tigris (version 0.3)

congressional_districts: Download a congressional districts shapefile for the 114th Congress into R

Description

Description from the US Census Bureau (see link for source): The 2015 TIGER/Line Shapefiles contain the 114th Congressional Districts. All congressional districts appearing in the 2015 TIGER/Line Shapefiles reflect the information provided to the Census Bureau by the states by May 1, 2014. The 114th Congressional District shapefile contains the areas in effect January 2015 to 2017.

Usage

congressional_districts(cb = FALSE, resolution = "500k", detailed = TRUE,
  ...)

Arguments

cb

If cb is set to TRUE, download a generalized (1:500k) cartographic boundary file. Defaults to FALSE (the most detailed TIGER/Line file).

resolution

The resolution of the cartographic boundary file (if cb == TRUE). Defaults to '500k'; options include '5m' (1:5 million) and '20m' (1:20 million).

detailed

(deprecated) Setting detailed to FALSE returns a 1:500k cartographic boundary file. This parameter will be removed in a future release.

...

arguments to be passed to the underlying `load_tiger` function, which is not exported. Options include refresh, which specifies whether or not to re-download shapefiles (defaults to FALSE), and year, the year for w

Details

Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives and the five areas with nonvoting delegates from state equivalents. After the apportionment of congressional seats among the states based on decennial census population counts, each state is responsible for establishing the boundaries of the congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable.

See Also

http://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2015/TGRSHP2015_TechDoc.pdf Other legislative district functions: state_legislative_districts; voting_districts

Examples

library(tigris)
library(leaflet)

cd114 <- congressional_districts(cb = TRUE, resolution = '20m')

leaflet(cd114) %>%
   addTiles() %>%
   addPolygons()