admin1_choropleth: Create an admin1-level choropleth for a specified country

Description

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.

Usage

admin1_choropleth(country.name, df, title = "", legend = "",
  num_colors = 7, zoom = NULL, reference_map = FALSE)

Arguments

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.

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.

Examples

Run this code

# 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)
# }

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