divisions: Download a US Census divisions cartographic boundary...

View source: R/national.R

divisionsR Documentation

Download a US Census divisions cartographic boundary shapefile into R

Description

Download a US Census divisions cartographic boundary shapefile into R

Usage

divisions(resolution = "500k", year = NULL, ...)

Arguments

resolution

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

year

the data year; defaults to 2021

...

arguments to be passed to internal function load_tiger, which is not exported. See Additional Arguments.

Additional Arguments

Additional arguments that can be passed in ... are:

  • class Desired class of return object: "sf" (the default) or "sp". sp classes should be considered deprecated as of tigris version 2.0, but legacy support is still available.

  • progress_bar If set to FALSE, do not display download progress bar (helpful for R Markdown documents). Defaults to TRUE.

  • keep_zipped_shapefile If set to TRUE, do not delete zipped shapefile (stored in temporary directory or TIGRIS_CACHE_DIR depending on the configuration of global option "tigris_use_cache"). Defaults to FALSE.

  • refresh Whether to re-download cached shapefiles (TRUE or FALSE) . The default is either FALSE or the value of global option "tigris_refresh" if it is set. Specifying this argument will override the behavior set in "tigris_refresh" global option.

  • filter_by Geometry used to filter the output returned by the function. Can be an sf object, an object of class bbox, or a length-4 vector of format c(xmin, ymin, xmax, ymax) that can be converted to a bbox. Geometries that intersect the input to filter_by will be returned.

See Also

Other national cartographic boundary functions: nation(), regions()

Examples

## Not run: 
library(tigris)
library(leaflet)

divs <- divisions(resolution = '20m')

leaflet(divs) %>%
   addTiles() %>%
   addPolygons()

## End(Not run)

tigris documentation built on Sept. 22, 2023, 5:13 p.m.