Useful tools for constructing species distribution models

🌲🌉 Species distribution models with Bayesian additive regression trees

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

Tools for Modeling Niches and Distributions of Species

Species Distribution Modelling using Deep Learning

Using Digitized Collections-Based Data in Research: Applications for Ecology, Phylogenetics, and Biogeography Botany 2025.

virtualNicheR: creating virtual fundamental and realised niches

Archived copy of ENM Crash Course by ML Gaynor.

Package to calculate Minimum Background Area for SDMs

Modeling vulnerability of ruffed lemurs to climate change and deforestation

🫛 The goal of `bean` is to reduce sampling bias in species occurrence data by thinning points that are clustered in environmental space. This is a common and necessary pre-processing step for many ecological niche modeling (ENM) workflows.

Environmental Interpolation using Spatial Kernel Density Estimation

Testing methods for measuring variable importance in species distribution models

Environnement de simulation multi-agent avec un paradigme écologoiquement valide. Basé sur SimplePlaygrounds.

A set of high level functions to provide easy training and evaluation of Maxent species distribution models.

AI based toilet paper dispenser that measures accurately the amount of toilet paper one needs based on the sounds previously recorded. Under the FLIP 0FF license.

Code repository for the project "RII Track-2 FEC: Marshalling Diverse Big Data Streams to Understand Risk of Tick-Borne Diseases in the Great Plains" supported by NSF EPSCoR (IIA-1920946)

The repository provides the technical details and workflow of the machine learning algorithms (XGBoost & LightGBM) used to predict the probability of dengue transmission in the non-endemic area of Mexico.

Products_ENM

This R package contains the repository of the methodological process, technical details and workflow of XGBoost & LightGBM and the variables used as inputs to predict the probabilities of the presence of dengue published in the article Risk of dengue transmission in the non-endemic area of ​​Mexico.