Dear R-users, I intend to do a spatial analysis on the genetic structuring within a population. For this I had thought to prepare a kernel density estimate map showing the spatial distribution of individuals, while incorporating the genetic distances among individuals. I have a dataset of locations of N unique individuals (XY-coordinates) and an NxN matrix with the genetic distances given as a fraction between 0 and 1. As far as I understand the methodology, a kernel density estimate works with the geographic distance matrix. My idea was to somehow incorporate the genetic distance matrix (e.g. as an among-individual-based smoothing factor???) in the estimation. Does anyone know if this is possible? To me it sounds a logical inclusion which may be interesting for a wide variety of topics (i.e., "not all individuals are equal"). I hope someone knows of any way to proceed. Thanks in advance,
Cheers Roel May Roel May Norwegian Institute for Nature Research (NINA) Tungasletta 2, NO-7485 Trondheim, Norway Tlf. +47 73 80 14 65, Mob. +47 95 78 59 95 Email [EMAIL PROTECTED] Internett www.nina.no, www.jerv.info ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
