International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
5- CONCLUSION 1 
Since most of the information related to mineral deposit 
exploration activities are geo-spatial, GIS has potential 
for storing, updating, retreiving, displaying, processing, 
analysing and integration of different geo-spatial data. 
Based on this study, for mineral potential mapping in the 
porphyry copper mineral deposite of Rigan Bam, 3 
approprite inference networks were selected (one of the 
Fuzzy Logic network and two of the integrated 
networks). Results of three selected networks are in a KE 
good accordance with drilling results(%75). The 
proposed model for porphyry copper mineral deposite of 
Rigan Bam can be applied for mineral potential mapping AR: 
in other regions by applying small variation in the model. The 
appl 
land 
6- ACKNOWLEDGEMENT extr: 
The outhers would like to thank them Exploration filte 
Departement of National Iranian Copper Industries for Se 
: . : sta 
their support in this project. filter 
tech! 
In th 
REFRENCES: land: 
[1] Karimi. M, (2003) Design and Implementation ofa high 
GIS for copper mines in the detialed stage, Msc anal) 
thesis, K.N.Toosi university of technology, Iran, 120 symr 
PP appli 
[2] M. Karimi, M.J. Valadan Zoej, A. Mansourian & N. wn 
Saheb Zamani, Design and Implementation of effec 
National Iranian Copper Industries Company 
Geographical Information System (CuGIS), accepted 
to be poblished in Proc. Conference ASPRS 2003, 
Alaska, USA Multi 
[3] Bonham, Carter. and G.F, (1991) Geographic Senso 
Information System for geoscientists, Modelling with carte, 
GIS, Pergamon, Ontario, 380 pp meni 
[4] Carranza, J. (2001) Geographical-Constrained emm 
Mineral Potential Mapping, PhD Thesis, ITC, tlie ; 
Netherlands, 480 pp tasks, 
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