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本文用多元统计分析的方法对我国东部90个与铁、铜矿床有关的中—酸性岩体的硅酸盐分析数据作了处理,研究其主要氧化物含量的数据结构与正常的中—酸性岩类的区别,划分这些成矿岩体的类型并找出识别它们的简明数学标志。我们作了因子分析、对应分析和主成分分析多维表象法。计算结果与传统地质学方法所作的论断完全一致,而且还有新的启示。我们认为,用这一套方法研究火成岩侵入体的化学成分、类型的划分与对比以及预测其成矿专属性等都能提高现有的地质工作方法的效率。
In this paper, we use the method of multivariate statistical analysis to treat the silicate analysis data of 90 intermediate-acidic rocks associated with iron and copper deposits in the eastern part of our country. The data structure of the major oxide contents and the normal meso-acid The distinction between rock types, the type of these ore-forming rock mass, and identify the concise mathematical markers to identify them. We made a factor analysis, correspondence analysis and principal component analysis multidimensional representation method. The calculation results are completely consistent with the assertion made by the traditional geology method, and there are new revelations. In our opinion, using this set of methods to study the chemical composition and type of igneous intrusions, and the prediction of their ore-forming specificity can all enhance the efficiency of existing geological work methods.