Unlike ?admin1_choropleth, the regions here can span multiple countries.

admin1_region_choropleth(df, title = "", legend = "", num_colors = 7,
  zoom = NULL, reference_map = FALSE)

Arguments

df

A data.frame with a column named "region" and a column named "value". Elements in the "region" column must exactly match how regions are named in the "region" column in ?admin1.regions in the choroplethrAdmin1 package

title

An optional title for the map.

legend

An optional name for the legend.

num_colors

The number of colors on the map. A value of 1 will use a continuous scale. A value in [2, 9] will use that many colors.

zoom

An optional vector of regions to zoom in on. Elements of this vector must exactly match the names of regions as they appear in the "region" column of ?admin1.regions.

reference_map

If true, render the choropleth over a reference map from Google Maps.

Details

The map used comes from ?admin1.map in the choroplethrAdmin1 package. See ?get_admin_countries and ?get_admin_regions in the choroplethrAdmin1 package for help with the spelling of regions.

Examples

library(choroplethrAdmin1) # map of continental us + southern canada data("continental_us_states") lower_canada = c("british columbia", "alberta", "saskatchewan", "manitoba", "ontario", "quebec") regions = c(lower_canada, continental_us_states) df = data.frame(region=regions, value=sample(1:length(regions))) admin1_region_choropleth(df)
#> Warning: Column `region` joining character vector and factor, coercing into character vector