Best Fit Interpolator
=====================

Best Fit Interpolator is a QGIS plugin for selecting, validating, and applying spatial interpolation methods for environmental, soil, and precision-agriculture data.

The plugin supports deterministic, geostatistical, machine-learning, and hybrid methods, including IDW, TPS, Ordinary Kriging, REML-assisted kriging, Random Forest, SVM, and Regression Kriging.

Version 1.1
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- Synchronized Framework and Geostatistics semivariogram previews.
- Spatial compatibility checks before interpolation.
- Popup alerts for warnings and errors.
- TPS and REML interpolation fixes.
- Standardized R² validation labels.
- About tab with documentation, support, article, and author links.

Main features
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- 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
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Laura Delgado Bejarano
Lucas Rios do Amaral

Contact
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ladelgadobe@unal.edu.co

LinkedIn
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Laura Delgado Bejarano:
https://www.linkedin.com/in/laura-delgado-bejarano-09b6681a2/

Lucas Rios do Amaral:
https://www.linkedin.com/in/lucas-rios-do-amaral-bb302449/

Reference article
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Laura Delgado Bejarano, Agda Loureiro Gonçalves Oliveira, João Vitor Fiolo Pozzuto, Dario Castañeda Sánchez, and Lucas Rios do Amaral (2026). Performance of interpolation methods in digital soil mapping: the influence of data characteristics. Precision Agriculture, 27, Article 10.

DOI:
https://doi.org/10.1007/s11119-025-10311-8

Repository
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https://github.com/ladelgadobe/BestFitInterpolation
