adehabitat​HR: calculatio​n of UDOI using adaptive and fixed kernels

Dear list,

I am trying to quantify the utilization distribution overlap index (UDOI;
e.g., Fieberg and Kochanny 2005) for several birds using the package
adehabitatHR (v. 0.4.2). I have already generated utilization distributions
(UD) for the birds using adaptive and fixed kernel methods in Animal Space
Use (Horne and Garton 2006a, Horne and Garton 2006b, Horne and Garton
2007). Specifically, the information theoretic approach available in Animal
Space Use was used to determine the most appropriate method to estimate
home ranges for each of our birds, which resulted in a mix of adaptive and
fixed kernels. Preferably, I would like to pass the UDs generated in Animal
Space Use to the function kerneloverlap (or perhaps kerneloverlaphr) in
adehabitatHR, but I can’t find the methods/documentation to do so.

Alternatively, I could generate UDs using the kernelUD function in
adehabitatHR. However, as far as I can tell, adaptive and fixed kernel
methods are not available in the kernelUD function.

A sample of the UD data (output as a .txt) from Animal Space Use for two
birds (I added “Name”):

         X                 Y              Name          Probability

3687857.115   452370.15       A         0.000000002

3687857.115   452371.85       A         0.000000002

3687857.115   452373.55       A         0.000000003

3687857.115   452375.25       A         0.000000003