Visualizations and Data Products
The eBird Science team uses state-of-the-art statistical models and machine learning to build visualizations and tools to help decision makers, scientists, and birders alike to better understand migration, abundance patterns, range boundaries, and much more. The team compiles raw eBird data (the when and where people report birds) and high-resolution satellite imagery from NASA, NOAA, and USGS into cutting-edge statistical models to predict population trends and to predict when, where, and in what numbers species occur every week of the year.
The new data-driven maps and animations are made possible through support from the National Science Foundation, Wolf Creek Charitable Foundation, Leon Levy Foundation, NASA, Amazon Web Services, Institute for Computational Sustainability, and the NSF Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program.