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

机译:中国广西西部和云南东南部地区测绘潜在锰矿化的预测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:对在广西西部和东南部云南地区锰成矿条件分析的基础上,一些地质变量,包括沉积盆地,同沉积断层,沉积相,地层,岩性组合,数字地形特点,航磁异常等,是由建GIS场模型的空间分析方法。为了解决预测区域和已知的区域之间的信息不对称问题,本文所带来对矿产资源定量预测由动作的空间范围,这匹配具有内置的已知区域,以确保信息对称预测模型预测的成矿条件的限制的方法。为了避免在证据权重证据指定的主体(WOFE)方法,应用线性回归分析法来筛选依据。不仅考虑锰矿号也是它们的数量的方法是采取降低证据的二进制转换的信息丢失。

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