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面向成矿远景评价的MapGIS空间分析模型
引用本文:陈文成.面向成矿远景评价的MapGIS空间分析模型[J].吉林大学学报(地球科学版),2012,42(1):280-288.
作者姓名:陈文成
作者单位:泉州师范学院资源与环境科学学院,福建 泉州362000
基金项目:福建省自然科学基金计划项目(2008J0246);福建省教育厅A类科技项目(JA06017)
摘    要:以综合信息成矿远景预测评价模型(方法)分析为基础,通过对信息量法的改进,导出基于二态赋值与因子分析的线性加权法、加权闵可夫斯基距离法成矿远景综合评价模型;将信息量法等拓展为地质变量构置、筛选、赋值(变换)的方法,作为面向成矿远景定量预测评价GIS空间分析建模的依据(领域模型);应用混合型空间模型法,构建了基于变量存在与否赋值的成矿远景定量预测评价MapGIS空间分析模型。以武夷山成矿带1∶5万长坑幅铁、铜、铅锌成矿远景预测为例,应用构建的模型,进行定量预测评价。共圈定铁、铜、铅锌成矿远景区12处,其中,A类3处、B类3处、C类6处。

关 键 词:定量预测评价  空间分析模型  地质模型  武夷山成矿带  
收稿时间:2011-04-25

Spatial Analysis Model of MapGIS with Evaluation of Mineralization Prospect
CHEN Wen-cheng.Spatial Analysis Model of MapGIS with Evaluation of Mineralization Prospect[J].Journal of Jilin Unviersity:Earth Science Edition,2012,42(1):280-288.
Authors:CHEN Wen-cheng
Institution:School of Resource and Environmental Science, Quanzhou Normal University, Quanzhou362000|Fujian, China
Abstract:Based on the methodology analysis of integrated model of information prediction and evaluation of mineralization prospect,the comprehensive evaluation model of mineralization prospect of linear weighting method and weighted Minkowski distance method are derived based on the assign a value to two states and factor analysis by improving quantity of information method.The quantity of information method was expanded into the construction of geological variable,screening,assignment,which is the base for the spatial analysis and modeling of MapGIS served for evaluation of mineralization prospect with quantitative prediction and evaluation.The spatial analysis model of MapGIS for evaluation of mineralization prospect with quantitative prediction and evaluation was constructed based on the existence of variable and assignment by applying the mixed spatial analysis model.Take iron,copper,lead-zinc ore prospect evaluation in the map of Changkeng in Wuyishan metallogenic belt of scale 1∶50000 as example.The model was applied for quantitative prediction and evaluation.12 metallogenic prospect areas with iron,copper,lead-zinc ore have been delineated,including 3 areas of class A,3 of class B and 6 of class C.
Keywords:quantitative prediction and evaluation  spatial analysis model  geologic models  Wuyishan metallogenic belt
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