochastic	stochastic	ADJ
gc-669	136	10	simulation	simulation	NOUN
gc-669	136	11	based	base	VERB
gc-669	136	12	on	on	ADP
gc-669	136	13	regression	regression	NOUN
gc-669	136	14	kriging	krige	VERB
gc-669	136	15	.	.	PUNCT
gc-669	137	1	szatmári	szatmári	PROPN
gc-669	137	2	et	et	PROPN
gc-669	137	3	al	al	PROPN
gc-669	137	4	.	.	PUNCT
gc-669	137	5	:	:	PUNCT
gc-669	138	1	testing	test	VERB
gc-669	138	2	a	a	DET
gc-669	138	3	sequential	sequential	ADJ
gc-669	138	4	stochastic	stochastic	ADJ
gc-669	138	5	simulation	simulation	NOUN
gc-669	138	6	method	method	NOUN
gc-669	138	7	based	base	VERB
gc-669	138	8	on	on	ADP
gc-669	138	9	regression	regression	NOUN
gc-669	138	10	kriging	krige	VERB
gc-669	138	11	in	in	ADP
gc-669	138	12	a	a	DET
gc-669	138	13	catchment	catchment	NOUN
gc-669	138	14	area	area	NOUN
gc-669	138	15	in	in	ADP
gc-669	138	16	southern	southern	ADJ
gc-669	138	17	hungary	hungary	PROPN
gc-669	138	18	geologia	geologia	PROPN
gc-669	138	19	croatica	croatica	PROPN
gc-669	138	20	279	279	NUM
gc-669	138	21	realizations	realization	NOUN
gc-669	138	22	are	be	AUX
gc-669	138	23	obtained	obtain	VERB
gc-669	138	24	by	by	ADP
gc-669	138	25	repeating	repeat	VERB
gc-669	138	26	the	the	DET
gc-669	138	27	entire	entire	ADJ
gc-669	138	28	sequential	sequential	ADJ
gc-669	138	29	process	process	NOUN
gc-669	138	30	with	with	ADP
gc-669	138	31	possibly	possibly	ADV
gc-669	138	32	different	different	ADJ
gc-669	138	33	random	random	ADJ
gc-669	138	34	path	path	NOUN
gc-669	138	35	for	for	ADP
gc-669	138	36	each	each	DET
gc-669	138	37	realization	realization	NOUN
gc-669	138	38	(	(	PUNCT
gc-669	138	39	goovaerts	goovaert	NOUN
gc-669	138	40	,	,	PUNCT
gc-669	138	41	1997	1997	NUM
gc-669	138	42	;	;	PUNCT
gc-669	138	43	geiger	geiger	NOUN
gc-669	138	44	,	,	PUNCT
gc-669	138	45	2006	2006	NUM
gc-669	138	46	)	)	PUNCT
gc-669	138	47	.	.	PUNCT
gc-669	139	1	when	when	SCONJ
gc-669	139	2	secondary	secondary	ADJ
gc-669	139	3	information	information	NOUN
gc-669	139	4	is	be	AUX
gc-669	139	5	available	available	ADJ
gc-669	139	6	,	,	PUNCT
gc-669	139	7	then	then	ADV
gc-669	139	8	this	this	DET
gc-669	139	9	information	information	NOUN
gc-669	139	10	can	can	AUX
gc-669	139	11	be	be	AUX
gc-669	139	12	used	use	VERB
gc-669	139	13	in	in	ADP
gc-669	139	14	the	the	DET
gc-669	139	15	sequential	sequential	ADJ
gc-669	139	16	stochastic	stochastic	ADJ
gc-669	139	17	simulation	simulation	NOUN
gc-669	139	18	process	process	NOUN
gc-669	139	19	(	(	PUNCT
gc-669	139	20	goovaerts	goovaert	NOUN
gc-669	139	21	,	,	PUNCT
gc-669	139	22	1997	1997	NUM
gc-669	139	23	;	;	PUNCT
gc-669	139	24	deutsch	deutsch	PROPN
gc-669	139	25	&	&	CCONJ
gc-669	139	26	journel	journel	PROPN
gc-669	139	27	,	,	PUNCT
gc-669	139	28	1998	1998	NUM
gc-669	139	29	;	;	PUNCT
gc-669	139	30	malvić	malvić	NOUN
gc-669	139	31	,	,	PUNCT
gc-669	139	32	2008	2008	NUM
gc-669	139	33	)	)	PUNCT
gc-669	139	34	.	.	PUNCT
gc-669	140	1	as	as	SCONJ
gc-669	140	2	mentioned	mention	VERB
gc-669	140	3	above	above	ADV
gc-669	140	4	,	,	PUNCT
gc-669	140	5	the	the	DET
gc-669	140	6	secondary	secondary	ADJ
gc-669	140	7	information	information	NOUN
gc-669	140	8	is	be	AUX
gc-669	140	9	related	relate	VERB
gc-669	140	10	to	to	ADP
gc-669	140	11	dem	dem	NOUN
gc-669	140	12	and	and	CCONJ
gc-669	140	13	the	the	DET
gc-669	140	14	lc	lc	NOUN
gc-669	140	15	map	map	NOUN
gc-669	140	16	of	of	ADP
gc-669	140	17	the	the	DET
gc-669	140	18	pilot	pilot	NOUN
gc-669	140	19	area	area	NOUN
gc-669	140	20	.	.	PUNCT
gc-669	141	1	in	in	ADP
gc-669	141	2	this	this	DET
gc-669	141	3	study	study	NOUN
gc-669	141	4	,	,	PUNCT
gc-669	141	5	the	the	DET
gc-669	141	6	rk	rk	NOUN
gc-669	141	7	estimation	estimation	NOUN
gc-669	141	8	was	be	AUX
gc-669	141	9	used	use	VERB
gc-669	141	10	to	to	PART
gc-669	141	11	identify	identify	VERB
gc-669	141	12	the	the	DET
gc-669	141	13	mean	mean	NOUN
gc-669	141	14	of	of	ADP
gc-669	141	15	ccdf	ccdf	NOUN
gc-669	141	16	at	at	ADP
gc-669	141	17	any	any	DET
gc-669	141	18	grid	grid	NOUN
gc-669	141	19	node	node	NOUN
gc-669	141	20	and	and	CCONJ
gc-669	141	21	the	the	DET
gc-669	141	22	simple	simple	ADJ
gc-669	141	23	kriging	krige	VERB
gc-669	141	24	variance	variance	NOUN
gc-669	141	25	of	of	ADP
gc-669	141	26	the	the	DET
gc-669	141	27	residuals	residual	NOUN
gc-669	141	28	was	be	AUX
gc-669	141	29	used	use	VERB
gc-669	141	30	to	to	PART
gc-669	141	31	identify	identify	VERB
gc-669	141	32	the	the	DET
gc-669	141	33	variance	variance	NOUN
gc-669	141	34	of	of	ADP
gc-669	141	35	ccdf	ccdf	NOUN
gc-669	141	36	at	at	ADP
gc-669	141	37	any	any	DET
gc-669	141	38	grid	grid	NOUN
gc-669	141	39	node	node	NOUN
gc-669	141	40	,	,	PUNCT
gc-669	141	41	according	accord	VERB
gc-669	141	42	to	to	ADP
gc-669	141	43	goovaerts	goovaerts	PROPN
gc-669	141	44	(	(	PUNCT
gc-669	141	45	1997	1997	NUM
gc-669	141	46	)	)	PUNCT
gc-669	141	47	and	and	CCONJ
gc-669	141	48	deutsch	deutsch	PROPN
gc-669	141	49	&	&	CCONJ
gc-669	141	50	journel	journel	PROPN
gc-669	141	51	(	(	PUNCT
gc-669	141	52	1998	1998	NUM
gc-669	141	53	)	)	PUNCT
gc-669	141	54	.	.	PUNCT
gc-669	142	1	figure	figure	VERB
gc-669	142	2	4	4	NUM
gc-669	142	3	presents	present	VERB
gc-669	142	4	the	the	DET
gc-669	142	5	schema	schema	NOUN
gc-669	142	6	of	of	ADP
gc-669	142	7	sssrk	sssrk	NOUN
gc-669	142	8	.	.	PUNCT
gc-669	143	1	the	the	DET
gc-669	143	2	consequence	consequence	NOUN
gc-669	143	3	of	of	ADP
gc-669	143	4	this	this	DET
gc-669	143	5	practice	practice	NOUN
gc-669	143	6	is	be	AUX
gc-669	143	7	that	that	SCONJ
gc-669	143	8	the	the	DET
gc-669	143	9	variogram	variogram	NOUN
gc-669	143	10	and	and	CCONJ
gc-669	143	11	the	the	DET
gc-669	143	12	histogram	histogram	NOUN
gc-669	143	13	of	of	ADP
gc-669	143	14	the	the	DET
gc-669	143	15	residuals	residual	NOUN
gc-669	143	16	are	be	AUX
gc-669	143	17	reproduced	reproduce	VERB
gc-669	143	18	by	by	ADP
gc-669	143	19	the	the	DET
gc-669	143	20	simulation	simulation	NOUN
gc-669	143	21	model	model	NOUN
gc-669	143	22	.	.	PUNCT
gc-669	144	1	furthermore	furthermore	ADV
gc-669	144	2	,	,	PUNCT
gc-669	144	3	the	the	DET
gc-669	144	4	realizations	realization	NOUN
gc-669	144	5	honour	honour	VERB
gc-669	144	6	the	the	DET
gc-669	144	7	input	input	NOUN
gc-669	144	8	dataset	dataset	NOUN
gc-669	144	9	.	.	PUNCT
gc-669	145	1	in	in	ADP
gc-669	145	2	our	our	PRON
gc-669	145	3	work	work	NOUN
gc-669	145	4	,	,	PUNCT
gc-669	145	5	100	100	NUM
gc-669	145	6	realizations	realization	NOUN
gc-669	145	7	(	(	PUNCT
gc-669	145	8	according	accord	VERB
gc-669	145	9	to	to	ADP
gc-669	145	10	goovaerts	goovaerts	PROPN
gc-669	145	11	[	[	X
gc-669	145	12	2001	2001	NUM
gc-669	145	13	]	]	PUNCT
gc-669	145	14	and	and	CCONJ
gc-669	145	15	geiger	geiger	PROPN
gc-669	145	16	[	[	X
gc-669	145	17	2006	2006	NUM
gc-669	145	18	]	]	PUNCT
gc-669	145	19	)	)	PUNCT
gc-669	145	20	were	be	AUX
gc-669	145	21	generated	generate	VERB
gc-669	145	22	by	by	ADP
gc-669	145	23	the	the	DET
gc-669	145	24	previously	previously	ADV
gc-669	145	25	detailed	detail	VERB
gc-669	145	26	sssrk	sssrk	NOUN
gc-669	145	27	method	method	NOUN
gc-669	145	28	.	.	PUNCT
gc-669	146	1	the	the	DET
gc-669	146	2	resulting	result	VERB
gc-669	146	3	stochastic	stochastic	ADJ
gc-669	146	4	images	image	NOUN
gc-669	146	5	can	can	AUX
gc-669	146	6	be	be	AUX
gc-669	146	7	used	use	VERB
gc-669	146	8	,	,	PUNCT
gc-669	146	9	for	for	ADP
gc-669	146	10	example	example	NOUN
gc-669	146	11	,	,	PUNCT
gc-669	146	12	to	to	PART
gc-669	146	13	map	map	VERB
gc-669	146	14	the	the	DET
gc-669	146	15	e	e	NOUN
gc-669	146	16	-	-	NOUN
gc-669	146	17	type	type	NOUN
gc-669	146	18	estimation	estimation	NOUN
gc-669	146	19	,	,	PUNCT
gc-669	146	20	as	as	ADV
gc-669	146	21	well	well	ADV
gc-669	146	22	as	as	ADP
gc-669	146	23	the	the	DET
gc-669	146	24	corresponding	corresponding	ADJ
gc-669	146	25	upper	upper	ADJ
gc-669	146	26	and	and	CCONJ
gc-669	146	27	lower	low	ADJ
gc-669	146	28	bound	bind	VERB
gc-669	146	29	of	of	ADP
gc-669	146	30	the	the	DET
gc-669	146	31	confidence	confidence	NOUN
gc-669	146	32	interval	interval	NOUN
gc-669	146	33	for	for	ADP
gc-669	146	34	each	each	DET
gc-669	146	35	grid	grid	NOUN
gc-669	146	36	node	node	NOUN
gc-669	146	37	,	,	PUNCT
gc-669	146	38	to	to	PART
gc-669	146	39	assess	assess	VERB
gc-669	146	40	the	the	DET
gc-669	146	41	spatial	spatial	ADJ
gc-669	146	42	uncertainty	uncertainty	NOUN
gc-669	146	43	using	use	VERB
gc-669	146	44	the	the	DET
gc-669	146	45	differences	difference	NOUN
gc-669	146	46	between	between	ADP
gc-669	146	47	the	the	DET
gc-669	146	48	realizations	realization	NOUN
gc-669	146	49	or	or	CCONJ
gc-669	146	50	to	to	PART
gc-669	146	51	solve	solve	VERB
gc-669	146	52	tasks	task	NOUN
gc-669	146	53	like	like	ADP
gc-669	146	54	“	"	PUNCT
gc-669	146	55	contouring	contour	VERB
gc-669	146	56	the	the	DET
gc-669	146	57	probability	probability	NOUN
gc-669	146	58	of	of	ADP
gc-669	146	59	the	the	DET
gc-669	146	60	event	event	NOUN
gc-669	146	61	of	of	ADP
gc-669	146	62	{	{	PUNCT
gc-669	146	63	som	som	NOUN
gc-669	146	64	<	<	X
gc-669	146	65	1.5	1.5	NUM
gc-669	146	66	%	%	NOUN
gc-669	146	67	}	}	PUNCT
gc-669	146	68	”	"	PUNCT
gc-669	146	69	(	(	PUNCT
gc-669	146	70	geiger	geiger	PROPN
gc-669	146	71	&	&	CCONJ
gc-669	146	72	mucsi	mucsi	PROPN
gc-669	146	73	,	,	PUNCT
gc-669	146	74	2005	2005	NUM
gc-669	146	75	;	;	PUNCT
gc-669	146	76	geiger	geiger	PROPN
gc-669	146	77	,	,	PUNCT
gc-669	146	78	2006	2006	NUM
gc-669	146	79	;	;	PUNCT
gc-669	146	80	mucsi	mucsi	PROPN
gc-669	146	81	,	,	PUNCT
gc-669	146	82	et	et	PROPN
gc-669	146	83	al	al	PROPN
gc-669	146	84	.	.	PROPN
gc-669	146	85	2013	2013	NUM
gc-669	146	86	)	)	PUNCT
gc-669	146	87	.	.	PUNCT
gc-669	147	1	4	4	X
gc-669	147	2	.	.	NOUN
gc-669	147	3	results	result	NOUN
gc-669	147	4	and	and	CCONJ
gc-669	147	5	discussion	discussion	NOUN
gc-669	147	6	4.1	4.1	NUM
gc-669	147	7	.	.	PUNCT
gc-669	148	1	results	result	NOUN
gc-669	148	2	of	of	ADP
gc-669	148	3	rk	rk	PRON
gc-669	148	4	the	the	DET
gc-669	148	5	generalized	generalized	ADJ
gc-669	148	6	least	least	ADJ
gc-669	148	7	squares	square	NOUN
gc-669	148	8	(	(	PUNCT
gc-669	148	9	gls	gls	PROPN
gc-669	148	10	)	)	PUNCT
gc-669	148	11	method	method	NOUN
gc-669	148	12	was	be	AUX
gc-669	148	13	used	use	VERB
gc-669	148	14	to	to	PART
gc-669	148	15	estimate	estimate	VERB
gc-669	148	16	the	the	DET
gc-669	148	17	regression	regression	NOUN
gc-669	148	18	coefficients	coefficient	VERB
gc-669	148	19	for	for	ADP
gc-669	148	20	the	the	DET
gc-669	148	21	multiple	multiple	ADJ
gc-669	148	22	linear	linear	PROPN
gc-669	148	23	regression	regression	NOUN
gc-669	148	24	model	model	NOUN
gc-669	148	25	.	.	PUNCT
gc-669	149	1	the	the	DET
gc-669	149	2	response	response	NOUN
gc-669	149	3	variable	variable	NOUN
gc-669	149	4	was	be	AUX
gc-669	149	5	the	the	DET
gc-669	149	6	som	som	NOUN
gc-669	149	7	content	content	NOUN
gc-669	149	8	,	,	PUNCT
gc-669	149	9	whilst	whilst	SCONJ
gc-669	149	10	the	the	DET
gc-669	149	11	explanatory	explanatory	ADJ
gc-669	149	12	variables	variable	NOUN
gc-669	149	13	were	be	AUX
gc-669	149	14	the	the	DET
gc-669	149	15	pc	pc	NOUN
gc-669	149	16	grids	grid	NOUN
gc-669	149	17	of	of	ADP
gc-669	149	18	the	the	DET
gc-669	149	19	morphometric	morphometric	ADJ
gc-669	149	20	parameters	parameter	NOUN
gc-669	149	21	and	and	CCONJ
gc-669	149	22	the	the	DET
gc-669	149	23	indicator	indicator	NOUN
gc-669	149	24	variables	variable	NOUN
gc-669	149	25	(	(	PUNCT
gc-669	149	26	iv	iv	X
gc-669	149	27	)	)	PUNCT
gc-669	149	28	of	of	ADP
gc-669	149	29	the	the	DET
gc-669	149	30	lc	lc	PROPN
gc-669	149	31	types	type	NOUN
gc-669	149	32	.	.	PUNCT
gc-669	150	1	the	the	DET
gc-669	150	2	applied	apply	VERB
gc-669	150	3	significance	significance	NOUN
gc-669	150	4	level	level	NOUN
gc-669	150	5	was	be	AUX
gc-669	150	6	0.05	0.05	NUM
gc-669	150	7	and	and	CCONJ
gc-669	150	8	the	the	DET
gc-669	150	9	“	"	PUNCT
gc-669	150	10	stepwise	stepwise	NOUN
gc-669	150	11	”	"	PUNCT
gc-669	150	12	method	method	NOUN
gc-669	150	13	was	be	AUX
gc-669	150	14	used	use	VERB
gc-669	150	15	to	to	PART
gc-669	150	16	select	select	VERB
gc-669	150	17	the	the	DET
gc-669	150	18	explanatory	explanatory	ADJ
gc-669	150	19	variables	variable	NOUN
gc-669	150	20	into	into	ADP
gc-669	150	21	the	the	DET
gc-669	150	22	regression	regression	NOUN
gc-669	150	23	model	model	NOUN
gc-669	150	24	.	.	PUNCT
gc-669	151	1	table	table	NOUN
gc-669	151	2	3	3	NUM
gc-669	151	3	summarizes	summarize	VERB
gc-669	151	4	the	the	DET
gc-669	151	5	results	result	NOUN
gc-669	151	6	of	of	ADP
gc-669	151	7	the	the	DET
gc-669	151	8	multiple	multiple	ADJ
gc-669	151	9	linear	linear	ADJ
gc-669	151	10	regression	regression	NOUN
gc-669	151	11	analysis	analysis	NOUN
gc-669	151	12	.	.	PUNCT
gc-669	152	1	table	table	NOUN
gc-669	152	2	3	3	NUM
gc-669	152	3	:	:	PUNCT
gc-669	152	4	results	result	NOUN
gc-669	152	5	of	of	ADP
gc-669	152	6	the	the	DET
gc-669	152	7	multiple	multiple	ADJ
gc-669	152	8	linear	linear	ADJ
gc-669	152	9	regression	regression	NOUN
gc-669	152	10	analysis	analysis	NOUN
gc-669	152	11	.	.	PUNCT
gc-669	153	1	regression	regression	NOUN
gc-669	153	2	coefficients	coefficient	VERB
gc-669	153	3	sig	sig	PROPN
gc-669	153	4	.	.	PUNCT
gc-669	154	1	intercept	intercept	VERB
gc-669	154	2	1.878	1.878	NUM
gc-669	154	3	<	<	X
gc-669	154	4	2	2	NUM
gc-669	154	5	*	*	SYM
gc-669	154	6	10	10	NUM
gc-669	154	7	-	-	SYM
gc-669	154	8	16	16	NUM
gc-669	154	9	explanatory	explanatory	ADJ
gc-669	154	10	variables	variable	NOUN
gc-669	154	11	pc-1	pc-1	ADP
gc-669	154	12	-0.004	-0.004	PUNCT
gc-669	154	13	3.08	3.08	NUM
gc-669	154	14	*	*	NUM
gc-669	154	15	10	10	NUM
gc-669	154	16	-	-	SYM
gc-669	154	17	02	02	NUM
gc-669	154	18	pc-2	pc-2	NOUN
gc-669	154	19	-0.035	-0.035	PROPN
gc-669	154	20	1.20	1.20	NUM
gc-669	154	21	*	*	SYM
gc-669	154	22	10	10	NUM
gc-669	154	23	-	-	SYM
gc-669	154	24	08	08	NUM
gc-669	154	25	pc-4	pc-4	NUM
gc-669	154	26	-0.172	-0.172	NOUN
gc-669	154	27	1.29	1.29	NUM
gc-669	154	28	*	*	SYM
gc-669	154	29	10	10	NUM
gc-669	154	30	-	-	SYM
gc-669	154	31	05	05	NUM
gc-669	154	32	iv	iv	NOUN
gc-669	154	33	-	-	PUNCT
gc-669	154	34	forests	forest	NOUN
gc-669	154	35	-0.621	-0.621	PUNCT
