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Abstract Details
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Activity Number:
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396
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #300703 |
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Title:
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Velocity-Based Movement Modeling for Individual and Population-Level Inference
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Author(s):
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Ephraim M. Hanks*+ and Mevin B. Hooten
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Companies:
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Colorado State University and USGS Colorado Cooperative Fish and Wildlife Research Unit
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Address:
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, , CO, ,
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Keywords:
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Animal Movement ;
Reversible Jump MCMC ;
Change Point Model
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Abstract:
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Understanding environmental drivers of animal movement and resource selection provides important information about the ecology of the animal, but an animal's response to the environment is not typically constant in time. We present a velocity-based approach for modeling animal movement that allows for temporal heterogeneity in an animal's response to the environment, allows for temporal irregularity in telemetry data, accounts for the uncertainty in the location information, and scales up naturally to population-level inference. We illustrate this approach through a study of northern fur seal (Callorhinus ursinus) movement in the Bering Sea, AK.
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