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Mineral Prospectivity Mapping based on Isolation Forest and Random Forest: Implication for the Existence of Spatial Signature of Mineralization in Outliers |
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| Authors: | Zhang Shuai Carranza Emmanuel John M. Xiao Keyan Wei Hantao Yang Fan Chen Zhenghui Li Nan Xiang Jie |
| Affiliation: | 1.China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, 100083, China ;2.School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Westville Campus, Durban, South Africa ;3.MlR Key Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, 100037, China ;4.Key Laboratory of Mineral Resources in Western China (Gansu Province), School of Earth Sciences, Lanzhou University, Lanzhou, 730000, China ; |
| Abstract: | Natural Resources Research - Known mineralized locations and randomly chosen non-mineralized locations are used traditionally as training samples in data-driven mineral prospectivity mapping (MPM).... |
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