Updating conventional soil maps by mining soil-environment relationships from individual soil polygons

doi:10.1016/S2095-3119(18)61938-0

	Updating conventional soil maps by mining soil-environment relationships from individual soil polygons
	Cheng Wei 1,2; Zhu A-xing 1,3,4,5; Qin Cheng-zhi 1,2,4; Qi Feng 6
刊名	JOURNAL OF INTEGRATIVE AGRICULTURE
	2019-02-01
卷号	18 期号:2 页码:265-278
关键词	update conventional soil map soil-environment relationships knowledge extraction individual soil polygons
ISSN号	2095-3119
DOI	10.1016/S2095-3119(18)61938-0
通讯作者	Zhu A-xing(azhu@wisc.edu)
英文摘要	Conventional soil maps contain valuable knowledge on soil-environment relationships. Such knowledge can be extracted for use when updating conventional soil maps with improved environmental data. Existing methods take all polygons of the same map unit on a map as a whole to extract the soil-environment relationship. Such approach ignores the difference in the environmental conditions represented by individual soil polygons of the same map unit. This paper proposes a method of mining soil-environment relationships from individual soil polygons to update conventional soil maps. The proposed method consists of three major steps. Firstly, the soil-environment relationships represented by each individual polygon on a conventional soil map are extracted in the form of frequency distribution curves for the involved environmental covariates. Secondly, for each environmental covariate, these frequency distribution curves from individual polygons of the same soil map unit are synthesized to form the overall soil-environment relationship for that soil map unit across the mapped area. And lastly, the extracted soil-environment relationships are applied to updating the conventional soil map with new, improved environmental data by adopting a soil land inference model (SoLIM) framework. This study applied the proposed method to updating a conventional soil map of the Raffelson watershed in La Crosse County, Wisconsin, United States. The result from the proposed method was compared with that from the previous method of taking all polygons within the same soil map unit on a map as a whole. Evaluation results with independent soil samples showed that the proposed method exhibited better performance and produced higher accuracy.
资助项目	National Natural Science Foundation of China[41431177] ; National Natural Science Foundation of China[41422109] ; Innovation Project of State Key Laboratory of Resources and Environmental Information System of China[O88RA20CYA] ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province, China ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison
WOS关键词	SPATIAL DISAGGREGATION ; KNOWLEDGE DISCOVERY ; INFORMATION ; MODEL ; AREA ; INFERENCE ; SERIES ; UNITS
WOS研究方向	Agriculture
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000459947300003
资助机构	National Natural Science Foundation of China ; Innovation Project of State Key Laboratory of Resources and Environmental Information System of China ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province, China ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/49155]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhu A-xing
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 5.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA 6.Kean Univ, Sch Environm & Sustainabil Sci, Union, NJ 07083 USA
推荐引用方式 GB/T 7714	Cheng Wei,Zhu A-xing,Qin Cheng-zhi,et al. Updating conventional soil maps by mining soil-environment relationships from individual soil polygons[J]. JOURNAL OF INTEGRATIVE AGRICULTURE,2019,18(2):265-278.
APA	Cheng Wei,Zhu A-xing,Qin Cheng-zhi,&Qi Feng.(2019).Updating conventional soil maps by mining soil-environment relationships from individual soil polygons.JOURNAL OF INTEGRATIVE AGRICULTURE,18(2),265-278.
MLA	Cheng Wei,et al."Updating conventional soil maps by mining soil-environment relationships from individual soil polygons".JOURNAL OF INTEGRATIVE AGRICULTURE 18.2(2019):265-278.