Local Moran's I spatial weights
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. -- View this message in context: http://r-sig-geo.2731867.n2.nabble.com/Local-Moran-s-I-spatial-weights-tp7580157p7580164.html Sent from the R-sig-geo mailing list archive at Nabble.com.
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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