Variable Terrestrial GPS Telemetry Detection Rates: Parts 1 - 7Data
These data were used to explore environmental effects on fix success rates (FSR) across a wide range of environmental conditions, desert to alpine biomes, and cover the full range of potential data loss (0-100% FSR) for global positioning system (GPS) bias correction of terrestrial GPS-derived, large mammal habitat use. Also, these data were subsequently used to evaluate patterns in missing data that relate to potential animal activities that change the orientation of the antennae and characterize GPS detection rates for 4 focal species; cougars, desert bighorn sheep, Rocky Mountain elk, and mule deer. Two models are included; a model for cougars, predicting fix success by time of day that is likely due to circadian changes in collar orientation, and a model predicting the probability of GPS fix acquisitions given environmental conditions. The geographic extent of these data include portions of Arizona, California, Nevada, and Utah.
Citation Information
Publication Year | 2015 |
---|---|
Title | Variable Terrestrial GPS Telemetry Detection Rates: Parts 1 - 7Data |
DOI | 10.5066/F7PG1PT2 |
Authors | Kirsten E. Ironside, David Mattson, David Choate, David Stoner, Terry Arundel, Jered Hansen, Tad C. Theimer, Brandon Holton, Brian Jansen, Joseph O. Sexton, Kathleen Longshore, Thomas C Edwards, Michael Peters |
Product Type | Data Release |
Record Source | USGS Digital Object Identifier Catalog |
USGS Organization | Southwest Biological Science Center - Flagstaff, AZ, Headquarters |
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Variable terrestrial GPS telemetry detection rates: Addressing the probability of successful acquisitions
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Variable terrestrial GPS telemetry detection rates: Addressing the probability of successful acquisitions
Studies using global positioning system (GPS) telemetry rarely result in 100% fix success rates (FSR), which may bias datasets because data loss is systematic rather than a random process. Previous spatially explicit models developed to correct for sampling bias have been limited to small study areas, a small range of data loss, or were study-area specific. We modeled environmental effects on FSRAuthorsKirsten E. Ironside, David J. Mattson, David Choate, David Stoner, Terence R. Arundel, Jered R. Hansen, Tad Theimer, Brandon Holton, Brian Jansen, Joseph O. Sexton, Kathleen M. Longshore, Thomas C. Edwards, Michael Peters - Connect
Terry Arundel
SBSC Science Data Coordinator / GeographerEmailPhoneKathleen Longshore
Research Wildlife BiologistEmailPhone