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Apache Spark and Citizen Science: Using eBird Data to Predict Bird Abundance at Scale

882 views · Published 12 June 2017 · 20:29 · Indexed 18 October 2026

Channel: Databricks · 2017 · Science & Technology

The Cornell Lab of Ornithology collects millions of bird observations through the citizen-science project eBird. These data provide a unique source of year-round information to understand the distribution, abundance and movements of birds across large geographic areas and over long periods of time, information essential for broad-scale conservation planning. However, to extract reliable information from these data requires statistical models to fill spatiotemporal gaps and control for heterogeneity in the data. The size of the data combined with the complexity of the modeling process presents scaling and computational resource challenges. With Tom Auer.

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Apache Spark and Citizen Science: Using eBird Data to Predict Bird Abundance at Scale

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