choroplethr (version 1.7.0)

render_choropleth: Render a choropleth

Description

Given a data.frame which contains map data and value data, render it as a choropleth using ggplot2.

Usage

render_choropleth(choropleth.df, lod, title = "", scaleName = "",
  showLabels = TRUE, states = state.abb, renderAsInsets = TRUE)

Arguments

choropleth.df

A data.frame with a column named "region" and a column named "value". If lod is "state" then region must contain state names (e.g. "California" or "CA"). If lod is "county" then region must contain county FIPS codes. if lod is "zip" then region must co

lod

A string representing the level of detail of your data. Must be one of "state", "county" or "zip".

title

The title of the image. Defaults to "".

scaleName

The name of the scale/legend. Default to "".

showLabels

For State maps, whether or not to show labels of the states.

states

A vector of states to render. Defaults to state.abb.

renderAsInsets

If true, Alaska and Hawaii will be rendered as insets on the map. If false, all 50 states will be rendered on the same longitude and latitude map to scale. This variable is only checked when the "states" variable is equal to all 50 states. Defaults to st

Value

• A choropleth.

See Also

get_acs_df and bind_df_to_map

Examples

data(choroplethr)
library(Hmisc) # for cut2

# States with greater than 1M residents
df.map = bind_df_to_map(df_pop_state, "state")
df.map$value = cut2(df.map$value, cuts=c(0,1000000,Inf))
render_choropleth(df.map, "state", "States with a population over 1M", "Population")

# Counties with greater than or greater than 1M residents
df.map = bind_df_to_map(df_pop_county, "county")
df.map$value = cut2(df.map$value, cuts=c(0,1000000,Inf))
render_choropleth(df.map, "county", "Counties with a population over 1M", "Population")

# Zip Code Tabulated Areas with less than 1000 people
df_pop_zip = df_pop_zip[df_pop_zip$value < 1000, ]
df.map = bind_df_to_map(df_pop_zip, "zip")
render_choropleth(df.map, "zip", "ZCTAs with less than 1000 people in California", states="CA")