[general]
name=PlanX Suitability Lab
qgisMinimumVersion=3.28
qgisMaximumVersion=4.99
description=Raster-based MCDA land suitability workflows with explainable analytics and uncertainty.
version=1.5.0
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 1.5.0 - New Compose: Candidate Site Extractor turns contiguous high-suitability patches into ranked candidate site polygons (site_id, rank, area_ha, mean/max suitability, compactness) with threshold, minimum-area and top-N controls. Package diet: optimized plugin icon and dev-only files excluded from the Hub zip. Verified by new pure-logic tests plus an end-to-end headless QGIS run.

