Maybe it's about kernel density estimation and non-parametric kernel regression estimation in point pattern analysis. I have some materials on application and theories for them, but i haven't found how to do them in R, respectively. Anybody can show the functions for kernel density estimation and non-parametric kernel regression estimation in point pattern analysis? BTW, for Dr. Gerald Jurasinski , contact me if you need the materials i mentioned above.
On 8/28/07, [EMAIL PROTECTED] < [EMAIL PROTECTED]> wrote: > > Send R-sig-Geo mailing list submissions to > r-sig-geo@stat.math.ethz.ch > > To subscribe or unsubscribe via the World Wide Web, visit > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > or, via email, send a message with subject or body 'help' to > [EMAIL PROTECTED] > > You can reach the person managing the list at > [EMAIL PROTECTED] > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of R-sig-Geo digest..." > > > Today's Topics: > > 1. (no subject) (Gerald Jurasinski) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Tue, 28 Aug 2007 10:40:12 +0200 > From: Gerald Jurasinski <[EMAIL PROTECTED]> > Subject: [R-sig-Geo] (no subject) > To: r-sig-geo@stat.math.ethz.ch > Message-ID: <[EMAIL PROTECTED]> > Content-Type: text/plain > > Hello, > > In our lab we have an actual mapping problem and maybe there is an R > solution to it. > Aim is to calculate a surface from calculated data of fine root > biomass. Therefore a number of single trees (approx. 3000) have been > sampled. With a function from the literature it is possible to > estimate the spatial distribution of the fine root biomass of this > single tree depending on tree species, tree diameter at breast height > and the distance from the stem. Around each tree something like a > Gaussian bell curve results. > > We thought about creating radial polygons around each tree (the > radius results from the application of the function), To sample a > number (depending on the radius) of randomly distributed points > inside each polygon (with sample.Spatial). To calculate the value of > fine root biomasss for each of the points (from the formula). And to > use this points to create the surface. > > Is there maybe a better and more straightforward way to do this? > > Many thanks for suggestions. > Gerald Jurasinski > > > > Dr. Gerald Jurasinski > Landschaftsökologie und Standortkunde > Institut Management Ländlicher Räume > Agrar- und Umweltwissenschaftliche Fakultät > Universität Rostock > Justus-von-Liebig-Weg 6 > 18059 Rostock > > [EMAIL PROTECTED] > http://www.auf.uni-rostock.de/loe > +49 381 4983225 (tel) > +49 381 4983222 (fax) > > > > > [[alternative HTML version deleted]] > > > > ------------------------------ > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > > > End of R-sig-Geo Digest, Vol 48, Issue 22 > ***************************************** > -- With Kind Regards, oooO::::::::: (..)::::::::: :\.(:::Oooo:: ::\_)::(..):: :::::::)./::: ::::::(_/:::: ::::::::::::: [***********************************************************************] Zhi Jie,Zhang ,PHD Tel:86-21-54237149 Dept. of Epidemiology,School of Public Health,Fudan University Address:No. 138 Yi Xue Yuan Road,Shanghai,China Postcode:200032 Email:[EMAIL PROTECTED] Website: www.statABC.com [***********************************************************************] oooO::::::::: (..)::::::::: :\.(:::Oooo:: ::\_)::(..):: :::::::)./::: ::::::(_/:::: ::::::::::::: [[alternative HTML version deleted]]
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