Spatial analysis of seasonal precipitation using various interpolation methods in the Euphrates basin, Turkey

It is vital to accurately map the spatial distribution of precipitation, which widely used in many fields such as hydrology, climatology, meteorology, ecology, and agriculture. This study aimed reveal seasonal, long-term average precipitation Euphrates Basin with various interpolation methods. For this reason, Simple Kriging, Ordinary Universal CoKriging, Empirical Bayesian Radial Basis Functions (Completely Regularized Spline, Thin Plate Multiquadratic, Inverse Spline Tensor), Local Polynomial Interpolation, Global Distance Weighting methods have been applied Geographical Information Systems environment. Long-term seasonal averages between 1966 2017 are presented input for predicting maps. The accuracy prediction maps was based on linear regression analysis, root mean square error (RMSE), absolute (MAE), correlation coefficient (R), determination (R2) values obtained from cross-validation tests. most suitable method chosen that gives lowest RMSE, MAE, largest R R2. As a result study, CoKriging spring winter Interpolation summer Kriging autumn were appropriate estimation