“…The drawbacks are due to either non-normal (asymmetric) distribution of data and/or irregularity of sampling positions. However, the semivariogram technique, developed by Matheron [17], and used by many researchers [14,22,28,30,39,[41][42][43] in diverse fields, such as geology, mining, hydrology, earthquake prediction, and groundwater, can be used to characterize spatial variability. The SV is a prerequisite for best linear unbiased prediction of regionalized variables through the use of kriging techniques [18].…”