Dear all, I was wondering if there is an easy way to generate coordinates of clustered spatial point pattern.(possibly with variations on the degree of aggregation). So far one can easily generate random patterns (splancs: csr; sp: spsample) or regular (sp: spsample or some simple lines of programme), but I cannot find out if there is some existing function in R capable of generating some points clustering... Any suggestion welcome, Best, Patrick
spatial point pattern with correlation structure
3 messages · Patrick Giraudoux, Roger Bivand, Rolf Turner
On Tue, 9 Nov 2010, Patrick Giraudoux wrote:
Dear all, I was wondering if there is an easy way to generate coordinates of clustered spatial point pattern.(possibly with variations on the degree of aggregation). So far one can easily generate random patterns (splancs: csr; sp: spsample) or regular (sp: spsample or some simple lines of programme), but I cannot find out if there is some existing function in R capable of generating some points clustering...
In splancs, the pcp.sim() function is one possibility. However, there are many more in spatstat, with rpoispp() as a very interesting possibility to use an image to introduce inhomogeneity into the pattern. Hope this helps, Roger
Any suggestion welcome, Best, Patrick
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Roger Bivand Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Helleveien 30, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43 e-mail: Roger.Bivand at nhh.no
On 10/11/2010, at 7:21 AM, Roger Bivand wrote:
On Tue, 9 Nov 2010, Patrick Giraudoux wrote:
Dear all, I was wondering if there is an easy way to generate coordinates of clustered spatial point pattern.(possibly with variations on the degree of aggregation). So far one can easily generate random patterns (splancs: csr; sp: spsample) or regular (sp: spsample or some simple lines of programme), but I cannot find out if there is some existing function in R capable of generating some points clustering...
In splancs, the pcp.sim() function is one possibility. However, there are many more in spatstat, with rpoispp() as a very interesting possibility to use an image to introduce inhomogeneity into the pattern. Hope this helps,
There are quite a few tools for generating clustered point patterns in spatstat, including rMatClust, rThomas, and rNeymanScott. The spatstat package is referred to under "Point pattern analysis" in the CRAN "Task View: Analysis of Spatial Data", so I'm surprised that M. Giraudoux overlooked it. cheers, Rolf Turner