plot_usmap with ggplot2The nice thing about usmap::plot_usmap is it returns a ggplot object object, which means we can add ggplot layers to the plot right out of the box.
library(ggplot2)
usmap::plot_usmap(regions = "counties") +
labs(title = "US Counties", subtitle = "This is a blank map of the counties of the United States.") +
theme(panel.background = element_rect(colour = "black", fill = "lightblue"))
library(ggplot2)
usmap::plot_usmap(include = c("CA", "ID", "NV", "OR", "WA")) +
labs(title = "Western US States", subtitle = "These are the states in the Pacific Timezone.")
The raw US map data for counties or states can be obtained for further manipulation (and joining with data).
str(usmap::us_map())
#> 'data.frame': 12963 obs. of 9 variables:
#> $ long : num 1091779 1091268 1091140 1090940 1090913 ...
#> $ lat : 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" ...str(usmap::us_map(regions = "counties"))
#> 'data.frame': 54508 obs. of 10 variables:
#> $ long : num 1225889 1244873 1244129 1272010 1276797 ...
#> $ lat : num -1275020 -1272331 -1267515 -1262889 -1295514 ...
#> $ 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 "01001.1" "01001.1" "01001.1" "01001.1" ...
#> $ fips : chr "01001" "01001" "01001" "01001" ...
#> $ abbr : chr "AL" "AL" "AL" "AL" ...
#> $ full : chr "Alabama" "Alabama" "Alabama" "Alabama" ...
#> $ county: chr "Autauga County" "Autauga County" "Autauga County" "Autauga County" ...You can also include only certain states and counties just like in plot_usmap. In fact, the regions and include parameters of plot_usmap are derived directly from their usage in us_map.