Description from the US Census Bureau: "The Census Bureau includes landmarks such as military installations in the MAF/TIGER database for locating special features and to help enumerators during field operations. The Census Bureau adds landmark features to the database on an as-needed basis and does not attempt to ensure that all instances of a particular feature are included. For additional information about area landmarks, please see Section 3.12, Landmarks (Area and Point)."
military(year = NULL, ...)
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.
This file does not include the three point landmarks identified as military installation features in the MAF/TIGER database. These point landmarks are included in the point landmark shapefile. Although almost all military installations have assigned 8-character National Standard (GNIS) codes, the Census Bureau has not loaded most of this data into the MAF/TIGER database. The 2020 military shapefiles contain few values in the ANSICODE field.