[general]
name=PlanX Suitability Lab
qgisMinimumVersion=3.28
qgisMaximumVersion=4.99
description=Raster-based MCDA land suitability workflows with explainable analytics and uncertainty.
version=1.4.0
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 1.4.0 - Product release including CRITIC objective weights, Savage minimax regret selection, priority transition dynamics, spatial fragmentation, ensemble suitability, risk-opportunity zoning, Savage minimax, deployment gates, bilingual dashboard studio UI, command palette (Ctrl+K), and complete QGIS 3.40 and QGIS 4 compatibility.

