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Maximum Entropy and Random Forest Modeling of Mineral Potential: Analysis of Gold Prospectivity in the Hezuo–Meiwu District,West Qinling Orogen,China |
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| Authors: | Zhang Shuai Xiao Keyan Carranza Emmanuel John M Yang Fan |
| Affiliation: | 1.School of Earth Sciences and Resources, China University of Geosciences Beijing, 29 Xueyuan Road, Beijing, 100083, China ;2.MlR Key Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, 100037, China ;3.School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Westville Campus, Durban, South Africa ;4.Department of Earth Sciences, School of Physical Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia ; |
| Abstract: | Natural Resources Research - This study tested and compared the mineral potential mapping capabilities of the random forest (RF) and maximum entropy (MaxEnt) algorithms using gold deposit... |
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| 本文献已被 SpringerLink 等数据库收录！ | |
