摘要
提出了一种新的矿产资源靶区定位预测的统计方法—秩特征分析方法。该方法以地质变量之间秩相关分析为基础，根据地质变量集合中某一地质变量与其余地质变量之间总的秩相关程度来度量该变量的重要性大小，根据每个地质变量在统计单元（万能的资源靶区）上的取值情况计算单元成矿联系度，，再根据单元成矿联系度相对大小评价优选矿产资源靶区。该统计方法可以同时使用定性、定量和半定量三种地质变量，减少了由于数据离散化而造成的地质信息丢失，可以最大限度地利用各种类型地质变量所提供的有用信息。
A new statistical method called ranked characteristic analysis based on the rank analysis among geological variables for target prediction of mineral resoures was presented. The significance of one variable was determined by the ranked correlativity between the variable and the others. Mineral resources targets can be selected by the metallogenic favorabilities of statistical cells.In this model,qualitive,quantitative and semi-quantitatine geological variables can be used simultaneously,and useful information of geological variables can be used completely.
出处
《地质与勘探》
CAS
CSCD
北大核心
1998年第2期37-42,共6页
Geology and Exploration
关键词
秩特征分析
地质信息
资源靶区
矿产资源预测
ranked characteristic analysis,geological information,resource target, prediction
