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https://hafen.github.io/geofacet/

R package for geographical faceting with ggplot2
https://hafen.github.io/geofacet/

geography ggplot2 r visualization

Last synced: 3 months ago
JSON representation

R package for geographical faceting with ggplot2

Host: GitHub
URL: https://hafen.github.io/geofacet/
Owner: hafen
License: other
Created: 2017-05-20T19:35:05.000Z (about 7 years ago)
Default Branch: master
Last Pushed: 2024-01-09T22:47:38.000Z (6 months ago)
Last Synced: 2024-01-30T05:08:31.786Z (5 months ago)
Topics: geography, ggplot2, r, visualization
Language: R
Homepage: https://hafen.github.io/geofacet/
Size: 7.38 MB
Stars: 330
Watchers: 15
Forks: 41
Open Issues: 167
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

awesome-ggplot2 - geofacet
awesome-r-dataviz - geofacet - R package for geographical faceting with ggplot2. (Spatial Visualization / Miscellaneous)
awesome-ggplot2?tab=readme-ov-file - geofacet

README

        [![R-CMD-check](https://github.com/hafen/geofacet/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/hafen/geofacet/actions/workflows/R-CMD-check.yaml)

[![Codecov test coverage](https://codecov.io/gh/hafen/geofacet/branch/master/graph/badge.svg)](https://app.codecov.io/gh/hafen/geofacet?branch=master)

[![CRAN](http://www.r-pkg.org/badges/version/geofacet)](https://CRAN.R-project.org/package=geofacet)

[![CRAN Downloads](http://cranlogs.r-pkg.org/badges/geofacet)](https://CRAN.R-project.org/package=geofacet)

# geofacet 

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

```r

install.packages("geofacet")

# or from github:

# remotes::install_github("hafen/geofacet")

```

## Example

See [here](https://hafen.github.io/geofacet/) for the package vignette.

Barchart of state rankings in various categories:

```r

library(ggplot2)

ggplot(state_ranks, aes(variable, rank, fill = variable)) +

  geom_col() +

  coord_flip() +

  facet_geo(~ state) +

  theme_bw()

```

![us_categories](https://cloud.githubusercontent.com/assets/1275592/26282369/611ab89e-3dc5-11e7-86eb-65685cc2948b.png)

Unemployment rate time series for each state:

```r

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](https://cloud.githubusercontent.com/assets/1275592/26282368/6118d06a-3dc5-11e7-96b4-6a511800b6d3.png)

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

```r

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](https://cloud.githubusercontent.com/assets/1275592/26342901/ba4e83a2-3f4e-11e7-9a1f-9cec09e31682.png)