A Comparison of Local Polynomial Interpolation and Experimental Bayesian Kriging Methods in Determining the Spatial Distribution of Some Soil Properties in Ergani Plain
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https://doi.org/10.5281/zenodo.8396228Keywords:
Spatial distribution, interpolation, soil properties, pH, cation exchange capacity, limeAbstract
In this study, the spatial prediction performances of Local Polynomial Interpolation (LPI) and Experimental Bayesian Kriging (EBK) were compared. Soil pH, lime content, electrical conductivity (EC) and cation exchange capacity (CEC) analyses were performed on 622 soil samples in a study area of 18,143 ha in Ergani district of Diyarbakır in southeastern Turkey. The coefficient of variation between estimated and measured pH values in both models was quite similar. In the local polynomial interpolation method, the coefficient of variation of the estimated and measured data set in the lime content of soils was quite similar. The root mean square deviation (RMSE) values showed a decrease of 9.5%, 78.8% and 25.6% for pH, EC and CEC, respectively, in the EBK method compared to the LPI. The LPI-Lime method showed an RMSE improvement of 28.4% compared to EBK. The results showed that the error values of the estimations obtained with the EBK method were lower compared to the LPI method. On the other hand, the estimated pH and lime maps obtained with the LPI method were more compatible with the coefficient of variation of the sample dataset. This research is important to provide efficient spatial soil information for land management applications where rapid and accurate digital soil maps are required without the need for environmental variables.
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