This study presents analysis and interpretation of airborne gamma ray data to construct surface map
based on radiation point of view and determine the zones which are rich in radioelement contents and compared it with
the geological map. Subsequent analysis steps were applied to achieve our target which included constructing a
composite map that combines the data for eU (in red), eTh (in green), and K (in blue) then constructing a zonation map
by dividing the area into zones based on difference in colour in the composite map . After that, check the homogeneity
of these zones and ability to gather or separate each zone with another or groups of zones by applying some statistical
operations on the total count radiometric data starting with the coefficient of variation which check the homogeneity of
every zone separately. Followed by applying the Bartlett's test and analysis of variance (ANOVA) which check the
possibility to form group or groups of zones together then applying the Fisher's test and the student's test which check
the possibility to form couples of zones that can be gathered depending on the homogeneity of the standard deviation
and the mean then taking this final zones and calculating the mean and standard deviation for the K ,eU and eTh then
drawing the X+2S.D. for the three radioelements on one map and comparing this map with the geological map .