Abstract: Using Geographic Information System (GIS), the present authors quantitatively studied the model establishment of the space information related with metallogenic prognosis in Gejiu granite depression zone, Yunnan Province. On the basis of geology of this mining field, at first we divided the information statistics units. Then we determined the geological information variables,which consist of stratigraphic positions, structural features, magmatic bodies configurations, mineralization-alteration types, and geophysical-geochemical-remote sensing anomalies, along with coding and assignment. The method of signature analysis was adopted to ensure the mineralized anomalies favorability model of the space information grid units. Finally, the prospecting targets were delineated from the mineralization prediction units. The results clearly indicate the feasibility of the method combining the mineralization space information grid units and the mathematic signature analysis.