A case-based method of selecting covariates for digital soil mapping
Selecting a proper set of covariates is one of the most important factors that influence the accuracy of digital soil mapping (DSM). The statistical or machine learning methods for selecting DSM covariates are not available for those situations with limited samples. To solve the problem, this paper...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
KeAi Communications Co., Ltd.
2020-08-01
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| Σειρά: | Journal of Integrative Agriculture |
| Θέματα: | |
| Διαθέσιμο Online: | http://www.sciencedirect.com/science/article/pii/S2095311919628571 |
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