Comprehensive information extraction and interpretation is a complex, highdimensional and nonlinear process to model and evaluate mineral resources.The main purpose of this process can be divided into two steps. The first step is to identify and extract the mineral anomalies associated with mineralization from multiple sources of geological data. The data adopted here are usually geological, geophysical, geochemical, and remote sensing observation data. Based on these mineral anomalies, the second step is to predict the metallogenic information. Meanwhile,With the guidance of scientific prediction theory, researchers analyze the geological conditions of mineralization, summarize the metallogenic laws and establish the comprehensive models of metallogenic prediction. These models could be used to depict and evaluate the prospecting metallogenic target, and finally provide scientific proof for regional prospecting and mineral resources development. In this project. The weightd evidence model will be applied in metallogenic prediction, which will be used to establish and evaluate the relationship between geological information and the mineralization, geochemical information, remote sensing alteration information, remote sensing linear structure with the known mineralization, then, bayes formula has been used to define the metallogenic posterior probability and delineate the mineralization prospect areas. The results conformed to the conditions of geological and metallogenic characteristics, and it agree with the known mines rate of 71.4%.