'ggplot2' Faceting Utilities for Geographical Data

Provides geofaceting functionality for 'ggplot2'. Geofaceting arranges a sequence of plots of data for different geographical entities into a grid that preserves some of the geographical orientation.


Build Status Coverage Status CRAN CRAN Downloads

This R package provides geofaceting functionality for ggplot2. Geofaceting arranges a sequence of plots of data for different geographical entities into a grid that strives to preserve some of the original geographical orientation of the entities. It's easiest to describe with examples. See below.

Install

install.packages("geofacet")
# or from github:
# devtools::install_github("hafen/geofacet")

Example

See here for the package vignette.

Barchart of state rankings in various categories:

library(ggplot2)
 
ggplot(state_ranks, aes(variable, rank, fill = variable)) +
  geom_col() +
  coord_flip() +
  facet_geo(~ state) +
  theme_bw()

us_categories

Unemployment rate time series for each state:

ggplot(state_unemp, aes(year, rate)) +
  geom_line() +
  facet_geo(~ state, grid = "us_state_grid2") +
  scale_x_continuous(labels = function(x) paste0("'", substr(x, 3, 4))) +
  ylab("Unemployment Rate (%)")

us_unemp

GDP per capita in relation to EU index (100) for each country in the European Union:

ggplot(eu_gdp, aes(year, gdp_pc)) +
  geom_line(color = "steelblue") +
  facet_geo(~ name, grid = "eu_grid1", scales = "free_y") +
  scale_x_continuous(labels = function(x) paste0("'", substr(x, 3, 4))) +
  ylab("GDP Per Capita in Relation to EU Index (100)") +
  theme_bw()

eu_gdp

News

Version 0.1.5

  • 17 new grids
  • Fix vignette redirect

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("geofacet")

0.1.5 by Ryan Hafen, 7 months ago


Browse source code at https://github.com/cran/geofacet


Authors: Ryan Hafen [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ggplot2, gtable, graphics

Suggests testthat, covr, lintr, knitr, rmarkdown, packagedocs


See at CRAN