Kernel Methods for Estimating the Utilization Distribution in Home‐Range Studies
Open Access
- 1 February 1989
- Vol. 70 (1) , 164-168
- https://doi.org/10.2307/1938423
Abstract
In this paper kernel methods for the nonparametric estimation of the utilization distribution from a random sample of locational observations made on an animal in its home range are described. They are of flexible form, thus can be used where simple parametric models are found to be inappropriate or difficult to specify. Two examples are given to illustrate the fixed and adaptive kernel approaches in data analysis and to compare the methods. Various choices for the smoothing parameter used in kernel methods are discussed. Since kernel methods give alternative approaches to the Anderson (1982) Fourier transform methods, some comparisons are made.This publication has 6 references indexed in Scilit:
- A review of models of home range for animal movementEcological Modelling, 1987
- Testing For Independence of Observations in Animal MovementsEcology, 1985
- A Home Range Model Incorporating Biological Attraction PointsJournal of Animal Ecology, 1983
- The Home Range: A New Nonparametric Estimation TechniqueEcology, 1982
- Harmonic Mean Measure of Animal Activity AreasEcology, 1980
- The analysis of space use patternsJournal of Theoretical Biology, 1979