gc-669	154	36	1.63	1.63	NUM
gc-669	154	37	*	*	SYM
gc-669	154	38	10	10	NUM
gc-669	154	39	-	-	SYM
gc-669	154	40	04	04	NUM
gc-669	154	41	iv	iv	NUM
gc-669	154	42	-	-	PUNCT
gc-669	154	43	vineyards	vineyard	NOUN
gc-669	154	44	-0.859	-0.859	PUNCT
gc-669	155	1	5.33	5.33	NUM
gc-669	155	2	*	*	NUM
gc-669	155	3	10	10	NUM
gc-669	155	4	-	-	SYM
gc-669	155	5	08	08	NUM
gc-669	155	6	iv	iv	NUM
gc-669	155	7	-	-	PUNCT
gc-669	155	8	eroded	erode	VERB
gc-669	155	9	arables	arable	NOUN
gc-669	155	10	0.624	0.624	NUM
gc-669	155	11	3.40	3.40	NUM
gc-669	155	12	*	*	SYM
gc-669	155	13	10	10	NUM
gc-669	155	14	-	-	SYM
gc-669	155	15	05	05	NUM
gc-669	155	16	pc-6	pc-6	NOUN
gc-669	155	17	-0.533	-0.533	NOUN
gc-669	155	18	1.14	1.14	NUM
gc-669	155	19	*	*	SYM
gc-669	155	20	10	10	NUM
gc-669	155	21	-	-	SYM
gc-669	155	22	02	02	NUM
gc-669	155	23	determination	determination	NOUN
gc-669	155	24	coefficient	coefficient	NOUN
gc-669	155	25	(	(	PUNCT
gc-669	155	26	r2	r2	PROPN
gc-669	155	27	)	)	PUNCT
gc-669	155	28	0.809	0.809	NUM
gc-669	155	29	model	model	NOUN
gc-669	155	30	p	p	NOUN
gc-669	155	31	-	-	PUNCT
gc-669	155	32	value	value	NOUN
gc-669	155	33	3.59	3.59	NUM
gc-669	155	34	*	*	SYM
gc-669	155	35	10	10	NUM
gc-669	155	36	-	-	SYM
gc-669	155	37	11	11	NUM
gc-669	155	38	seven	seven	NUM
gc-669	155	39	explanatory	explanatory	ADJ
gc-669	155	40	variables	variable	NOUN
gc-669	155	41	were	be	AUX
gc-669	155	42	selected	select	VERB
gc-669	155	43	into	into	ADP
gc-669	155	44	the	the	DET
gc-669	155	45	multiple	multiple	ADJ
gc-669	155	46	linear	linear	ADJ
gc-669	155	47	regression	regression	NOUN
gc-669	155	48	model	model	NOUN
gc-669	155	49	by	by	ADP
gc-669	155	50	the	the	DET
gc-669	155	51	“	"	PUNCT
gc-669	155	52	stepwise	stepwise	NOUN
gc-669	155	53	”	"	PUNCT
gc-669	155	54	method	method	NOUN
gc-669	155	55	(	(	PUNCT
gc-669	155	56	see	see	VERB
gc-669	155	57	table	table	NOUN
gc-669	155	58	3	3	NUM
gc-669	155	59	)	)	PUNCT
gc-669	155	60	,	,	PUNCT
gc-669	155	61	where	where	SCONJ
gc-669	155	62	4	4	NUM
gc-669	155	63	explanatory	explanatory	ADJ
gc-669	155	64	variables	variable	NOUN
gc-669	155	65	were	be	AUX
gc-669	155	66	related	relate	VERB
gc-669	155	67	to	to	ADP
gc-669	155	68	the	the	DET
gc-669	155	69	pc	pc	NOUN
gc-669	155	70	grids	grid	NOUN
gc-669	155	71	(	(	PUNCT
gc-669	155	72	i.e.	i.e.	X
gc-669	155	73	pc-1	pc-1	NOUN
gc-669	155	74	,	,	PUNCT
gc-669	155	75	pc-2	pc-2	PRON
gc-669	155	76	,	,	PUNCT
gc-669	155	77	pc-4	pc-4	PUNCT
gc-669	155	78	and	and	CCONJ
gc-669	155	79	pc-6	pc-6	NOUN
gc-669	155	80	)	)	PUNCT
gc-669	155	81	,	,	PUNCT
gc-669	155	82	whilst	whilst	SCONJ
gc-669	155	83	3	3	NUM
gc-669	155	84	explanatory	explanatory	ADJ
gc-669	155	85	variables	variable	NOUN
gc-669	155	86	were	be	AUX
gc-669	155	87	related	relate	VERB
gc-669	155	88	to	to	ADP
gc-669	155	89	the	the	DET
gc-669	155	90	iv	iv	NUM
gc-669	155	91	grids	grid	NOUN
gc-669	155	92	(	(	PUNCT
gc-669	155	93	i.e.	i.e.	X
gc-669	155	94	iv	iv	NOUN
gc-669	155	95	-	-	PUNCT
gc-669	155	96	forests	forest	NOUN
gc-669	155	97	,	,	PUNCT
gc-669	155	98	iv	iv	NOUN
gc-669	155	99	-	-	PUNCT
gc-669	155	100	vineyards	vineyard	NOUN
gc-669	155	101	and	and	CCONJ
gc-669	155	102	iv	iv	NOUN
gc-669	155	103	-	-	PUNCT
gc-669	155	104	eroded	erode	VERB
gc-669	155	105	arables	arable	NOUN
gc-669	155	106	)	)	PUNCT
gc-669	155	107	.	.	PUNCT
gc-669	156	1	in	in	ADP
gc-669	156	2	case	case	NOUN
gc-669	156	3	of	of	ADP
gc-669	156	4	the	the	DET
gc-669	156	5	selected	select	VERB
gc-669	156	6	figure	figure	NOUN
gc-669	156	7	5	5	NUM
gc-669	156	8	:	:	PUNCT
gc-669	156	9	an	an	DET
gc-669	156	10	experimental	experimental	ADJ
gc-669	156	11	variogram	variogram	NOUN
gc-669	156	12	and	and	CCONJ
gc-669	156	13	the	the	DET
gc-669	156	14	fitted	fit	VERB
gc-669	156	15	variogram	variogram	NOUN
gc-669	156	16	model	model	NOUN
gc-669	156	17	of	of	ADP
gc-669	156	18	the	the	DET
gc-669	156	19	residuals	residual	NOUN
gc-669	156	20	.	.	PUNCT
gc-669	157	1	figure	figure	VERB
gc-669	157	2	6	6	NUM
gc-669	157	3	:	:	PUNCT
gc-669	157	4	a	a	DET
gc-669	157	5	map	map	NOUN
gc-669	157	6	of	of	ADP
gc-669	157	7	the	the	DET
gc-669	157	8	soil	soil	NOUN
gc-669	157	9	organic	organic	ADJ
gc-669	157	10	matter	matter	NOUN
gc-669	157	11	(	(	PUNCT
gc-669	157	12	som	som	NOUN
gc-669	157	13	)	)	PUNCT
gc-669	157	14	content	content	NOUN
gc-669	157	15	created	create	VERB
gc-669	157	16	by	by	ADP
gc-669	157	17	regression	regression	NOUN
gc-669	157	18	kriging	krige	VERB
gc-669	157	19	.	.	PUNCT
gc-669	158	1	geologia	geologia	PROPN
gc-669	158	2	croatica	croatica	PROPN
gc-669	158	3	68/3geologia	68/3geologia	NUM
gc-669	158	4	croatica	croatica	PROPN
gc-669	158	5	280	280	NUM
gc-669	158	6	pc	pc	NOUN
gc-669	158	7	grids	grid	NOUN
gc-669	158	8	,	,	PUNCT
gc-669	158	9	pc-1	pc-1	NOUN
gc-669	158	10	relates	relate	VERB
gc-669	158	11	to	to	ADP
gc-669	158	12	the	the	DET
gc-669	158	13	altitude	altitude	NOUN
gc-669	158	14	parameter	parameter	NOUN
gc-669	158	15	(	(	PUNCT
gc-669	158	16	i.e.	i.e.	X
gc-669	158	17	the	the	DET
gc-669	158	18	altitude	altitude	NOUN
gc-669	158	19	morphometric	morphometric	ADJ
gc-669	158	20	parameter	parameter	NOUN
gc-669	158	21	had	have	VERB
gc-669	158	22	the	the	DET
gc-669	158	23	highest	high	ADJ
gc-669	158	24	pc	pc	NOUN
gc-669	158	25	coefficient	coefficient	NOUN
gc-669	158	26	in	in	ADP
gc-669	158	27	the	the	DET
gc-669	158	28	pc	pc	NOUN
gc-669	158	29	analysis	analysis	NOUN
gc-669	158	30	)	)	PUNCT
gc-669	158	31	,	,	PUNCT
gc-669	158	32	pc-2	pc-2	PUNCT
gc-669	158	33	relates	relate	VERB
gc-669	158	34	to	to	PART
gc-669	158	35	slope	slope	VERB
gc-669	158	36	,	,	PUNCT
gc-669	158	37	pc-4	pc-4	PUNCT
gc-669	158	38	represents	represent	VERB
gc-669	158	39	the	the	DET
gc-669	158	40	topographic	topographic	PROPN
gc-669	158	41	wetness	wetness	PROPN
gc-669	158	42	index	index	NOUN
gc-669	158	43	,	,	PUNCT
gc-669	158	44	whilst	whilst	SCONJ
gc-669	158	45	pc-6	pc-6	PUNCT
gc-669	158	46	relates	relate	VERB
gc-669	158	47	to	to	ADP
gc-669	158	48	the	the	DET
gc-669	158	49	ls	ls	ADJ
gc-669	158	50	factor	factor	NOUN
gc-669	158	51	.	.	PUNCT
gc-669	159	1	as	as	ADP
gc-669	159	2	a	a	DET
gc-669	159	3	consequence	consequence	NOUN
gc-669	159	4	,	,	PUNCT
gc-669	159	5	som	som	NOUN
gc-669	159	6	spatial	spatial	ADJ
gc-669	159	7	distribution	distribution	NOUN
gc-669	159	8	is	be	AUX
gc-669	159	9	mainly	mainly	ADV
gc-669	159	10	determined	determine	VERB
gc-669	159	11	by	by	ADP
gc-669	159	12	the	the	DET
gc-669	159	13	soil	soil	NOUN
gc-669	159	14	erosion	erosion	NOUN
gc-669	159	15	related	relate	VERB
gc-669	159	16	morphometric	morphometric	ADJ
gc-669	159	17	parameters	parameter	NOUN
gc-669	159	18	and	and	CCONJ
gc-669	159	19	the	the	DET
gc-669	159	20	lc	lc	PROPN
gc-669	159	21	types	type	NOUN
gc-669	159	22	,	,	PUNCT
gc-669	159	23	as	as	SCONJ
gc-669	159	24	was	be	AUX
gc-669	159	25	anticipated	anticipate	VERB
gc-669	159	26	.	.	PUNCT
gc-669	160	1	the	the	DET
gc-669	160	2	determination	determination	NOUN
gc-669	160	3	coefficient	coefficient	NOUN
gc-669	160	4	of	of	ADP
gc-669	160	5	the	the	DET
gc-669	160	6	regression	regression	NOUN
gc-669	160	7	model	model	NOUN
gc-669	160	8	is	be	AUX
gc-669	160	9	0.809	0.809	NUM
gc-669	160	10	(	(	PUNCT
gc-669	160	11	see	see	VERB
gc-669	160	12	table	table	NOUN
gc-669	160	13	3	3	NUM
gc-669	160	14	)	)	PUNCT
gc-669	160	15	,	,	PUNCT
gc-669	160	16	which	which	PRON
gc-669	160	17	means	mean	VERB
gc-669	160	18	that	that	SCONJ
gc-669	160	19	the	the	DET
gc-669	160	20	model	model	NOUN
gc-669	160	21	explains	explain	VERB
gc-669	160	22	more	more	ADJ
gc-669	160	23	than	than	ADP
gc-669	160	24	80	80	NUM
gc-669	160	25	%	%	NOUN
gc-669	160	26	of	of	ADP
gc-669	160	27	the	the	DET
gc-669	160	28	total	total	ADJ
gc-669	160	29	variability	variability	NOUN
gc-669	160	30	of	of	ADP
gc-669	160	31	the	the	DET
gc-669	160	32	som	som	NOUN
gc-669	160	33	data	datum	NOUN
gc-669	160	34	and	and	CCONJ
gc-669	160	35	the	the	DET
gc-669	160	36	remaining	remain	VERB
gc-669	160	37	approximately	approximately	ADV
gc-669	160	38	20	20	NUM
gc-669	160	39	%	%	NOUN
gc-669	160	40	have	have	VERB
gc-669	160	41	to	to	PART
gc-669	160	42	be	be	AUX
gc-669	160	43	modeled	model	VERB
gc-669	160	44	with	with	ADP
gc-669	160	45	a	a	DET
gc-669	160	46	simple	simple	ADJ
gc-669	160	47	kriging	krige	VERB
gc-669	160	48	system	system	NOUN
gc-669	160	49	.	.	PUNCT
gc-669	161	1	the	the	DET
gc-669	161	2	regression	regression	NOUN
gc-669	161	3	residuals	residual	NOUN
gc-669	161	4	were	be	AUX
gc-669	161	5	derived	derive	VERB
gc-669	161	6	and	and	CCONJ
gc-669	161	7	the	the	DET
gc-669	161	8	corresponding	corresponding	ADJ
gc-669	161	9	experimental	experimental	ADJ
gc-669	161	10	variogram	variogram	NOUN
gc-669	161	11	was	be	AUX
gc-669	161	12	calculated	calculate	VERB
gc-669	161	13	to	to	PART
gc-669	161	14	model	model	VERB
gc-669	161	15	their	their	PRON
gc-669	161	16	spatial	spatial	ADJ
gc-669	161	17	structure	structure	NOUN
gc-669	161	18	(	(	PUNCT
gc-669	161	19	fig	fig	NOUN
gc-669	161	20	.	.	PUNCT
gc-669	162	1	5	5	NUM
gc-669	162	2	)	)	PUNCT
gc-669	162	3	.	.	PUNCT
gc-669	163	1	the	the	DET
gc-669	163	2	experimental	experimental	ADJ
gc-669	163	3	variogram	variogram	NOUN
gc-669	163	4	was	be	AUX
gc-669	163	5	approached	approach	VERB
gc-669	163	6	with	with	ADP
gc-669	163	7	a	a	DET
gc-669	163	8	spherical	spherical	ADJ
gc-669	163	9	variogram	variogram	NOUN
gc-669	163	10	model	model	NOUN
gc-669	163	11	type	type	NOUN
gc-669	163	12	with	with	ADP
gc-669	163	13	zero	zero	NUM
gc-669	163	14	nugget	nugget	NOUN
gc-669	163	15	,	,	PUNCT
gc-669	163	16	0.0515	0.0515	NUM
gc-669	163	17	sill	sill	NOUN
gc-669	163	18	(	(	PUNCT
gc-669	163	19	which	which	PRON
gc-669	163	20	is	be	AUX
gc-669	163	21	approximately	approximately	ADV
gc-669	163	22	20	20	NUM
gc-669	163	23	%	%	NOUN
gc-669	163	24	of	of	ADP
gc-669	163	25	the	the	DET
gc-669	163	26	total	total	ADJ
gc-669	163	27	variance	variance	NOUN
gc-669	163	28	,	,	PUNCT
gc-669	163	29	see	see	VERB
gc-669	163	30	table	table	NOUN
gc-669	163	31	1	1	NUM
gc-669	163	32	)	)	PUNCT
gc-669	163	33	,	,	PUNCT
gc-669	163	34	204	204	NUM
gc-669	163	35	meter	meter	NOUN
gc-669	163	36	range	range	NOUN
gc-669	163	37	and	and	CCONJ
gc-669	163	38	isotropic	isotropic	ADJ
gc-669	163	39	characteristic	characteristic	NOUN
gc-669	163	40	(	(	PUNCT
gc-669	163	41	see	see	VERB
gc-669	163	42	fig	fig	NOUN
gc-669	163	43	.	.	PUNCT
gc-669	164	1	5	5	NUM
gc-669	164	2	)	)	PUNCT
gc-669	164	3	.	.	PUNCT
gc-669	165	1	the	the	DET
gc-669	165	2	spatial	spatial	ADJ
gc-669	165	3	estimation	estimation	NOUN
gc-669	165	4	by	by	ADP
gc-669	165	5	rk	rk	PRON
gc-669	165	6	was	be	AUX
gc-669	165	7	carried	carry	VERB
gc-669	165	8	out	out	ADP
gc-669	165	9	using	use	VERB
gc-669	165	10	the	the	DET
gc-669	165	11	multiple	multiple	ADJ
gc-669	165	12	linear	linear	ADJ
gc-669	165	13	regression	regression	NOUN
gc-669	165	14	model	model	NOUN
gc-669	165	15	and	and	CCONJ
gc-669	165	16	the	the	DET
gc-669	165	17	fitted	fit	VERB
gc-669	165	18	variogram	variogram	NOUN
gc-669	165	19	model	model	NOUN
gc-669	165	20	.	.	PUNCT
gc-669	166	1	the	the	DET
gc-669	166	2	rk	rk	PROPN
gc-669	166	3	estimation	estimation	NOUN
gc-669	166	4	is	be	AUX
gc-669	166	5	presented	present	VERB
gc-669	166	6	in	in	ADP
gc-669	166	7	fig	fig	NOUN
gc-669	166	8	.	.	PUNCT
gc-669	167	1	6	6	NUM
gc-669	167	2	.	.	X
gc-669	167	3	4.2	4.2	NUM
gc-669	167	4	.	.	PUNCT
gc-669	168	1	results	result	NOUN
gc-669	168	2	of	of	ADP
gc-669	168	3	sssrk	sssrk	NOUN
gc-669	168	4	in	in	ADP
gc-669	168	5	this	this	DET
gc-669	168	6	study	study	NOUN
gc-669	168	7	,	,	PUNCT
gc-669	168	8	100	100	NUM
gc-669	168	9	equally	equally	ADV
gc-669	168	10	probable	probable	ADJ
gc-669	168	11	realizations	realization	NOUN
gc-669	168	12	were	be	AUX
gc-669	168	13	generated	generate	VERB
gc-669	168	14	based	base	VERB
gc-669	168	15	on	on	ADP
gc-669	168	16	the	the	DET
gc-669	168	17	regression	regression	NOUN
gc-669	168	18	kriging	krige	VERB
gc-669	168	19	system	system	NOUN
gc-669	168	20	presented	present	VERB
gc-669	168	21	earlier	early	ADV
gc-669	168	22	and	and	CCONJ
gc-669	168	23	using	use	VERB
gc-669	168	24	the	the	DET
gc-669	168	25	sssrk	sssrk	NOUN
gc-669	168	26	algorithm	algorithm	NOUN
gc-669	168	27	.	.	PUNCT
gc-669	169	1	figure	figure	VERB
gc-669	169	2	7	7	NUM
gc-669	169	3	shows	show	VERB
gc-669	169	4	three	three	NUM
gc-669	169	5	of	of	ADP
gc-669	169	6	the	the	DET
gc-669	169	7	resulting	result	VERB
gc-669	169	8	stochastic	stochastic	ADJ
gc-669	169	9	images	image	NOUN
gc-669	169	10	of	of	ADP
gc-669	169	11	sssrk	sssrk	NOUN
gc-669	169	12	.	.	PUNCT
gc-669	170	1	as	as	SCONJ
gc-669	170	2	we	we	PRON
gc-669	170	3	can	can	AUX
gc-669	170	4	see	see	VERB
gc-669	170	5	in	in	ADP
gc-669	170	6	fig	fig	NOUN
gc-669	170	7	.	.	PUNCT
gc-669	171	1	7	7	NUM
gc-669	171	2	,	,	PUNCT
gc-669	171	3	there	there	PRON
gc-669	171	4	are	be	VERB
gc-669	171	5	areas	area	NOUN
gc-669	171	6	where	where	SCONJ
gc-669	171	7	the	the	DET
gc-669	171	8	stochastic	stochastic	ADJ
gc-669	171	9	images	image	NOUN
gc-669	171	10	are	be	AUX
gc-669	171	11	not	not	PART
gc-669	171	12	so	so	ADV
gc-669	171	13	different	different	ADJ
gc-669	171	14	(	(	PUNCT
gc-669	171	15	e.g.	e.g.	ADV
gc-669	171	16	arable	arable	ADJ
gc-669	171	17	lands	land	NOUN
gc-669	171	18	)	)	PUNCT
gc-669	171	19	,	,	PUNCT
gc-669	171	20	whereas	whereas	SCONJ
gc-669	171	21	we	we	PRON
gc-669	171	22	can	can	AUX
gc-669	171	23	find	find	VERB
gc-669	171	24	some	some	DET
gc-669	171	25	regions	region	NOUN
gc-669	171	26	(	(	PUNCT
gc-669	171	27	e.g.	e.g.	ADV
gc-669	171	28	forests	forest	NOUN
gc-669	171	29	and	and	CCONJ
gc-669	171	30	meadows	meadow	NOUN
gc-669	171	31	)	)	PUNCT
gc-669	171	32	where	where	SCONJ
gc-669	171	33	the	the	DET
gc-669	171	34	differences	difference	NOUN
gc-669	171	35	are	be	AUX
gc-669	171	36	more	more	ADV
gc-669	171	37	pronounced	pronounced	ADJ
gc-669	171	38	.	.	PUNCT
gc-669	172	1	the	the	DET
gc-669	172	2	experimental	experimental	ADJ
gc-669	172	3	variograms	variogram	NOUN
gc-669	172	4	of	of	ADP
gc-669	172	5	the	the	DET
gc-669	172	6	resulted	resulted	ADJ
