Create an admin1-level choropleth for a specified country
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.
admin1_choropleth( country.name, df, title = "", legend = "", num_colors = 7, zoom = NULL, reference_map = FALSE )
country.name |
The name of the country. Must exactly match how the country is named in the "country" column of ?admin1.regions in the choroplethrAdmin1 package. |
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. |
## Not run: library(choroplethrAdmin1) data(df_japan_census) head(df_japan_census) # set the value we want to map to be the 2010 population estimates df_japan_census$value=df_japan_census$pop_2010 # default map of all of japan admin1_choropleth("japan", df_japan_census, "2010 Japan Population Estimates", "Population") # zoom in on the Kansai region and use a continuous scale kansai = c("mie", "nara", "wakayama", "kyoto", "osaka", "hyogo", "shiga") admin1_choropleth("japan", df_japan_census, "2010 Japan Population Estimates", "Population", 1, kansai) admin1_choropleth("japan", df_japan_census, "2010 Japan Population Estimates", "Population", 1, kansai, reference_map = TRUE) ## End(Not run)
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