This research examines the fractal and fry analysis which are implemented as complementary methods to evaluate their efficiency as regional exploration tools. The disadvantage of the “Box-counting” method lies in its inadequacy in dealing with low numbers of point data sets. Attempts have been made to use spatial integration of airborne geophysical data to turn this method into a useful tool for detecting mineral occurences. According to the mineralization trends, results from Fry analysis using the rose diagram of the faults within the area, have confirmed field observations concerning structurally controlled mineral occurences. This suggests that the fractal dimension in the \'Box-counting\' method must be similar for both mineralization points and fault lines, but that is not the case for the study area. Furthermore, the \'number-in-circle\' method has been applied to check the anomaly points, whose fractal dimension corresponds to that of the fault lines in the \'Box-counting\' method. The difference between fractal dimensions of mineralization points and those of fault systems lies in the low number of recognized occurrences. This issue can serve as an exploration key in leading to some promising areas that need more complementary research, as well as underground survey. The significance of airborne geophysical survey in iron deposits mapping and prospecting is in providing valuable information for a better understanding of the spatial pattern of mineralization as well as in showing exploration targets within new high-priority areas, and in providing a useful technique to develop spatial data modeling for regional exploration.

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