More a work-around than a solution, but you could export the results
data.frame as a csv and then import as an xy in arcmap (then save as a shp).
The Columbus example...

## GWR example

library(spgwr)

data(columbus)

main <- columbus

main <- cbind(main, region=1:49)

main.lm <- lm(crime ~ income + housing, data=main)

summary(main.lm)

main.bw <- gwr.sel(crime ~ income + housing, data=main,

  coords=cbind(main$x, main$y))

main.gauss <- gwr(crime ~ income + housing, data=main,

  coords=cbind(main$x, main$y), bandwidth=main.bw, hatmatrix=TRUE)

main.gauss

main.gauss$SDF

main_res <- cbind(main, main.gauss$SDF)

main_res

write.table(main_res, file = "main_gwr.csv", sep = ",", col.names = NA)




Jakob Petersen

PhD candidate
Geography UCL

pbokaj...@gmail.com

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