LoCoH: Nonparameteric Kernel Methods for Constructing Home Ranges and Utilization Distributions

@article{Getz2007LoCoHNK,
  title={LoCoH: Nonparameteric Kernel Methods for Constructing Home Ranges and Utilization Distributions},
  author={W. Getz and Scott Fortmann-Roe and P. Cross and Andrew J. Lyons and S. Ryan and C. Wilmers},
  journal={PLoS ONE},
  year={2007},
  volume={2}
}
Parametric kernel methods currently dominate the literature regarding the construction of animal home ranges (HRs) and utilization distributions (UDs). These methods frequently fail to capture the kinds of hard boundaries common to many natural systems. Recently a local convex hull (LoCoH) nonparametric kernel method, which generalizes the minimum convex polygon (MCP) method, was shown to be more appropriate than parametric kernel methods for constructing HRs and UDs, because of its ability to… Expand

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