# 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