The integrated analysis Of ore resource information seems to be one Of the effective means for optimization of targets. In the past, the work was done artificially. Being time-consuming and costly, the work could hardly attain the expected result. At present, the processing of data by computer technique has become a reality.The geophysical information system (GIS) developed in recent years, in particular, has opened up vast prospects for integrated processing of geoscience data and prognosis of ore resources.Being a sort of application software of the computer system, the geographical information system combines data base mangement and image analysis into an organic whole, with superposition analysis of spatial data as an important feature. Useful information is extracted from multi-source geoscience data and, after that, the prognostic model is established by using experts' knowledge in combination with such mathematic methods as logical calculus and Bayes decision rule. With the inference network of the model as the clue and through the utilization of the effective spatial analytical means of the geographical information system, the superposition of various sorts of evidence image layers is realized and eventually a prognostic map of ore resources with probabilities as indices is formulated,which can indicate favorable prospect areas with high probability, and night be used by explorers and policy-mak- ers as basis for reconnaissance program.