Abstract:The multivariate statistical analysis of geochemical elements can speculate the combination and evolutionary characteristics of geochemical elements in complex metallogenic processes. It will provide useful microscopic information for prediction of ore prospecting. By using multivariate statistical method, the data of geochemical rock survey and geochemical soil survey in the study area have been studied and analyzed. It is concluded that comparing with the rock abundances in eastern China, the rock background characteristics in the study area are enrichment of Au, Ag, Pb, Sb, As and Hg elements, and depletion of Cu and Zn. Comparing with the soil geochemical background values in Shandong province, Au, Ag, Cu, Pb, and Zn elements in the soil background values in the study area have been enriched to varying degrees. The combined characteristics of metallogenic elements in the area are as follows: Ag, Pb, and Zn elements are relatively strong, and the correlation between Ag and Pb elements is the strongest, reflecting the possibility of combined ore formation; However, Au has almost no correlation with other elements, and Cu has weak correlation with Ag, Pb, and Zn elements. Through factor analysis, the enrichment and mineralization process of ore-forming elements can be roughly divided into three stages: enrichment and mineralization of the combination of Ag, Pb, and Zn elements; enrichment and mineralization of Cu elements; and enrichment of Au elements. Mineralization shows the characteristics of multiple enrichment or altered mineralization in the area. By using factor scores, elemental combination anomalies have been delineated. Through anomaly analysis, combining with geological background and the characteristics of geological structures, favorable prospecting targets have been delineated eventually. It will provide scientific basis for further prospecting.