GIS-based mineral potential modeling by advanced spatial analytical methods in the southeastern Yunnan mineral district, China

Wang, Wenlei, Zhao, Jie, Cheng, Qiuming, and Carranza, Emmanuel John M. (2015) GIS-based mineral potential modeling by advanced spatial analytical methods in the southeastern Yunnan mineral district, China. Ore Geology Reviews, 71. pp. 735-748.

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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.

Item ID: 40026
Item Type: Article (Research - C1)
ISSN: 1872-7360
Keywords: hydrothermal mineralization; singularity; geo-anomaly; geographically weighted regression; spatial non-stationarity
Funders: China Geological Survey (CGS), Natural Sciences and Engineering Research Council of Canada (NSERC), NSERC ERC-OGP0183993
Projects and Grants: CGS grant No. 1212010733811, CGS grant No. 201211022
Date Deposited: 13 Aug 2015 02:10
FoR Codes: 04 EARTH SCIENCES > 0403 Geology > 040307 Ore Deposit Petrology @ 30%
08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 70%
SEO Codes: 84 MINERAL RESOURCES (excl. Energy Resources) > 8401 Mineral Exploration > 840199 Mineral Exploration not elsewhere classified @ 100%
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