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Accounting for location uncertainty in azimuthal telemetry data improves ecological inference
View ORCID ProfileBrian D. Gerber, Mevin B. Hooten, Christopher P. Peck, Mindy B. Rice, James H. Gammonley, Anthony D. Apa, Amy J. Davis
doi: https://doi.org/10.1101/281584
Brian D. Gerber
1Colorado Cooperative Fish and Wildlife Research Unit, Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO 80523, USA
2Department of Natural Resources, University of Rhode Island, Kingston, RI 02881, USA.
Mevin B. Hooten
3U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit, Departments of Fish, Wildlife, and Conservation Biology and Statistics, Colorado State University, Fort Collins, CO 80523-1484, USA.
Christopher P. Peck
1Colorado Cooperative Fish and Wildlife Research Unit, Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO 80523, USA
Mindy B. Rice
4Colorado Division of Parks and Wildlife, 317 West Prospect, Fort Collins, CO 80526, USA.
James H. Gammonley
4Colorado Division of Parks and Wildlife, 317 West Prospect, Fort Collins, CO 80526, USA.
Anthony D. Apa
5Colorado Division of Parks and Wildlife, 711 Independent Avenue, Grand Junction, CO 81505, USA.
Amy J. Davis
6National Wildlife Research Center, United States Department of Agriculture, 4101 La porte Avenue, Fort Collins, CO 80521, USA.
Posted March 13, 2018.
Accounting for location uncertainty in azimuthal telemetry data improves ecological inference
Brian D. Gerber, Mevin B. Hooten, Christopher P. Peck, Mindy B. Rice, James H. Gammonley, Anthony D. Apa, Amy J. Davis
bioRxiv 281584; doi: https://doi.org/10.1101/281584
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