Best Fit Interpolator

A QGIS plugin for selecting, validating, and applying spatial interpolation methods for environmental, soil, and precision-agriculture data.

Best Fit Interpolator compares deterministic, geostatistical, machine-learning, and hybrid interpolation approaches, including IDW, TPS, Ordinary Kriging, REML-assisted kriging, Random Forest, SVM, and Regression Kriging.

Main features

• Data diagnostics and spatial-pattern support.
• Semivariogram preview and kriging tools.
• Framework-guided method selection.
• Cross-validation metrics and observed-vs-predicted plots.
• Interpolation maps and PDF report support.

Authors

• Laura Delgado Bejarano
• Lucas Rios do Amaral

Contact: ladelgadobe@unal.edu.co

Reference article

Delgado Bejarano, L., Loureiro Goncalves Oliveira, A., Fiolo Pozzuto, J. V., Castaneda Sanchez, D., & Rios do Amaral, L. (2026). Performance of interpolation methods in digital soil mapping: the influence of data characteristics. Precision Agriculture, 27(1), 10. https://doi.org/10.1007/s11119-025-10311-8

Repository

https://github.com/ladelgadobe/BestFitInterpolation