search for: spgwr

...uncils. 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]]

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. --

...omFields ReporteRs Rmpi Rssa TR8 VarEff > aoristic breakage dplyr effects ftsa geocodeHERE ggHorizon ggmap > ggtern gvcm.cat hyperSpec knitcitation knitr mboost mets mfblock > mobForest mra nontarget npRmpi nullabor openNLP parfm plsRbeta powerr > pxweb rcrossref rgbif rsnps season spMC spgwr spocc taxize timereg > toaster > > and warnings in DSpat > > In almost all cases there is something obviously wrong with the > failing example. > > Please submit an update to CRAN (using the webform, and following the > CRAN policies at http://cran.r-project.org/web/packa...

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 variables and then...

...mpi Rssa TR8 VarEff > > aoristic breakage dplyr effects ftsa geocodeHERE ggHorizon ggmap > > ggtern gvcm.cat hyperSpec knitcitation knitr mboost mets mfblock > > mobForest mra nontarget npRmpi nullabor openNLP parfm plsRbeta powerr > > pxweb rcrossref rgbif rsnps season spMC spgwr spocc taxize timereg > > toaster > > > > and warnings in DSpat > > > > In almost all cases there is something obviously wrong with the > > failing example. > > > > Please submit an update to CRAN (using the webform, and following the > > CRAN po...

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 would like to make the same thing for countries where it should be

..."sna","som","SoPhy","sound","sp","SparseLogReg","SparseM","spatial","spatialCovariance","spatstat","spc","spdep","spe","spectralGP","spectrino","spgwr","splancs","splines","ssanv","sspir","startupmsg","StatDataML","statmod","stats","stats4","stepwise","StoppingRules","strucchange","subselect","sudoku",&q...

CRAN (and crantastic) updates this week New packages ------------ * EffectStars (1.0) Maintainer: Unknown Author(s): Gunther Schauberger License: GPL-2 http://crantastic.org/packages/EffectStars The package provides functions to visualize regression models with categorical response. The effects of the covariates are plotted with star plots in order to allow for an optical

...7), sn (0.4-15), sna (2.1-0), snowfall (1.84), snowFT (1.2-0), som (0.3-5), someKfwer (1.1), sos (1.3-0), sp (0.9-65), spam (0.22-0), sparcl (1.0.1), spatgraphs (2.37), spatial (7.3-2), spatialsegregation (2.18), spatstat (1.19-3), spBayes (0.1-8), spcosa (0.2-1), spdep (0.5-14), spgrass6 (0.6-16), spgwr (0.6-8), sphet (1.0-0), splancs (2.01-27), sqldf (0.3-5), st (1.1.4), stab (0.0.8), StatDataML (1.0-20), StatFingerprints (2.0), statmod (1.4.6), stockPortfolio (1.1), stringkernels (0.8.9), SubpathwayMiner (3.0), surveillance (1.2-1), survey (3.22-2), SV (1.2.4), svcR (1.6.4), svGUI (0.9-47), svID...