counties_composite: Retrieve a U.S. county composite map, optionally with a...

In hrbrmstr/albersusa: Tools, Shapefiles & Data to Work with an 'AlbersUSA' Composite Projection

Description

The proj parameter is intende to simplify usage for those using base plotting. If anything but longlat is specified the composite map will be pre-projected to those

Usage

counties_composite(proj = c("longlat", "laea", "lcc", "eqdc", "aeqd"))

Arguments

proj	if anything but longlat is specified, the shapefile will be pre-projected before being returned

Details

This is what's in the SPDF @data slot:

Observations: 3,143
Variables: 9
$ fips        (chr) "01001", "01009", "01017", "01021", "01033", "01045", "01051",...
$ state_fips  (chr) "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "0...
$ county_fips (chr) "001", "009", "017", "021", "033", "045", "051", "065", "079",...
$ name        (chr) "Autauga", "Blount", "Chambers", "Chilton", "Colbert", "Dale",...
$ lsad        (chr) "County", "County", "County", "County", "County", "County", "C...
$ census_area (dbl) 594.436, 644.776, 596.531, 692.854, 592.619, 561.150, 618.485,...
$ state       (chr) "Alabama", "Alabama", "Alabama", "Alabama", "Alabama", "Alabam...
$ iso_3166_2  (chr) "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "AL", "A...
$ population  (dbl) 54590, 57466, 34228, 43611, 54451, 50129, 79330, 15750, 34148,...

A reference GeoJSON file isprovided in the following location (i.e. you can use it in any mapping program):

system.file("extdata/composite_us_counties.geojson.gz", package="albersusa")

Examples

library(sp)

plot(counties_composite())
plot(counties_composite("laea"))

hrbrmstr/albersusa documentation built on March 16, 2020, 1:19 a.m.