The Determination of Optimum Geo-statistics Method for Estimating Precipitation Distribution Using GIS (Case Study of Esfahan Province)

The selection of a method for optimum interpolation for estimation of characteristics of a given area in un-sampled points play an important role in data management. In this research, three methods of Kriging, simple, and normal, universal and basic radius functions for the estimation of mean annual precipitation of Esfahan Province were used. For so doing, initially for each model semivariogram was calculated and then drawn. Afterwards, by applying cross validation method, mean root of standard error and the determination coefficient was observed and estimated. The errors of maps were estimated and out of 16 maps one of the maps was chosen as the appropriate map. Results indicate that for interpolation of data the mean annual precipitation, normal and simple Kreeging methods, basic radius functions, and universal Kreeging display higher accuracies in the area under study respectively. Normal Kreeging method with circle model is the most appropriate method for the interpolation of data on mean annual precipitation.