Soil mapping based on assessment of environmental similarity and selection of calculating samples

doi:10.1016/j.catena.2019.104379

	Soil mapping based on assessment of environmental similarity and selection of calculating samples
	Li, Yao 1,2; Zhang, Na 2,3; Li, Run-Kui 2,4; Liu, Cheng-Yu 2; Shen, Jing 2; Jing, Yong-Cai 2
刊名	CATENA
	2020-05-01
卷号	188 页码:16
关键词	Environmental contrast index Enhancive predictive coefficient-based soil mapping (EPSM) Member recruiting process Uncertainty threshold Soil-land inference model (SoLIM) Soil property
ISSN号	0341-8162
DOI	10.1016/j.catena.2019.104379
通讯作者	Zhang, Na(zhangna@ucas.ac.cn)
英文摘要	Many predictive soil mapping (PSM) methods encounter two problems. One is how to construct a similarity index that can indicate not only the similarity of an environmental covariate between sites but also the directional difference of the covariate itself between sites and predict the soil property values beyond the range of sample values. Another is how to determine which soil samples should be used when estimating the soil property value at an unknown site. We propose a new asymmetrical environmental contrast index between an unknown site and a sample site to address the first problem, based on which we developed an enhancive predictive coefficient (EPC)-based soil mapping (EPSM) method. EPC integrates the contrasts of associated environmental principal component covariates by the weights of the covariates influencing a certain soil property. A member recruiting process was programmed to determine the calculating samples for an unknown site after conducting an uncertainty threshold (ut) test for all the sample sites. We applied the EPSM method to five data groups with different numbers and distributions of sample sites for prediction. The results showed that the EPSM method performs better than the soil-land inference model (SoLIM) method regardless the value of ut and thus can be used to estimate the soil property values well at most unknown sites. The method is especially valid when the unknown sites are spatially far from the sample sites and when sample sites are limited in number or spatially distributed at a local area. Our study suggests that the EPSM method is an effective PSM method that can be widely used in soil mapping.
资助项目	Strategic Priority Research Program of Chinese Academy of Sciences[XDA20050103] ; National Natural Science Foundation of China[31270512] ; National Natural Science Foundation of China[41771435] ; National Key Research and Development Program of China[2016YFC0503602]
WOS关键词	INFERENCE ; SCALE ; MODEL ; UNCERTAINTY ; PREDICTION
WOS研究方向	Geology ; Agriculture ; Water Resources
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000518488500024
资助机构	Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/133024]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Na
作者单位	1.Univ Maryland, Ctr Geospatial Informat Sci, Dept Geog Sci, College Pk, MD 20742 USA 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Yanshan Mt Earth Crit Zone & Surface Flux Res Stn, Beijing 101408, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Li, Yao,Zhang, Na,Li, Run-Kui,et al. Soil mapping based on assessment of environmental similarity and selection of calculating samples[J]. CATENA,2020,188:16.
APA	Li, Yao,Zhang, Na,Li, Run-Kui,Liu, Cheng-Yu,Shen, Jing,&Jing, Yong-Cai.(2020).Soil mapping based on assessment of environmental similarity and selection of calculating samples.CATENA,188,16.
MLA	Li, Yao,et al."Soil mapping based on assessment of environmental similarity and selection of calculating samples".CATENA 188(2020):16.