Comparing interpolation techniques for monthly rainfall mapping using multiple evaluation criteria and auxiliary data sources: A case study of Sri Lanka
Rainfall data from an agro-ecological monitoring network were evaluated for producing maps of monthly rainfall in Sri Lanka. Inverse distance weighting, thin-plate splines, ordinary kriging, and Bayesian kriging were compared. Error metrics and the structural similarity index were employed to validate interpolations against independent data. Bayesian kriging and splines predicted the most accurately in low and high rainfall conditions, respectively. Interpolated rainfall predictions were found to be as accurate as previous studies in Sri Lanka.
sri lanka kriging rainfall prediction spatial interpolation raster comparison