gc-669	172	7	realizations	realization	NOUN
gc-669	172	8	can	can	AUX
gc-669	172	9	be	be	AUX
gc-669	172	10	derived	derive	VERB
gc-669	172	11	and	and	CCONJ
gc-669	172	12	they	they	PRON
gc-669	172	13	can	can	AUX
gc-669	172	14	be	be	AUX
gc-669	172	15	compared	compare	VERB
gc-669	172	16	with	with	ADP
gc-669	172	17	the	the	DET
gc-669	172	18	applied	apply	VERB
gc-669	172	19	variogram	variogram	NOUN
gc-669	172	20	model	model	NOUN
gc-669	172	21	,	,	PUNCT
gc-669	172	22	which	which	PRON
gc-669	172	23	was	be	AUX
gc-669	172	24	used	use	VERB
gc-669	172	25	in	in	ADP
gc-669	172	26	the	the	DET
gc-669	172	27	sssrk	sssrk	NOUN
gc-669	172	28	process	process	NOUN
gc-669	172	29	(	(	PUNCT
gc-669	172	30	fig	fig	NOUN
gc-669	172	31	.	.	PUNCT
gc-669	173	1	8)	8)	NUM
gc-669	173	2	.	.	PUNCT
gc-669	174	1	one	one	NUM
gc-669	174	2	of	of	ADP
gc-669	174	3	our	our	PRON
gc-669	174	4	constraints	constraint	NOUN
gc-669	174	5	was	be	AUX
gc-669	174	6	that	that	SCONJ
gc-669	174	7	sssrk	sssrk	NOUN
gc-669	174	8	algorithm	algorithm	NOUN
gc-669	174	9	has	have	VERB
gc-669	174	10	to	to	PART
gc-669	174	11	reproduce	reproduce	VERB
gc-669	174	12	,	,	PUNCT
gc-669	174	13	through	through	ADP
gc-669	174	14	the	the	DET
gc-669	174	15	resulted	resulted	ADJ
gc-669	174	16	realizations	realization	NOUN
gc-669	174	17	,	,	PUNCT
gc-669	174	18	the	the	DET
gc-669	174	19	applied	apply	VERB
gc-669	174	20	variogram	variogram	NOUN
gc-669	174	21	model	model	NOUN
gc-669	174	22	of	of	ADP
gc-669	174	23	the	the	DET
gc-669	174	24	residuals	residual	NOUN
gc-669	174	25	.	.	PUNCT
gc-669	175	1	figure	figure	NOUN
gc-669	175	2	8	8	NUM
gc-669	175	3	shows	show	VERB
gc-669	175	4	that	that	SCONJ
gc-669	175	5	this	this	PRON
gc-669	175	6	was	be	AUX
gc-669	175	7	achieved	achieve	VERB
gc-669	175	8	.	.	PUNCT
gc-669	176	1	the	the	DET
gc-669	176	2	100	100	NUM
gc-669	176	3	realizations	realization	NOUN
gc-669	176	4	provide	provide	VERB
gc-669	176	5	100	100	NUM
gc-669	176	6	simulated	simulated	ADJ
gc-669	176	7	values	value	NOUN
gc-669	176	8	for	for	ADP
gc-669	176	9	each	each	DET
gc-669	176	10	grid	grid	NOUN
gc-669	176	11	node	node	NOUN
gc-669	176	12	and	and	CCONJ
gc-669	176	13	this	this	DET
gc-669	176	14	number	number	NOUN
gc-669	176	15	is	be	AUX
gc-669	176	16	quite	quite	ADV
gc-669	176	17	appropriate	appropriate	ADJ
gc-669	176	18	to	to	PART
gc-669	176	19	calculate	calculate	VERB
gc-669	176	20	the	the	DET
gc-669	176	21	cumulative	cumulative	ADJ
gc-669	176	22	distribution	distribution	NOUN
gc-669	176	23	around	around	ADP
gc-669	176	24	an	an	DET
gc-669	176	25	infinitesimally	infinitesimally	ADV
gc-669	176	26	small	small	ADJ
gc-669	176	27	neighbourhood	neighbourhood	NOUN
gc-669	176	28	of	of	ADP
gc-669	176	29	each	each	DET
gc-669	176	30	grid	grid	NOUN
gc-669	176	31	node	node	NOUN
gc-669	176	32	(	(	PUNCT
gc-669	176	33	geiger	geiger	NOUN
gc-669	176	34	,	,	PUNCT
gc-669	176	35	2006	2006	NUM
gc-669	176	36	;	;	PUNCT
gc-669	176	37	mucsi	mucsi	PROPN
gc-669	176	38	et	et	PROPN
gc-669	176	39	al	al	PROPN
gc-669	176	40	.	.	PROPN
gc-669	176	41	,	,	PUNCT
gc-669	176	42	2013	2013	NUM
gc-669	176	43	)	)	PUNCT
gc-669	176	44	.	.	PUNCT
gc-669	177	1	using	use	VERB
gc-669	177	2	these	these	DET
gc-669	177	3	cumulative	cumulative	ADJ
gc-669	177	4	distributions	distribution	NOUN
gc-669	177	5	the	the	DET
gc-669	177	6	e	e	NOUN
gc-669	177	7	-	-	NOUN
gc-669	177	8	type	type	NOUN
gc-669	177	9	estimation	estimation	NOUN
gc-669	177	10	and	and	CCONJ
gc-669	177	11	the	the	DET
gc-669	177	12	corresponding	corresponding	ADJ
gc-669	177	13	upper	upper	ADJ
gc-669	177	14	and	and	CCONJ
gc-669	177	15	lower	low	ADJ
gc-669	177	16	boundary	boundary	NOUN
gc-669	177	17	of	of	ADP
gc-669	177	18	the	the	DET
gc-669	177	19	95	95	NUM
gc-669	177	20	%	%	NOUN
gc-669	177	21	confidence	confidence	NOUN
gc-669	177	22	interval	interval	NOUN
gc-669	177	23	can	can	AUX
gc-669	177	24	be	be	AUX
gc-669	177	25	calculated	calculate	VERB
gc-669	177	26	for	for	ADP
gc-669	177	27	each	each	DET
gc-669	177	28	grid	grid	NOUN
gc-669	177	29	node	node	NOUN
gc-669	177	30	.	.	PUNCT
gc-669	178	1	moreover	moreover	ADV
gc-669	178	2	,	,	PUNCT
gc-669	178	3	the	the	DET
gc-669	178	4	95	95	NUM
gc-669	178	5	%	%	NOUN
gc-669	178	6	confidence	confidence	NOUN
gc-669	178	7	interval	interval	NOUN
gc-669	178	8	’s	’s	PART
gc-669	178	9	width	width	NOUN
gc-669	178	10	also	also	ADV
gc-669	178	11	can	can	AUX
gc-669	178	12	be	be	AUX
gc-669	178	13	derived	derive	VERB
gc-669	178	14	,	,	PUNCT
gc-669	178	15	which	which	PRON
gc-669	178	16	provides	provide	VERB
gc-669	178	17	a	a	DET
gc-669	178	18	measure	measure	NOUN
gc-669	178	19	of	of	ADP
gc-669	178	20	uncertainty	uncertainty	NOUN
gc-669	178	21	of	of	ADP
gc-669	178	22	the	the	DET
gc-669	178	23	som	som	NOUN
gc-669	178	24	estimation	estimation	NOUN
gc-669	178	25	,	,	PUNCT
gc-669	178	26	i.e.	i.e.	X
gc-669	178	27	when	when	SCONJ
gc-669	178	28	this	this	DET
gc-669	178	29	interval	interval	NOUN
gc-669	178	30	width	width	NOUN
gc-669	178	31	is	be	AUX
gc-669	178	32	relatively	relatively	ADV
gc-669	178	33	high	high	ADJ
gc-669	178	34	,	,	PUNCT
gc-669	178	35	then	then	ADV
gc-669	178	36	the	the	DET
gc-669	178	37	som	som	NOUN
gc-669	178	38	estimation	estimation	NOUN
gc-669	178	39	is	be	AUX
gc-669	178	40	more	more	ADV
gc-669	178	41	uncertain	uncertain	ADJ
gc-669	178	42	,	,	PUNCT
gc-669	178	43	according	accord	VERB
gc-669	178	44	to	to	ADP
gc-669	178	45	geiger	geiger	PROPN
gc-669	178	46	(	(	PUNCT
gc-669	178	47	2006	2006	NUM
gc-669	178	48	)	)	PUNCT
gc-669	178	49	.	.	PUNCT
gc-669	179	1	figure	figure	NOUN
gc-669	179	2	9	9	NUM
gc-669	179	3	shows	show	VERB
gc-669	179	4	the	the	DET
gc-669	179	5	efigure	efigure	NOUN
gc-669	179	6	7	7	NUM
gc-669	179	7	:	:	SYM
gc-669	179	8	three	three	NUM
gc-669	179	9	realizations	realization	NOUN
gc-669	179	10	of	of	ADP
gc-669	179	11	the	the	DET
gc-669	179	12	sequential	sequential	ADJ
gc-669	179	13	stochastic	stochastic	ADJ
gc-669	179	14	simulation	simulation	NOUN
gc-669	179	15	based	base	VERB
gc-669	179	16	on	on	ADP
gc-669	179	17	regression	regression	NOUN
gc-669	179	18	kriging	krige	VERB
gc-669	179	19	.	.	PUNCT
gc-669	180	1	abbreviation	abbreviation	NOUN
gc-669	180	2	:	:	PUNCT
gc-669	180	3	som	som	NOUN
gc-669	180	4	:	:	PUNCT
gc-669	180	5	soil	soil	NOUN
gc-669	180	6	organic	organic	ADJ
gc-669	180	7	matter	matter	NOUN
gc-669	180	8	.	.	PUNCT
gc-669	181	1	figure	figure	VERB
gc-669	181	2	8	8	NUM
gc-669	181	3	:	:	PUNCT
gc-669	181	4	derived	derive	VERB
gc-669	181	5	variograms	variogram	NOUN
gc-669	181	6	from	from	ADP
gc-669	181	7	several	several	ADJ
gc-669	181	8	realizations	realization	NOUN
gc-669	181	9	and	and	CCONJ
gc-669	181	10	the	the	DET
gc-669	181	11	applied	apply	VERB
gc-669	181	12	variogram	variogram	NOUN
gc-669	181	13	model	model	NOUN
gc-669	181	14	.	.	PUNCT
gc-669	182	1	szatmári	szatmári	PROPN
gc-669	182	2	et	et	PROPN
gc-669	182	3	al	al	PROPN
gc-669	182	4	.	.	PUNCT
gc-669	182	5	:	:	PUNCT
gc-669	183	1	testing	test	VERB
gc-669	183	2	a	a	DET
gc-669	183	3	sequential	sequential	ADJ
gc-669	183	4	stochastic	stochastic	ADJ
gc-669	183	5	simulation	simulation	NOUN
gc-669	183	6	method	method	NOUN
gc-669	183	7	based	base	VERB
gc-669	183	8	on	on	ADP
gc-669	183	9	regression	regression	NOUN
gc-669	183	10	kriging	krige	VERB
gc-669	183	11	in	in	ADP
gc-669	183	12	a	a	DET
gc-669	183	13	catchment	catchment	NOUN
gc-669	183	14	area	area	NOUN
gc-669	183	15	in	in	ADP
gc-669	183	16	southern	southern	ADJ
gc-669	183	17	hungary	hungary	PROPN
gc-669	183	18	geologia	geologia	PROPN
gc-669	183	19	croatica	croatica	PROPN
gc-669	183	20	281	281	NUM
gc-669	183	21	a	a	DET
gc-669	183	22	wider	wide	ADJ
gc-669	183	23	range	range	NOUN
gc-669	183	24	,	,	PUNCT
gc-669	183	25	than	than	SCONJ
gc-669	183	26	is	be	AUX
gc-669	183	27	the	the	DET
gc-669	183	28	case	case	NOUN
gc-669	183	29	for	for	ADP
gc-669	183	30	arable	arable	ADJ
gc-669	183	31	lands	land	NOUN
gc-669	183	32	.	.	PUNCT
gc-669	184	1	this	this	PRON
gc-669	184	2	is	be	AUX
gc-669	184	3	in	in	ADP
gc-669	184	4	accordance	accordance	NOUN
gc-669	184	5	with	with	ADP
gc-669	184	6	the	the	DET
gc-669	184	7	aforementioned	aforementioned	ADJ
gc-669	184	8	statements	statement	NOUN
gc-669	184	9	that	that	SCONJ
gc-669	184	10	the	the	DET
gc-669	184	11	e	e	NOUN
gc-669	184	12	-	-	NOUN
gc-669	184	13	type	type	NOUN
gc-669	184	14	estimations	estimation	NOUN
gc-669	184	15	are	be	AUX
gc-669	184	16	more	more	ADV
gc-669	184	17	uncertain	uncertain	ADJ
gc-669	184	18	in	in	ADP
gc-669	184	19	forests	forest	NOUN
gc-669	184	20	and	and	CCONJ
gc-669	184	21	meadows	meadow	NOUN
gc-669	184	22	.	.	PUNCT
gc-669	185	1	furthermore	furthermore	ADV
gc-669	185	2	,	,	PUNCT
gc-669	185	3	the	the	DET
gc-669	185	4	transect	transect	NOUN
gc-669	185	5	also	also	ADV
gc-669	185	6	indicates	indicate	VERB
gc-669	185	7	that	that	SCONJ
gc-669	185	8	the	the	DET
gc-669	185	9	som	som	NOUN
gc-669	185	10	content	content	NOUN
gc-669	185	11	is	be	AUX
gc-669	185	12	much	much	ADV
gc-669	185	13	lower	low	ADJ
gc-669	185	14	in	in	ADP
gc-669	185	15	arable	arable	ADJ
gc-669	185	16	lands	land	NOUN
gc-669	185	17	,	,	PUNCT
gc-669	185	18	than	than	ADP
gc-669	185	19	in	in	ADP
gc-669	185	20	forests	forest	NOUN
gc-669	185	21	and	and	CCONJ
gc-669	185	22	meadows	meadow	NOUN
gc-669	185	23	,	,	PUNCT
gc-669	185	24	due	due	ADP
gc-669	185	25	to	to	ADP
gc-669	185	26	the	the	DET
gc-669	185	27	long	long	ADJ
gc-669	185	28	-	-	PUNCT
gc-669	185	29	term	term	NOUN
gc-669	185	30	and	and	CCONJ
gc-669	185	31	intensive	intensive	ADJ
gc-669	185	32	agricultural	agricultural	ADJ
gc-669	185	33	activity	activity	NOUN
gc-669	185	34	,	,	PUNCT
gc-669	185	35	as	as	ADV
gc-669	185	36	well	well	ADV
gc-669	185	37	as	as	ADP
gc-669	185	38	the	the	DET
gc-669	185	39	effects	effect	NOUN
gc-669	185	40	of	of	ADP
gc-669	185	41	soil	soil	NOUN
gc-669	185	42	erosion	erosion	NOUN
gc-669	185	43	,	,	PUNCT
gc-669	185	44	which	which	PRON
gc-669	185	45	cause	cause	VERB
gc-669	185	46	a	a	DET
gc-669	185	47	higher	high	ADJ
gc-669	185	48	amount	amount	NOUN
gc-669	185	49	of	of	ADP
gc-669	185	50	organic	organic	ADJ
gc-669	185	51	matter	matter	NOUN
gc-669	185	52	mineralization	mineralization	NOUN
gc-669	185	53	,	,	PUNCT
gc-669	185	54	as	as	ADV
gc-669	185	55	well	well	ADV
gc-669	185	56	as	as	ADP
gc-669	185	57	the	the	DET
gc-669	185	58	erosion	erosion	NOUN
gc-669	185	59	of	of	ADP
gc-669	185	60	the	the	DET
gc-669	185	61	som	som	NOUN
gc-669	185	62	rich	rich	ADJ
gc-669	185	63	topsoil	topsoil	NOUN
gc-669	185	64	.	.	PUNCT
gc-669	186	1	at	at	ADP
gc-669	186	2	140	140	NUM
gc-669	186	3	metres	metre	NOUN
gc-669	186	4	along	along	ADP
gc-669	186	5	the	the	DET
gc-669	186	6	transect	transect	NOUN
gc-669	186	7	,	,	PUNCT
gc-669	186	8	the	the	DET
gc-669	186	9	range	range	NOUN
gc-669	186	10	of	of	ADP
gc-669	186	11	the	the	DET
gc-669	186	12	simulated	simulate	VERB
gc-669	186	13	values	value	NOUN
gc-669	186	14	is	be	AUX
gc-669	186	15	fairly	fairly	ADV
gc-669	186	16	small	small	ADJ
gc-669	186	17	,	,	PUNCT
gc-669	186	18	which	which	PRON
gc-669	186	19	can	can	AUX
gc-669	186	20	be	be	AUX
gc-669	186	21	attributed	attribute	VERB
gc-669	186	22	to	to	ADP
gc-669	186	23	a	a	DET
gc-669	186	24	sampling	sampling	NOUN
gc-669	186	25	point	point	NOUN
gc-669	186	26	,	,	PUNCT
gc-669	186	27	which	which	PRON
gc-669	186	28	is	be	AUX
gc-669	186	29	pretty	pretty	ADV
gc-669	186	30	near	near	ADP
gc-669	186	31	that	that	DET
gc-669	186	32	grid	grid	NOUN
gc-669	186	33	node	node	NOUN
gc-669	186	34	(	(	PUNCT
gc-669	186	35	see	see	VERB
gc-669	186	36	fig	fig	NOUN
gc-669	186	37	.	.	PUNCT
gc-669	187	1	1	1	NUM
gc-669	187	2	)	)	PUNCT
gc-669	187	3	.	.	PUNCT
gc-669	188	1	we	we	PRON
gc-669	188	2	can	can	AUX
gc-669	188	3	conclude	conclude	VERB
gc-669	188	4	that	that	PRON
gc-669	188	5	,	,	PUNCT
gc-669	188	6	the	the	DET
gc-669	188	7	sssrk	sssrk	NOUN
gc-669	188	8	algorithm	algorithm	PROPN
gc-669	188	9	honours	honour	VERB
gc-669	188	10	the	the	DET
gc-669	188	11	input	input	NOUN
gc-669	188	12	dataset	dataset	NOUN
gc-669	188	13	,	,	PUNCT
gc-669	188	14	which	which	PRON
gc-669	188	15	was	be	AUX
gc-669	188	16	the	the	DET
gc-669	188	17	other	other	ADJ
gc-669	188	18	constraint	constraint	NOUN
gc-669	188	19	on	on	ADP
gc-669	188	20	the	the	DET
gc-669	188	21	sssrk	sssrk	NOUN
gc-669	188	22	technique	technique	NOUN
gc-669	188	23	.	.	PUNCT
gc-669	189	1	in	in	ADP
gc-669	189	2	contrast	contrast	NOUN
gc-669	189	3	,	,	PUNCT
gc-669	189	4	we	we	PRON
gc-669	189	5	can	can	AUX
gc-669	189	6	use	use	VERB
gc-669	189	7	the	the	DET
gc-669	189	8	calculated	calculate	VERB
gc-669	189	9	cumulative	cumulative	ADJ
gc-669	189	10	distribution	distribution	NOUN
gc-669	189	11	for	for	ADP
gc-669	189	12	each	each	DET
gc-669	189	13	grid	grid	NOUN
gc-669	189	14	point	point	NOUN
gc-669	189	15	to	to	PART
gc-669	189	16	solve	solve	VERB
gc-669	189	17	tasks	task	NOUN
gc-669	189	18	like	like	ADP
gc-669	189	19	“	"	PUNCT
gc-669	189	20	contouring	contour	VERB
gc-669	189	21	the	the	DET
gc-669	189	22	probability	probability	NOUN
gc-669	189	23	of	of	ADP
gc-669	189	24	the	the	DET
gc-669	189	25	event	event	NOUN
gc-669	189	26	of	of	ADP
gc-669	189	27	{	{	PUNCT
gc-669	189	28	som	som	NOUN
gc-669	189	29	<	<	X
gc-669	189	30	1.5	1.5	NUM
gc-669	189	31	%	%	NOUN
gc-669	189	32	}	}	PUNCT
gc-669	189	33	”	"	PUNCT
gc-669	189	34	,	,	PUNCT
gc-669	189	35	according	accord	VERB
gc-669	189	36	to	to	ADP
gc-669	189	37	geiger	geiger	PROPN
gc-669	189	38	(	(	PUNCT
gc-669	189	39	2006	2006	NUM
gc-669	189	40	)	)	PUNCT
gc-669	189	41	.	.	PUNCT
gc-669	190	1	figure	figure	VERB
gc-669	190	2	11	11	NUM
gc-669	190	3	presents	present	NOUN
gc-669	190	4	that	that	SCONJ
gc-669	190	5	“	"	PUNCT
gc-669	190	6	probability	probability	NOUN
gc-669	190	7	map	map	NOUN
gc-669	190	8	”	"	PUNCT
gc-669	190	9	,	,	PUNCT
gc-669	190	10	which	which	PRON
gc-669	190	11	can	can	AUX
gc-669	190	12	be	be	AUX
gc-669	190	13	directly	directly	ADV
gc-669	190	14	used	use	VERB
gc-669	190	15	in	in	ADP
gc-669	190	16	a	a	DET
gc-669	190	17	soil	soil	NOUN
