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Activity Number: 233
Type: Topic Contributed
Date/Time: Monday, August 5, 2013 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #308051
Title: Fringe Benefits: The Hidden Utility of Constraints in Telemetry Studies
Author(s): Mevin Hooten*+ and Ephraim Hanks and Brian Brost
Companies: Colorado State University and Colorado State University and Colorado State University
Keywords: ecology ; animal movement ; Bayesian ; spatial statistics ; density estimation ; resource selection
Abstract:

Advances in animal telemetry data collection techniques has been a catalyst for the creation of statistical methodology for analyzing animal movement data. While the technology for data collection is improving dramatically over time, we are left with massive archives of animal telemetry data that are subject to measurement error (i.e., location uncertainty). This form of error arises as a combination of factors due to accuracy of the telemetry device and system, animal behavior, atmospheric interference, and landscape features. Furthermore, the measurement error varies with both location and time and the information available about the accuracy is not easily incorporated into statistical models and is often in flux due to ongoing manufacturer findings. Thus, there is a need for 1.) approaches to better estimate the telemetry error distribution and 2.) improved methods to incorporate it into animal movement models. Using both simulations and real data, we describe how certain forms of auxiliary information (hard constraints to movement) can be surprisingly useful for learning about telemetry error which can then incorporated into statistical models for animal space use.


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