[R] adehabitatLT -- movement based kernel density

[Juliane Struve]

Dear list,
 
I am intersted in estimating movement based kernel densities for fish that were relocated at fixed receivers positioned along the coast. These data tend to display both a drift movment between receivers and a random movement component that can be estimated from the mean and the variance of the transit time between receivers.  If I obtain an estimate of the diffusion coefficient from multiple observations how can I use it to predict the movement based kernel distribution between two receivers ? So rather than estimating the diffusion coeffiient from the data as demonstrated in the documentation for adehabitatLT I would like to use BRB.D() to visualize the kernel distribution between two locations based on known movement parameters, or at least explore the idea. However, I am not sure how to proceed. Below is an example of the type of data I am working with.
 
I would be grateful for some thoughts or suggstions.
 
Regards,
 
Juliane
 
 
       X       Y          ID VR2     Fish_ID                Date VR2    Number Habitat 
2 345481 3020908  21 BPN    1646 2006-08-18 08:51:27        31    pass   
3 345481 3020908  22 BPN    1646 2006-08-18 08:52:05        31    pass   
4 345481 3020908  24 BPN    1646 2006-08-18 08:53:20        31    pass   
5 345481 3020908  43 BPN    1646 2006-08-18 09:09:05        31    pass   
6 345580 3020891 206 BPS    1646 2006-08-18 09:53:20        30    pass   
7 345580 3020891 215 BPS    1646 2006-08-18 09:59:07        30    pass