Differences in home-range size computed in commonly used software programs
By Elise Lawson, A. Rodgers. 2001
114 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/ab223eddf89fc7b32ae01ee2298e99fe6266028e
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Citations in the corpus
- Kernel-based home range method for data with irregular sampling intervals (2006, methodology): “Kernel contours have frequently been used in habitat selection studies (Mace et al., 1996; Seaman and Powell, 1996; Tufto et al., 1996; Mace and Waller, 1997; Waller and Mace, 1997; Kernohan et al., 1998; Kenward et al., 2001; Marzluff et al., 2001; McLoughlin et al., 2002; Lyons et al., 2003).”
- Ecology and Conservation of Lynx in the United States (2000, methodology): “rable (Worton 1987; Harris et al. 1990), and different software packages may Chapter 6—Hodges 144 have different algorithms for the “same” statistical method (Lawson and Rodgers 1997).”
- HOME-RANGE SIZE, MOVEMENTS, AND NEST-SITE USE IN THE SIBERIAN FLYING SQUIRREL, PTEROMYS VOLANS (2000, methodology): “The comparison of other methods is complicated by different software packages that use different algorithms for homerange estimation and, therefore, give different results for the same set of data (Lawson and Rodgers 1997).”
- What Is the Proper Methodto Delineate Home Range of anAnimal Using Today’s AdvancedGPS Telemetry Systems: The Initial Step (2011, unknown): “Furthermore, several studies have indicated that size of home range calculated with KDE differed with each program by as much as 20% for 95% contours (Lawson & Rodgers 1997; Mitchell 2006).”
- Home range of green turtles Chelonia mydas at a coastal foraging area in the Gulf of California, Mexico (2002, methodology): “Despite being a biologically less suitable descriptive statistic (White & Garrot 1990), the MCP method is, however, a more widely used and comparable home range estimation approach (Gallerani-Lawson & Rodgers 1997).”