[R-sig-Geo] functions on kernel density estimation in point patternanalysis
Rob Robinson
rob.robinson at bto.org
Mon Jun 25 11:03:01 CEST 2007
Have you had a look at package ks? It seems to do rather nice bivariate
kernels, and (I think) generalises to other dimensions.
Cheers
Rob
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==== "How can anyone be enlightened, when truth is so poorly lit" =====
> -----Original Message-----
> From: r-sig-geo-bounces at stat.math.ethz.ch
> [mailto:r-sig-geo-bounces at stat.math.ethz.ch] On Behalf Of zhijie zhang
> Sent: 24 June 2007 15:57
> To: r-sig-geo at stat.math.ethz.ch
> Subject: [R-sig-Geo] functions on kernel density estimation
> in point patternanalysis
>
> Dear Friends,
> Except kernel2d(splancs) function, are there any other
> functions on kernel density estimation in point pattern
> analysis? I use the kernel2d(splancs) function to anayze my
> dataset, and the result seems not to be very good.
> Any suggestions or help in kernel density estimation of
> univariate or multivariate point process are greatly appreciated.
> BTW, i mainly want ot do the kernel density estimation in
> both univariate and multivariate point process.
> --
> With Kind Regards,
>
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> 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:epistat at gmail.com
> Website: www.statABC.com
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