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

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



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


An optional title for the map.


An optional name for the legend.


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.


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.


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


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.


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