I'm still not entirely sure what you're getting at: spatial correlation of origin/destination locations to each other? Or some characteristic of the origin/destination pairs? It sounds like the latter, but then the question is "correlated with what"?
The choice of method is ultimately driven by the conceptual model of the phenomena, which is what those questions are getting at. If you can answer those questions with some precision, finding an analytic method that can implement the resulting model is fairly straightforward. If you're still trying to sharpen your thinking (or even if you think you have the abstractions nailed down and are just looking for corresponding methods), I'd recommend starting with the "spatstat" package (e.g. via the website www.spatstat.org) and following its reference list into the world of spatial statistics. If you're actually interested in stolen cars, you might take a look at CrimeStat (http://www.icpsr.umich.edu/CrimeStat/) which rolls up implementations of a lot of spatial statistics techniques that could be applicable in tracking crimes and finding criminals. The software is "free as in beer" but it is not implemented in R (though I suppose one might be able to wrap the provided library functions). The various analytic methods are mostly standard and reasonably well documented, so any given analysis could be quite readily reproduced in the statistical system of your choice. I hope that helps! Jeremy Raw, P.E. FHWA Office of Planning [email protected] (202) 366-0986 From: Rich Heimann [mailto:[email protected]] Sent: Wednesday, October 12, 2011 7:26 PM To: Raw, Jeremy Cc: [email protected] Subject: Re: [R-sig-Geo] Correlation between O&D Great! I hope you can tell me more. I am considering origin and destination to be linked data... Such as a stolen car and a recovered car - rather than an independent point pattern. I hope that clears things up? Regards, Rich Rich Heimann Tel: (571) 403-0119 [email protected] On Wed, Oct 12, 2011 at 3:16 PM, <[email protected]> wrote: It all depends on what you mean by "origin and destination data". Assuming I am allowed to make up my own definitions, the answer is definitely "yes" :-) My advice is to be somewhat more specific about the problem domain. Jeremy Raw, P.E. FHWA Office of Planning [email protected] (202) 366-0986 <tel:%28202%29%20366-0986> -----Original Message----- From: [email protected] [mailto:[email protected]] On Behalf Of Rich Heimann Sent: Wednesday, October 12, 2011 2:24 PM To: [email protected] Subject: [R-sig-Geo] Correlation between O&D Hello all, I want to know if the list is aware of a way to determine whether origin and destination data is correlated - rather than looking at each as independent? Any advise? Thanks, Rich Rich Heimann Richard Heimann | ITT Corporation | T: 571.403.0119 | [email protected] Richard Heimann | University of Maryland, Baltimore County | T: 571.403.0119 | [email protected] Contact Me <http://www.linkedin.com/in/rheimann> LinkedIn<http://www.linkedin.com/in/rheimann> <https://twitter.com/rheimann> Twitter <https://twitter.com/rheimann> <https://plus.google.com/117471169530873553158> Google Plus<https://plus.google.com/117471169530873553158> Chat [image: Google Talk] heimann.richard [image: Skype] heimann.rich [image: Twitter] <http://twitter.com/rheimann> Latest tweet: An Intuitive Explanation of Bayes' Theorem: http://t.co/6DAh8O43 Follow @rheimann <http://twitter.com/rheimann> Reply <http://twitter.com/?status=@rheimann%20&in_reply_to_status_id=123943215 412953090&in_reply_to=rheimann <http://twitter.com/?status=@rheimann%20&in_reply_to_status_id=123943215 %0A412953090&in_reply_to=rheimann> > Retweet <http://twitter.com/?status=RT%20%40rheimann%3A%20An%20Intuitive%20Expla nation%20of%20Bayes%27%20Theorem%3A%20http%3A%2F%2Ft.co%2F6DAh8O43> 22:08 Oct-11<http://twitter.com/rheimann/statuses/123943215412953089> Get this email app! <http://www.wisestamp.com/apps/twitter?utm_source=extension&utm_medium=e mail&utm_term=twitter&utm_campaign=apps <http://www.wisestamp.com/apps/twitter?utm_source=extension&utm_medium=e %0Amail&utm_term=twitter&utm_campaign=apps> > Please consider your environmental responsibility. Before printing this e-mail message, ask yourself whether you really need a hard copy. [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo
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