Improving the spatial prediction accuracy of soil alkaline hydrolyzable nitrogen using GWPCA‐GWRK-Reference-Cited by-同舟云学术

Improving the spatial prediction accuracy of soil alkaline hydrolyzable nitrogen using GWPCA‐GWRK

Published:2021-04-06 Issue:3 Volume:85 Page:879-892
ISSN:0361-5995
Container-title:Soil Science Society of America Journal
language:en
Short-container-title:Soil Sci. Soc. Am. j.

Author:

Chen Jian¹²,Qu Mingkai¹²^ORCID,Zhang Jianlin¹,Xie Enze¹²,Zhao Yongcun¹²^ORCID,Huang Biao¹²

Affiliation:

1. Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science Chinese Academy of Sciences East Beijing Road 71 Nanjing 210008 China

2. University of Chinese Academy of Sciences Yuquan Road 19 Beijing 100049 China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Institute of Soil Science, Chinese Academy of Sciences

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Wiley

Subject

Soil Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/saj2.20189

Reference42 articles.

1. Improving land cover classification using input variables derived from a geographically weighted principal components analysis

2. Geographically Weighted Principal Components Analysis to assess diffuse pollution sources of soil heavy metal: Application to rough mountain areas in Northwest Spain

3. GWmodel: AnRPackage for Exploring Spatial Heterogeneity Using Geographically Weighted Models

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