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A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement

A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous... 1. The recently developed Brownian bridge movement model (BBMM) has advantages over traditional methods because it quantifies the utilization distribution of an animal based on its movement path rather than individual points and accounts for temporal autocorrelation and high data volumes. However, the BBMM assumes unrealistic homogeneous movement behaviour across all data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Animal Ecology Wiley

A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement

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References (32)

Publisher
Wiley
Copyright
Copyright © 2012 Wiley Subscription Services
ISSN
0021-8790
eISSN
1365-2656
DOI
10.1111/j.1365-2656.2012.01955.x
pmid
22348740
Publisher site
See Article on Publisher Site

Abstract

1. The recently developed Brownian bridge movement model (BBMM) has advantages over traditional methods because it quantifies the utilization distribution of an animal based on its movement path rather than individual points and accounts for temporal autocorrelation and high data volumes. However, the BBMM assumes unrealistic homogeneous movement behaviour across all data.

Journal

Journal of Animal EcologyWiley

Published: Jan 1, 2012

Keywords: ; ; ; ;

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