combined_statistical_areas | R Documentation |
Combined statistical areas are "two or more adjacent CBSAs that have significant employment interchanges." In turn, CSAs are composed of multiple metropolitan and/or micropolitan areas, and should not be compared with individual core-based statistical areas.
combined_statistical_areas(cb = FALSE, resolution = "500k", year = 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). |
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). |
year |
the data year; defaults to 2022 |
... |
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://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc.pdf
Other metro area functions:
core_based_statistical_areas()
,
metro_divisions()
,
new_england()
,
urban_areas()
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