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
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