Kernel Methods for Estimating the Utilization Distribution in Home‐Range Studies
1989/02/01 by B. J. Worton, Bruce J. Worton · 74 citations
Biochemistry, Genetics and Molecular Biology · Environmental Science · Veterinary · #Genetic and phenotypic traits in livestock #Wildlife Ecology and Conservation #Animal Behavior and Welfare Studies
paper · doi: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.
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