Skip to content
This repository has been archived by the owner. It is now read-only.

hrbrmstr/albersusa

master
Switch branches/tags
Code

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
R
Mar 4, 2020
Mar 4, 2020
man
Mar 3, 2020
Dec 9, 2019
Jan 31, 2019
Dec 9, 2019
Dec 9, 2019
Dec 9, 2019
Dec 9, 2019
Dec 9, 2019

Project Status: Active – The project has reached a stable, usable state and is being actively developed. Signed by Signed commit % Linux build Status Coverage Status Minimal R Version License

albersusa

Tools, Shapefiles & Data to Work with an ‘AlbersUSA’ Composite Projection

Description

Creating a composite projection for states and counties of the United States that includes scaled and shifted polygons for Alaska and Hawaii is time consuming and potentially error-prone. Functions and data sets are provided to make it easier to produce maps with a composite projection. Furthermore, named projections for common transormations are provided to further increase mapping productivity.

What’s Inside The Tin

The following functions are implemented:

  • counties_sf: Retrieve a U.S. county composite map, optionally with a projection, as a simplefeature
  • usa_sf: Retreive a U.S. state composite map, optionally with a projection, as a simplefeature

New ones:

  • points_elided: Shift points around Alaska and Hawaii to the elided area (by @rdinter)

Some legacy ones:

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

Pre-canned projection strings:

  • us_aeqd_proj: Oblique azimuthal equidistant convenience projection
  • us_eqdc_proj: Equidistant conic convenience projection
  • us_laea_proj: Albers equal-area conic convenience projection
  • us_lcc_proj: Lambert conformal conic convenience projection
  • us_longlat_proj: Generic long/lat convenience projection

The following data sets are included:

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

Also, the simplefeatures columns and @data slot of each SpatialPolygonsDataFrame has some handy data you can use (like FIPS codes and state/county population information).

Installation

remotes::install_git("https://git.rud.is/hrbrmstr/albersusa.git")
# or
remotes::install_git("https://git.sr.ht/~hrbrmstr/albersusa")
# or
remotes::install_gitlab("hrbrmstr/albersusa")
# or
remotes::install_bitbucket("hrbrmstr/albersusa")
# or
remotes::install_github("hrbrmstr/albersusa")

NOTE: To use the ‘remotes’ install options you will need to have the {remotes} package installed.

Usage

library(albersusa)
library(sf)
library(sp)
library(rgeos)
library(maptools)
library(ggplot2)
library(ggalt)
library(ggthemes)
library(viridis)
library(scales)

# current version
packageVersion("albersusa")
## [1] '0.4.0'

Simple features base

par(mar=c(0,0,1,0))

us_sf <- usa_sf("laea")
plot(us_sf["pop_2012"])

cty_sf <- counties_sf("aeqd")
plot(cty_sf["census_area"])

ggplot2

ggplot() +
  geom_sf(data = us_sf, size = 0.125)

ggplot() +
  geom_sf(data = us_sf, size = 0.125) +
  coord_sf(crs = us_longlat_proj)

ggplot() +
  geom_sf(data = cty_sf, size = 0.0725)

ggplot() +
  geom_sf(data = cty_sf, size = 0.0725) +
  coord_sf(crs = us_longlat_proj)

albersusa Metrics

Lang # Files (%) LoC (%) Blank lines (%) # Lines (%)
R 9 0.9 106 0.77 66 0.67 277 0.86
Rmd 1 0.1 31 0.23 32 0.33 46 0.14

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

About

Tools, shapefiles & data to work with an "AlbersUSA" composite projection in R

Topics

Resources

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages