https://github.com/JohnCoene/globe4r

🌎 Interactive globe visualisations
https://github.com/JohnCoene/globe4r

globe r rstats visualisation

Last synced: 3 days ago
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🌎 Interactive globe visualisations

• Host: GitHub
• URL: https://github.com/JohnCoene/globe4r
• Owner: JohnCoene
• License: other
• Created: 2019-08-29T22:43:07.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-01-20T16:08:08.000Z (almost 5 years ago)
• Last Synced: 2024-10-28T15:11:02.827Z (10 days ago)
• Topics: globe, r, rstats, visualisation
• Language: HTML
• Homepage: https://globe4r.john-coene.com
• Size: 8.32 MB
• Stars: 55
• Watchers: 5
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

• awesome-r-dataviz - globe4r - Interactive globe visualisations. (Spatial Visualization / Miscellaneous)

README

        
---

output: 

  github_document:

    html_preview: false

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

[![Travis build status](https://travis-ci.org/JohnCoene/globe4r.svg?branch=master)](https://travis-ci.org/JohnCoene/globe4r)

[![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)

[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/JohnCoene/globe4r?branch=master&svg=true)](https://ci.appveyor.com/project/JohnCoene/globe4r)

# globe4r

Interactive globes for R via [globe.gl](https://github.com/vasturiano/globe.gl).

Visit the [website](https://globe4r.john-coene.com) for more details.



1. bars

2. arcs

3. polygons

4. points

5. hex bin

Visit the website for the [full list of functions](https://globe4r.john-coene.com/reference/)

## Installation

You can install the globe4r from Github:

``` r

# install.packages("remotes")

remotes::install_github("JohnCoene/globe4r")

```

## Example

```r

library(globe4r)

data("population") # sample data

create_globe() %>% # initialise

  globe_bars(

    coords(lat, lon, altitude = value, color = value),

    data = population

  ) %>% 

  scale_bars_altitude() %>% 

  scale_bars_color()

```