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

Work with species distributions in Julia

Machine-learning Boosted Regression Tree software suite for species distribution modelling in R

Simple layers for species distribution modeling and bioclimatic data

📦 🌎 ⛰️ ☀️ ☁️ 🌱 Get climatic and other environmental variables

🌳 🌍 📓 Code and data for Tagliari et al. 2021, Not all species will migrate poleward as the climate warms: the case of the seven baobab species in Madagascar. Global Change Biology.

Generates null models for species occurrence data

Rossman R., Yackulic C., Saunders S.P., Reid J., Davis R., and Zipkin E.F. 2016. Dynamic N-occupancy models: estimating demographic rates and local abundances from detection-nondetection data. Ecology. 97: 3300-3307.

ABMI amphibian species models

ABMI mammal species density estimation and habitat modeling

All-in-one model based custom predictions

Sipe H, IN Keren, and SJ Converse. 2023. Integrating community science and agency-collected monitoring data to expand monitoring capacity at large spatial scales. Ecology and Evolution.

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

This is an R package that enables users to make custom predictions using the species distribution models developed by the ABMI.

Science Centre Development Website

A SDM pipeline implemented in R with {targets}

SDM based on the land facet layer.

Alberta bird models using ABMI+BAM+BBS data

Code to reproduce analysis from "Dealing with area-to-point spatial misalignment in species distribution models" published in Ecography.