Kernel-based home range method for data with irregular sampling intervals
By Jonna Katajisto, Atte Moilanen. 2006
103 citations recorded by the source corpus.
Subfields: Ecology, Genetics, Small Animals
View Paper: https://www.semanticscholar.org/paper/a0748cde21b27031c228444e096c0a74d0f2b303
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Jesse S. Lewis
- Jon S. Horne
- E. O. Garton
- Stephen M. Krone
- T. Coulson
- L. Börger
- Andrea Manica
- S. Lovari
In Genetics
In Small Animals
Citations in the corpus
- Analyzing animal movements using Brownian bridges. (2007, methodology): “This allowed for investigation of relatively fine-scale movement and selection patterns and allowed us to use only the paired locations of a known highway crossing.”
- Effects of sampling regime on the mean and variance of home range size estimates. (2006, methodology): “Despite inherent problems with the MCP method (Anderson 1982; White et al. 1990) it is still widely used, especially in comparative studies, even though kernel methods are now increasingly favoured (see also Gitzen & Millspaugh 2003; Matthiopoulos 2003a; Barg, Jones & Robertson 2005; Hines et al. 20”
- Use of marine protected areas and exclusive economic zones in the subtropical western North Atlantic Ocean by large highly mobile sharks (2016, unknown): “Data from SPOT tags were regularized to constant 12-hour intervals using the piecewise cubic Hermite interpolating polynomial method required for kernel density estimates (KDE; Katajisto & Moilanen, 2006).”