urban_areas | R Documentation |
Urban areas include both "urbanized areas," which are densely developed areas with a population of at least 50,000, and "urban clusters," which have a population of greater than 2,500 but less than 50,000. For more information, please see the link provided.
urban_areas(cb = FALSE, year = NULL, criteria = NULL, ...)
cb |
If cb is set to TRUE, download a generalized (1:500k) cartographic boundary file. Defaults to FALSE (the most detailed TIGER/Line file). |
year |
the data year; defaults to 2022 |
criteria |
If set to "2020" and the year is 2020, will download the new 2020 urban areas criteria. Not available for cartographic boundary shapefiles / other years at the moment. |
... |
arguments to be passed to internal function |
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.
https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural.html
Other metro area functions:
combined_statistical_areas()
,
core_based_statistical_areas()
,
metro_divisions()
,
new_england()
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