Comparison on two case‐based reasoning strategies of automatically selecting terrain covariates for digital soil mapping

Author:

Liang Peng12ORCID,Qin Cheng‐Zhi134ORCID,Zhu A‐Xing13456ORCID

Affiliation:

1. State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research CAS Beijing P.R. China

2. Key Laboratory of Earthquake Prediction Institute of Earthquake Forecasting China Earthquake Administration Beijing P.R. China

3. College of Resources and Environment University of Chinese Academy of Sciences Beijing P.R. China

4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing P.R. China

5. State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province) Nanjing P.R. China

6. Department of Geography University of Wisconsin‐Madison Madison WI USA

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Reference39 articles.

1. Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark

2. Random forest in remote sensing: A review of applications and future directions

3. On the nonparametric estimation of regression functions;Benedetti J. K.;Journal of the Royal Statistical Society,1977

4. Pattern Recognition and Machine Learning

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