# This file contains metadata for the Best Fit Interpolator QGIS plugin.

[general]
name=Best Fit Interpolator
qgisMinimumVersion=3.14
description=Decision-support plugin for selecting, validating, and applying spatial interpolation methods in QGIS.
version=1.1
author=Laura Delgado Bejarano and Lucas Rios do Amaral
email=ladelgadobe@unal.edu.co
linkedin_laura=https://www.linkedin.com/in/laura-delgado-bejarano-09b6681a2/
linkedin_lucas=https://www.linkedin.com/in/lucas-rios-do-amaral-bb302449/

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/.
changelog=Version 1.1: Synchronizes the Framework semivariogram preview with the active Geostatistics model; blocks interpolation when point and polygon layers have incompatible CRS or no usable spatial overlap; shows warnings and errors in popup windows while keeping routine information in the QGIS message bar; shows the incomplete-data warning only once per selection; fixes deterministic TPS routing and the REML prediction matrix error; standardizes R² labels and documents the automatic LOOCV/K-fold threshold; removes visible text-encoding artifacts; and adds a metadata-driven About tab with version, authors, manual, reference article, GitHub, Issues, email, and LinkedIn links. Version 1.0.2 restored the Framework interpolation action, aligned Framework Ordinary Kriging validation with the geostatistics workflow, retained the automatic REML/MoM and manual REML sample limits, fixed Qt6 compatibility scan issues, and packaged the plugin ZIP with QGIS-compliant paths.

tracker=https://github.com/ladelgadobe/BestFitInterpolation/issues
repository=https://github.com/ladelgadobe/BestFitInterpolation
manual=https://github.com/ladelgadobe/BestFitInterpolation/blob/main/BestFitInterpolation_PluginV1.0.2.pdf
article=https://link.springer.com/article/10.1007/s11119-025-10311-8
article_title=Performance of interpolation methods in digital soil mapping: the influence of data characteristics
article_citation=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. https://doi.org/10.1007/s11119-025-10311-8

hasProcessingProvider=False
tags=interpolation, geostatistics, kriging, IDW, TPS, machine learning, digital soil mapping, precision agriculture, QGIS
homepage=https://github.com/ladelgadobe/BestFitInterpolation
category=Raster
icon=icon.png
experimental=False
deprecated=False
server=False