gc-669	190	18	protection	protection	NOUN
gc-669	190	19	and	and	CCONJ
gc-669	190	20	management	management	NOUN
gc-669	190	21	plan	plan	NOUN
gc-669	190	22	of	of	ADP
gc-669	190	23	the	the	DET
gc-669	190	24	sub	sub	NOUN
gc-669	190	25	-	-	NOUN
gc-669	190	26	catchment	catchment	NOUN
gc-669	190	27	to	to	PART
gc-669	190	28	delineate	delineate	VERB
gc-669	190	29	areas	area	NOUN
gc-669	190	30	for	for	ADP
gc-669	190	31	som	som	NOUN
gc-669	190	32	archiving	archiving	NOUN
gc-669	190	33	.	.	PUNCT
gc-669	191	1	4.3	4.3	NUM
gc-669	191	2	.	.	PUNCT
gc-669	191	3	comparison	comparison	NOUN
gc-669	191	4	of	of	ADP
gc-669	191	5	rk	rk	NOUN
gc-669	191	6	estimates	estimate	NOUN
gc-669	191	7	with	with	ADP
gc-669	191	8	sssrk	sssrk	NOUN
gc-669	191	9	’s	’s	PART
gc-669	191	10	e	e	NOUN
gc-669	191	11	-	-	NOUN
gc-669	191	12	type	type	ADJ
gc-669	191	13	estimates	estimate	NOUN
gc-669	191	14	numerous	numerous	ADJ
gc-669	191	15	authors	author	NOUN
gc-669	191	16	have	have	AUX
gc-669	191	17	compared	compare	VERB
gc-669	191	18	the	the	DET
gc-669	191	19	results	result	NOUN
gc-669	191	20	of	of	ADP
gc-669	191	21	the	the	DET
gc-669	191	22	estimation	estimation	NOUN
gc-669	191	23	and	and	CCONJ
gc-669	191	24	simulation	simulation	NOUN
gc-669	191	25	methods	method	NOUN
gc-669	191	26	in	in	ADP
gc-669	191	27	the	the	DET
gc-669	191	28	last	last	ADJ
gc-669	191	29	decade	decade	NOUN
gc-669	191	30	,	,	PUNCT
gc-669	191	31	such	such	ADJ
gc-669	191	32	as	as	ADP
gc-669	191	33	goovaerts	goovaert	NOUN
gc-669	191	34	(	(	PUNCT
gc-669	191	35	2000	2000	NUM
gc-669	191	36	)	)	PUNCT
gc-669	191	37	,	,	PUNCT
gc-669	191	38	geiger	geiger	NOUN
gc-669	191	39	(	(	PUNCT
gc-669	191	40	2006	2006	NUM
gc-669	191	41	)	)	PUNCT
gc-669	191	42	,	,	PUNCT
gc-669	191	43	malvić	malvić	NOUN
gc-669	191	44	(	(	PUNCT
gc-669	191	45	2008	2008	NUM
gc-669	191	46	)	)	PUNCT
gc-669	191	47	,	,	PUNCT
gc-669	191	48	novak	novak	PROPN
gc-669	191	49	zelenika	zelenika	PROPN
gc-669	191	50	&	&	CCONJ
gc-669	191	51	malvić	malvić	PROPN
gc-669	191	52	(	(	PUNCT
gc-669	191	53	2011	2011	NUM
gc-669	191	54	)	)	PUNCT
gc-669	191	55	,	,	PUNCT
gc-669	191	56	malvić	malvić	VERB
gc-669	191	57	et	et	NOUN
gc-669	191	58	al	al	PROPN
gc-669	191	59	.	.	PROPN
gc-669	192	1	(	(	PUNCT
gc-669	192	2	2012	2012	NUM
gc-669	192	3	)	)	PUNCT
gc-669	192	4	,	,	PUNCT
gc-669	192	5	novak	novak	PROPN
gc-669	192	6	zelenika	zelenika	X
gc-669	192	7	et	et	PROPN
gc-669	192	8	al	al	PROPN
gc-669	192	9	.	.	PROPN
gc-669	193	1	(	(	PUNCT
gc-669	193	2	2012	2012	NUM
gc-669	193	3	)	)	PUNCT
gc-669	193	4	or	or	CCONJ
gc-669	193	5	mucsi	mucsi	VERB
gc-669	193	6	et	et	PROPN
gc-669	193	7	al	al	PROPN
gc-669	193	8	.	.	PROPN
gc-669	194	1	(	(	PUNCT
gc-669	194	2	2013	2013	NUM
gc-669	194	3	)	)	PUNCT
gc-669	194	4	.	.	PUNCT
gc-669	195	1	following	follow	VERB
gc-669	195	2	this	this	DET
gc-669	195	3	practice	practice	NOUN
gc-669	195	4	,	,	PUNCT
gc-669	195	5	the	the	DET
gc-669	195	6	results	result	NOUN
gc-669	195	7	of	of	ADP
gc-669	195	8	rk	rk	NOUN
gc-669	195	9	and	and	CCONJ
gc-669	195	10	sssrk	sssrk	NOUN
gc-669	195	11	were	be	AUX
gc-669	195	12	compared	compare	VERB
gc-669	195	13	.	.	PUNCT
gc-669	196	1	if	if	SCONJ
gc-669	196	2	we	we	PRON
gc-669	196	3	compare	compare	VERB
gc-669	196	4	the	the	DET
gc-669	196	5	rk	rk	NOUN
gc-669	196	6	estimation	estimation	NOUN
gc-669	196	7	(	(	PUNCT
gc-669	196	8	fig	fig	NOUN
gc-669	196	9	.	.	PUNCT
gc-669	197	1	6	6	NUM
gc-669	197	2	)	)	PUNCT
gc-669	197	3	with	with	ADP
gc-669	197	4	the	the	DET
gc-669	197	5	sssrk	sssrk	NOUN
gc-669	197	6	’s	’s	PART
gc-669	197	7	e	e	NOUN
gc-669	197	8	-	-	NOUN
gc-669	197	9	type	type	ADJ
gc-669	197	10	estimation	estimation	NOUN
gc-669	197	11	(	(	PUNCT
gc-669	197	12	fig	fig	NOUN
gc-669	197	13	.	.	PUNCT
gc-669	198	1	9.a	9.a	NUM
gc-669	198	2	)	)	PUNCT
gc-669	198	3	,	,	PUNCT
gc-669	198	4	then	then	ADV
gc-669	198	5	we	we	PRON
gc-669	198	6	can	can	AUX
gc-669	198	7	state	state	VERB
gc-669	198	8	that	that	SCONJ
gc-669	198	9	,	,	PUNCT
gc-669	198	10	they	they	PRON
gc-669	198	11	are	be	AUX
gc-669	198	12	very	very	ADV
gc-669	198	13	similar	similar	ADJ
gc-669	198	14	.	.	PUNCT
gc-669	199	1	to	to	PART
gc-669	199	2	test	test	VERB
gc-669	199	3	this	this	DET
gc-669	199	4	impression	impression	NOUN
gc-669	199	5	,	,	PUNCT
gc-669	199	6	a	a	DET
gc-669	199	7	difference	difference	NOUN
gc-669	199	8	map	map	NOUN
gc-669	199	9	was	be	AUX
gc-669	199	10	calculated	calculate	VERB
gc-669	199	11	(	(	PUNCT
gc-669	199	12	fig	fig	NOUN
gc-669	199	13	.	.	PUNCT
gc-669	200	1	12	12	NUM
gc-669	200	2	)	)	PUNCT
gc-669	200	3	,	,	PUNCT
gc-669	201	1	which	which	PRON
gc-669	201	2	quantifies	quantify	VERB
gc-669	201	3	the	the	DET
gc-669	201	4	difference	difference	NOUN
gc-669	201	5	between	between	ADP
gc-669	201	6	the	the	DET
gc-669	201	7	map	map	NOUN
gc-669	201	8	of	of	ADP
gc-669	201	9	rk	rk	PROPN
gc-669	201	10	estimation	estimation	NOUN
gc-669	201	11	and	and	CCONJ
gc-669	201	12	sssrk	sssrk	NOUN
gc-669	201	13	’s	’s	PART
gc-669	201	14	e	e	NOUN
gc-669	201	15	-	-	NOUN
gc-669	201	16	type	type	NOUN
gc-669	201	17	estimation	estimation	NOUN
gc-669	202	1	.	.	PUNCT
gc-669	203	1	the	the	DET
gc-669	203	2	range	range	NOUN
gc-669	203	3	of	of	ADP
gc-669	203	4	the	the	DET
gc-669	203	5	difference	difference	NOUN
gc-669	203	6	map	map	NOUN
gc-669	203	7	is	be	AUX
gc-669	203	8	[	[	X
gc-669	203	9	0.068	0.068	NUM
gc-669	203	10	;	;	PUNCT
gc-669	203	11	-0.091	-0.091	NUM
gc-669	203	12	]	]	X
gc-669	203	13	(	(	PUNCT
gc-669	203	14	see	see	VERB
gc-669	203	15	fig	fig	NOUN
gc-669	203	16	.	.	PUNCT
gc-669	204	1	12	12	NUM
gc-669	204	2	)	)	PUNCT
gc-669	204	3	,	,	PUNCT
gc-669	204	4	which	which	PRON
gc-669	204	5	is	be	AUX
gc-669	204	6	fairly	fairly	ADV
gc-669	204	7	small	small	ADJ
gc-669	204	8	.	.	PUNCT
gc-669	205	1	based	base	VERB
gc-669	205	2	on	on	ADP
gc-669	205	3	this	this	PRON
gc-669	205	4	,	,	PUNCT
gc-669	205	5	we	we	PRON
gc-669	205	6	can	can	AUX
gc-669	205	7	conclude	conclude	VERB
gc-669	205	8	that	that	SCONJ
gc-669	205	9	the	the	DET
gc-669	205	10	two	two	NUM
gc-669	205	11	maps	map	NOUN
gc-669	205	12	,	,	PUNCT
gc-669	205	13	from	from	ADP
gc-669	205	14	the	the	DET
gc-669	205	15	practical	practical	ADJ
gc-669	205	16	point	point	NOUN
gc-669	205	17	of	of	ADP
gc-669	205	18	view	view	NOUN
gc-669	205	19	,	,	PUNCT
gc-669	205	20	present	present	VERB
gc-669	205	21	the	the	DET
gc-669	205	22	same	same	ADJ
gc-669	205	23	result	result	NOUN
gc-669	205	24	.	.	PUNCT
gc-669	206	1	however	however	ADV
gc-669	206	2	,	,	PUNCT
gc-669	206	3	we	we	PRON
gc-669	206	4	have	have	VERB
gc-669	206	5	to	to	PART
gc-669	206	6	notice	notice	VERB
gc-669	206	7	that	that	SCONJ
gc-669	206	8	this	this	DET
gc-669	206	9	similarity	similarity	NOUN
gc-669	206	10	may	may	AUX
gc-669	206	11	can	can	AUX
gc-669	206	12	be	be	AUX
gc-669	206	13	attributed	attribute	VERB
gc-669	206	14	to	to	ADP
gc-669	206	15	the	the	DET
gc-669	206	16	fact	fact	NOUN
gc-669	206	17	that	that	SCONJ
gc-669	206	18	the	the	DET
gc-669	206	19	determination	determination	NOUN
gc-669	206	20	coefficient	coefficient	NOUN
gc-669	206	21	of	of	ADP
gc-669	206	22	the	the	DET
gc-669	206	23	regression	regression	NOUN
gc-669	206	24	model	model	NOUN
gc-669	206	25	is	be	AUX
gc-669	206	26	fairly	fairly	ADV
gc-669	206	27	high	high	ADJ
gc-669	206	28	(	(	PUNCT
gc-669	206	29	r2=0.809	r2=0.809	NOUN
gc-669	206	30	)	)	PUNCT
gc-669	206	31	,	,	PUNCT
gc-669	206	32	which	which	PRON
gc-669	206	33	decreased	decrease	VERB
gc-669	206	34	the	the	DET
gc-669	206	35	smoothing	smooth	VERB
gc-669	206	36	effect	effect	NOUN
gc-669	206	37	of	of	ADP
gc-669	206	38	the	the	DET
gc-669	206	39	rk	rk	NOUN
gc-669	206	40	technique	technique	NOUN
gc-669	206	41	(	(	PUNCT
gc-669	206	42	szatmári	szatmári	PROPN
gc-669	206	43	et	et	PROPN
gc-669	206	44	al	al	PROPN
gc-669	206	45	.	.	PROPN
gc-669	206	46	,	,	PUNCT
gc-669	206	47	2013	2013	NUM
gc-669	206	48	)	)	PUNCT
gc-669	206	49	.	.	PUNCT
gc-669	207	1	5	5	X
gc-669	207	2	.	.	X
gc-669	207	3	conclusions	conclusion	NOUN
gc-669	207	4	in	in	ADP
gc-669	207	5	this	this	DET
gc-669	207	6	paper	paper	NOUN
gc-669	207	7	,	,	PUNCT
gc-669	207	8	a	a	DET
gc-669	207	9	sequential	sequential	ADJ
gc-669	207	10	stochastic	stochastic	ADJ
gc-669	207	11	simulation	simulation	NOUN
gc-669	207	12	method	method	NOUN
gc-669	207	13	based	base	VERB
gc-669	207	14	on	on	ADP
gc-669	207	15	regression	regression	NOUN
gc-669	207	16	kriging	krige	VERB
gc-669	207	17	(	(	PUNCT
gc-669	207	18	sssrk	sssrk	NOUN
gc-669	207	19	)	)	PUNCT
gc-669	207	20	was	be	AUX
gc-669	207	21	presented	present	VERB
gc-669	207	22	and	and	CCONJ
gc-669	207	23	tested	test	VERB
gc-669	207	24	in	in	ADP
gc-669	207	25	a	a	DET
gc-669	207	26	sub	sub	ADJ
gc-669	207	27	-	-	ADJ
gc-669	207	28	catchment	catchment	ADJ
gc-669	207	29	area	area	NOUN
gc-669	207	30	of	of	ADP
gc-669	207	31	the	the	DET
gc-669	207	32	lajvér	lajvér	NOUN
gc-669	207	33	stream	stream	NOUN
gc-669	207	34	,	,	PUNCT
gc-669	207	35	in	in	ADP
gc-669	207	36	southern	southern	ADJ
gc-669	207	37	hungary	hungary	PROPN
gc-669	207	38	.	.	PUNCT
gc-669	208	1	for	for	ADP
gc-669	208	2	this	this	DET
gc-669	208	3	purpose	purpose	NOUN
gc-669	208	4	,	,	PUNCT
gc-669	208	5	the	the	DET
gc-669	208	6	soil	soil	NOUN
gc-669	208	7	organic	organic	ADJ
gc-669	208	8	matter	matter	NOUN
gc-669	208	9	(	(	PUNCT
gc-669	208	10	som	som	NOUN
gc-669	208	11	)	)	PUNCT
gc-669	208	12	content	content	NOUN
gc-669	208	13	was	be	AUX
gc-669	208	14	chosen	choose	VERB
gc-669	208	15	because	because	SCONJ
gc-669	208	16	this	this	DET
gc-669	208	17	particular	particular	ADJ
gc-669	208	18	soil	soil	NOUN
gc-669	208	19	property	property	NOUN
gc-669	208	20	has	have	VERB
gc-669	208	21	an	an	DET
gc-669	208	22	important	important	ADJ
gc-669	208	23	role	role	NOUN
gc-669	208	24	due	due	ADP
gc-669	208	25	to	to	ADP
gc-669	208	26	its	its	PRON
gc-669	208	27	multipurpose	multipurpose	NOUN
gc-669	208	28	applicability	applicability	NOUN
gc-669	208	29	.	.	PUNCT
gc-669	209	1	as	as	SCONJ
gc-669	209	2	it	it	PRON
gc-669	209	3	was	be	AUX
gc-669	209	4	illustrated	illustrate	VERB
gc-669	209	5	in	in	ADP
gc-669	209	6	this	this	DET
gc-669	209	7	study	study	NOUN
gc-669	209	8	,	,	PUNCT
gc-669	209	9	sssrk	sssrk	NOUN
gc-669	209	10	(	(	PUNCT
gc-669	209	11	as	as	SCONJ
gc-669	209	12	opposed	oppose	VERB
gc-669	209	13	to	to	PART
gc-669	209	14	rk	rk	VERB
gc-669	209	15	)	)	PUNCT
gc-669	209	16	is	be	AUX
gc-669	209	17	able	able	ADJ
gc-669	209	18	to	to	PART
gc-669	209	19	model	model	VERB
gc-669	209	20	the	the	DET
gc-669	209	21	spatial	spatial	ADJ
gc-669	209	22	uncertainty	uncertainty	NOUN
gc-669	209	23	of	of	ADP
gc-669	209	24	the	the	DET
gc-669	209	25	target	target	NOUN
gc-669	209	26	variable	variable	NOUN
gc-669	209	27	using	use	VERB
gc-669	209	28	the	the	DET
gc-669	209	29	generated	generate	VERB
gc-669	209	30	equally	equally	ADV
gc-669	209	31	probable	probable	ADJ
gc-669	209	32	realizations	realization	NOUN
gc-669	209	33	(	(	PUNCT
gc-669	209	34	which	which	PRON
gc-669	209	35	reproduce	reproduce	VERB
gc-669	209	36	the	the	DET
gc-669	209	37	model	model	NOUN
gc-669	209	38	statistics	statistic	NOUN
gc-669	209	39	and	and	CCONJ
gc-669	209	40	honour	honour	VERB
gc-669	209	41	the	the	DET
gc-669	209	42	input	input	NOUN
gc-669	209	43	dataset	dataset	NOUN
gc-669	209	44	)	)	PUNCT
gc-669	209	45	.	.	PUNCT
gc-669	210	1	it	it	PRON
gc-669	210	2	is	be	AUX
gc-669	210	3	able	able	ADJ
gc-669	210	4	to	to	PART
gc-669	210	5	provide	provide	VERB
gc-669	210	6	a	a	DET
gc-669	210	7	measure	measure	NOUN
gc-669	210	8	of	of	ADP
gc-669	210	9	the	the	DET
gc-669	210	10	uncertainty	uncertainty	NOUN
gc-669	210	11	of	of	ADP
gc-669	210	12	figure	figure	NOUN
gc-669	210	13	9	9	NUM
gc-669	210	14	:	:	PUNCT
gc-669	210	15	the	the	DET
gc-669	210	16	e	e	NOUN
gc-669	210	17	-	-	NOUN
gc-669	210	18	type	type	ADJ
gc-669	210	19	estimation	estimation	NOUN
gc-669	210	20	of	of	ADP
gc-669	210	21	the	the	DET
gc-669	210	22	soil	soil	NOUN
gc-669	210	23	organic	organic	ADJ
gc-669	210	24	matter	matter	NOUN
gc-669	210	25	content	content	NOUN
gc-669	210	26	(	(	PUNCT
gc-669	210	27	a	a	NOUN
gc-669	210	28	)	)	PUNCT
gc-669	210	29	and	and	CCONJ
gc-669	210	30	the	the	DET
gc-669	210	31	corresponding	corresponding	ADJ
gc-669	210	32	95	95	NUM
gc-669	210	33	%	%	NOUN
gc-669	210	34	confidence	confidence	NOUN
gc-669	210	35	interval	interval	NOUN
gc-669	210	36	width	width	NOUN
gc-669	210	37	(	(	PUNCT
gc-669	210	38	b	b	NOUN
gc-669	210	39	)	)	PUNCT
gc-669	210	40	on	on	ADP
gc-669	210	41	the	the	DET
gc-669	210	42	basis	basis	NOUN
gc-669	210	43	of	of	ADP
gc-669	210	44	100	100	NUM
gc-669	210	45	realizations	realization	NOUN
gc-669	210	46	.	.	PUNCT
gc-669	211	1	type	type	NOUN
gc-669	211	2	estimation	estimation	NOUN
gc-669	211	3	and	and	CCONJ
gc-669	211	4	the	the	DET
gc-669	211	5	corresponding	correspond	VERB
gc-669	211	6	confidence	confidence	NOUN
gc-669	211	7	interval	interval	NOUN
gc-669	211	8	width	width	NOUN
gc-669	211	9	.	.	PUNCT
gc-669	212	1	as	as	SCONJ
gc-669	212	2	we	we	PRON
gc-669	212	3	can	can	AUX
gc-669	212	4	see	see	VERB
gc-669	212	5	in	in	ADP
gc-669	212	6	fig	fig	NOUN
gc-669	212	7	.	.	PUNCT
gc-669	213	1	9b	9b	NOUN
gc-669	213	2	,	,	PUNCT
gc-669	213	3	the	the	DET
gc-669	213	4	e	e	NOUN
gc-669	213	5	-	-	NOUN
gc-669	213	6	type	type	NOUN
gc-669	213	7	estimations	estimation	NOUN
gc-669	213	8	are	be	AUX
gc-669	213	9	more	more	ADV
gc-669	213	10	uncertain	uncertain	ADJ
gc-669	213	11	in	in	ADP
gc-669	213	12	forests	forest	NOUN
gc-669	213	13	,	,	PUNCT
gc-669	213	14	vineyards	vineyard	NOUN
gc-669	213	15	and	and	CCONJ
gc-669	213	16	meadows	meadow	NOUN
gc-669	213	17	,	,	PUNCT
gc-669	213	18	than	than	ADP
gc-669	213	19	in	in	ADP
gc-669	213	20	arable	arable	ADJ
gc-669	213	21	lands	land	NOUN
gc-669	213	22	.	.	PUNCT
gc-669	214	1	it	it	PRON
gc-669	214	2	can	can	AUX
gc-669	214	3	be	be	AUX
gc-669	214	4	attributed	attribute	VERB
gc-669	214	5	to	to	ADP
gc-669	214	6	the	the	DET
gc-669	214	7	sampling	sample	VERB
gc-669	214	8	strategy	strategy	NOUN
gc-669	214	9	,	,	PUNCT
gc-669	214	10	which	which	PRON
