2010
DOI: 10.1111/j.1937-2817.2010.tb01258.x
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Screening Global Positioning System Location Data for Errors Using Animal Movement Characteristics

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 se… Show more

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Cited by 178 publications
(151 citation statements)
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“…Each finding was mapped using GPS, and a standard traps and hunting blinds were in use due to lack of snow-covered ground. A few animals had to be removed from the analyses due to lack of data in the specified period, and the final dataset and removed using the script provided in Bjørneraas et al (2010). Data processing and all analyses were performed using the software R.11.1 (2010).…”
Section: Historic Data: Pitfalls and Hunting Blindsmentioning
confidence: 99%
“…Each finding was mapped using GPS, and a standard traps and hunting blinds were in use due to lack of snow-covered ground. A few animals had to be removed from the analyses due to lack of data in the specified period, and the final dataset and removed using the script provided in Bjørneraas et al (2010). Data processing and all analyses were performed using the software R.11.1 (2010).…”
Section: Historic Data: Pitfalls and Hunting Blindsmentioning
confidence: 99%
“…The GPS data was screened automatically for errors using a standard procedure based on animal movement theory (Bjørneraas et al 2010). To determine whether an animal was stationary, migratory, dispersing or non-typical, we used first an automated approach using netsquare-displacement (Bunnefeld et al 2011), together with additional criteria described in Bischof et al (2012).…”
Section: Screening Of Gps Datamentioning
confidence: 99%
“…For all analyses, we used only location data from the calving season (n = 2 seasons) and we screened this data to exclude locations with low precision (< 3-dimensional fixes; Lewis et al 2007) and/or associated with biologically unrealistic movements (Bjørneraas et al 2010). We further excluded locations between 10:00 and 18:00 hrs, an interval coinciding with limited movement presumably due to animals bedding down to avoid warm daytime temperatures.…”
Section: Wolf Gps Datamentioning
confidence: 99%