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Best Fit Interpolator QGIS 4 compatibility
QGIS 4 ready Active
Yes — Best Fit Interpolator supports QGIS 4 (declared max version 4.99.0).
Decision-support plugin for selecting, validating, and applying spatial interpolation methods in QGIS.
About
Best Fit Interpolator supports spatial interpolation workflows for environmental, soil, and precision-agriculture data. The plugin compares deterministic, geostatistical, machine-learning, and hybrid approaches, including IDW, TPS, ordinary kriging, REML-assisted kriging, Random Forest, SVM, and Regression Kriging. It provides data diagnostics, semivariogram visualization, validation metrics, observed-vs-predicted plots, interpolation maps, and a framework-guided decision workflow based on: Delgado Bejarano, L., Loureiro Goncalves Oliveira, A., Fiolo Pozzuto, J. V., Castaneda Sanchez, D., and 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. Contact: ladelgadobe@unal.edu.co. LinkedIn: 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/.
| Author | Laura Delgado Bejarano and Lucas Rios do Amaral |
|---|---|
| Downloads | 1,406 |
| Latest version | 2.0 |
| Last updated | 2026-10-06 (9 days ago) |
| Min QGIS | 3.14.0 |
| Max QGIS | 4.99.0 |
| QGIS 4 ready | Yes |
| Maintenance | Active |
| Category | Spatial analysis |
| Tags | geostatistics, digital soil mapping, kriging, machine learning, precision agriculture, qgis, tps, idw, interpolation |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.