Displaying 5 results from an estimated 5 matches for "gwr".
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2008 Oct 30
1
A question about pairs()
Greetings R users,
I am an R graphics newbie trying to produce a custom trellis plot using
pairs() with R 2.7.2.
I have spatial data on which I run a geographically weighted regression
(gwr, using the -spgwr- package). I want to check the gwr coefficients
for multicollinearity and spatial association, following Wheeler and
Tiefelsdorf (2005), and I would like to summarize the results of this
exercise using -pairs-.
My problem is that I want to generate figures for two groups of
v...
2008 Oct 09
1
GWR Predictions' standard deviation
Dear all,
I would like to use a GWR model in order to spatially predict food
insecurity in Africa. I have a georeferenced village data-bases and I've run
a "classic" regression model (taking into account the spatial dependence of
the errors) that works fairly well for Niger that is a quite homogenous
country. Now, I wou...
2010 Nov 24
0
Problems with implementing gwr when categorical variables are included
Hi guyz
I have problems running the gwr when I include the categorical/nominal
variables with 2 to 3 levels. Could it be that gwr does not cater for such
variables? I tried indicating that these variables are factors but this is
not helping.
Firstly, the cross-validation bandwidth (using gwr.sel) cannot be computed
(gives warnings) and...
2007 Sep 24
1
GWR modeling with dummy variables
...cils. I'm trying to understand how to integrate the
dummy variables in the geographically weight regression model. I'm reading
Fotheringham et.al. and see reference to using dummy variables, but I don't
see an example ilustrating the procedure. I also don't see an example in
the spgwr.pdf files associated with the package.
If anyone has experience with this I'd certainly like to hear from you.
I'm using R-2.5.1 on a PC.
Thanks in advance.
Steve
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2004 Sep 24
3
geographically weighted glm
Hi all,
I am interested in obtaining R code related to geographically weighted
regression.
In particular, I am interested in building geographically weighted
Poisson GLMs. The model will contain categorical and continuous x
independent variables, with interaction effects between categorical and
continuous variables.
Anybody have anything I can look at?
thanks,
Mark.
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