变换后数据的因子分区标准化在东昆仑东段地球化学异常圈定中的应用

doi:10.11720/wtyht.2020.1014

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Abstract

The reliable detection of data outliers and unusual data behavior is one of the key task in the statistical analysis of applied geochemical data, and has remained a core problem. Factor analysis is a multivariate statistical analysis method, which is used to solve the problem of complex geological origin and superimposed mineralization; nevertheless, geochemical data are compositional data, there exist their closure effects, closure has a major influence on the covariance and correlation matrices, the very base of principal component analysis (PCA) and factor analysis (FA). So the authors applied isometric logratio-transformed (ILR) to 'open' the data before FA. The study area is located in the east of East Kunlun polymetallic mineralization zone. The authors used ILR transformed 11 major elements to conduct FA, extracted four public factors and calculated the four factor scores. According to the results of FA with EDA method , the authors standardized geochemical data and delineated Au anomaly. Compared with traditional method, this method can eliminate the influence of high background values.

Key words： regional geochemical exploration ILR transformation factor analysis EDA method anomalous delineation East Kunlun

Received: 07 January 2019 Published: 03 March 2020

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Corresponding Authors: Fan YANG E-mail: yangfan@igge.cn

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	Guo-Shuai GENG
	Fan YANG
	Jian-Na GUO

Cite this article:

Guo-Shuai GENG,Fan YANG,Jian-Na GUO. The application of ILR transromed data factor analysis to delineating geochemical anomalies[J]. Geophysical and Geochemical Exploration, 2020, 44(1): 112-121.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2020.1014 OR https://www.wutanyuhuatan.com/EN/Y2020/V44/I1/112

一级构造单元	二级构造单元	三级构造单元
秦祁昆(东昆仑—祁连—北秦岭)晚加里东造山系(Ⅰ)	Ⅰ₂东昆仑造山带	$Ⅰ 26$ 祁漫塔格—都兰造山亚带(昆北带); $Ⅰ 27$ 伯喀里克—香日德元古宙古陆块体(昆中带); $Ⅰ 28$ 雪山峰—布尔汉布达造山亚带(昆南带)
特提斯(东特提斯北部)华力西—印支造山系(Ⅱ)	Ⅱ₁巴颜喀拉晚印支造山带	$Ⅱ 11$ 布喀达坂峰—阿尼玛卿华力西、印支复合造山亚带(北巴带)

Division of geotectonic classification in the east of Dongkunlun

The sketch map of deposit and geotectonic in study area

Biplot of principle component analysis from the major elements in the study area
a—the biplot of the first and second principal component from ILR transformed geochemical data;b—the biplot of the first and second principal component from raw geochemical data;the red dots in the picture are the scores of the first and second principal components

Biplot of principle component analysis from the ore forming elements in the study area
a—the biplot of the first and second principal component from ILR transformed geochemical data;b—the biplot of the first and second principal component from raw geochemical data;the red dots in the picture are the scores of the first and second principal components

The eigenvalue and variance explained of principal component analysis in the study area

Orthometric rotating factor loading matrix of factor analysis in the study area

Four factor score maps of major component from ILR-transformated data in study area

Geochemical subdivision map in the study area

Major component median of different subdivision from the study area

The comparison diagram of Au anomalies and deposits from geochemical subdivision standardized of ILR and classical method
a—Au anomalies delineated from geochemical subdivision standardition of ILR;b—Au anomalies delineated from classical method

Comparsion diagram of detecting Au outliers from subdivised standardization and classical method
a—gold outliers detected from geochemical subdivised standardization;b—gold outliers detected from classical method;c—gold outliers detected from both method;d—gold outliers detected from one of two methods

Point statistics of detecting Au outliers from two methods

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