R型因子分析和聚类分析在水系沉积物测量中的应用

Application of R Type Factor Analysis and Cluster Analysis in Stream Sediments Survey

摘要:

水系沉积物测量数据量庞大，如何有效的确定异常元素共生组合类型，是圈定异常的关键。利用R型因子分析和聚类分析，为青海省裕龙沟地区水系沉积物测量元素共生组合类型划分提供依据。利用划分的元素组合类型圈定组合异常，异常显示良好，套合程度高，充分证明了因子分析和聚类分析对划分元素组合的有效性。同时，R型因子分析和聚类分析二者可互相对照，增加划分元素共生组合类型的准确性。

Abstract:

Date of Stream sediments survey is enormous. How to confirm the paragenesiscombination of anomaly elements effectively is the key to circle abnormality. By using type factor analysis and cluster analysis, it will provide basis for classifying the paragenesiscombination type of stream sediments elements in Yulonggou area in Qinghai province. Combination anomalies are delineated according to the element combination types. It is showed that the anomaly is good with high conflation. It proved that factor analysis and cluster analysis for classifying the element combination are very effective. Meanwhile, R type factor analysis and cluster analysis can compare with each other, which increases the accuracy of classifying element paragenesiscombination type.