eBird Status and Trends Model Results

Description

The eBird Status and Trends project generates estimates of bird occurrence and abundance at a high spatiotemporal resolution. This dataset represents the primary modeled results from the analysis workflow and are designed for further analysis, synthesis, visualization, and exploration.

Update Frequency

Yearly

License

CC BY-NC 4.0

Documentation

https://cornelllabofornithology.github.io/ebirdst/articles/ebirdst-introduction.html

Managed By

Cornell Lab of Ornithology

See all datasets managed by Cornell Lab of Ornithology.

Contact

https://help.ebird.org/customer/en/portal/emails/new

Usage Examples

• eBird Status and Trends FAQ by Cornell Lab of Ornithology
• eBird Status and Trends Visualizations by Cornell Lab of Ornithology
• ebirdst - Background, Data Access and Data Structure by Tom Auer and Daniel Fink
• ebirdst - Generating Seasonal Abundance and Range Maps and Stats by Matt Strimas-Mackey, Tom Auer, and Daniel Fink
• ebirdst - Intro Mapping by Tom Auer and Daniel Fink
• ebirdst - Non-raster Data by Tom Auer and Daniel Fink
• ebirdst R Package by Cornell Lab of Ornithology