search for: gwr

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 [[alternative HTML version deleted]]
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. --