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Worton, B.J.
Kernel methods for estimating the utilization distribution in home-range studies
1989  Ecology (70): 164-168

In this paper kernel methods for the nonparametric estimation of the utilization distribution from a random sample of locationel observations made on an animal in its home range are described. They are of flexible form, this 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 Anderson (1982) Fourier transform method, some comparison are made.

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