From the US Census Bureau (see link for source, and more information): "All counties and statistically equivalent entities consist of one or more geographic units that the Bureau of the Census recognizes as county subdivisions. The two major types of county subdivisions are minor civil divisions(MCDs) and census county divisions (CCDs). A State has either MCDs or their statistical equivalents, or CCDs; it cannot contain both."
county_subdivisions(state, county = NULL, cb = FALSE, year = NULL, ...)The two-digit FIPS code (string) of the state you want. Can also be state name or state abbreviation.
The three-digit FIPS code (string) of the county you'd like to subset for, or a vector of FIPS codes if you desire multiple counties. Can also be a county name or vector of names.
If cb is set to TRUE, download a generalized (1:500k) file. Defaults to FALSE (the most detailed TIGER/Line file)
the data year (defaults to 2018).
arguments to be passed to the underlying `load_tiger` function, which is not exported.
Options include class, which can be set to "sp" (the default) or "sf" to
request sp or sf class objects, and refresh, which specifies whether or
not to re-download shapefiles (defaults to FALSE).
https://www2.census.gov/geo/pdfs/reference/GARM/Ch8GARM.pdf
Other general area functions:
block_groups(),
blocks(),
counties(),
places(),
pumas(),
school_districts(),
states(),
tracts(),
zctas()
# NOT RUN {
library(tigris)
or <- county_subdivisions('Oregon', c('Linn', 'Benton'))
plot(or)
# }
Run the code above in your browser using DataLab