I use to be able to run this script without any problem, but now the fortify {ggplot2} command gives me an error message. Any hint of what might be the problem would be grea
I got it to work in ggplot2
and here is how I did it with the version and session info at the bottom.
rm(list = ls(all = TRUE)) #clear workspace
library(maptools)
library(gpclib)
library(ggplot2)
shape<-readShapeSpatial("./fao/World_Fao_Zones.shp")
shape@data$id <- rownames(shape@data)
shape.fort <- fortify(shape, region='id')
shape.fort<-shape.fort[order(shape.fort$order), ]
ggplot(data=shape.fort, aes(long, lat, group=group)) +
geom_polygon(colour='black',
fill='white') +
theme_bw()
> sessionInfo()
R version 2.15.0 (2012-03-30)
Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)
locale:
[1] C/en_US.UTF-8/C/C/C/C
attached base packages:
[1] grid stats graphics grDevices utils
[6] datasets methods base
other attached packages:
[1] mapproj_1.1-8.3 gpclib_1.5-1 maptools_0.8-14
[4] lattice_0.20-6 foreign_0.8-49 rgeos_0.2-5
[7] stringr_0.6 sp_0.9-99 gridExtra_0.9
[10] mapdata_2.2-1 ggplot2_0.9.0 maps_2.2-5
loaded via a namespace (and not attached):
[1] MASS_7.3-17 RColorBrewer_1.0-5 colorspace_1.1-1
[4] dichromat_1.2-4 digest_0.5.2 memoise_0.1
[7] munsell_0.3 plyr_1.7.1 proto_0.3-9.2
[10] reshape2_1.2.1 scales_0.2.0 tools_2.15.0
Fortify is likely to be deprecated. A new alternative is broom
(see documentation here). It is very simply to use:
# Load shapefile
FAO <- readOGR(dsn="fao", layer="World_Fao_Zones")
#Convert
FAO_df <- tidy(FAO)
Unfortunately, the file you uploaded is not there anymore, so I cannot demonstrate the command for your example.