地质科技情报2011，Vol.30Issue(2)：109-116,8.
基于证据权法的成矿远景预测空间分析模型研究:以MAPGIS空间分析建模为例
Spatial Analysis Model of Mineralization Prospect Forecast Based on Evidence Power Method:Take the MAPGIS Spatial Analysis Modeling as an Example
摘要
Abstract
Based on the evidence power method prospect quota forecast model and the analysis of its positive and negative points, this paper proposes the multi-dimensional space linear substitution method to improve the evidence power and to solve the evidence independence problem by using “the rejection method”. With the factor analysis on common factor variance bestows on the weight and the variance contribution bestows on power model revision, the positive-negative evidence power evaluation is equal with 1-0 evaluation so as to develop the evidence power method for the variable construction, screening and evaluation and transformation criterion/method. The integrated information mineralization prospect forecast can be summarized into such steps as mineralization information extraction, variable construction, sorting, evaluation/transformation, weighting, multivariable synthesis and marginal value determination and achievement visualization. The use of mixed space modeling to establish a model universalizes the evidence-power-oriented method and its developed mineralization prospect quota forecast on the MAPGIS space analysis model. The application of this method in the prediction of a 1: 50,000 long pit of iron, copper, lead and zinc confirms that the improved model has better compatibility and application effect, for 13 iron, copper, lead and zinc zones (2, 4, and 7 zones respectively for class A, B, and C) are successfully identified. This has provided evidence for the mineral prospecting in the area.关键词
成矿远景/定量预测/证据权法/空间分析模型/MAPGISKey words
mineralization prospect/ quota forecast/ evidence power method/ spatial analysis model/ MAPGIS分类
天文与地球科学引用本文复制引用
陈文成..基于证据权法的成矿远景预测空间分析模型研究:以MAPGIS空间分析建模为例[J].地质科技情报,2011,30(2):109-116,8.基金项目
福建省自然科学基金项目(2008JO246) （2008JO246）
福建省教育厅A类科技项目(JA06017) （JA06017）
