摘要
以铜陵矿集区土壤勘查地球化学数据为实例,应用因子分析方法获取了地球化学数据中的多个主因子信息,并利用地统计学方法开展了各主因子的空间变异分析和插值研究。研究结果显示,因子分析得到的各主因子对应于不同的成矿信息,将因子分析与地统计学分析和插值方法相结合,可以更好的展现各主因子得分的空间分布趋势以及与已知成矿信息的关联程度,进而服务于成矿预测和找矿勘探工作。
Based on soil geochemical data of the Tongling mining camp,this paper obtained the information of a number of major factors from the geochemical data using factor analysis,and made spatial variation analysis for each major fac- tor and interpolation study using geostatistic method,indicating that each major factor acquired from factor analysis cor： responds to different ore-forming information, and combined use of factor analysis, geostatistic analysis and interpola- tion method can better display the spatial distribution trend of each major factor score and its correlation with known mineralization information, further serving metallogenic prognosis and mineral exploration.
出处
《安徽地质》
2013年第2期112-115,共4页
Geology of Anhui
关键词
地统计学
因子分析
土壤
地球化学
铜陵
geostatistics
factor analysis
soil
geochemistry
Tongling
