Dear Listers,
Everybody is probably used with sp:spsample, which permits to produce points locations at random or on a regular grid. Is anybody aware of a package permitting similarly to produce points locations in a field with various degrees of clustering. The idea is to produce points in a field with various degrees of clustering repetedly, and to compare statistics to observed data. E.g. observations in the real world are clustered; one computes a statistics, e.g. the distance of each observation to a feature (e.g. to a road network); then one compute B=999 similarly clustered distributions randomly and the corresponding statistics. This would allow to compute how likely the observed statistics is. Any hint welcome! Best, Patrick [[alternative HTML version deleted]] _______________________________________________ RsigGeo mailing list [hidden email] https://stat.ethz.ch/mailman/listinfo/rsiggeo 
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Just a thought  spatstat? This has had line segements too for some time,
maybe chapter 17 in the spatstat book? Roger On Thu, 22 Mar 2018, Patrick Giraudoux wrote: > Dear Listers, > > Everybody is probably used with sp:spsample, which permits to produce > points locations at random or on a regular grid. Is anybody aware of a > package permitting similarly to produce points locations in a field with > various degrees of clustering. The idea is to produce points in a field > with various degrees of clustering repetedly, and to compare statistics > to observed data. E.g. observations in the real world are clustered; > one computes a statistics, e.g. the distance of each observation to a > feature (e.g. to a road network); then one compute B=999 similarly > clustered distributions randomly and the corresponding statistics. This > would allow to compute how likely the observed statistics is. > > Any hint welcome! > > Best, > > Patrick > > > [[alternative HTML version deleted]] > > _______________________________________________ > RsigGeo mailing list > [hidden email] > https://stat.ethz.ch/mailman/listinfo/rsiggeo > Roger Bivand Department of Economics, Norwegian School of Economics, Helleveien 30, N5045 Bergen, Norway. voice: +47 55 95 93 55; email: [hidden email] http://orcid.org/0000000323926140 https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en _______________________________________________ RsigGeo mailing list [hidden email] https://stat.ethz.ch/mailman/listinfo/rsiggeo
Roger Bivand
Department of Economics Norwegian School of Economics Helleveien 30 N5045 Bergen, Norway 
Le 23/03/2018 à 08:59, Roger Bivand a écrit :
> Just a thought  spatstat? This has had line segements too for some > time, maybe chapter 17 in the spatstat book? > > Roger Thanks Roger. I will check this. If nothing comes out, I am thinking about developping a quick and dirty homemade function based on negative binomial distribution where a "clustering" (dispersion) parameter can be tuned... Hence, shit stats for hazel grouse and capercaillie shit distribution :D... Patric _______________________________________________ RsigGeo mailing list [hidden email] https://stat.ethz.ch/mailman/listinfo/rsiggeo 
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Le 23/03/2018 à 08:59, Roger Bivand a écrit :
> Just a thought  spatstat? This has had line segements too for some > time, maybe chapter 17 in the spatstat book? > > Roger Indeed. There are at least two possibilities: simulations using either Matern process or NeymanScott Point Process with Variance Gamma cluster kernel... Will see how it could be applicable in my case. Thanks again for the hint, Roger. Patrick _______________________________________________ RsigGeo mailing list [hidden email] https://stat.ethz.ch/mailman/listinfo/rsiggeo 
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