admin1_region_choropleth: Create a map of Administrative Level 1 regions

In choroplethr: Simplify the Creation of Choropleth Maps in R

Create a map of Administrative Level 1 regions

Description

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

Usage

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

## Not run: 

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) 


## End(Not run)

choroplethr documentation built on May 29, 2024, 1:20 a.m.