[general]
name=SDM
qgisMinimumVersion=4.0
qgisMaximumVersion=4.99
description=Guided species distribution modeling with multiple algorithms, ensemble prediction, and evaluation.
version=1.1.0
author=SDM contributors
email=jpaul.payopay@gmail.com

about=A guided QGIS plugin for species distribution modeling (SDM). Supports presence-only and presence/absence data, custom raster predictors, stepwise VIF, spatial-block cross-validation, nine algorithms (LR, GAM, RF, GBM, XGB, SVM, MLP, MaxEnt, ENFA), ensemble prediction with uncertainty, MESS/MOP extrapolation flags, and an HTML report bundling all outputs.

changelog=1.1.0
    - Predictor and projection raster pages now report each layer's data type, CRS, size, resolution, NoData and extent when the rasters don't line up, and a "Fix predictor layers" button resamples them onto one grid you choose (CRS, extent, resolution, plus per-layer output type, NoData and resampling method).
    - Background points: new "ratio to presences" method (count scales with the presence total), new "SRE" method (pseudo-absences drawn from outside the presences' environmental envelope), and the buffered method is now a disk taking a minimum and maximum distance from the nearest presence.
    - Selecting an option on the background, cross-validation, ensemble and algorithm pages now shows what it does, when it is the right choice, and the values people normally use.
    - Cross-validation methods reordered with k-fold first; spatial block remains the default.
    - Wording pass across every page.
    1.0.1
    - Initial public release.

tracker=https://github.com/jp-payopay/SDM/issues
repository=https://github.com/jp-payopay/SDM
category=Analysis
tags=species distribution modeling, sdm, maxent, ecology, biodiversity, ensemble
homepage=https://github.com/jp-payopay/SDM
icon=icon.png
experimental=False
deprecated=False
license=GPL-3.0-or-later
