GIS-based mineral potential modeling by advanced spatial analytical methods in the southeastern Yunnan mineral district,China |
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| Institution: | 1. Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China;2. State Key Lab of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083, China;3. School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;4. Department of Earth and Space Science and Engineering, Department of Geography, York University, 4700 Keele Street, Toronto, ON M3J1P3, Canada;5. Department of Earth and Oceans, James Cook University, Townsville 4811, Queensland, Australia;1. State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China;2. Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China;1. MLR Key Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;2. Centre for Exploration Targeting and Australian Research Council Centre of Excellence for Core to Crust Fluid Systems (CCFS), School of Earth and Environment, The University of Western Australia, Crawley, WA 6009, Australia;3. Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India;1. Kenex Limited, PO Box 41136, Eastbourne, Wellington 5047, New Zealand;2. Chatham Rock Phosphate Ltd., PO Box 231, Takaka 7142, New Zealand;1. State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China;2. Faculty of Earth resources, China University of Geosciences, Wuhan 430074, China;3. X-plore Geoconsulting, Rockingham, WA 6168, Australia |
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| Abstract: | This paper demonstrates a modeling procedure of mineral potential mapping based on singularity theory, and further presents an idea to look into metallogeny of Sn–Cu polymetallic deposits in southeastern Yunnan mineral district, China by applying a localized regression method. Mineralization is a typical cascade process generally accompanied by irregular geological, geochemical and geophysical signatures. Singularity index as an efficient anomaly analytical tool helps to identify anomalies as well as characterize formation processes of these anomalies. In this study, the singularity-based mineral potential mapping method was utilized to characterize hydrothermal mineralization associated with magmatic, tectonic and sedimentary processes in this district. Based on the results, a mineral prospectivity model was constructed to delineate target areas. In addition to mineral prospectivity, controlling effects of geo-processes on mineralization are spatially non-stationary. Geographically-weighted regression analysis was thus employed to investigate these spatially-varied controlling effects and it has contributed to improve understanding to local metallogeny in the study area. Results of the spatial analysis presented can be used to guide following stages of mineral exploration in the district. |
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