states: Outline of US states and equivalents

In heike/ggmapr: Manipulation of Maps

Description

Data from shapefiles provided by the Census Bureau<e2><80><99>s MAF/TIGER geographic database at https://www.census.gov/geo/maps-data/data/cbf/cbf_state.html. State outlines are based on the 1:20m resolution level. Internal points, divisions and regions are based on TIGER/Line Shapefiles for states and equivalents in the 2016 release.

Usage

states

inset

division

Format

both objects are data frames consisting of variables of length ~13k:

• long: geographic longitude

• lat: geographic latitude

• order: order of locations

• piece: positive integer value, one for each separate area/island of a state

• id: integer value uniquely identifying each state

• group: character value - composite of id and piece, uniquely identifying each part of each state

• STATEFP: FIPS state code

• STATENS: GNIS state code

• AFFGEOID: American FactFinder state code

• GEOID: GEOID state code

• STUSPS: US state code

• NAME: name of state or state equivalent

• ALAND: land area of the state/state equivalent in square meters

• AWATER: water area of the state/state equivalent in square meters

• REGION: integer of US region

• REGION.NAME: name of US region

• DIVISION: integer of US division

• DIVISION.NAME: name of US division

• INTPTLAT: latitude of interior point

• INTPTLON: longitude of interior point

Examples

states %>% ggplot(aes(x = long, y = lat)) +
  geom_path(aes(group = group)) +
  geom_point(data = states %>% map_unif(n = 1000), colour = "red", size = 0.25)

inset %>% ggplot(aes(x = long, y = lat)) +
  geom_path(aes(group = group)) +
  geom_point(data = inset %>% map_unif(n = 1000), colour = "red", size = 0.25)

division %>% ggplot(aes(x = long, y = lat)) +
  geom_path(aes(group = group)) +
  geom_point(data = division %>% map_unif(n = 1000), colour = "red", size = 0.25)

heike/ggmapr documentation built on May 17, 2019, 3:23 p.m.