Spatial Prediction of Topsoil Texture in a Mountain-plain Transition Zone Using Unvariate and Multivariate Methods Based on Symmetry Logratio Transformation

Intelligent Automation and Soft Computing

Volumn 20, Issue 1, 2014, Pages 115-129

  Zhang, Shiwen ^a,b,c,d   Kong, Weifang ^e   Huang, Yuanfang ^b,c,d   Shen, Chongyang ^b,c,d   Ye, Huichun ^b,c,d  

^a ANHUI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b CHINA AGRICULTURAL UNIVERSITY   (China)

^c AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

^d Key Laboratory of Land Quality MLR   (China)

^e Suzhou Bko Environment Protection Technology Co Ltd   (China)

Author keywords

Composition Data; Soil Texture; Spatial Prediction; Univariate and Multivariate Methods

Indexed keywords

EID: 84896495718     PISSN: 10798587     EISSN: 2326005X     Source Type: Journal    
DOI: 10.1080/10798587.2013.861966     Document Type: Article

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