kernelkc
(Package: adehabitatHR) :
Kernel Smoothing in Space and Time of the Animals' Use of Space
These functions estimate the utilization distribution (UD) in space and time of animals monitored using radio-telemetry, using the product kernel estimator advocated by Keating and Cherry (2009).
kernelbb
(Package: adehabitatHR) :
Estimation of Kernel Brownian Bridge Home-Range
kernelbb is used to estimate the utilization distribution of an animal using the brownian bridge approach of the kernel method (for autocorrelated relocations; Bullard 1991, Horne et al. 2007).
kerneloverlap
(Package: adehabitatHR) :
Spatial Interaction between Animals Monitored Using Radio-Tracking
These functions implements all the indices of kernel home-range overlap reviewed by Fieberg and Kochanny (2005). kerneloverlap computes these indices from a set of relocations, whereas kerneloverlaphr computes these indices from an object containing the utilization distributions of the animals.
MCHu
(Package: adehabitatHR) :
The Class "MCHu": Managing Home Ranges Built by Multiple Convex
The class "MCHu" is designed to store home ranges built by multiple convex hulls, for example built using the single-linkage cluster algorithm (function clusterhr) or the LoCoH (e.g. function LoCoH.k).
This function estimates the utilization distribution of one/several animals using a biased random bridge approach (Benhamou and Cornelis 2010, Benhamou 2011). This function also allows the decomposition of the utilization distribution into (i) an intensity distribution reflecting the average time spent by the animal in the habitat patches, and (ii) a recursion distribution reflecting the number of visits of the animal in the habitat patches (Benhamou and Riotte-Lambert, 2012).
providing 
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