gc-669	214	11	underrepresented	underrepresente	VERB
gc-669	214	12	the	the	DET
gc-669	214	13	former	former	ADJ
gc-669	214	14	lc	lc	PROPN
gc-669	214	15	types	type	NOUN
gc-669	214	16	.	.	PUNCT
gc-669	215	1	a	a	DET
gc-669	215	2	horizontal	horizontal	ADJ
gc-669	215	3	transect	transect	NOUN
gc-669	215	4	(	(	PUNCT
gc-669	215	5	see	see	VERB
gc-669	215	6	fig	fig	NOUN
gc-669	215	7	.	.	PUNCT
gc-669	215	8	1	1	NUM
gc-669	215	9	)	)	PUNCT
gc-669	215	10	was	be	AUX
gc-669	215	11	traced	trace	VERB
gc-669	215	12	out	out	ADP
gc-669	215	13	in	in	ADP
gc-669	215	14	the	the	DET
gc-669	215	15	northern	northern	ADJ
gc-669	215	16	part	part	NOUN
gc-669	215	17	of	of	ADP
gc-669	215	18	the	the	DET
gc-669	215	19	study	study	NOUN
gc-669	215	20	site	site	NOUN
gc-669	215	21	,	,	PUNCT
gc-669	215	22	which	which	PRON
gc-669	215	23	intersects	intersect	VERB
gc-669	215	24	the	the	DET
gc-669	215	25	most	most	ADV
gc-669	215	26	frequent	frequent	ADJ
gc-669	215	27	lc	lc	NOUN
gc-669	215	28	types	type	NOUN
gc-669	215	29	(	(	PUNCT
gc-669	215	30	arable	arable	ADJ
gc-669	215	31	,	,	PUNCT
gc-669	215	32	meadows	meadow	NOUN
gc-669	215	33	and	and	CCONJ
gc-669	215	34	forests	forest	NOUN
gc-669	215	35	)	)	PUNCT
gc-669	215	36	.	.	PUNCT
gc-669	216	1	along	along	ADP
gc-669	216	2	the	the	DET
gc-669	216	3	transect	transect	NOUN
gc-669	216	4	,	,	PUNCT
gc-669	216	5	the	the	DET
gc-669	216	6	e	e	NOUN
gc-669	216	7	-	-	NOUN
gc-669	216	8	type	type	NOUN
gc-669	216	9	estimation	estimation	NOUN
gc-669	216	10	,	,	PUNCT
gc-669	216	11	the	the	DET
gc-669	216	12	upper	upper	ADJ
gc-669	216	13	and	and	CCONJ
gc-669	216	14	lower	low	ADJ
gc-669	216	15	boundary	boundary	NOUN
gc-669	216	16	of	of	ADP
gc-669	216	17	the	the	DET
gc-669	216	18	95	95	NUM
gc-669	216	19	%	%	NOUN
gc-669	216	20	confidence	confidence	NOUN
gc-669	216	21	interval	interval	NOUN
gc-669	216	22	and	and	CCONJ
gc-669	216	23	every	every	DET
gc-669	216	24	tenth	tenth	ADV
gc-669	216	25	simulated	simulate	VERB
gc-669	216	26	value	value	NOUN
gc-669	216	27	were	be	AUX
gc-669	216	28	plotted	plot	VERB
gc-669	216	29	(	(	PUNCT
gc-669	216	30	see	see	VERB
gc-669	216	31	fig	fig	NOUN
gc-669	216	32	.	.	PUNCT
gc-669	217	1	10	10	NUM
gc-669	217	2	)	)	PUNCT
gc-669	217	3	in	in	ADP
gc-669	217	4	order	order	NOUN
gc-669	217	5	to	to	PART
gc-669	217	6	analyze	analyze	VERB
gc-669	217	7	how	how	SCONJ
gc-669	217	8	the	the	DET
gc-669	217	9	simulated	simulated	ADJ
gc-669	217	10	values	value	NOUN
gc-669	217	11	vary	vary	VERB
gc-669	217	12	in	in	ADP
gc-669	217	13	different	different	ADJ
gc-669	217	14	lc	lc	NOUN
gc-669	217	15	types	type	NOUN
gc-669	217	16	.	.	PUNCT
gc-669	218	1	figure	figure	NOUN
gc-669	218	2	10	10	NUM
gc-669	218	3	shows	show	VERB
gc-669	218	4	clearly	clearly	ADV
gc-669	218	5	that	that	SCONJ
gc-669	218	6	the	the	DET
gc-669	218	7	simulated	simulated	ADJ
gc-669	218	8	values	value	NOUN
gc-669	218	9	in	in	ADP
gc-669	218	10	forests	forest	NOUN
gc-669	218	11	and	and	CCONJ
gc-669	218	12	meadows	meadow	NOUN
gc-669	218	13	have	have	VERB
gc-669	218	14	a	a	PRON
gc-669	218	15	)	)	PUNCT
gc-669	218	16	b	b	NOUN
gc-669	218	17	)	)	PUNCT
gc-669	218	18	geologia	geologia	NOUN
gc-669	218	19	croatica	croatica	PROPN
gc-669	218	20	68/3geologia	68/3geologia	NUM
gc-669	218	21	croatica	croatica	PROPN
gc-669	218	22	282	282	NUM
gc-669	218	23	the	the	DET
gc-669	218	24	e	e	NOUN
gc-669	218	25	-	-	NOUN
gc-669	218	26	type	type	NOUN
gc-669	218	27	estimates	estimate	NOUN
gc-669	218	28	using	use	VERB
gc-669	218	29	the	the	DET
gc-669	218	30	derived	derived	ADJ
gc-669	218	31	confidence	confidence	NOUN
gc-669	218	32	interval	interval	NOUN
gc-669	218	33	width	width	NOUN
gc-669	218	34	.	.	PUNCT
gc-669	219	1	moreover	moreover	ADV
gc-669	219	2	,	,	PUNCT
gc-669	219	3	the	the	DET
gc-669	219	4	calculated	calculated	ADJ
gc-669	219	5	cumulative	cumulative	ADJ
gc-669	219	6	distribution	distribution	NOUN
gc-669	219	7	around	around	ADP
gc-669	219	8	an	an	DET
gc-669	219	9	infinitesimally	infinitesimally	ADV
gc-669	219	10	small	small	ADJ
gc-669	219	11	neighbourhood	neighbourhood	NOUN
gc-669	219	12	of	of	ADP
gc-669	219	13	each	each	DET
gc-669	219	14	grid	grid	NOUN
gc-669	219	15	node	node	NOUN
gc-669	219	16	can	can	AUX
gc-669	219	17	be	be	AUX
gc-669	219	18	used	use	VERB
gc-669	219	19	to	to	PART
gc-669	219	20	support	support	VERB
gc-669	219	21	various	various	ADJ
gc-669	219	22	decisions	decision	NOUN
gc-669	219	23	(	(	PUNCT
gc-669	219	24	e.g.	e.g.	ADV
gc-669	219	25	identification	identification	NOUN
gc-669	219	26	of	of	ADP
gc-669	219	27	som	som	PROPN
gc-669	219	28	rich	rich	ADJ
gc-669	219	29	or	or	CCONJ
gc-669	219	30	som	som	NOUN
gc-669	219	31	poor	poor	ADJ
gc-669	219	32	areas	area	NOUN
gc-669	219	33	)	)	PUNCT
gc-669	219	34	.	.	PUNCT
gc-669	220	1	in	in	ADP
gc-669	220	2	addition	addition	NOUN
gc-669	220	3	,	,	PUNCT
gc-669	220	4	sssrk	sssrk	NOUN
gc-669	220	5	retained	retain	VERB
gc-669	220	6	the	the	DET
gc-669	220	7	main	main	ADJ
gc-669	220	8	advantages	advantage	NOUN
gc-669	220	9	of	of	ADP
gc-669	220	10	the	the	DET
gc-669	220	11	rk	rk	NOUN
gc-669	220	12	technique	technique	NOUN
gc-669	220	13	such	such	ADJ
gc-669	220	14	as	as	ADP
gc-669	220	15	its	its	PRON
gc-669	220	16	flexibility	flexibility	NOUN
gc-669	220	17	,	,	PUNCT
gc-669	220	18	but	but	CCONJ
gc-669	220	19	it	it	PRON
gc-669	220	20	can	can	AUX
gc-669	220	21	also	also	ADV
gc-669	220	22	handle	handle	VERB
gc-669	220	23	the	the	DET
gc-669	220	24	trend	trend	NOUN
gc-669	220	25	(	(	PUNCT
gc-669	220	26	or	or	CCONJ
gc-669	220	27	drift	drift	NOUN
gc-669	220	28	)	)	PUNCT
gc-669	220	29	and	and	CCONJ
gc-669	220	30	it	it	PRON
gc-669	220	31	can	can	AUX
gc-669	220	32	take	take	VERB
gc-669	220	33	spatially	spatially	ADV
gc-669	220	34	exhaustive	exhaustive	ADJ
gc-669	220	35	secondary	secondary	ADJ
gc-669	220	36	information	information	NOUN
gc-669	220	37	into	into	ADP
gc-669	220	38	account	account	NOUN
gc-669	220	39	in	in	ADP
gc-669	220	40	the	the	DET
gc-669	220	41	simulation	simulation	NOUN
gc-669	220	42	process	process	NOUN
gc-669	220	43	.	.	PUNCT
gc-669	221	1	in	in	ADP
gc-669	221	2	conclusion	conclusion	NOUN
gc-669	221	3	,	,	PUNCT
gc-669	221	4	sssrk	sssrk	NOUN
gc-669	221	5	is	be	AUX
gc-669	221	6	a	a	DET
gc-669	221	7	valuable	valuable	ADJ
gc-669	221	8	technique	technique	NOUN
gc-669	221	9	to	to	PART
gc-669	221	10	model	model	VERB
gc-669	221	11	the	the	DET
gc-669	221	12	spatial	spatial	ADJ
gc-669	221	13	distribution	distribution	NOUN
gc-669	221	14	,	,	PUNCT
gc-669	221	15	variability	variability	NOUN
gc-669	221	16	and	and	CCONJ
gc-669	221	17	uncertainty	uncertainty	NOUN
gc-669	221	18	of	of	ADP
gc-669	221	19	the	the	DET
gc-669	221	20	target	target	NOUN
gc-669	221	21	variable	variable	NOUN
gc-669	221	22	and	and	CCONJ
gc-669	221	23	to	to	PART
gc-669	221	24	complete	complete	VERB
gc-669	221	25	rk	rk	PRON
gc-669	221	26	’s	’s	PART
gc-669	221	27	several	several	ADJ
gc-669	221	28	shortcomings	shortcoming	NOUN
gc-669	221	29	.	.	PUNCT
gc-669	222	1	figure	figure	VERB
gc-669	222	2	11	11	NUM
gc-669	222	3	:	:	PUNCT
gc-669	222	4	a	a	DET
gc-669	222	5	map	map	NOUN
gc-669	222	6	of	of	ADP
gc-669	222	7	the	the	DET
gc-669	222	8	probability	probability	NOUN
gc-669	222	9	of	of	ADP
gc-669	222	10	the	the	DET
gc-669	222	11	event	event	NOUN
gc-669	222	12	of	of	ADP
gc-669	222	13	{	{	PUNCT
gc-669	222	14	som	som	NOUN
gc-669	222	15	<	<	X
gc-669	222	16	1.5	1.5	NUM
gc-669	222	17	%	%	NOUN
gc-669	222	18	}	}	PUNCT
gc-669	222	19	.	.	PUNCT
gc-669	223	1	figure	figure	VERB
gc-669	223	2	10	10	NUM
gc-669	223	3	:	:	PUNCT
gc-669	223	4	horizontal	horizontal	ADJ
gc-669	223	5	transect	transect	NOUN
gc-669	223	6	of	of	ADP
gc-669	223	7	every	every	DET
gc-669	223	8	tenth	tenth	ADV
gc-669	223	9	simulated	simulated	ADJ
gc-669	223	10	stochastic	stochastic	ADJ
gc-669	223	11	image	image	NOUN
gc-669	223	12	in	in	ADP
gc-669	223	13	the	the	DET
gc-669	223	14	northern	northern	ADJ
gc-669	223	15	part	part	NOUN
gc-669	223	16	of	of	ADP
gc-669	223	17	the	the	DET
gc-669	223	18	sub	sub	NOUN
gc-669	223	19	-	-	NOUN
gc-669	223	20	catchment	catchment	NOUN
gc-669	223	21	.	.	PUNCT
gc-669	224	1	figure	figure	NOUN
gc-669	224	2	12	12	NUM
gc-669	224	3	:	:	PUNCT
gc-669	224	4	a	a	DET
gc-669	224	5	difference	difference	NOUN
gc-669	224	6	map	map	NOUN
gc-669	224	7	of	of	ADP
gc-669	224	8	the	the	DET
gc-669	224	9	regression	regression	NOUN
gc-669	224	10	kriging	krige	VERB
gc-669	224	11	estimation	estimation	NOUN
gc-669	224	12	and	and	CCONJ
gc-669	224	13	the	the	DET
gc-669	224	14	sequential	sequential	ADJ
gc-669	224	15	stochastic	stochastic	ADJ
gc-669	224	16	simulation	simulation	NOUN
gc-669	224	17	based	base	VERB
gc-669	224	18	on	on	ADP
gc-669	224	19	regression	regression	NOUN
gc-669	224	20	kriging	krige	VERB
gc-669	224	21	’s	’s	PART
gc-669	224	22	e	e	NOUN
gc-669	224	23	-	-	NOUN
gc-669	224	24	type	type	ADJ
gc-669	224	25	estimation	estimation	NOUN
gc-669	224	26	.	.	PUNCT
gc-669	225	1	szatmári	szatmári	PROPN
gc-669	225	2	et	et	PROPN
gc-669	225	3	al	al	PROPN
gc-669	225	4	.	.	PUNCT
gc-669	225	5	:	:	PUNCT
gc-669	226	1	testing	test	VERB
gc-669	226	2	a	a	DET
gc-669	226	3	sequential	sequential	ADJ
gc-669	226	4	stochastic	stochastic	ADJ
gc-669	226	5	simulation	simulation	NOUN
gc-669	226	6	method	method	NOUN
gc-669	226	7	based	base	VERB
gc-669	226	8	on	on	ADP
gc-669	226	9	regression	regression	NOUN
gc-669	226	10	kriging	krige	VERB
gc-669	226	11	in	in	ADP
gc-669	226	12	a	a	DET
gc-669	226	13	catchment	catchment	NOUN
gc-669	226	14	area	area	NOUN
gc-669	226	15	in	in	ADP
gc-669	226	16	southern	southern	ADJ
gc-669	226	17	hungary	hungary	PROPN
gc-669	226	18	geologia	geologia	PROPN
gc-669	226	19	croatica	croatica	PROPN
gc-669	226	20	283	283	NUM
gc-669	226	21	acknowledgement	acknowledgement	NOUN
gc-669	226	22	our	our	PRON
gc-669	226	23	work	work	NOUN
gc-669	226	24	has	have	AUX
gc-669	226	25	been	be	AUX
gc-669	226	26	supported	support	VERB
gc-669	226	27	by	by	ADP
gc-669	226	28	the	the	DET
gc-669	226	29	hungarian	hungarian	ADJ
gc-669	226	30	national	national	PROPN
gc-669	226	31	scientific	scientific	ADJ
gc-669	226	32	research	research	NOUN
gc-669	226	33	foundation	foundation	NOUN
gc-669	226	34	(	(	PUNCT
gc-669	226	35	otka	otka	PROPN
gc-669	226	36	,	,	PUNCT
gc-669	226	37	grant	grant	VERB
gc-669	226	38	no	no	INTJ
gc-669	226	39	.	.	PUNCT
gc-669	227	1	k105167	k105167	VERB
gc-669	227	2	)	)	PUNCT
gc-669	227	3	.	.	PUNCT
gc-669	228	1	references	reference	NOUN
gc-669	228	2	bockheim	bockheim	PROPN
gc-669	228	3	,	,	PUNCT
gc-669	228	4	j.g	j.g	PROPN
gc-669	228	5	.	.	PROPN
gc-669	228	6	&	&	CCONJ
gc-669	228	7	gennadiyev	gennadiyev	PROPN
gc-669	228	8	,	,	PUNCT
gc-669	228	9	a.n	a.n	PROPN
gc-669	228	10	.	.	PROPN
gc-669	228	11	(	(	PUNCT
gc-669	228	12	2010	2010	NUM
gc-669	228	13	):	):	PUNCT
gc-669	228	14	soil	soil	NOUN
gc-669	228	15	-	-	PUNCT
gc-669	228	16	factorial	factorial	NOUN
gc-669	228	17	models	model	NOUN
gc-669	228	18	and	and	CCONJ
gc-669	228	19	earth	earth	NOUN
gc-669	228	20	-	-	PUNCT
gc-669	228	21	system	system	NOUN
gc-669	228	22	science	science	NOUN
gc-669	228	23	:	:	PUNCT
gc-669	228	24	a	a	DET
gc-669	228	25	review	review	NOUN
gc-669	228	26	.	.	PUNCT
gc-669	228	27	–	–	PUNCT
gc-669	228	28	geoderma	geoderma	NOUN
gc-669	228	29	,	,	PUNCT
gc-669	228	30	159	159	NUM
gc-669	228	31	,	,	PUNCT
gc-669	228	32	243–251	243–251	NUM
gc-669	228	33	.	.	PUNCT
gc-669	229	1	bockheim	bockheim	PROPN
gc-669	229	2	,	,	PUNCT
gc-669	229	3	j.g	j.g	PROPN
gc-669	229	4	.	.	PROPN
gc-669	229	5	,	,	PUNCT
gc-669	229	6	gennadiyev	gennadiyev	PROPN
gc-669	229	7	,	,	PUNCT
gc-669	229	8	a.n	a.n	PROPN
gc-669	229	9	.	.	PROPN
gc-669	229	10	,	,	PUNCT
gc-669	229	11	hartemink	hartemink	PROPN
gc-669	229	12	,	,	PUNCT
gc-669	229	13	a.e	a.e	PROPN
gc-669	229	14	.	.	PROPN
gc-669	229	15	&	&	CCONJ
gc-669	229	16	brevik	brevik	PROPN
gc-669	229	17	,	,	PUNCT
gc-669	229	18	e.c	e.c	PROPN
gc-669	229	19	.	.	PROPN
gc-669	229	20	(	(	PUNCT
gc-669	229	21	2014	2014	NUM
gc-669	229	22	):	):	PUNCT
gc-669	229	23	soil	soil	NOUN
gc-669	229	24	-	-	PUNCT
gc-669	229	25	forming	form	VERB
gc-669	229	26	factors	factor	NOUN
gc-669	229	27	and	and	CCONJ
gc-669	229	28	soil	soil	NOUN
gc-669	229	29	taxonomy	taxonomy	NOUN
gc-669	229	30	.	.	PUNCT
gc-669	229	31	–	–	PUNCT
gc-669	229	32	geoderma	geoderma	NOUN
gc-669	229	33	,	,	PUNCT
gc-669	229	34	226–227	226–227	NUM
gc-669	229	35	,	,	PUNCT
gc-669	229	36	231–237	231–237	NUM
gc-669	229	37	.	.	PUNCT
gc-669	230	1	borcsik	borcsik	PROPN
gc-669	230	2	,	,	PUNCT
gc-669	230	3	z.	z.	PROPN
gc-669	230	4	,	,	PUNCT
gc-669	230	5	farsang	farsang	PROPN
gc-669	230	6	,	,	PUNCT
gc-669	230	7	a.	a.	PROPN
gc-669	230	8	,	,	PUNCT
gc-669	230	9	barta	barta	PROPN
gc-669	230	10	,	,	PUNCT
gc-669	230	11	k.	k.	PROPN
gc-669	230	12	&	&	CCONJ
gc-669	230	13	kitka	kitka	PROPN
gc-669	230	14	,	,	PUNCT
gc-669	230	15	g.	g.	PROPN
gc-669	230	16	(	(	PUNCT
gc-669	230	17	2011	2011	NUM
gc-669	230	18	):	):	PUNCT
gc-669	230	19	humuszanyagok	humuszanyagok	PROPN
gc-669	230	20	mennyiségi	mennyiségi	PROPN
gc-669	230	21	és	és	PROPN
gc-669	230	22	minőségi	minőségi	PROPN
gc-669	230	23	eróziójának	eróziójának	PROPN
gc-669	230	24	mérése	mérése	VERB
gc-669	230	25	a	a	DET
gc-669	230	26	tolna	tolna	NOUN
gc-669	230	27	megyei	megyei	NOUN
gc-669	230	28	szálka	szálka	PROPN
gc-669	230	29	település	település	PROPN
gc-669	230	30	melletti	melletti	NOUN
gc-669	230	31	vízgyűjtőn	vízgyűjtőn	NOUN
gc-669	230	32	[	[	X
gc-669	230	33	quantitative	quantitative	ADJ
gc-669	230	34	and	and	CCONJ
gc-669	230	35	qualitative	qualitative	ADJ
gc-669	230	36	measurements	measurement	NOUN
gc-669	230	37	of	of	ADP
gc-669	230	38	the	the	DET
gc-669	230	39	erosion	erosion	NOUN
gc-669	230	40	affected	affect	VERB
gc-669	230	41	humic	humic	ADJ
gc-669	230	42	material	material	NOUN
gc-669	230	43	’s	’s	PART
gc-669	230	44	distribution	distribution	NOUN
gc-669	230	45	in	in	ADP
gc-669	230	46	a	a	DET
gc-669	230	47	subcatchment	subcatchment	ADJ
gc-669	230	48	area	area	NOUN
gc-669	230	49	near	near	ADP
gc-669	230	50	village	village	NOUN
gc-669	230	51	szálka	szálka	NOUN
