Predicting Biodiversity with Generalized Joint Attribute Models
What is PBGJAM?
PBGJAM is a NASA funded project which assimilates biodiversity and habitat data to predict species and community response under climate change; develops a web-based forecast of climate vulnerability for scientists, managers, and decision makers; and transforms high-dimensional biodiversity and remote-sensing data into near real-time risk predictions.
Automated Workflows
Automatic assimilation of biodiversity and remote sensing inputs ensures up-to-date and accurate predictions across the US
Learn MoreBayesian Modeling
Generalized Joint Attribute Modeling (GJAM) fits all species jointly, ensuring robust community and species level predictions
GJAM TutorialRisk Prediction
Our models forecast community reorganization under climate change across the US, built for decision makers & scientists
Launch MapsInteractive Website
Allows the public, decision makers, and scientists to explore, visualize, and download our forecast models
Launch ModelsDeveloper Version
With tutorials and code available, you can leverage our models and workflow to incorporate and augment your own data
Visit GitHubReproducible
We seek to achieve the highest standard in our work, and make available all our code to ensure our models are accurate
Documentation