🌎 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

The zoon R package

GeoLifeCLEF challenge toolkit and starter code

Species distribution modeling tools, including a python implementation of Maxent

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.

A compilation of environmental data for species distribution modelling

R package providing utilities for INLA

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

Modelling framework for creating Integrated SDMS

A brief Python tutorial for geospatial classification.

Ecological Niche Modelling Using Deep Learning

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

BioModelos is a collaborative online system to map species distributions. This repository stores functions to automate the construction of Species Distribution Models (SDM) from databases gathered, managed and curated by The Alexander Von Humboldt Institute and a network of experts in order to be evaluated and refined.

Repository for ALA Labs

Randomization of presence/absence species distribution raster data for calculating standardized effect sizes and testing null hypothesis.