gc-669	230	52	,	,	PUNCT
gc-669	230	53	in	in	ADP
gc-669	230	54	tolna	tolna	PROPN
gc-669	230	55	county	county	NOUN
gc-669	230	56	–	–	PUNCT
gc-669	230	57	in	in	ADP
gc-669	230	58	hungarian	hungarian	PROPN
gc-669	230	59	,	,	PUNCT
gc-669	230	60	with	with	ADP
gc-669	230	61	an	an	DET
gc-669	230	62	english	english	ADJ
gc-669	230	63	abstract	abstract	NOUN
gc-669	230	64	]	]	X
gc-669	230	65	.	.	PUNCT
gc-669	231	1	–	–	PUNCT
gc-669	231	2	talajvédelem	talajvédelem	NOUN
gc-669	231	3	(	(	PUNCT
gc-669	231	4	special	special	ADJ
gc-669	231	5	issue	issue	NOUN
gc-669	231	6	)	)	PUNCT
gc-669	231	7	,	,	PUNCT
gc-669	231	8	127–137	127–137	NUM
gc-669	231	9	.	.	PUNCT
gc-669	232	1	deutsch	deutsch	PROPN
gc-669	232	2	,	,	PUNCT
gc-669	232	3	c.v	c.v	PROPN
gc-669	232	4	&	&	CCONJ
gc-669	232	5	journel	journel	PROPN
gc-669	232	6	,	,	PUNCT
gc-669	232	7	a.g	a.g	PROPN
gc-669	232	8	.	.	PROPN
gc-669	232	9	(	(	PUNCT
gc-669	232	10	1998	1998	NUM
gc-669	232	11	):	):	PUNCT
gc-669	232	12	gslib	gslib	NOUN
gc-669	232	13	:	:	PUNCT
gc-669	232	14	geostatistical	geostatistical	ADJ
gc-669	232	15	software	software	NOUN
gc-669	232	16	library	library	NOUN
gc-669	232	17	and	and	CCONJ
gc-669	232	18	user	user	NOUN
gc-669	232	19	’s	’s	PART
gc-669	232	20	guide	guide	NOUN
gc-669	232	21	.	.	PUNCT
gc-669	233	1	–	–	PUNCT
gc-669	233	2	oxford	oxford	PROPN
gc-669	233	3	university	university	NOUN
gc-669	233	4	press	press	NOUN
gc-669	233	5	,	,	PUNCT
gc-669	233	6	new	new	PROPN
gc-669	233	7	york	york	PROPN
gc-669	233	8	,	,	PUNCT
gc-669	233	9	369	369	NUM
gc-669	233	10	p.	p.	NOUN
gc-669	233	11	dövényi	dövényi	PROPN
gc-669	233	12	,	,	PUNCT
gc-669	233	13	z.	z.	PROPN
gc-669	234	1	(	(	PUNCT
gc-669	234	2	ed	ed	NOUN
gc-669	234	3	.	.	PUNCT
gc-669	234	4	)	)	PUNCT
gc-669	235	1	(	(	PUNCT
gc-669	235	2	2010	2010	NUM
gc-669	235	3	):	):	PUNCT
gc-669	235	4	magyarország	magyarország	PROPN
gc-669	235	5	kistájainak	kistájainak	PROPN
gc-669	235	6	katasztere	katasztere	VERB
gc-669	236	1	[	[	X
gc-669	236	2	the	the	DET
gc-669	236	3	cadastre	cadastre	NOUN
gc-669	236	4	of	of	ADP
gc-669	236	5	the	the	DET
gc-669	236	6	hungarian	hungarian	ADJ
gc-669	236	7	small	small	ADJ
gc-669	236	8	regions	region	NOUN
gc-669	236	9	–	–	PUNCT
gc-669	236	10	in	in	ADP
gc-669	236	11	hungarian	hungarian	PROPN
gc-669	236	12	]	]	X
gc-669	236	13	.	.	PUNCT
gc-669	236	14	–	–	PUNCT
gc-669	236	15	mta	mta	PROPN
gc-669	236	16	fki	fki	PROPN
gc-669	236	17	,	,	PUNCT
gc-669	236	18	budapest	budapest	NOUN
gc-669	236	19	,	,	PUNCT
gc-669	236	20	876	876	NUM
gc-669	236	21	p.	p.	NOUN
gc-669	236	22	eldeiry	eldeiry	NOUN
gc-669	236	23	,	,	PUNCT
gc-669	236	24	a.	a.	NOUN
gc-669	236	25	&	&	CCONJ
gc-669	236	26	garcia	garcia	PROPN
gc-669	236	27	,	,	PUNCT
gc-669	236	28	l.	l.	PROPN
gc-669	236	29	(	(	PUNCT
gc-669	236	30	2010	2010	NUM
gc-669	236	31	):	):	PUNCT
gc-669	236	32	comparison	comparison	NOUN
gc-669	236	33	of	of	ADP
gc-669	236	34	ordinary	ordinary	ADJ
gc-669	236	35	kriging	kriging	NOUN
gc-669	236	36	,	,	PUNCT
gc-669	236	37	regression	regression	NOUN
gc-669	236	38	kriging	krige	VERB
gc-669	236	39	,	,	PUNCT
gc-669	236	40	and	and	CCONJ
gc-669	236	41	cokriging	cokrige	VERB
gc-669	236	42	techniques	technique	NOUN
gc-669	236	43	to	to	PART
gc-669	236	44	estimate	estimate	VERB
gc-669	236	45	soil	soil	NOUN
gc-669	236	46	salinity	salinity	NOUN
gc-669	236	47	using	use	VERB
gc-669	236	48	landsat	landsat	NOUN
gc-669	236	49	images	image	NOUN
gc-669	236	50	.	.	PUNCT
gc-669	236	51	–	–	PUNCT
gc-669	236	52	j.	j.	PROPN
gc-669	236	53	irrig	irrig	PROPN
gc-669	236	54	.	.	PUNCT
gc-669	237	1	drain	drain	PROPN
gc-669	237	2	eng	eng	PROPN
gc-669	237	3	.	.	PROPN
gc-669	237	4	,	,	PUNCT
gc-669	237	5	136/6	136/6	NUM
gc-669	237	6	,	,	PUNCT
gc-669	237	7	355–364	355–364	NUM
gc-669	237	8	.	.	PUNCT
gc-669	238	1	geiger	geiger	PROPN
gc-669	238	2	,	,	PUNCT
gc-669	238	3	j.	j.	PROPN
gc-669	238	4	(	(	PUNCT
gc-669	238	5	2006	2006	NUM
gc-669	238	6	):	):	PUNCT
gc-669	238	7	szekvenciális	szekvenciális	PROPN
gc-669	238	8	gaussi	gaussi	PROPN
gc-669	238	9	szimuláció	szimuláció	PROPN
gc-669	238	10	az	az	PROPN
gc-669	238	11	övzátonytestek	övzátonytestek	PROPN
gc-669	238	12	kisléptékű	kisléptékű	PROPN
gc-669	238	13	heterogenitásának	heterogenitásának	PROPN
gc-669	238	14	modellezésében	modellezésében	PROPN
gc-669	239	1	[	[	X
gc-669	239	2	sequential	sequential	ADJ
gc-669	239	3	gaussian	gaussian	ADJ
gc-669	239	4	simulation	simulation	NOUN
gc-669	239	5	in	in	ADP
gc-669	239	6	the	the	DET
gc-669	239	7	modelling	modelling	NOUN
gc-669	239	8	of	of	ADP
gc-669	239	9	small	small	ADJ
gc-669	239	10	-	-	PUNCT
gc-669	239	11	scale	scale	NOUN
gc-669	239	12	heterogeneity	heterogeneity	NOUN
gc-669	239	13	of	of	ADP
gc-669	239	14	point	point	NOUN
gc-669	239	15	-	-	PUNCT
gc-669	239	16	bars	bar	NOUN
gc-669	239	17	–	–	PUNCT
gc-669	239	18	in	in	ADP
gc-669	239	19	hungarian	hungarian	PROPN
gc-669	239	20	,	,	PUNCT
gc-669	239	21	with	with	ADP
gc-669	239	22	an	an	DET
gc-669	239	23	english	english	ADJ
gc-669	239	24	abstract	abstract	NOUN
gc-669	239	25	]	]	X
gc-669	239	26	.	.	PUNCT
gc-669	239	27	–	–	PUNCT
gc-669	239	28	földtani	földtani	ADJ
gc-669	239	29	közlöny	közlöny	NOUN
gc-669	239	30	,	,	PUNCT
gc-669	239	31	136/4	136/4	NUM
gc-669	239	32	,	,	PUNCT
gc-669	239	33	527–546	527–546	NUM
gc-669	239	34	.	.	PUNCT
gc-669	240	1	geiger	geiger	PROPN
gc-669	240	2	,	,	PUNCT
gc-669	240	3	j.	j.	PROPN
gc-669	240	4	(	(	PUNCT
gc-669	240	5	2007	2007	NUM
gc-669	240	6	):	):	PUNCT
gc-669	240	7	geomatematika	geomatematika	X
gc-669	241	1	[	[	X
gc-669	241	2	geomathematics	geomathematic	NOUN
gc-669	241	3	–	–	PUNCT
gc-669	241	4	in	in	ADP
gc-669	241	5	hungarian	hungarian	PROPN
gc-669	241	6	]	]	X
gc-669	241	7	.	.	PUNCT
gc-669	242	1	–	–	PUNCT
gc-669	242	2	jatepress	jatepress	PROPN
gc-669	242	3	,	,	PUNCT
gc-669	242	4	szeged	szeged	PROPN
gc-669	242	5	,	,	PUNCT
gc-669	242	6	117	117	NUM
gc-669	242	7	p.	p.	NOUN
gc-669	242	8	geiger	geiger	PROPN
gc-669	242	9	,	,	PUNCT
gc-669	242	10	j.	j.	PROPN
gc-669	242	11	(	(	PUNCT
gc-669	242	12	2012	2012	NUM
gc-669	242	13	):	):	PUNCT
gc-669	242	14	some	some	DET
gc-669	242	15	thoughts	thought	NOUN
gc-669	242	16	on	on	ADP
gc-669	242	17	the	the	DET
gc-669	242	18	preand	preand	NOUN
gc-669	242	19	post	post	NOUN
gc-669	242	20	-	-	ADJ
gc-669	242	21	processing	processing	NOUN
gc-669	242	22	in	in	ADP
gc-669	242	23	sequential	sequential	ADJ
gc-669	242	24	gaussian	gaussian	ADJ
gc-669	242	25	simulation	simulation	NOUN
gc-669	242	26	and	and	CCONJ
gc-669	242	27	their	their	PRON
gc-669	242	28	effects	effect	NOUN
gc-669	242	29	on	on	ADP
gc-669	242	30	reservoir	reservoir	NOUN
gc-669	242	31	characterization	characterization	NOUN
gc-669	242	32	.	.	PUNCT
gc-669	243	1	–	–	PUNCT
gc-669	243	2	in	in	ADP
gc-669	243	3	:	:	PUNCT
gc-669	243	4	geiger	geiger	PROPN
gc-669	243	5	,	,	PUNCT
gc-669	243	6	j.	j.	PROPN
gc-669	243	7	,	,	PUNCT
gc-669	243	8	pál	pál	PROPN
gc-669	243	9	-	-	PUNCT
gc-669	243	10	molnár	molnár	PROPN
gc-669	243	11	,	,	PUNCT
gc-669	243	12	e.	e.	PROPN
gc-669	243	13	&	&	CCONJ
gc-669	243	14	malvić	malvić	PROPN
gc-669	243	15	,	,	PUNCT
gc-669	243	16	t.	t.	PROPN
gc-669	243	17	(	(	PUNCT
gc-669	243	18	eds	eds	PROPN
gc-669	243	19	.	.	PROPN
gc-669	243	20	):	):	PUNCT
gc-669	243	21	new	new	ADJ
gc-669	243	22	horizons	horizon	NOUN
gc-669	243	23	in	in	ADP
gc-669	243	24	central	central	ADJ
gc-669	243	25	european	european	ADJ
gc-669	243	26	geomathematics	geomathematic	NOUN
gc-669	243	27	,	,	PUNCT
gc-669	243	28	geostatistics	geostatistic	NOUN
gc-669	243	29	and	and	CCONJ
gc-669	243	30	geo	geo	PROPN
gc-669	243	31	infor	infor	PROPN
gc-669	243	32	matics	matics	PROPN
gc-669	243	33	.	.	PUNCT
gc-669	244	1	–	–	PUNCT
gc-669	244	2	geolitera	geolitera	NOUN
gc-669	244	3	,	,	PUNCT
gc-669	244	4	szeged	szeged	PROPN
gc-669	244	5	,	,	PUNCT
gc-669	244	6	17–34	17–34	NUM
gc-669	244	7	.	.	PUNCT
gc-669	245	1	geiger	geiger	PROPN
gc-669	245	2	,	,	PUNCT
gc-669	245	3	j.	j.	PROPN
gc-669	245	4	&	&	CCONJ
gc-669	245	5	mucsi	mucsi	PROPN
gc-669	245	6	,	,	PUNCT
gc-669	245	7	l.	l.	PROPN
gc-669	245	8	(	(	PUNCT
gc-669	245	9	2005	2005	NUM
gc-669	245	10	):	):	PUNCT
gc-669	245	11	a	a	DET
gc-669	245	12	szekvenciális	szekvenciális	PROPN
gc-669	245	13	sztochasztikus	sztochasztikus	PROPN
gc-669	245	14	szimuláció	szimuláció	PROPN
gc-669	245	15	előnyei	előnyei	DET
gc-669	245	16	a	a	DET
gc-669	245	17	talajvízszint	talajvízszint	NOUN
gc-669	245	18	kisléptékű	kisléptékű	PROPN
gc-669	245	19	heterogenitásának	heterogenitásának	PROPN
gc-669	245	20	térképezésében	térképezésében	PROPN
gc-669	246	1	[	[	X
gc-669	246	2	the	the	DET
gc-669	246	3	advantages	advantage	NOUN
gc-669	246	4	of	of	ADP
gc-669	246	5	stochastic	stochastic	ADJ
gc-669	246	6	simulation	simulation	NOUN
gc-669	246	7	in	in	ADP
gc-669	246	8	mapping	map	VERB
gc-669	246	9	the	the	DET
gc-669	246	10	small	small	ADJ
gc-669	246	11	-	-	PUNCT
gc-669	246	12	scale	scale	NOUN
gc-669	246	13	heterogeneity	heterogeneity	NOUN
gc-669	246	14	of	of	ADP
gc-669	246	15	water	water	NOUN
gc-669	246	16	tables	table	NOUN
gc-669	246	17	–	–	PUNCT
gc-669	246	18	in	in	ADP
gc-669	246	19	hungarian	hungarian	PROPN
gc-669	246	20	,	,	PUNCT
gc-669	246	21	with	with	ADP
gc-669	246	22	an	an	DET
gc-669	246	23	english	english	ADJ
gc-669	246	24	abstract	abstract	NOUN
gc-669	246	25	]	]	X
gc-669	246	26	.	.	PUNCT
gc-669	246	27	–	–	PUNCT
gc-669	247	1	hidrológiai	hidrológiai	ADP
gc-669	247	2	közlöny	közlöny	NOUN
gc-669	247	3	,	,	PUNCT
gc-669	247	4	85/2	85/2	NUM
gc-669	247	5	,	,	PUNCT
gc-669	247	6	37–47	37–47	NUM
gc-669	247	7	.	.	PUNCT
gc-669	248	1	goovaerts	goovaert	NOUN
gc-669	248	2	,	,	PUNCT
gc-669	248	3	p.	p.	NOUN
gc-669	248	4	(	(	PUNCT
gc-669	248	5	1997	1997	NUM
gc-669	248	6	):	):	PUNCT
gc-669	248	7	geostatistics	geostatistic	NOUN
gc-669	248	8	for	for	ADP
gc-669	248	9	natural	natural	ADJ
gc-669	248	10	resources	resource	NOUN
gc-669	248	11	evaluation	evaluation	NOUN
gc-669	248	12	.	.	PUNCT
gc-669	249	1	–	–	PUNCT
gc-669	249	2	oxford	oxford	PROPN
gc-669	249	3	university	university	NOUN
gc-669	249	4	press	press	NOUN
gc-669	249	5	,	,	PUNCT
gc-669	249	6	new	new	PROPN
gc-669	249	7	york	york	PROPN
gc-669	249	8	,	,	PUNCT
gc-669	249	9	512	512	NUM
gc-669	249	10	p.	p.	NOUN
gc-669	249	11	goovaerts	goovaerts	PROPN
gc-669	249	12	,	,	PUNCT
gc-669	249	13	p.	p.	NOUN
gc-669	249	14	(	(	PUNCT
gc-669	249	15	2000	2000	NUM
gc-669	249	16	):	):	PUNCT
gc-669	249	17	estimation	estimation	NOUN
gc-669	249	18	or	or	CCONJ
gc-669	249	19	simulation	simulation	NOUN
gc-669	249	20	of	of	ADP
gc-669	249	21	soil	soil	NOUN
gc-669	249	22	properties	property	NOUN
gc-669	249	23	?	?	PUNCT
gc-669	250	1	an	an	DET
gc-669	250	2	optimization	optimization	NOUN
gc-669	250	3	problem	problem	NOUN
gc-669	250	4	with	with	ADP
gc-669	250	5	conflicting	conflicting	ADJ
gc-669	250	6	criteria	criterion	NOUN
gc-669	250	7	.	.	PUNCT
gc-669	250	8	–	–	PUNCT
gc-669	250	9	geoderma	geoderma	NOUN
gc-669	250	10	,	,	PUNCT
gc-669	250	11	97	97	NUM
gc-669	250	12	,	,	PUNCT
gc-669	250	13	165–186	165–186	NUM
gc-669	250	14	.	.	PUNCT
gc-669	251	1	goovaerts	goovaert	NOUN
gc-669	251	2	,	,	PUNCT
gc-669	251	3	p.	p.	NOUN
gc-669	251	4	(	(	PUNCT
gc-669	251	5	2001	2001	NUM
gc-669	251	6	):	):	PUNCT
gc-669	251	7	geostatistical	geostatistical	ADJ
gc-669	251	8	modelling	modelling	NOUN
gc-669	251	9	of	of	ADP
gc-669	251	10	uncertainty	uncertainty	NOUN
gc-669	251	11	in	in	ADP
gc-669	251	12	soil	soil	NOUN
gc-669	251	13	science	science	NOUN
gc-669	251	14	.	.	PUNCT
gc-669	251	15	–	–	PUNCT
gc-669	251	16	geoderma	geoderma	NOUN
gc-669	251	17	,	,	PUNCT
gc-669	251	18	103	103	NUM
gc-669	251	19	,	,	PUNCT
gc-669	251	20	3–26	3–26	NUM
gc-669	251	21	.	.	PUNCT
gc-669	252	1	goovaerts	goovaert	NOUN
gc-669	252	2	,	,	PUNCT
gc-669	252	3	p.	p.	NOUN
gc-669	252	4	(	(	PUNCT
gc-669	252	5	2010	2010	NUM
gc-669	252	6	):	):	PUNCT
gc-669	252	7	combining	combine	VERB
gc-669	252	8	areal	areal	NOUN
gc-669	252	9	and	and	CCONJ
gc-669	252	10	point	point	VERB
gc-669	252	11	data	datum	NOUN
gc-669	252	12	in	in	ADP
gc-669	252	13	geostatistical	geostatistical	ADJ
gc-669	252	14	interpolation	interpolation	NOUN
gc-669	252	15	:	:	PUNCT
gc-669	252	16	applications	application	NOUN
gc-669	252	17	to	to	PART
gc-669	252	18	soil	soil	VERB
gc-669	252	19	science	science	NOUN
gc-669	252	20	and	and	CCONJ
gc-669	252	21	medical	medical	ADJ
gc-669	252	22	geography	geography	NOUN
gc-669	252	23	.	.	PUNCT
gc-669	252	24	–	–	PUNCT
gc-669	252	25	math	math	NOUN
gc-669	252	26	.	.	PUNCT
gc-669	253	1	geosci	geosci	PROPN
gc-669	253	2	.	.	PUNCT
gc-669	253	3	,	,	PUNCT
gc-669	253	4	42	42	NUM
gc-669	253	5	,	,	PUNCT
gc-669	253	6	535–554	535–554	NUM
gc-669	253	7	.	.	PUNCT
gc-669	254	1	goovaerts	goovaert	NOUN
gc-669	254	2	,	,	PUNCT
gc-669	254	3	p.	p.	NOUN
gc-669	254	4	(	(	PUNCT
gc-669	254	5	2011	2011	NUM
gc-669	254	6	):	):	PUNCT
gc-669	254	7	a	a	DET
gc-669	254	8	coherent	coherent	ADJ
gc-669	254	9	geostatistical	geostatistical	ADJ
gc-669	254	10	approach	approach	NOUN
gc-669	254	11	for	for	ADP
gc-669	254	12	combining	combine	VERB
gc-669	254	13	choropleth	choropleth	NOUN
gc-669	254	14	map	map	NOUN
gc-669	254	15	and	and	CCONJ
gc-669	254	16	field	field	NOUN
gc-669	254	17	data	datum	NOUN
gc-669	254	18	in	in	ADP
gc-669	254	19	the	the	DET
gc-669	254	20	spatial	spatial	ADJ
gc-669	254	21	interpolation	interpolation	NOUN
gc-669	254	22	of	of	ADP
gc-669	254	23	soil	soil	NOUN
gc-669	254	24	properties	property	NOUN
gc-669	254	25	.	.	PUNCT
gc-669	254	26	–	–	PUNCT
gc-669	254	27	eur	eur	PROPN
gc-669	254	28	.	.	PUNCT
gc-669	255	1	j.	j.	PROPN
gc-669	255	2	soil	soil	PROPN
gc-669	255	3	sci	sci	PROPN
gc-669	255	4	.	.	PROPN
gc-669	255	5	,	,	PUNCT
gc-669	255	6	62	62	NUM
gc-669	255	7	,	,	PUNCT
gc-669	255	8	371–380	371–380	NUM
gc-669	255	9	.	.	PUNCT
gc-669	256	1	hengl	hengl	PROPN
gc-669	256	2	,	,	PUNCT
gc-669	256	3	t.	t.	PROPN
gc-669	256	4	,	,	PUNCT
gc-669	256	5	heuvelink	heuvelink	VERB
gc-669	256	6	,	,	PUNCT
gc-669	256	7	g.b.m	g.b.m	PROPN
gc-669	256	8	.	.	PROPN
gc-669	256	9	&	&	CCONJ
gc-669	256	10	stein	stein	PROPN
