Faster, better, smarter ecological niche modeling and species distribution modeling
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Updated
Jan 3, 2023 - R
Faster, better, smarter ecological niche modeling and species distribution modeling
Simple layers for species distribution modeling and bioclimatic data
Work with species distributions in Julia
📦 🌎 ⛰️ ☀️ ☁️ 🌱 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 mammal species density estimation and habitat modeling
Application of Taylor Diagrams to Ecological Niche Models/Species Distribution Models
All-in-one model based custom predictions
Science Centre Development Website
Alberta bird models using ABMI+BAM+BBS data
A SDM pipeline implemented in R with {targets}
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.
The script provides a guideline to prepare data for the estimation of distribution range, create and download NDVI data, generate environmental variables from Digital Elevation Models, NDVI datasets and Climate-EU model, calculate landscape metrics for a species’ habitat using binary habitat maps, conduct LASSO and Elastic Net and run GLMs.
Code to reproduce analysis from "Dealing with area-to-point spatial misalignment in species distribution models" published in Ecography.
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