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Screening Global Positioning System Location Data for Errors Using Animal Movement Characteristics |
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| Authors: | KARI BJØRNERAAS BRAM VAN MOORTER CHRISTER MOE ROLANDSEN IVAR HERFINDAL |
| Affiliation: | 1. Centre for Conservation Biology, Department of Biology, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway;2. and Norwegian Institute for Nature Research, NO-7485 Trondheim, Norway;3. and Section for Natural History, Museum for Natural History and Archaeology, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway |
| Abstract: | 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. |
| Keywords: | Alces alces data screening Global Positioning System location accuracy location error moose movement behavior Norway positional dilution of precision |