gc-669	256	11	,	,	PUNCT
gc-669	256	12	a.	a.	PROPN
gc-669	256	13	(	(	PUNCT
gc-669	256	14	2003	2003	NUM
gc-669	256	15	):	):	PUNCT
gc-669	256	16	comparison	comparison	NOUN
gc-669	256	17	of	of	ADP
gc-669	256	18	kriging	krige	VERB
gc-669	256	19	with	with	ADP
gc-669	256	20	external	external	ADJ
gc-669	256	21	drift	drift	NOUN
gc-669	256	22	and	and	CCONJ
gc-669	256	23	regression	regression	NOUN
gc-669	256	24	-	-	PUNCT
gc-669	256	25	kriging	krige	VERB
gc-669	256	26	(	(	PUNCT
gc-669	256	27	technical	technical	ADJ
gc-669	256	28	report	report	NOUN
gc-669	256	29	)	)	PUNCT
gc-669	256	30	.	.	PUNCT
gc-669	256	31	–	–	PUNCT
gc-669	256	32	international	international	PROPN
gc-669	256	33	institute	institute	NOUN
gc-669	256	34	for	for	ADP
gc-669	256	35	geo	geo	PROPN
gc-669	256	36	-	-	PUNCT
gc-669	256	37	information	information	NOUN
gc-669	256	38	science	science	NOUN
gc-669	256	39	and	and	CCONJ
gc-669	256	40	earth	earth	NOUN
gc-669	256	41	observation	observation	NOUN
gc-669	256	42	(	(	PUNCT
gc-669	256	43	itc	itc	PROPN
gc-669	256	44	)	)	PUNCT
gc-669	256	45	,	,	PUNCT
gc-669	256	46	enschede	enschede	PROPN
gc-669	256	47	,	,	PUNCT
gc-669	256	48	18	18	NUM
gc-669	256	49	p.	p.	PROPN
gc-669	256	50	hengl	hengl	PROPN
gc-669	256	51	,	,	PUNCT
gc-669	256	52	t.	t.	PROPN
gc-669	256	53	,	,	PUNCT
gc-669	256	54	heuvelink	heuvelink	VERB
gc-669	256	55	,	,	PUNCT
gc-669	256	56	g.b.m	g.b.m	PROPN
gc-669	256	57	.	.	PROPN
gc-669	256	58	&	&	CCONJ
gc-669	256	59	stein	stein	PROPN
gc-669	256	60	,	,	PUNCT
gc-669	256	61	a.	a.	PROPN
gc-669	256	62	(	(	PUNCT
gc-669	256	63	2004	2004	NUM
gc-669	256	64	):	):	PUNCT
gc-669	256	65	a	a	DET
gc-669	256	66	generic	generic	ADJ
gc-669	256	67	framework	framework	NOUN
gc-669	256	68	for	for	ADP
gc-669	256	69	spatial	spatial	ADJ
gc-669	256	70	prediction	prediction	NOUN
gc-669	256	71	of	of	ADP
gc-669	256	72	soil	soil	NOUN
gc-669	256	73	variables	variable	NOUN
gc-669	256	74	based	base	VERB
gc-669	256	75	on	on	ADP
gc-669	256	76	regression	regression	NOUN
gc-669	256	77	-	-	PUNCT
gc-669	256	78	kriging	krige	VERB
gc-669	256	79	.	.	PUNCT
gc-669	256	80	–	–	PUNCT
gc-669	256	81	geoderma	geoderma	NOUN
gc-669	256	82	,	,	PUNCT
gc-669	256	83	120	120	NUM
gc-669	256	84	,	,	PUNCT
gc-669	256	85	75–93	75–93	NUM
gc-669	256	86	.	.	PUNCT
gc-669	257	1	kerry	kerry	PROPN
gc-669	257	2	,	,	PUNCT
gc-669	257	3	r.	r.	PROPN
gc-669	257	4	,	,	PUNCT
gc-669	257	5	goovaerts	goovaert	NOUN
gc-669	257	6	,	,	PUNCT
gc-669	257	7	p.	p.	PROPN
gc-669	257	8	,	,	PUNCT
gc-669	257	9	rawlins	rawlins	PROPN
gc-669	257	10	,	,	PUNCT
gc-669	257	11	b.g	b.g	PROPN
gc-669	257	12	.	.	PROPN
gc-669	257	13	&	&	CCONJ
gc-669	257	14	marchant	marchant	PROPN
gc-669	257	15	,	,	PUNCT
gc-669	257	16	b.p	b.p	PROPN
gc-669	257	17	.	.	PROPN
gc-669	257	18	(	(	PUNCT
gc-669	257	19	2012	2012	NUM
gc-669	257	20	):	):	PUNCT
gc-669	257	21	disaggregation	disaggregation	NOUN
gc-669	257	22	of	of	ADP
gc-669	257	23	legacy	legacy	NOUN
gc-669	257	24	soil	soil	NOUN
gc-669	257	25	data	datum	NOUN
gc-669	257	26	using	use	VERB
gc-669	257	27	area	area	NOUN
gc-669	257	28	to	to	PART
gc-669	257	29	point	point	VERB
gc-669	257	30	kriging	krige	VERB
gc-669	257	31	for	for	ADP
gc-669	257	32	mapping	map	VERB
gc-669	257	33	soil	soil	NOUN
gc-669	257	34	organic	organic	ADJ
gc-669	257	35	carbon	carbon	NOUN
gc-669	257	36	at	at	ADP
gc-669	257	37	the	the	DET
gc-669	257	38	regional	regional	ADJ
gc-669	257	39	scale	scale	NOUN
gc-669	257	40	.	.	PUNCT
gc-669	257	41	–	–	PUNCT
gc-669	257	42	geoderma	geoderma	NOUN
gc-669	257	43	,	,	PUNCT
gc-669	257	44	170	170	NUM
gc-669	257	45	,	,	PUNCT
gc-669	257	46	347–358	347–358	NUM
gc-669	257	47	.	.	PUNCT
gc-669	257	48	malvić	malvić	NOUN
gc-669	257	49	,	,	PUNCT
gc-669	257	50	t.	t.	PROPN
gc-669	257	51	(	(	PUNCT
gc-669	257	52	2008	2008	NUM
gc-669	257	53	):	):	PUNCT
gc-669	257	54	kriging	krige	VERB
gc-669	257	55	,	,	PUNCT
gc-669	257	56	cokriging	cokriging	NOUN
gc-669	257	57	or	or	CCONJ
gc-669	257	58	stochastical	stochastical	ADJ
gc-669	257	59	simulations	simulation	NOUN
gc-669	257	60	,	,	PUNCT
gc-669	257	61	and	and	CCONJ
gc-669	257	62	the	the	DET
gc-669	257	63	choice	choice	NOUN
gc-669	257	64	between	between	ADP
gc-669	257	65	deterministic	deterministic	ADJ
gc-669	257	66	or	or	CCONJ
gc-669	257	67	sequential	sequential	ADJ
gc-669	257	68	approaches	approach	NOUN
gc-669	257	69	.	.	PUNCT
gc-669	257	70	–	–	PUNCT
gc-669	257	71	geol	geol	NOUN
gc-669	257	72	.	.	PUNCT
gc-669	258	1	croat	croat	PROPN
gc-669	258	2	.	.	PUNCT
gc-669	258	3	,	,	PUNCT
gc-669	258	4	61/1	61/1	NUM
gc-669	258	5	,	,	PUNCT
gc-669	258	6	37–47	37–47	NUM
gc-669	258	7	.	.	PUNCT
gc-669	258	8	malvić	malvić	NOUN
gc-669	258	9	,	,	PUNCT
gc-669	258	10	t.	t.	PROPN
gc-669	258	11	,	,	PUNCT
gc-669	258	12	novak	novak	PROPN
gc-669	258	13	zelenika	zelenika	PROPN
gc-669	258	14	,	,	PUNCT
gc-669	258	15	k.	k.	PROPN
gc-669	258	16	&	&	CCONJ
gc-669	258	17	cvetković	cvetković	PROPN
gc-669	258	18	,	,	PUNCT
gc-669	258	19	m.	m.	NOUN
gc-669	258	20	(	(	PUNCT
gc-669	258	21	2012	2012	NUM
gc-669	258	22	):	):	PUNCT
gc-669	258	23	indicator	indicator	NOUN
gc-669	258	24	vs.	vs.	ADP
gc-669	258	25	gaussian	gaussian	ADJ
gc-669	258	26	geostatistical	geostatistical	ADJ
gc-669	258	27	methods	method	NOUN
gc-669	258	28	in	in	ADP
gc-669	258	29	sandstone	sandstone	NOUN
gc-669	258	30	reservoirs	reservoir	NOUN
gc-669	258	31	–	–	PUNCT
gc-669	258	32	case	case	NOUN
gc-669	258	33	study	study	NOUN
gc-669	258	34	from	from	ADP
gc-669	258	35	the	the	DET
gc-669	258	36	sava	sava	PROPN
gc-669	258	37	depression	depression	PROPN
gc-669	258	38	,	,	PUNCT
gc-669	258	39	croatia	croatia	PROPN
gc-669	258	40	.	.	PUNCT
gc-669	258	41	–	–	PUNCT
gc-669	258	42	in	in	ADP
gc-669	258	43	:	:	PUNCT
gc-669	258	44	geiger	geiger	PROPN
gc-669	258	45	,	,	PUNCT
gc-669	258	46	j.	j.	PROPN
gc-669	258	47	,	,	PUNCT
gc-669	258	48	pál	pál	PROPN
gc-669	258	49	-	-	PUNCT
gc-669	258	50	molnár	molnár	PROPN
gc-669	258	51	e.	e.	PROPN
gc-669	258	52	&	&	CCONJ
gc-669	258	53	malvić	malvić	PROPN
gc-669	258	54	,	,	PUNCT
gc-669	258	55	t.	t.	PROPN
gc-669	258	56	(	(	PUNCT
gc-669	258	57	eds	eds	PROPN
gc-669	258	58	.	.	PROPN
gc-669	258	59	):	):	PUNCT
gc-669	258	60	new	new	ADJ
gc-669	258	61	horizons	horizon	NOUN
gc-669	258	62	in	in	ADP
gc-669	258	63	central	central	ADJ
gc-669	258	64	european	european	ADJ
gc-669	258	65	geomathematics	geomathematic	NOUN
gc-669	258	66	,	,	PUNCT
gc-669	258	67	geostatistics	geostatistic	NOUN
gc-669	258	68	and	and	CCONJ
gc-669	258	69	geoinformatics	geoinformatic	NOUN
gc-669	258	70	.	.	PUNCT
gc-669	258	71	–	–	PUNCT
gc-669	258	72	geolitera	geolitera	NOUN
gc-669	258	73	,	,	PUNCT
gc-669	258	74	szeged	szeged	PROPN
gc-669	258	75	,	,	PUNCT
gc-669	258	76	37–45	37–45	NUM
gc-669	258	77	.	.	PUNCT
gc-669	258	78	mcbratney	mcbratney	NOUN
gc-669	258	79	,	,	PUNCT
gc-669	258	80	a.b	a.b	PROPN
gc-669	258	81	.	.	PROPN
gc-669	258	82	,	,	PUNCT
gc-669	258	83	mendonca	mendonca	PROPN
gc-669	258	84	santos	santos	PROPN
gc-669	258	85	,	,	PUNCT
gc-669	258	86	m.l	m.l	PROPN
gc-669	258	87	.	.	PROPN
gc-669	258	88	&	&	CCONJ
gc-669	258	89	minasny	minasny	PROPN
gc-669	258	90	,	,	PUNCT
gc-669	258	91	b.	b.	PROPN
gc-669	258	92	(	(	PUNCT
gc-669	258	93	2003	2003	NUM
gc-669	258	94	):	):	PUNCT
gc-669	258	95	on	on	ADP
gc-669	258	96	digital	digital	ADJ
gc-669	258	97	soil	soil	NOUN
gc-669	258	98	mapping	mapping	NOUN
gc-669	258	99	.	.	PUNCT
gc-669	258	100	–	–	PUNCT
gc-669	259	1	geoderma	geoderma	NOUN
gc-669	259	2	,	,	PUNCT
gc-669	259	3	117	117	NUM
gc-669	259	4	,	,	PUNCT
gc-669	259	5	3–52	3–52	NUM
gc-669	259	6	.	.	PUNCT
gc-669	260	1	minasny	minasny	PROPN
gc-669	260	2	,	,	PUNCT
gc-669	260	3	b.	b.	PROPN
gc-669	260	4	&	&	CCONJ
gc-669	260	5	mcbratney	mcbratney	PROPN
gc-669	260	6	,	,	PUNCT
gc-669	260	7	a.b	a.b	PROPN
gc-669	260	8	.	.	PROPN
gc-669	260	9	(	(	PUNCT
gc-669	260	10	2007	2007	NUM
gc-669	260	11	):	):	PUNCT
gc-669	260	12	spatial	spatial	ADJ
gc-669	260	13	prediction	prediction	NOUN
gc-669	260	14	of	of	ADP
gc-669	260	15	soil	soil	NOUN
gc-669	260	16	properties	property	NOUN
gc-669	260	17	using	use	VERB
gc-669	260	18	eblup	eblup	NOUN
gc-669	260	19	with	with	ADP
gc-669	260	20	the	the	DET
gc-669	260	21	matérn	matérn	NOUN
gc-669	260	22	covariance	covariance	NOUN
gc-669	260	23	function	function	NOUN
gc-669	260	24	.	.	PUNCT
gc-669	261	1	–	–	PUNCT
gc-669	261	2	geo	geo	PROPN
gc-669	261	3	derma	derma	NOUN
gc-669	261	4	,	,	PUNCT
gc-669	261	5	140	140	NUM
gc-669	261	6	,	,	PUNCT
gc-669	261	7	324–336	324–336	NUM
gc-669	261	8	.	.	PUNCT
gc-669	262	1	mucsi	mucsi	PROPN
gc-669	262	2	,	,	PUNCT
gc-669	262	3	l.	l.	PROPN
gc-669	262	4	,	,	PUNCT
gc-669	262	5	geiger	geiger	PROPN
gc-669	262	6	,	,	PUNCT
gc-669	262	7	j.	j.	PROPN
gc-669	262	8	&	&	CCONJ
gc-669	262	9	malvić	malvić	PROPN
gc-669	262	10	,	,	PUNCT
gc-669	262	11	t.	t.	PROPN
gc-669	262	12	(	(	PUNCT
gc-669	262	13	2013	2013	NUM
gc-669	262	14	):	):	PUNCT
gc-669	262	15	the	the	DET
gc-669	262	16	advantages	advantage	NOUN
gc-669	262	17	of	of	ADP
gc-669	262	18	using	use	VERB
gc-669	262	19	sequential	sequential	ADJ
gc-669	262	20	stochastic	stochastic	ADJ
gc-669	262	21	simulations	simulation	NOUN
gc-669	262	22	when	when	SCONJ
gc-669	262	23	mapping	map	VERB
gc-669	262	24	small	small	ADJ
gc-669	262	25	-	-	PUNCT
gc-669	262	26	scale	scale	NOUN
gc-669	262	27	heterogeneities	heterogeneity	NOUN
gc-669	262	28	of	of	ADP
gc-669	262	29	the	the	DET
gc-669	262	30	groundwater	groundwater	NOUN
gc-669	262	31	level	level	NOUN
gc-669	262	32	.	.	PUNCT
gc-669	262	33	–	–	PUNCT
gc-669	262	34	j.	j.	PROPN
gc-669	262	35	en	en	PROPN
gc-669	262	36	.	.	PUNCT
gc-669	263	1	geo	geo	PROPN
gc-669	263	2	.	.	PROPN
gc-669	263	3	,	,	PUNCT
gc-669	263	4	6/3–4	6/3–4	NOUN
gc-669	263	5	,	,	PUNCT
gc-669	263	6	39–47	39–47	NUM
gc-669	263	7	.	.	PUNCT
gc-669	263	8	doi	doi	NOUN
gc-669	263	9	:	:	PUNCT
gc-669	263	10	10.2478/	10.2478/	NUM
gc-669	263	11	jengeo-2013	jengeo-2013	PROPN
gc-669	263	12	-	-	PUNCT
gc-669	263	13	0005	0005	NUM
gc-669	263	14	msz	msz	PROPN
gc-669	263	15	21470–52:1983	21470–52:1983	PROPN
gc-669	263	16	(	(	PUNCT
gc-669	263	17	1983	1983	NUM
gc-669	263	18	):	):	PUNCT
gc-669	263	19	környezetvédelmi	környezetvédelmi	NOUN
gc-669	263	20	talajvizsgálatok	talajvizsgálatok	NOUN
gc-669	263	21	:	:	PUNCT
gc-669	263	22	talajok	talajok	PROPN
gc-669	263	23	szervesanyag	szervesanyag	PROPN
gc-669	263	24	-	-	PUNCT
gc-669	263	25	tartalmának	tartalmának	NOUN
gc-669	263	26	meghatározása	meghatározása	NOUN
gc-669	263	27	[	[	X
gc-669	263	28	environmental	environmental	ADJ
gc-669	263	29	protection	protection	NOUN
gc-669	263	30	.	.	PUNCT
gc-669	264	1	testing	testing	NOUN
gc-669	264	2	of	of	ADP
gc-669	264	3	soils	soil	NOUN
gc-669	264	4	.	.	PUNCT
gc-669	265	1	determination	determination	NOUN
gc-669	265	2	of	of	ADP
gc-669	265	3	organic	organic	ADJ
gc-669	265	4	matter	matter	NOUN
gc-669	265	5	–	–	PUNCT
gc-669	265	6	in	in	ADP
gc-669	265	7	hungarian	hungarian	PROPN
gc-669	265	8	]	]	X
gc-669	265	9	.	.	PUNCT
gc-669	266	1	–	–	PUNCT
gc-669	266	2	hungarian	hungarian	ADJ
gc-669	266	3	standard	standard	PROPN
gc-669	266	4	association	association	PROPN
gc-669	266	5	,	,	PUNCT
gc-669	266	6	budapest	budapest	PROPN
gc-669	266	7	,	,	PUNCT
gc-669	266	8	4	4	NUM
gc-669	266	9	p.	p.	NOUN
gc-669	266	10	novak	novak	PROPN
gc-669	266	11	zelenika	zelenika	PROPN
gc-669	266	12	,	,	PUNCT
gc-669	266	13	k.	k.	PROPN
gc-669	266	14	&	&	CCONJ
gc-669	266	15	malvić	malvić	PROPN
gc-669	266	16	,	,	PUNCT
gc-669	266	17	t.	t.	PROPN
gc-669	266	18	(	(	PUNCT
gc-669	266	19	2011	2011	NUM
gc-669	266	20	):	):	PUNCT
gc-669	266	21	stochastic	stochastic	ADJ
gc-669	266	22	simulations	simulation	NOUN
gc-669	266	23	of	of	ADP
gc-669	266	24	dependent	dependent	ADJ
gc-669	266	25	geological	geological	ADJ
gc-669	266	26	variables	variable	NOUN
gc-669	266	27	in	in	ADP
gc-669	266	28	sandstone	sandstone	NOUN
gc-669	266	29	reservoirs	reservoir	NOUN
gc-669	266	30	of	of	ADP
gc-669	266	31	neogene	neogene	ADJ
gc-669	266	32	age	age	NOUN
gc-669	266	33	:	:	PUNCT
gc-669	266	34	a	a	DET
gc-669	266	35	case	case	NOUN
gc-669	266	36	study	study	NOUN
gc-669	266	37	of	of	ADP
gc-669	266	38	the	the	DET
gc-669	266	39	kloštar	kloštar	NOUN
gc-669	266	40	field	field	NOUN
gc-669	266	41	,	,	PUNCT
gc-669	266	42	sava	sava	PROPN
gc-669	266	43	depression	depression	PROPN
gc-669	266	44	.	.	PUNCT
gc-669	266	45	–	–	PUNCT
gc-669	266	46	geol	geol	NOUN
gc-669	266	47	.	.	PUNCT
gc-669	267	1	croat	croat	PROPN
gc-669	267	2	.	.	PUNCT
gc-669	267	3	,	,	PUNCT
gc-669	267	4	64/2	64/2	PROPN
gc-669	267	5	,	,	PUNCT
gc-669	267	6	173–183	173–183	NUM
gc-669	267	7	.	.	PUNCT
gc-669	268	1	novak	novak	PROPN
gc-669	268	2	zelenika	zelenika	PROPN
gc-669	268	3	,	,	PUNCT
gc-669	268	4	k.	k.	PROPN
gc-669	268	5	,	,	PUNCT
gc-669	268	6	velić	velić	PROPN
gc-669	268	7	,	,	PUNCT
gc-669	268	8	j.	j.	PROPN
gc-669	268	9	&	&	CCONJ
gc-669	268	10	malvić	malvić	PROPN
gc-669	268	11	,	,	PUNCT
gc-669	268	12	t.	t.	PROPN
gc-669	268	13	(	(	PUNCT
gc-669	268	14	2012	2012	NUM
gc-669	268	15	):	):	PUNCT
gc-669	268	16	application	application	NOUN
gc-669	268	17	of	of	ADP
gc-669	268	18	geostatistics	geostatistic	NOUN
gc-669	268	19	in	in	ADP
gc-669	268	20	the	the	DET
gc-669	268	21	description	description	NOUN
gc-669	268	22	of	of	ADP
gc-669	268	23	turbiditic	turbiditic	ADJ
gc-669	268	24	depositional	depositional	ADJ
gc-669	268	25	environments	environment	NOUN
gc-669	268	26	,	,	PUNCT
gc-669	268	27	a	a	DET
gc-669	268	28	case	case	NOUN
gc-669	268	29	study	study	NOUN
gc-669	268	30	of	of	ADP
gc-669	268	31	the	the	DET
gc-669	268	32	kloštar	kloštar	NOUN
gc-669	268	33	field	field	NOUN
gc-669	268	34	,	,	PUNCT
gc-669	268	35	sava	sava	PROPN
gc-669	268	36	depression	depression	PROPN
gc-669	268	37	,	,	PUNCT
gc-669	268	38	croatia	croatia	PROPN
gc-669	268	39	.	.	PUNCT
gc-669	268	40	–	–	PUNCT
gc-669	268	41	in	in	ADP
gc-669	268	42	:	:	PUNCT
gc-669	268	43	geiger	geiger	PROPN
gc-669	268	44	,	,	PUNCT
gc-669	268	45	j.	j.	PROPN
gc-669	268	46	,	,	PUNCT
gc-669	268	47	pál	pál	PROPN
gc-669	268	48	-	-	PUNCT
