Conveniently plot basic US map
Conveniently plot basic US map
plot_usmap( regions = c("states", "state", "counties", "county"), include = c(), exclude = c(), data = data.frame(), values = "values", theme = theme_map(), labels = FALSE, label_color = "black", ... )
regions |
The region breakdown for the map, can be one of
( |
include |
The regions to include in the resulting map. If |
exclude |
The regions to exclude in the resulting map. If |
data |
A data frame containing values to plot on the map. This
parameter should be a data frame consisting of two columns,
a fips code (2 characters for state, 5 characters for county)
and the value that should be associated with that region. The
columns of |
values |
The name of the column that contains the values to be associated
with a given region. The default is |
theme |
The theme that should be used for plotting the map. The default
is |
labels |
Whether or not to display labels on the map. Labels are not displayed by default. For now, labels only work for state maps. County labels may be added in the future. |
label_color |
The color of the labels to display. Corresponds to the |
... |
Other arguments to pass to |
A ggplot
object that contains a basic
US map with the described parameters. Since the result is a ggplot
object, it can be extended with more geom
layers, scales, labels,
themes, etc.
plot_usmap() plot_usmap(regions = "states") plot_usmap(regions = "counties") plot_usmap(regions = "state") plot_usmap(regions = "county") # Output is ggplot object so it can be extended # with any number of ggplot layers library(ggplot2) plot_usmap(include = c("CA", "NV", "ID", "OR", "WA")) + labs(title = "Western States") # Color maps with data plot_usmap(data = statepop, values = "pop_2015") # Include labels on map (e.g. state abbreviations) plot_usmap(data = statepop, values = "pop_2015", labels = TRUE) # Choose color for labels plot_usmap(data = statepop, values = "pop_2015", labels = TRUE, label_color = "white")
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