IGSNRR OpenIR
Updating conventional soil maps by mining soil-environment relationships from individual soil polygons
Cheng Wei1,2; Zhu A-xing1,3,4,5; Qin Cheng-zhi1,2,4; Qi Feng6
2019-02-01
Source PublicationJOURNAL OF INTEGRATIVE AGRICULTURE
ISSN2095-3119
Volume18Issue:2Pages:265-278
Corresponding AuthorZhu A-xing(azhu@wisc.edu)
AbstractConventional 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.
Keywordupdate conventional soil map soil-environment relationships knowledge extraction individual soil polygons
DOI10.1016/S2095-3119(18)61938-0
WOS KeywordSPATIAL DISAGGREGATION ; KNOWLEDGE DISCOVERY ; INFORMATION ; MODEL ; AREA ; INFERENCE ; SERIES ; UNITS
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational 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
WOS Research AreaAgriculture
WOS SubjectAgriculture, Multidisciplinary
WOS IDWOS:000459947300003
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49156
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhu A-xing
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cheng Wei]'s Articles
[Zhu A-xing]'s Articles
[Qin Cheng-zhi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cheng Wei]'s Articles
[Zhu A-xing]'s Articles
[Qin Cheng-zhi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cheng Wei]'s Articles
[Zhu A-xing]'s Articles
[Qin Cheng-zhi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.