Faster, better, smarter ecological niche modeling and species distribution modeling

Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023

Functions for phylogenetic analyses

Tools for Modeling Niches and Distributions of Species

A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)

Introductory lesson to generate range maps for butterfly-host plant interactions and predict distributional shifts using publicly available biodiversity data and data science tools

Slides for the "Interpretable SDM with Julia" workshop

"Trade-of between deep learning for species identication...", by Olivier Gimenez et al

A Python class for AutoML spatial classification (designed for Species Distribution Modeling applications).

Modeling vulnerability of ruffed lemurs to climate change and deforestation

Locust breeding ground prediction using pseudo-absence generation and machine learning.

An R package focused on Species Distribution Modelling techniques for species with small sample sizes

R package for vizzuality species distrubtion prediction tools

Utilize R and GBIF to automatically download data and run optimized MaxEnt models for multiple species.

Submission to the GeoLifeCLEF 2019 Species Recommendation Challenge

Environmental Interpolation using Spatial Kernel Density Estimation

Open Access Species Range Maps

A Graphical User Interface-Based R Package for Species Distribution Modeling

Connecting to External Data Sources, APIs, and Simple Distribution Map Exercise for BIOL 5700, Advanced Data Analytics