🌎 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.

A brief Python tutorial for geospatial classification.

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

Modelling framework for creating Integrated SDMS

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.