Journal
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
Volume 49, Issue 18, Pages 2301-2314Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/00103624.2018.1499765
Keywords
CEC; cokriging; geostatistics; kriging; PCA; Spatial variability interpolation
Categories
Funding
- Regional water organization of Guilan province
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Soil cation exchange capacity (CEC) is a main criterion of soil quality and pollutant sequestration capacity. This research was carried out to evaluate cokriging prediction map of soil CEC spatial variability with the principal components derived from soil physical and chemical properties. Two hundred and forty-seven soil samples were collected that 75% of them were used for training soil CEC and 25% for testing of prediction. The first principal component (PC1) was highly correlated with soil CEC (r = 0.81, P < 0.01), whiles there was no significant correlation between CEC and PC2 (r = -0.19). Then, the PC1 was used as an auxiliary variable for the prediction of soil CEC in cokriging method. The determination coefficient (R-2) of cross-validation for the test dataset was 0.47 for kriging and 0.71 for cokriging. Therefore, according to the results, principal components that have the highest positive and significant correlation with the dependent variable have the most potential for cokriging prediction.
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