كليدواژه :
زمين آمار , ارزيابي متقابل , درون يابي , ويژگي هاي خاك
چكيده لاتين :
The spatial and temporal distributions of ecosystem characteristics are required for sustainable management and optimum exploitation of the resources. Soil quality preservation is one of the most important factors in sustainable ecosystem management. Therefore, knowing the spatial distribution of soil characteristics is very important. In the present study, Kriging and IDW methods were used for prediction of spatial distribution of salinity, Pb, Cu, Zn, Mn, CEC; and percentage of OM and clay in soils of Akhtarabad region. After data normalization, the variogram was developed. For selecting the best model for competing on experimental variogram, the lower RMSE value was used. The best model for interpretative was selected by means of cross validation and error evaluation methods, such as RMSE method. The results showed that Kriging method is better than IDW method for prediction of soil properties spatial distribution due to strong spatial structure. Finally, the soil characteristics maps were prepared using the best interpolation method in GIS environment.
