[general]
name=PlanX Suitability Lab
qgisMinimumVersion=3.28
qgisMaximumVersion=4.99
description=Raster-based MCDA land suitability workflows with explainable analytics and uncertainty.
version=1.6.1
author=Yusuf Eminoglu
email=yusuf.eminoglu@deu.edu.tr

about=PlanX Suitability Lab provides an end-to-end raster MCDA pipeline in QGIS: data harmonization, criterion generation, AHP/PCA/Entropy weighting, WLC/OWA suitability composition, Monte Carlo uncertainty, and explainability outputs for planning-grade decision support. Developed with feedback from educational workflows at Dokuz Eylul University, Department of City and Regional Planning.

tracker=https://github.com/YusufEminoglu/planx_suitability_lab/issues
repository=https://github.com/YusufEminoglu/planx_suitability_lab
homepage=https://github.com/YusufEminoglu/planx_suitability_lab

category=Processing
hasProcessingProvider=yes
tags=planx,qgis,processing,mcda,suitability,raster,ahp,pca,entropy,topsis,xai,montecarlo
icon=icons/icon.png

experimental=False
deprecated=False
license=GPL-3

changelog=
    PlanX Suitability Lab 1.6.1 - Packaging hygiene: internal AI-agent work-order files (ENHANCEMENT_PLAN, DEEPSEEK_PROMPT, REPORT) are now always excluded from the Hub zip regardless of filename version suffix.
    PlanX Suitability Lab 1.6.0 - English-only conversion: removed bilingual EN/TR dashboard mode and all Turkish UI text. Added in-toolbox shortHelpString and helpUrl for all 68 algorithms. New pure-logic unit tests for weight derivation math (AHP/Entropy/PCA/CRITIC edge cases). Fixed single-criterion CRITIC and degenerate-covariance PCA edge cases in _mcda_utils. Dashboard catalog corrected to 68 entries (added missing weight_consolidator). Updated docs and command guide.

