A list with 8 data frames of swiss territory boundaries, at various levels.
Source:R/ggswissmaps_data.R
shp_df.Rd
Every element of the list is a data frame, which can be used with 'ggplot2'.
Source
https://data.geo.admin.ch/browser/index.html#/collections/ch.bfs.historisierte-administrative_grenzen_g1?.language=en. Download date: 2015-08-18
Details
Columns are not all the same across data frames, but usually they have the following in common:
long. Longitude coordinate (x)
lat. Latitude coordinate (y)
group. A factor to be used to plot the polygons correctly (with ggplot2)
Examples
data(shp_df)
class(shp_df)
#> [1] "list"
length(shp_df)
#> [1] 8
names(shp_df)
#> [1] "g1b15" "g1g15_encl" "g1g15_li" "g1g15" "g1k15"
#> [6] "g1l15" "g1r15" "g1s15"
str(shp_df[["g1k15"]])
#> 'data.frame': 9216 obs. of 20 variables:
#> $ long : int 692429 692993 693163 693048 693243 693606 693763 693872 694800 695433 ...
#> $ lat : int 281173 280860 280421 280201 279410 278826 278851 278450 278137 277578 ...
#> $ order : int 1 2 3 4 5 6 7 8 9 10 ...
#> $ hole : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
#> $ piece : Factor w/ 6 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
#> $ group : Factor w/ 56 levels "0.1","1.1","1.2",..: 1 1 1 1 1 1 1 1 1 1 ...
#> $ id : chr "0" "0" "0" "0" ...
#> $ KTNR : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ GRNR : int 4 4 4 4 4 4 4 4 4 4 ...
#> $ AREA_HA: int 172895 172895 172895 172895 172895 172895 172895 172895 172895 172895 ...
#> $ X_MIN : int 669244 669244 669244 669244 669244 669244 669244 669244 669244 669244 ...
#> $ X_MAX : int 716900 716900 716900 716900 716900 716900 716900 716900 716900 716900 ...
#> $ Y_MIN : int 223896 223896 223896 223896 223896 223896 223896 223896 223896 223896 ...
#> $ Y_MAX : int 283343 283343 283343 283343 283343 283343 283343 283343 283343 283343 ...
#> $ X_CNTR : int 691800 691800 691800 691800 691800 691800 691800 691800 691800 691800 ...
#> $ Y_CNTR : int 252000 252000 252000 252000 252000 252000 252000 252000 252000 252000 ...
#> $ Z_MIN : int 331 331 331 331 331 331 331 331 331 331 ...
#> $ Z_MAX : int 1290 1290 1290 1290 1290 1290 1290 1290 1290 1290 ...
#> $ Z_AVG : int 533 533 533 533 533 533 533 533 533 533 ...
#> $ Z_MED : int 504 504 504 504 504 504 504 504 504 504 ...