Hi Chistopher, According with the documentation of spgwr, the gwr model gives the following outputs ( help(gwr) ):
A list of class gwr: SDF: a SpatialPointsDataFrame (may be gridded) or SpatialPolygonsDataFrame > object (see package "sp") with fit.points, weights, GWR coefficient > estimates, R-squared, and coefficient standard errors in its "data" slot. lhat: Leung et al. L matrix lm: Ordinary least squares global regression on the same model formula, as > returned by lm.wfit(). bandwidth: the bandwidth used. this.call: the function call used. So, SDF is a spatial data frame object. Inside, we have, by example: > names(gwr.model$SDF) [1] "sum.w" "X.Intercept." "V04" "V05" "gwr.R2" "X1" "X2" "X3" [9] "coord.x" "coord.y" Where sum.w is the sum of the weights, X.Intercept is the intercept for each i regression, gwr.R2 is the R2 for each i regression. You can write a shapefile with this with something like: writePolyShape(model.gwr$SDF, "nameshape") This will write a shapefile named "nameshape" in your current directory for R. On Fri, Sep 17, 2010 at 2:33 PM, Bone, Christopher < christopher.b...@nrcan-rncan.gc.ca> wrote: > Thank you for your email Raphael. > > I'm interested in knowing the values in the tabular output that I mentioned > because I would like to spatially map the residuals from the GWR model and > the coefficient estimates. I assume that these exist in this table, however > I am not quite sure what the different variable suffixes (_e, _se, _EDF) > represent. I assume that e = estimate, se = standard error, EDF = effective > degrees of freedom, but not sure if this is correct. I have checked the docs > on R and cannot seem to get any information on this. > > Cheers, > Chris > > ------------------------------ > *From:* Raphael Saldanha [mailto:saldanha.plan...@gmail.com] > *Sent:* Friday, September 17, 2010 9:46 AM > *To:* Bone, Christopher > *Cc:* r-sig-geo@stat.math.ethz.ch > *Subject:* Re: [R-sig-Geo] GWR Output > > Hi Christopher, > > You can see the full output of the GWR model calling just the object: > > Gwr.model > > The documentation of the library is here: > http://cran.r-project.org/web/packages/spgwr/spgwr.pdf > > A short introduction to R's GWR function can be seen here ( > http://www.bris.ac.uk/cmpo/events/2009/segregation/gwr.pdf). > > On Fri, Sep 17, 2010 at 1:33 PM, Bone, Christopher < > christopher.b...@nrcan-rncan.gc.ca> wrote: > >> Hello, >> >> I have performed geographically weighted regression using independent >> variables x1 and x2 and have received a tabular output. The gwr function >> was called using the script: >> >> Gwr.model = gwr(....) >> >> and the tabular output was obtained by using the script: >> >> Gwr.model[[1]] >> >> The tabular output has a set of variables (columns), however I am unsure >> exactly what each variable represents. The variables include: >> >> X.Intercept >> x1 >> x2 >> X.Intercept._se >> x1_se >> x2_se >> gwr.e >> pred >> pred.se >> X.Intercept._se_EDF >> x1_se_EDF >> x2_se_EDF >> pred.se.EDF >> >> I have searched around and cannot seem to located any information >> explaining the meaning of these headings and I cannot seem to make sense >> of them given the values in the tables. Any help would be greatly >> appreciated. >> >> Thank you in advance, >> Chris >> >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> R-sig-Geo mailing list >> R-sig-Geo@stat.math.ethz.ch >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >> > > > > Regards, > > Raphael Saldanha > saldanha.plan...@gmail.com > -- Regards, Raphael Saldanha saldanha.plan...@gmail.com [[alternative HTML version deleted]]
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