An R package for spatial and spatiotemporal GLMMs with TMB

The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See

Scalable joint species distribution modeling

Species distribution modeling tools, including a python implementation of Maxent

The zoon R package

GeoLifeCLEF challenge toolkit and starter code

Useful tools for constructing species distribution models

🌲🌉 Species distribution models with Bayesian additive regression trees

A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.

An R package providing helper functions to interact with timeseries of worldwide climate reconstructions

R package to fit species distribution models (SDMs) using the 'tidymodels' framework

R package providing utilities for INLA

A compilation of environmental data for species distribution modelling

Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.

ALA Labs is a website of public resources and articles from the Atlas of Living Australia's Science and Decision Support team

A brief Python tutorial for geospatial classification.

Modelling framework for creating Integrated SDMS

Machine-learning Boosted Regression Tree software suite for species distribution modelling in R

Ecological Niche Modelling Using Deep Learning

Workshop on Introduction to Species Distribution Modelling, devolped by Pedro Henrique Braga and Julia Nordlund.