1. Screening Global Positioning System Location Data for Errors Using Animal Movement Characteristics
- Author
-
Ivar Herfindal, Christer Moe Rolandsen, Bram Van Moorter, and Kari Bjørneraas
- Subjects
Location data ,Ecology ,Computer science ,business.industry ,Movement (music) ,Data loss ,computer.software_genre ,Data set ,Gps data ,Global Positioning System ,Screening method ,General Earth and Planetary Sciences ,Data mining ,business ,computer ,Screening procedures ,Ecology, Evolution, Behavior and Systematics ,Nature and Landscape Conservation ,General Environmental Science - 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.
- Published
- 2010
- Full Text
- View/download PDF