Using Statistical Learning to Predict Bald Eagle Flight from Land Features to Inform Safe Wind Turbine Placement
Silas Bergen, PhD
Data Scientist and Biostatistician
Assistant Professor in Math/Stat Dept.
Abstract: As wind energy development increases, so does the potential for bird fatalities from collision with turbine rotors. In this talk I will describe how I used statistical learning methods to analyze millions of data points collected from GPS telemetry devices attached to bald eagles. The intent of this research was to understand land types where bald eagles might be at greater risk of collision with industrial wind turbines to inform safe placement of wind farms.
Friday, December 1st
12:15- 12:40 PM
SLC 120
