A predictive GIS model for mapping potential manganese mineralization in western Guangxi and southeastern Yunnan area, China

Abstract

On the basis of analysis of manganese metallogenesis conditions in the western Guangxi and southeastern Yunnan area, some geological variables, including sedimentary basins, synsedimentary faults, deposit facies, strata, lithology combinations, digital topographical features, aeromagnetic anomalies, etc., were built by spatial analysis methods of GIS field model. To solve the information asymmetry problem between prediction areas and known areas, this paper brought a method for mineral resources quantitative prediction limited by spatial extent of action, which matched metallogenesis conditions of prediction with prediction models built in known areas to ensure the information symmetry. To avoid subjectivity of evidence designation in the weights of evidence (WofE) method, linear regression analysis method was applied to filter the evidences. A method considering not only manganese deposits' number but also their quantities was taken to lower the information loss in the binary conversion of evidences.