[R-sig-Geo] Local Moran's I spatial weights

[Daniel Wicks]

I have a number of random sample points across a study area.  At each point an observation has been made as to the occurrence of an event, marked accordingly with a 0 or 1 based on a presence or absence of the event.  I am interested in visualising the spatial association between these points.  I therefore want to create a map showing local variation of Moran's I but in the form of a continuous surface across the entire study area.  You can achieve this in GWR using the fit.points weighted by distances from the data points to produce a map of local variation in regression.  I am trying to do something similar with Moran's I.

I apologise for the confusion as I am not best sure how to express my query.

Dan.


On 12 Jun 2012, at 12:37, Roger Bivand wrote:

> On Tue, 12 Jun 2012, djrwicks wrote:
> 
>> Thank you, a geographically weighted measure of Moran's I sounds like a
>> sensible description of what I am trying to achieve.  Is it possible to
>> calculate this using GW weights?
> 
> Please do quote the thread, because nabble servers do go over capacity (as at present), and the context is lost.
> 
> I replied to your first post by asking for more precision. I still don't have it. What do you mean by "a geographically weighted measure of Moran's I"? The spatial weights used in the global and local measures relate the observations of a variable, where the relationships are expressed by a weights matrix. The matrix of GW weights would look like this when the GW data points and fit points are the same points, because the weights are from fit point i to all data points.
> 
> You have not made your needs plain at all, I'm afraid.
> 
> Roger
> 
>> 
>> Dan.
>> 
>> --
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>> 
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> 
> -- 
> Roger Bivand
> Department of Economics, NHH Norwegian School of Economics,
> 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
>