Great! Thanks. I am looking more to the "complicated" measure of bivariate
point processes which are linked. I have some better direction now and will
take a close look at spatstat.

On Thu, Oct 13, 2011 at 10:13 AM, Barry Rowlingson <
[email protected]> wrote:

>
>
> On Thu, Oct 13, 2011 at 1:40 PM, <[email protected]> wrote:
>
>> 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”?****
>>
>>
>>
>
> It sounds like you've got a bivariate point pattern - a set of origin
> points and a set of destination points - and you want to ask questions about
> the relationship of the underlying processes...
>
>  Read:
>
>
> http://www.amazon.co.uk/Statistical-Analysis-Spatial-Point-Patterns/dp/0340740701
>
>  which should give you an outline.
>
>  You probably want to use some kind of bivariate K-function. This estimates
> the number of events that occur within a distance of an event, based on the
> type. If type 2 and type 1 events are being generated by the same process,
> then the number of type 1's and type 2's within a distance from a type 1 or
> a type 2 event should be the same (within estimation errors, in practice).
> For example, if thefts mostly happen in the east side of town, and
> recoveries on the other side of the tracks, then you'll see more thefts near
> thefts than recoveries near to thefts. If the number of recoveries near
> thefts is the same as the number of other thefts, then you can possibly
> conclude the reverse, that its all happening everywhere. An interesting
> complication could be that you can link each theft event with its recovery
> event, so maybe what you really have is a spatial line process. Possibly you
> might want to look at the length, direction, orientation, and
> endpoint-locations of the lines...
>
>  The spatstat package can do all the point-pattern stuff, and splancs has
> some K-function code too...
>
> Barry
>
>

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