that is a pretty big question. And I am not qualified to answer it, but my suggestion- from figuring out how to use other things- is to find out how other people have modeled ecological niches- not necessarily with R, and then try and find out functions that preform the pieces or the whole analysis. I believe there is a book out there about modeling ecological niches with R. I did a google search for that and this is what I found: http://www.zoology.ufl.edu/bolker/emdbook/. I don't know if this helps, but maybe it will. Good luck.
On Tue, Oct 7, 2008 at 12:46 PM, milton ruser <[EMAIL PROTECTED]> wrote: > Dear all, > I have strong interest on Ecological Niche Model, which in general use a set > of environmental variables (continuous, categorical etc) and Presence (or > Presense/Absence) records for species. I think that "grasp" and "adehabitat" > packages could help me on these tasks. > My input layers are on ASC format, and the record of species is a data-frame > with X, Y, name of species. Note that in general we don´t have real absence > data. > > Could someone give some advice how can I use "grasp" and/or "adehabitat" to > generate my predictive models? > > Best regards, > > Miltinho AStronauta > brazil > > [[alternative HTML version deleted]] > > > ______________________________________________ > 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. > > -- Stephen Sefick Research Scientist Southeastern Natural Sciences Academy Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis ______________________________________________ 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.
