Published: Feb. 24, 2017
Event Description:
Mevin Hooten, Department of Statistics, Colorado State University
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De Motu Animalium: ÌýModern Models for Animal TrajectoriesÌý

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Advances in animal telemetry data collection techniques have served as a catalyst for the creation of statistical methodology for analyzing animal movement data.Ìý Such data and methodology have provided a wealth of information about animal space use and the investigation of individual-based animal-environment relationships.Ìý While the technology for data collection is improving dramatically over time, we are left with massive archives of historical animal telemetry data of varying quality.Ìý However, many contemporary statistical approaches for inferring movement behavior are designed for newer data that are very accurate and high-resolution.Ìý From a scientific perspective, the behaviors we are interested in learning about may be complicated, nonstationary, and constrained.Ìý Furthermore, telemetry data often contain substantial measurement error and can be nonelliptically distributed.Ìý I provide a brief overview of the history of statistical models for animal movement and present an accessible framework for accommodating the inherent characteristics of Lagrangian movement processes and uncertainty associated with telemetry data.ÌýÌý

Location Information:
ÌýÌý()
1111 Engineering DRÌý
Â鶹ӰԺ, COÌý
Room:Ìý265
Contact Information:
Name: Ian Cunningham
Phone: 303-492-4668
Email:Ìýamassist@colorado.edu