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通过对地化金属氧化物百分含量的多元统计分析可以推测地球化学元素在成矿过程中的演化特征,进而为预测找矿提供有用的深层次信息。本文对西藏某区超基性岩体中有关金属氧化物百分含量的运用SPSS软件进行了因子分析、聚类分析的研究,并根据氧化物的共生组合及相关性特征认为氧化镁和氧化铁可以作为区内找铬铁矿的近程指示氧化物。
By multivariate statistical analysis of percentages of metal oxides, the evolutionary characteristics of geochemical elements in the metallogenic process can be inferred, which can provide useful and deep information for the prediction of ore prospecting. In this paper, SPSS software was used to carry out factor analysis and cluster analysis on the percentage of metal oxides in the ultrabasic rocks in a certain area of Tibet. According to the symbiosis of oxides and the correlation characteristics, it is considered that magnesia and iron oxide It can be used as a short-range indicator oxide of chromite in the area.