Studying of two Spatial Data Prediction Methods Performances

Correlation structure of spatial data is related to their positions and distances. Then spatial data analysis has various applications in applied areas.
In this research, we study two spatial interpolation methods, that is Ordinary Kriging and Universal Kriging. In this purpose, data sets are simulated and the performance of each of the methods is studied under the considered conditions. Besides, different sample sizes and variograms is considered to assess the effects of various sample sizes and different vaiogram functions. Furthermore, for every set of simulated data, cross validation criteria is applied to compare the methods. As an application of the results, the methods are applied for data of a mine.