Evaluation and comparison of ordinary kriging and inverse distance weighting methods for prediction of spatial variability of some chemical parameters of Dhalai district, Tripura

Interpretation and analysis of spatial variability of soil properties were carried out by ordinary kriging and inverse distance weighting (IDW) methods to generate continuous sample for site-specific management. A total of 535 soil samples (0-25 cm) were collected at an interval of 2 km grid in Dhalai district of Tripma, India. The data were interpolated by ordinary kriging and IDW with power 2. All the selected soil chemical parameters were strongly spatially dependent, but the range of spatial dependence was found to vary within soil parameters. Available potassium had the shortest range of spatial dependence (6.9 krn) whereas pH had the longest range (23.7 km). The study shows that prediction of spatial variability for different soil parameters (except available nitrogen) may be better understood by ordinary kriging than by IDW method.

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