Evaluation efficiency spatial interpolation techniques in mapping Organic carbon and Bulk density paddy soils of Guilan

This research, carried out in order to evaluation of the inverse distance weighting method and kriging, (ordinary and lognormal kriging) for estimate Organic carbon and Bulk density in paddy fields of the Iranian Institute of Rice Research in Rasht. Spatial variability characteristics of variables were determined by semivariograms. The function used for quantifying the structure of regional variable. Estimation of Kriging carried out by 6 than 40 neighbors in 70 percentage range of search radius. For estimation variable used to method inverse distance weighting of exponent value 1 than 5. The best models for organic carbon and bulk density were spherical. Four statistics of mean error, root mean square error, reduced variance and percent error were used to compare the methods. Exponent value was in the estimation inverse distance weighting for Organic carbon 1 and Bulk density 4. Results show that kriging is the accuracy better of inverse distance. Beside the best estimator was ordinary kriging for Organic carbon and lognormal kriging for Bulk density.