From the US Census Bureau: "The area hydrography shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps, glaciers, and the area covered by large streams represented as double-line drainage."
area_water(state, county, year = NULL, ...)
The two-digit FIPS code of the state of the county you'd like to download the water features for. Can also be state name or abbreviation (case-insensitive).
The three-digit FIPS code of the county you'd like the water features for. Can also be a county name.
the data year; defaults to 2022
arguments to be passed to internal function load_tiger
, which is not exported. See 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.
https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc.pdf
Other water functions:
coastline()
,
linear_water()
if (FALSE) {
library(tigris)
dallas_water <- area_water("TX", "Dallas")
plot(dallas_water$geometry)
}
Run the code above in your browser using DataLab