= B. J. Worton
{c}
<B. J. Worton> developed statistical methods for estimating animal space use. A 1989 paper applied <kernel density estimation> to the <utilization distribution>, comparing fixed and adaptive kernels and choices of <smoothing parameter>.<Kernel Methods for Estimating the Utilization Distribution in Home-Range Studies by B. J. Worton>[Abstract; methods, examples and smoothing choices]{ref}
A location sample is a collection of points, while a <utilization distribution> describes how use varies across a region. Smoothing connects those descriptions, but the choice changes the resulting map. A very narrow kernel around each recorded location emphasizes isolated peaks; a broader kernel can merge nearby clusters. Neither choice creates additional observations.
The contribution matters because a <home range> outline alone cannot express every difference in intensity of use. Estimating a spatial <probability density function> makes those differences quantitative, while keeping assumptions about observation times and sampling visible. The methodological paper supplies a reusable estimator, not a guarantee that every recorded movement sample is independent or representative.
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