Retrieve US map data

Retrieve US map data

Usage

us_map(
  regions = c("states", "state", "counties", "county"),
  include = c(),
  exclude = c()
)

Arguments

regions

The region breakdown for the map, can be one of ("states", "state", "counties", "county"). The default is "states".

include

The regions to include in the resulting map. If regions is "states"/"state", the value can be either a state name, abbreviation or FIPS code. For counties, the FIPS must be provided as there can be multiple counties with the same name. If states are provided in the county map, only counties in the included states will be returned.

exclude

The regions to exclude in the resulting map. If regions is "states"/"state", the value can be either a state name, abbreviation or FIPS code. For counties, the FIPS must be provided as there can be multiple counties with the same name. The regions listed in the include parameter are applied first and the exclude regions are then removed from the resulting map. Any excluded regions not present in the included regions will be ignored.

Value

A data frame of US map coordinates divided by the desired regions.

See also

usmapdata::us_map() of which this function is a wrapper for.

Examples

str(us_map())
#> 'data.frame':	13663 obs. of  9 variables:
#>  $ x    : num  1091779 1091268 1091140 1090940 1090913 ...
#>  $ y    : num  -1380695 -1376372 -1362998 -1343517 -1341006 ...
#>  $ order: int  1 2 3 4 5 6 7 8 9 10 ...
#>  $ hole : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
#>  $ piece: int  1 1 1 1 1 1 1 1 1 1 ...
#>  $ group: chr  "01.1" "01.1" "01.1" "01.1" ...
#>  $ fips : chr  "01" "01" "01" "01" ...
#>  $ abbr : chr  "AL" "AL" "AL" "AL" ...
#>  $ full : chr  "Alabama" "Alabama" "Alabama" "Alabama" ...

df <- us_map(regions = "counties")
west_coast <- us_map(include = c("CA", "OR", "WA"))

south_atl_excl_FL <- us_map(include = .south_atlantic, exclude = "FL")