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

Modeling vulnerability of ruffed lemurs to climate change and deforestation

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

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

R package for vizzuality species distrubtion prediction tools

Open Access Species Range Maps

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

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

Application of Taylor Diagrams to Ecological Niche Models/Species Distribution Models

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