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.Bone@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.plangeo@gmail.com

	[[alternative HTML version deleted]]

