[R] attractive spatial point process?

[Roger Peng]

Maybe check the 'splancs' package?

-roger
_______________________________
UCLA Department of Statistics
rpeng at stat.ucla.edu
http://www.stat.ucla.edu/~rpeng

On Tue, 7 May 2002, James Marca wrote:

> Hi all,
> 
> before I roll my own, naive implementation of a particular 
> spatial point process, I thought I'd ask whether this has 
> already been done.
> 
> Specifically, I am looking for essentially the opposite of the 
> Strauss and Mate'rn processes included in library(spatial) and 
> documented in MASS.  I am examining daily travel patterns, focusing
> on just the destinations of trips, not the movement itself.  As 
> people tend to go to the same places repeatedly, I think an 
> appropriate spatial point process would be one which has a 
> large probability of visiting the neighborhood of a prior point
> (but not the current point---this is a trip, after all), while at 
> the same time having a non-zero probability of visiting a new point.  
> Contrast this with the solid core/non-overlapping aspects of Strauss 
> and SSI.  Perhaps my process should be called SSA? 
> 
> Following the implementation of Strauss, I was going to parameterize 
> the size of the points and the repeat/new probabilities, write 
> a little C program, then see how the process K value compares to 
> my collected data.  
> 
> A moderate-level search of R resources didn't 
> turn up such a process already, and a Google search was equally 
> useless (although this is perhaps due to my cluelessness regarding 
> what to call this kind of process).
> 
> Any pointers would be kindly appreciated, including "roll your 
> own" and "read these refs."  
> 
> ---thanks in advance,
> James
> 
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