SDM
A guided wizard for species distribution modeling, from aligning modeling variables to ensemble predictions and generating SDM reports.
SDM is a guided wizard for species distribution modeling in QGIS. It takes presence-only or presence/absence records plus a stack of predictor rasters and walks you through coordinate cleaning and thinning, background point generation, stepwise VIF predictor selection, spatial-block or k-fold cross-validation, and model fitting with nine algorithms (logistic regression, GAM, Random Forest, GBM, XGBoost, SVM, MLP, MaxEnt and ENFA), validating your inputs at every step. It reports AUC, TSS and Boyce across replicate runs, writes continuous and binary suitability rasters, response curves and variable importance, combines the models into a weighted or unweighted ensemble with an uncertainty map, optionally projects onto a second raster stack with MESS and MOP extrapolation flags, and bundles the results into a single HTML report. Requires QGIS 4.0 or newer.