稳健协同克立格因子分析及其在化探中的应用

ROBUST COKRIGING FACTOR ANALYSIS AND ITS APPLICATION TO THE GEOCHEMICAL PROSPECTING

稳健协同克立格因子分析集稳健统计、协同克立格和因子分析的优点于一体，可同时研究多个变量不同方向的结构差异及变化性，用该方法研究次生晕指示的结构特征可在一定程度反映原生晕的特征，揭示其深层次信息．对团结沟金矿区次生晕分析表明：在矿产预测中矿床原生晕组合标志并不适用于次生晕及分散流的研究，本方法对大（中）比例尺次生晕、分散流与原生晕的信息转换和关联有独到之处．

The authors put forward the robust cokriging factor analysis(RCKFA) and utilized it into the information transformation between the primary and secondary halos, with remarkable progress. The method, which has the advantages of the robust statistics, cokriging and factor analysis, is effective to extract the useful buried information. In Tuanjiegou gold deposit district, elements As, Sb are distant indexes, and Au, Hg, Ag, major metallogenic factors and Au is from multi-period activities. The influence range of elements is: As>Sb>Hg>Ag>Au. RCKFA is used to study the various spatial structures of the several elements at the same time, especially, the secondary migration analysis of medium-large scale secondary or dispersion halo. It may be used to study the origin relations of the secondary halos, getting rid of the influence of accompanying geochemistry.