tiger_counties_sf {RcensusPkg} | R Documentation |
tiger_counties_sf
Description
This function performs three tasks:
Download to an output directory a zip file from the TIGER/Line Shapefiles database.
Unzip the zip file and locate the shape file of interest.
Read and convert the shape file to a simple feature object.
Usage
tiger_counties_sf(
output_dir = tempdir(),
delete_files = TRUE,
vintage = 2020,
general = FALSE,
resol = "500k",
set_crs = NULL,
transform_crs = NULL,
sf_info = FALSE,
do_progress = FALSE,
shapefile = NULL,
datafile = NULL,
datafile_key = NULL,
sf_key = "COUNTYFP",
express = NULL,
check_na = FALSE
)
Arguments
output_dir |
A full directory path where the shapefile and its associated files will be downloaded.
The default is the directory defined by the value returned by |
delete_files |
A logical which if |
vintage |
A numeric that sets the vintage of interest. The default is 2020. |
general |
A logical which if |
resol |
If 'general' is |
set_crs |
A numeric or character string which if non-NULL calls sf::st_crs() to set the crs of the geometries and transforms them. |
transform_crs |
A numeric or character string which if non-NULL calls |
sf_info |
A logical which if |
do_progress |
A logical which if |
shapefile |
A full file path to a shapefile folder with its unzipped files to be processed instead of downloading. |
datafile |
A dataframe containing data that should be joined with this function's resultant simple feature object. |
datafile_key |
The column name from 'datafile' dataframe used to key with the 'sf_key' column of the resultant simple feature dataframe. |
sf_key |
The column from the resultant dataframe used to key with the 'datafile' dataframe. |
express |
A logical expression object used to filter the resultant simple feature dataframe. For example, one of the columns of the resultant simple feature dataframe is "STATEFP". If you wanted to return just the geometries for Florida (which has a fips code of "12"), then you assign 'express' equal to: expression(STATEFP == "12"). The expression will be evaluated and only the geometries for Florida will be returned. |
check_na |
A logical which if |
Details
Returns simple feature (sf) of the entire US county boundary related geometric polygons, provided by the US Census Bureau's TIGER/Line Shapefiles database. See Simple Features for R for more information on simple features. Along with the geometries, additional county related variables are provided. See Appendix I-3. Record Layout: County Subdivision State-based Shapefile) for a description of county related variables of the sf file. For further information on the Census Bureau's shape files see About the 2021 TIGER/Line Shapefiles. From Chapter 4.7 Counties and Equivalent Enties – "Counties and equivalent entities are primary legal divisions of states. In most states, these entities are termed 'counties.'"
A more generalized, recognizable version of the county geometries that has less download size is also available. For more information on cartographic boundary files see Cartographic Boundary File Description. These files are available for vintages greater than 2013 with resolution 1:500k, 1:5m, 1:20m meters.
Some earlier vintages may have NA for the crs so you may need to specify the 'crs_transform' to 3426. Also you may be interested in using a state level crs. See epsg.io to search worldwide for crs.
The function returns the simple feature object which can easily be mapped (see RplotterPkg::create_sf_plot()) or joined with US Census Bureau demographic data via the GEOID value.
Value
An object of class sf
Examples
library(downloader)
library(sf)
library(data.table)
library(usmap)
library(withr)
library(RcensusPkg)
# Get the geometries for Ohio counties
# Determine the fips code for Ohio (returns "39")
ohio_fips <- usmap::fips(state = "ohio")
# Create an expression to filter out just Ohio counties
# from the simple feature dataframe
express <- parse(text = paste0("STATEFP == ", '"', ohio_fips, '"'))
# Define a temporary output folder for the downloaded shapefiles
output_dir <- withr::local_tempdir()
if(!dir.exists(output_dir)){
dir.create(output_dir)
}
# Get the Ohio county's generalized geometries
ohio_counties_sf <- RcensusPkg::tiger_counties_sf(
general = TRUE,
express = express,
output_dir = output_dir,
delete_files = FALSE
)