[general]
name=PlanX GeoStats Lab
qgisMinimumVersion=3.28
qgisMaximumVersion=3.99
description=PlanX spatial analysis lab for QGIS planning workflows: data preparation, urban pattern scanning, hot spots, centers, exploratory models and scenarios.
version=0.9.0
author=Yusuf Eminoglu
email=yusuf.eminoglu@deu.edu.tr
about=PlanX GeoStats Lab brings advanced spatial statistics tools to the QGIS Processing Toolbox with a planning-analysis workflow designed for PlanX: Setup and Diagnostics, Data Preparation and Neighborhoods, Urban Pattern Scan, Hot Spots and Spatial Outliers, Centers Direction and Dispersion, and Models and Scenarios. The model workflow includes OLS, Exploratory Regression, GWR and sensitivity testing. Optional GeoStats Python libraries are managed by the built-in GeoStats Libraries helper under the PlanX GeoStats Lab menu and toolbar action; the Processing Toolbox also includes GeoStats Library Status for non-installing diagnostics and Install / Update GeoStats Libraries for explicit, user-approved pip installation. Developed with feedback from educational workflows at Dokuz Eylul University, Department of City and Regional Planning.
tracker=https://github.com/YusufEminoglu/planx_geostats/issues
repository=https://github.com/YusufEminoglu/planx_geostats
homepage=https://github.com/YusufEminoglu/planx_geostats
category=Processing
hasProcessingProvider=yes
tags=planx,qgis,processing,spatial statistics,planning analysis,hotspot,lisa,moran,getis-ord,gwr,regression,clustering,k-means,sensitivity,monte carlo,directional mean
icon=icons/icon.png
experimental=False
deprecated=False
license=GPL-3
changelog=
    0.9.0 - Renamed to PlanX GeoStats Lab; reorganized tools into English PlanX planning workflow groups; added Exploratory Regression; added GeoStats Library Status diagnostics; dependency installer moved to built-in GeoStats Libraries helper with detailed guidance.
    0.8.0 - Linear Directional Mean; Attribute Randomization Sensitivity Test (Monte Carlo).
    0.7.0 - Multivariate Clustering (K-Means); Export Feature Attributes to CSV/ASCII.
    0.6.0 - Similarity Search; Calculate Distance Band from Neighbor Count.
    0.5.0 - Median Center (Weiszfeld); High/Low Clustering (Getis-Ord General G).
    0.4.0 - Average Nearest Neighbor; Standard Distance; Geographically Weighted Regression (GWR).
    0.3.0 - Global Moran's I; OLS Spatial Regression.
    0.2.0 - Local Moran's I (LISA); Mean Center; Standard Deviational Ellipse; Dependency Installer.
    0.1.0 - Initial release with Getis-Ord Gi* Hot Spot Analysis.
