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

机译:广西西部和云南东南地区潜在锰矿化分布的预测GIS模型

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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.
机译:在分析广西西部和滇东南地区锰成矿条件的基础上,建立了沉积盆地,同沉积断层,沉积相,地层,岩性组合,数字地形特征,航空磁异常等地质变量。 GIS现场模型的空间分析方法。为解决预测区域与已知区域之间信息不对称的问题,提出了一种受空间作用范围限制的矿产资源定量预测方法,该方法将预测的成矿条件与已知区域内建立的预测模型相匹配,以保证信息的对称性。为了避免在证据权重(WofE)方法中证据指定的主观性,采用线性回归分析方法对证据进行过滤。采取了一种不仅考虑锰矿床数量而且考虑锰矿床数量的方法,以降低证据的二进制转换中的信息损失。

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