Description Usage Arguments Note See Also Examples
Note that what is rendered are 2010 US Census VotingDistrict Code Tabulated Areas (ZCTAs), not USPS VotingDistrict Codes. The map used is zip.map in the choroplethrVotingDistrict package. See zip.regions for an object which can help you coerce your regions into the required format.
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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 ?zip.map. |
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. |
state_zoom |
An optional vector of State names to zoom in on. Elements of this vector must exactly match the names of the state names as they appear in the "state.name" column of ?zip.regions. |
county_zoom |
An optional vector of county FIPS codes to zoom in on. Elements of this vector must exactly match the names of zips as they appear in the "county.fips.numeric" column of ?zip.regions. |
msa_zoom |
An optional vector of MSA (Metroplitan/Micropolitan Statistical Area) names to zoom in on. Elements of this vector must exactly match the names of the state names as they appear in the "cbsa.title" column of ?zip.regions. |
zip_zoom |
An optional vector of zip codes to zoom in on. Elements of this vector must exactly match the names of zips as they appear in the "region" column of ?zip.regions. |
reference_map |
If true, render the choropleth over a reference map from Google Maps. |
Nationwide zip choropleths can take a few minutes to render. It is much faster to view a subset of the country by selecting a zoom.
https://www.census.gov/geo/reference/zctas.html for an explanation of ZCTAs and how they relate to US VotingDistrict Codes.
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library(choroplethrVotingDistrict)
data(df_pop_zip)
# zooming on a state
zip_choropleth(df_pop_zip,
state_zoom = "new york",
title = "2012 New York State ZCTA Population Estimates",
legend = "Population")
# adding a reference map
zip_choropleth(df_pop_zip,
state_zoom = "new york",
title = "2012 New York State ZCTA Population Estimates",
legend = "Population",
reference_map = TRUE)
# viewing on a set of counties
# note we use numeric county FIPS codes
nyc_fips = c(36005, 36047, 36061, 36081, 36085)
zip_choropleth(df_pop_zip,
county_zoom = nyc_fips,
title = "2012 New York City ZCTA Population Estimates",
legend = "Population")
# zooming in on a few ZIPs
manhattan_les = c("10002", "10003", "10009")
manhattan_ues = c("10021", "10028", "10044", "10128")
zip_choropleth(df_pop_zip,
zip_zoom = c(manhattan_les, manhattan_ues),
title = "2012 Lower and Upper East Side ZCTA Population Estimates",
legend = "Population")
# zooming in on an entire Metropolitan Statistical Area (MSA)
zip_choropleth(df_pop_zip,
msa_zoom = "New York-Newark-Jersey City, NY-NJ-PA",
title = "2012 NY-Newark-Jersey City MSA\nZCTA Population Estimates",
legend = "Population")
# showing the entire country
# note: this takes a few minutes to run
zip_choropleth(df_pop_zip,
title = "2012 US ZCTA Population Estimates",
legend = "Population")
## End(Not run)
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