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

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. W...

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Bibliographic Details
Published inThe Journal of wildlife management Vol. 74; no. 6; pp. 1361 - 1366
Main Authors Bjørneraas, Kari, Van Moorter, Bram, Rolandsen, Christer Moe, Herfindal, Ivar
Format Journal Article
LanguageEnglish
Published 5410 Grosvenor Lane, Suite 200, Bethesda, MD 20814-2144 The Wildlife Society 01.08.2010
Blackwell Publishing Ltd
Subjects
Accuracy
Alces alces
Animals
Artificial satellites
Behavior
Data processing
data screening
Datasets
Ecological modeling
Estimates
Geometry
Global Positioning System
Global positioning systems
GPS
location accuracy
location error
Methods
Moose
movement behavior
Navigation satellites
Norway
positional dilution of precision
TOOLS AND TECHNOLOGY
Wildlife
Wildlife ecology
Wildlife habitats
Wildlife management
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0022-541X
1937-2817
DOI:10.2193/2009-405