On Thu, Nov 26, 2009 at 6:56 PM, David Winsemius <dwinsem...@comcast.net> wrote:
<The situation that I see (after looking at the documentation for adehabit) is that for some as yet <unarticulated reason, you have decided that the methods used in prior publications in your domain are <not the best and you are going to invent new ones, There is nothing particularly cutting edge about wanting to estimate home range size from a utilization distribution - Worton (1987, 1989) applied kernel methods to estimate the UD and specifically home range size over 20 years ago. Based on the literature (Gitzen et al. 2006) and the spatial distribution of my data, it is reasonable to conclude the plug-in method of bandwidth selection is the best possible option. <but you are as yet unable to provided a detailed specification or offer an implementation of the <methods. Furthermore, you are unable even to manipulate the objects you have thus far created in <service toward this effort. I never said I was a programmer. I simply asked if there was a way to convert a kde object into a spatial object (e.g. SpatialPixels, SpatialPolygons) for export into a GIS. Or, alternatively, to generate the 2-D spatial area underneath the 3-D utilisation distribution of a kde object. <I am being somewhat harsh in my assessment because it seems that you really need is a statistical <collaborator with whom you can bang ideas together and arrive, first at a more detailed rationale and <plan, and then a forward effort using your data and his programming expertise to demonstrate the <superiority of your method. That would seem to be most reasonably a joint effort with joint authorship <as an outcome. Perhaps you are speculating beyond what is warranted under the circumstances. I'm sure this is well-intentioned, but perhaps it is not as appropriate as you would have wished. Tyler -- View this message in context: http://old.nabble.com/Export-kde-object-as-shapefile-tp26532782p26545381.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