gc-669	268	49	molnár	molnár	PROPN
gc-669	268	50	e.	e.	PROPN
gc-669	268	51	&	&	CCONJ
gc-669	268	52	malvić	malvić	PROPN
gc-669	268	53	,	,	PUNCT
gc-669	268	54	t.	t.	PROPN
gc-669	268	55	(	(	PUNCT
gc-669	268	56	eds	eds	PROPN
gc-669	268	57	.	.	PROPN
gc-669	268	58	):	):	PUNCT
gc-669	268	59	new	new	ADJ
gc-669	268	60	horizons	horizon	NOUN
gc-669	268	61	in	in	ADP
gc-669	268	62	central	central	ADJ
gc-669	268	63	european	european	ADJ
gc-669	268	64	geomathematics	geomathematic	NOUN
gc-669	268	65	,	,	PUNCT
gc-669	268	66	geostatistics	geostatistic	NOUN
gc-669	268	67	and	and	CCONJ
gc-669	268	68	geoinformatics	geoinformatic	NOUN
gc-669	268	69	.	.	PUNCT
gc-669	268	70	–	–	PUNCT
gc-669	268	71	geolitera	geolitera	NOUN
gc-669	268	72	,	,	PUNCT
gc-669	268	73	szeged	szeged	PROPN
gc-669	268	74	,	,	PUNCT
gc-669	268	75	61–71	61–71	NOUN
gc-669	268	76	.	.	PUNCT
gc-669	269	1	pásztor	pásztor	PROPN
gc-669	269	2	,	,	PUNCT
gc-669	269	3	l.	l.	PROPN
gc-669	269	4	,	,	PUNCT
gc-669	269	5	körösparti	körösparti	PROPN
gc-669	269	6	,	,	PUNCT
gc-669	269	7	j.	j.	PROPN
gc-669	269	8	,	,	PUNCT
gc-669	269	9	bozán	bozán	PROPN
gc-669	269	10	,	,	PUNCT
gc-669	269	11	cs	cs	PROPN
gc-669	269	12	.	.	PROPN
gc-669	269	13	,	,	PUNCT
gc-669	269	14	laborczi	laborczi	PROPN
gc-669	269	15	,	,	PUNCT
gc-669	269	16	a.	a.	PROPN
gc-669	269	17	&	&	CCONJ
gc-669	269	18	takács	takács	PROPN
gc-669	269	19	,	,	PUNCT
gc-669	269	20	k.	k.	PROPN
gc-669	269	21	(	(	PUNCT
gc-669	269	22	2014a	2014a	NUM
gc-669	269	23	):	):	PUNCT
gc-669	269	24	spatial	spatial	ADJ
gc-669	269	25	risk	risk	NOUN
gc-669	269	26	assessment	assessment	NOUN
gc-669	269	27	of	of	ADP
gc-669	269	28	hydrological	hydrological	ADJ
gc-669	269	29	extremities	extremity	NOUN
gc-669	269	30	:	:	PUNCT
gc-669	269	31	inland	inland	ADJ
gc-669	269	32	excess	excess	ADJ
gc-669	269	33	water	water	NOUN
gc-669	269	34	hazard	hazard	NOUN
gc-669	269	35	,	,	PUNCT
gc-669	269	36	szabolcs	szabolcs	NOUN
gc-669	269	37	-	-	PUNCT
gc-669	269	38	szatmár	szatmár	NOUN
gc-669	269	39	-	-	PUNCT
gc-669	269	40	bereg	bereg	VERB
gc-669	269	41	county	county	NOUN
gc-669	269	42	,	,	PUNCT
gc-669	269	43	hungary	hungary	PROPN
gc-669	269	44	.	.	PUNCT
gc-669	269	45	–	–	PUNCT
gc-669	269	46	journal	journal	NOUN
gc-669	269	47	of	of	ADP
gc-669	269	48	maps	map	NOUN
gc-669	269	49	,	,	PUNCT
gc-669	269	50	doi	doi	NOUN
gc-669	269	51	:	:	PUNCT
gc-669	269	52	10.1080/17445647.2014.954647	10.1080/17445647.2014.954647	NUM
gc-669	269	53	pásztor	pásztor	NOUN
gc-669	269	54	,	,	PUNCT
gc-669	269	55	l.	l.	PROPN
gc-669	269	56	,	,	PUNCT
gc-669	269	57	szabó	szabó	PROPN
gc-669	269	58	,	,	PUNCT
gc-669	269	59	j.	j.	PROPN
gc-669	269	60	,	,	PUNCT
gc-669	269	61	bakacsi	bakacsi	PROPN
gc-669	269	62	,	,	PUNCT
gc-669	269	63	zs	zs	PROPN
gc-669	269	64	.	.	PROPN
gc-669	269	65	,	,	PUNCT
gc-669	269	66	laborczi	laborczi	PROPN
gc-669	269	67	,	,	PUNCT
gc-669	269	68	a.	a.	NOUN
gc-669	269	69	,	,	PUNCT
gc-669	269	70	dobos	dobos	PROPN
gc-669	269	71	,	,	PUNCT
gc-669	269	72	e.	e.	PROPN
gc-669	269	73	,	,	PUNCT
gc-669	269	74	illés	illés	PROPN
gc-669	269	75	,	,	PUNCT
gc-669	269	76	g.	g.	PROPN
gc-669	269	77	&	&	CCONJ
gc-669	269	78	szatmári	szatmári	PROPN
gc-669	269	79	,	,	PUNCT
gc-669	269	80	g.	g.	PROPN
gc-669	269	81	(	(	PUNCT
gc-669	269	82	2014b	2014b	NUM
gc-669	269	83	):	):	PUNCT
gc-669	269	84	elaboration	elaboration	NOUN
gc-669	269	85	of	of	ADP
gc-669	269	86	novel	novel	NOUN
gc-669	269	87	,	,	PUNCT
gc-669	269	88	countrywide	countrywide	NOUN
gc-669	269	89	maps	map	NOUN
gc-669	269	90	for	for	ADP
gc-669	269	91	the	the	DET
gc-669	269	92	satisfaction	satisfaction	NOUN
gc-669	269	93	of	of	ADP
gc-669	269	94	recent	recent	ADJ
gc-669	269	95	demands	demand	NOUN
gc-669	269	96	on	on	ADP
gc-669	269	97	spatial	spatial	ADJ
gc-669	269	98	,	,	PUNCT
gc-669	269	99	soil	soil	NOUN
gc-669	269	100	related	relate	VERB
gc-669	269	101	information	information	NOUN
gc-669	269	102	in	in	ADP
gc-669	269	103	hungary	hungary	PROPN
gc-669	269	104	.	.	PUNCT
gc-669	269	105	–	–	PUNCT
gc-669	269	106	in	in	ADP
gc-669	269	107	:	:	PUNCT
gc-669	269	108	arrouays	arrouay	NOUN
gc-669	269	109	,	,	PUNCT
gc-669	269	110	d.	d.	PROPN
gc-669	269	111	,	,	PUNCT
gc-669	269	112	mckenzie	mckenzie	PROPN
gc-669	269	113	,	,	PUNCT
gc-669	269	114	n.	n.	PROPN
gc-669	269	115	,	,	PUNCT
gc-669	269	116	hempel	hempel	PROPN
gc-669	269	117	,	,	PUNCT
gc-669	269	118	j.	j.	PROPN
gc-669	269	119	,	,	PUNCT
gc-669	269	120	richer	rich	ADJ
gc-669	269	121	de	de	ADP
gc-669	269	122	forges	forge	NOUN
gc-669	269	123	,	,	PUNCT
gc-669	269	124	a.	a.	NOUN
gc-669	269	125	&	&	CCONJ
gc-669	269	126	mcbratney	mcbratney	PROPN
gc-669	269	127	,	,	PUNCT
gc-669	269	128	a.b	a.b	PROPN
gc-669	269	129	.	.	PROPN
gc-669	269	130	(	(	PUNCT
gc-669	269	131	eds	ed	NOUN
gc-669	269	132	.	.	PUNCT
gc-669	269	133	):	):	PUNCT
gc-669	269	134	global	global	ADJ
gc-669	269	135	soil	soil	NOUN
gc-669	269	136	map	map	NOUN
gc-669	269	137	:	:	PUNCT
gc-669	269	138	basis	basis	NOUN
gc-669	269	139	of	of	ADP
gc-669	269	140	the	the	DET
gc-669	269	141	global	global	ADJ
gc-669	269	142	spatial	spatial	ADJ
gc-669	269	143	soil	soil	NOUN
gc-669	269	144	information	information	NOUN
gc-669	269	145	system	system	NOUN
gc-669	269	146	.	.	PUNCT
gc-669	269	147	–	–	PUNCT
gc-669	269	148	taylor	taylor	PROPN
gc-669	269	149	&	&	CCONJ
gc-669	269	150	francis	francis	PROPN
gc-669	269	151	,	,	PUNCT
gc-669	269	152	london	london	PROPN
gc-669	269	153	,	,	PUNCT
gc-669	269	154	207–212	207–212	NUM
gc-669	269	155	.	.	PUNCT
gc-669	270	1	phillips	phillips	PROPN
gc-669	270	2	,	,	PUNCT
gc-669	270	3	j.d	j.d	PROPN
gc-669	270	4	.	.	PROPN
gc-669	270	5	(	(	PUNCT
gc-669	270	6	1998	1998	NUM
gc-669	270	7	):	):	PUNCT
gc-669	270	8	on	on	ADP
gc-669	270	9	the	the	DET
gc-669	270	10	relations	relation	NOUN
gc-669	270	11	between	between	ADP
gc-669	270	12	complex	complex	ADJ
gc-669	270	13	systems	system	NOUN
gc-669	270	14	and	and	CCONJ
gc-669	270	15	the	the	DET
gc-669	270	16	factorial	factorial	ADJ
gc-669	270	17	model	model	NOUN
gc-669	270	18	of	of	ADP
gc-669	270	19	soil	soil	NOUN
gc-669	270	20	formation	formation	NOUN
gc-669	270	21	(	(	PUNCT
gc-669	270	22	with	with	ADP
gc-669	270	23	discussion	discussion	NOUN
gc-669	270	24	)	)	PUNCT
gc-669	270	25	.	.	PUNCT
gc-669	270	26	–	–	PUNCT
gc-669	270	27	geoderma	geoderma	NOUN
gc-669	270	28	,	,	PUNCT
gc-669	270	29	86	86	NUM
gc-669	270	30	,	,	PUNCT
gc-669	271	1	1–42	1–42	PROPN
gc-669	271	2	.	.	PUNCT
gc-669	271	3	simbahan	simbahan	PROPN
gc-669	271	4	,	,	PUNCT
gc-669	271	5	g.c	g.c	PROPN
gc-669	271	6	.	.	PROPN
gc-669	271	7	,	,	PUNCT
gc-669	271	8	dobermann	dobermann	PROPN
gc-669	271	9	,	,	PUNCT
gc-669	271	10	a.	a.	PROPN
gc-669	271	11	,	,	PUNCT
gc-669	271	12	goovaerts	goovaert	NOUN
gc-669	271	13	,	,	PUNCT
gc-669	271	14	p.	p.	NOUN
gc-669	271	15	,	,	PUNCT
gc-669	271	16	ping	ping	PROPN
gc-669	271	17	,	,	PUNCT
gc-669	271	18	j.	j.	PROPN
gc-669	271	19	&	&	CCONJ
gc-669	271	20	haddix	haddix	PROPN
gc-669	271	21	,	,	PUNCT
gc-669	271	22	m.l	m.l	PROPN
gc-669	271	23	.	.	PUNCT
gc-669	271	24	(	(	PUNCT
gc-669	271	25	2006	2006	NUM
gc-669	271	26	):	):	PUNCT
gc-669	271	27	fine	fine	ADJ
gc-669	271	28	-	-	PUNCT
gc-669	271	29	resolution	resolution	NOUN
gc-669	271	30	mapping	mapping	NOUN
gc-669	271	31	of	of	ADP
gc-669	271	32	soil	soil	NOUN
gc-669	271	33	organic	organic	ADJ
gc-669	271	34	carbon	carbon	NOUN
gc-669	271	35	based	base	VERB
gc-669	271	36	on	on	ADP
gc-669	271	37	multivariate	multivariate	NOUN
gc-669	271	38	secondary	secondary	ADJ
gc-669	271	39	data	datum	NOUN
gc-669	271	40	.	.	PUNCT
gc-669	271	41	–	–	PUNCT
gc-669	271	42	geoderma	geoderma	NOUN
gc-669	271	43	,	,	PUNCT
gc-669	271	44	132	132	NUM
gc-669	271	45	,	,	PUNCT
gc-669	271	46	471–489	471–489	NUM
gc-669	271	47	.	.	PUNCT
gc-669	271	48	szatmári	szatmári	PROPN
gc-669	271	49	,	,	PUNCT
gc-669	271	50	g.	g.	PROPN
gc-669	271	51	&	&	CCONJ
gc-669	271	52	barta	barta	PROPN
gc-669	271	53	,	,	PUNCT
gc-669	271	54	k.	k.	PROPN
gc-669	271	55	(	(	PUNCT
gc-669	271	56	2013	2013	NUM
gc-669	271	57	):	):	PUNCT
gc-669	271	58	csernozjom	csernozjom	PROPN
gc-669	271	59	talajok	talajok	PROPN
gc-669	271	60	szervesanyagtartalmának	szervesanyagtartalmának	PROPN
gc-669	271	61	digitalis	digitali	VERB
gc-669	271	62	térképezése	térképezése	NOUN
gc-669	271	63	erózióval	erózióval	NOUN
gc-669	271	64	veszélyeztetett	veszélyeztetett	PROPN
gc-669	271	65	mezőföldi	mezőföldi	NOUN
gc-669	271	66	területen	területen	VERB
gc-669	272	1	[	[	PUNCT
gc-669	272	2	digital	digital	ADJ
gc-669	272	3	mapping	mapping	NOUN
gc-669	272	4	of	of	ADP
gc-669	272	5	the	the	DET
gc-669	272	6	organic	organic	ADJ
gc-669	272	7	matter	matter	NOUN
gc-669	272	8	content	content	NOUN
gc-669	272	9	of	of	ADP
gc-669	272	10	chernozem	chernozem	ADJ
gc-669	272	11	soils	soil	NOUN
gc-669	272	12	on	on	ADP
gc-669	272	13	an	an	DET
gc-669	272	14	area	area	NOUN
gc-669	272	15	endangered	endanger	VERB
gc-669	272	16	by	by	ADP
gc-669	272	17	erosion	erosion	NOUN
gc-669	272	18	in	in	ADP
gc-669	272	19	the	the	DET
gc-669	272	20	mezőföld	mezőföld	NOUN
gc-669	272	21	region	region	NOUN
gc-669	272	22	–	–	PUNCT
gc-669	272	23	in	in	ADP
gc-669	272	24	hungarian	hungarian	PROPN
gc-669	272	25	,	,	PUNCT
gc-669	272	26	with	with	ADP
gc-669	272	27	an	an	DET
gc-669	272	28	english	english	ADJ
gc-669	272	29	abstract	abstract	NOUN
gc-669	272	30	]	]	X
gc-669	272	31	.	.	PUNCT
gc-669	272	32	–	–	PUNCT
gc-669	272	33	agrokem	agrokem	NOUN
gc-669	272	34	.	.	PUNCT
gc-669	273	1	talajtan	talajtan	PROPN
gc-669	273	2	,	,	PUNCT
gc-669	273	3	62/1	62/1	NOUN
gc-669	273	4	,	,	PUNCT
gc-669	273	5	47–60	47–60	NOUN
gc-669	273	6	.	.	PUNCT
gc-669	274	1	szatmári	szatmári	PROPN
gc-669	274	2	,	,	PUNCT
gc-669	274	3	g.	g.	PROPN
gc-669	274	4	,	,	PUNCT
gc-669	274	5	laborczi	laborczi	PROPN
gc-669	274	6	,	,	PUNCT
gc-669	274	7	a.	a.	NOUN
gc-669	274	8	,	,	PUNCT
gc-669	274	9	illés	illé	NOUN
gc-669	274	10	,	,	PUNCT
gc-669	274	11	g.	g.	PROPN
gc-669	274	12	&	&	CCONJ
gc-669	274	13	pásztor	pásztor	PROPN
gc-669	274	14	,	,	PUNCT
gc-669	274	15	l.	l.	PROPN
gc-669	274	16	(	(	PUNCT
gc-669	274	17	2013	2013	NUM
gc-669	274	18	):	):	PUNCT
gc-669	274	19	a	a	DET
gc-669	274	20	talajok	talajok	NOUN
gc-669	274	21	szervesanyag	szervesanyag	NOUN
gc-669	274	22	-	-	PUNCT
gc-669	274	23	készletének	készletének	NOUN
gc-669	274	24	nagyléptékű	nagyléptékű	PROPN
gc-669	274	25	térképezése	térképezése	NOUN
gc-669	274	26	regresszió	regresszió	NOUN
gc-669	274	27	krigeléssel	krigeléssel	PROPN
gc-669	274	28	zala	zala	PROPN
gc-669	274	29	megye	megye	PROPN
gc-669	274	30	példáján	példáján	PROPN
gc-669	275	1	[	[	X
gc-669	275	2	large	large	ADJ
gc-669	275	3	-	-	PUNCT
gc-669	275	4	scale	scale	NOUN
gc-669	275	5	mapping	mapping	NOUN
gc-669	275	6	of	of	ADP
gc-669	275	7	soil	soil	NOUN
gc-669	275	8	organic	organic	ADJ
gc-669	275	9	matter	matter	NOUN
gc-669	275	10	content	content	NOUN
gc-669	275	11	by	by	ADP
gc-669	275	12	regression	regression	NOUN
gc-669	275	13	kriging	krige	VERB
gc-669	275	14	in	in	ADP
gc-669	275	15	zala	zala	PROPN
gc-669	275	16	county	county	NOUN
gc-669	275	17	–	–	PUNCT
gc-669	275	18	in	in	ADP
gc-669	275	19	hungarian	hungarian	PROPN
gc-669	275	20	,	,	PUNCT
gc-669	275	21	with	with	ADP
gc-669	275	22	english	english	ADJ
gc-669	275	23	abstract	abstract	NOUN
gc-669	275	24	]	]	X
gc-669	275	25	.	.	PUNCT
gc-669	275	26	–	–	PUNCT
gc-669	275	27	agrokem	agrokem	NOUN
gc-669	275	28	.	.	PUNCT
gc-669	276	1	talajtan	talajtan	PROPN
gc-669	276	2	,	,	PUNCT
gc-669	276	3	62/2	62/2	NOUN
gc-669	276	4	,	,	PUNCT
gc-669	276	5	219–234	219–234	NUM
gc-669	276	6	.	.	PUNCT
gc-669	277	1	webster	webster	PROPN
gc-669	277	2	,	,	PUNCT
gc-669	277	3	r.	r.	PROPN
gc-669	277	4	&	&	CCONJ
gc-669	277	5	oliver	oliver	PROPN
gc-669	277	6	,	,	PUNCT
gc-669	277	7	m.a	m.a	PROPN
gc-669	277	8	.	.	PROPN
gc-669	277	9	(	(	PUNCT
gc-669	277	10	2007	2007	NUM
gc-669	277	11	):	):	PUNCT
gc-669	277	12	geostatistics	geostatistic	NOUN
gc-669	277	13	for	for	ADP
gc-669	277	14	environmental	environmental	ADJ
gc-669	277	15	scientists	scientist	NOUN
gc-669	277	16	(	(	PUNCT
gc-669	277	17	2nd	2nd	ADJ
gc-669	277	18	ed	ed	NOUN
gc-669	277	19	.	.	PUNCT
gc-669	277	20	)	)	PUNCT
gc-669	277	21	.	.	PUNCT
gc-669	277	22	–	–	PUNCT
gc-669	277	23	wiley	wiley	PROPN
gc-669	277	24	,	,	PUNCT
gc-669	277	25	chichester	chichester	PROPN
gc-669	277	26	,	,	PUNCT
gc-669	277	27	330	330	NUM
gc-669	277	28	p.	p.	NOUN
gc-669	277	29	wischmeier	wischmeier	NOUN
gc-669	277	30	,	,	PUNCT
gc-669	277	31	w.h	w.h	PROPN
gc-669	277	32	.	.	PROPN
gc-669	277	33	&	&	CCONJ
gc-669	277	34	smith	smith	PROPN
gc-669	277	35	,	,	PUNCT
gc-669	277	36	d.d	d.d	PROPN
gc-669	277	37	.	.	PROPN
gc-669	277	38	(	(	PUNCT
gc-669	277	39	1978	1978	NUM
gc-669	277	40	):	):	PUNCT
gc-669	277	41	predicting	predict	VERB
gc-669	277	42	rainfall	rainfall	NOUN
gc-669	277	43	erosion	erosion	NOUN
gc-669	277	44	losses	loss	NOUN
gc-669	277	45	:	:	PUNCT
gc-669	277	46	a	a	DET
gc-669	277	47	guide	guide	NOUN
gc-669	277	48	to	to	ADP
gc-669	277	49	conservation	conservation	NOUN
gc-669	277	50	planning	planning	NOUN
gc-669	277	51	.	.	PUNCT
gc-669	277	52	–	–	PUNCT
gc-669	277	53	u.s	u.s	PROPN
gc-669	277	54	.	.	PROPN
gc-669	277	55	government	government	NOUN
gc-669	277	56	printing	printing	NOUN
gc-669	277	57	office	office	NOUN
gc-669	277	58	,	,	PUNCT
gc-669	277	59	washington	washington	PROPN
gc-669	277	60	d.c	d.c	PROPN
gc-669	277	61	.	.	PROPN
gc-669	277	62	,	,	PUNCT
gc-669	277	63	58	58	NUM
gc-669	277	64	p.	p.	NOUN
gc-669	277	65	manuscript	manuscript	NOUN
gc-669	277	66	received	receive	VERB
gc-669	277	67	february	february	PROPN
gc-669	277	68	16	16	NUM
gc-669	277	69	,	,	PUNCT
gc-669	277	70	2015	2015	NUM
gc-669	277	71	revised	revise	VERB
gc-669	277	72	manuscript	manuscript	NOUN
gc-669	277	73	accepted	accept	VERB
gc-669	277	74	july	july	PROPN
gc-669	277	75	24	24	NUM
gc-669	277	76	,	,	PUNCT
gc-669	277	77	2015	2015	NUM
gc-669	277	78	available	available	ADJ
gc-669	277	79	online	online	ADJ
gc-669	277	80	october	october	PROPN
gc-669	277	81	31	31	NUM
gc-669	277	82	,	,	PUNCT
gc-669	277	83	2015	2015	NUM