Screening Global Positioning System Location Data for Errors Using Animal Movement Characteristics

Kari Bjørneraas; Bram Van Moorter; Christer Moe Rolandsen; Ivar Herfindal

doi:10.2193/2009-405

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Kari Bjørneraas,¹ Bram Van Moorter,² Christer Moe Rolandsen,³ Ivar Herfindal⁴

¹aCentre for Conservation Biology, Department of Biology, Norwegian University of Science and Technol
²bCentre for Conservation Biology, Department of Biology, Norwegian University of Science and Technol
³cCentre for Conservation Biology, Department of Biology, Norwegian University of Science and Technol
⁴dCentre for Conservation Biology, Department of Biology, Norwegian University of Science and Technol

Abstract

Animal locations estimated by Global Positioning System (GPS) inherently contain errors. Screening procedures used to remove large positional errors often trade data accuracy for data loss. We developed a simple screening method that identifies locations arising from unrealistic movement patterns. When applied to a large data set of moose (Alces alces) locations, our method identified virtually all known errors with minimal loss of data. Thus, our method for screening GPS data improves the quality of data sets and increases the value of such data for research and management.

Citation Download Citation

Kari Bjørneraas, Bram Van Moorter, Christer Moe Rolandsen, and Ivar Herfindal "Screening Global Positioning System Location Data for Errors Using Animal Movement Characteristics," Journal of Wildlife Management 74(6), 1361-1366, (1 August 2010). https://doi.org/10.2193/2009-405

Published: 1 August 2010