https://github.com/FlowmapBlue/flowmapblue.R

Flowmap.blue widget for R
https://github.com/FlowmapBlue/flowmapblue.R

datavis mobility mobility-data movement-data rstats rstudio

Last synced: 3 months ago
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Flowmap.blue widget for R

• Host: GitHub
• URL: https://github.com/FlowmapBlue/flowmapblue.R
• Owner: FlowmapBlue
• License: other
• Created: 2020-06-29T12:10:04.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-09-07T19:55:06.000Z (5 months ago)
• Last Synced: 2024-09-08T19:40:06.672Z (5 months ago)
• Topics: datavis, mobility, mobility-data, movement-data, rstats, rstudio
• Language: R
• Homepage: https://flowmapblue.github.io/flowmapblue.R/
• Size: 7.22 MB
• Stars: 52
• Watchers: 10
• Forks: 9
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• jimsghstars - FlowmapBlue/flowmapblue.R - Flowmap.blue widget for R (R)

README

        


# Flowmap.blue R widget 





 



[![DOI](https://zenodo.org/badge/DOI/10.32614/CRAN.package.flowmapblue.svg)](https://doi.org/10.32614/CRAN.package.flowmapblue)

WORK IN PROGRESS

This is a [Flowmap.blue](https://www.flowmap.blue/) widget for R. Create

interactive flow maps using

[`FlowmapBlue`](https://github.com/FlowmapBlue/FlowmapBlue) TypeScript

library, which is a free tool for representing aggregated numbers of

movements between geographic locations as flow maps. It is used to

visualize urban mobility, commuting behavior, bus, subway and air

travels, bicycle sharing, human and bird migration, refugee flows,

freight transportation, trade, supply chains, scientific collaboration,

epidemiological and historical data and many other topics. The package

allows to either create standalone flow maps in form of ‘htmlwidgets’

and save them in ‘HTML’ files, or integrate flow maps into ‘Shiny’

applications.

You might also consider using this pure R flowmapping library based on

`ggplot2`: https://github.com/JohMast/flowmapper

![](man/figures/demo.png)

As an alternative, you may also consider using R to populate a

spreadsheet for publishing on [Flowmap.blue](https://www.flowmap.blue/)

as described in this [excellent blog

post](https://doodles.mountainmath.ca/blog/2020/01/06/flow-maps/).

### Installation

Install from CRAN:

``` r

install.packages("flowmapblue")

```

To install the development version from GitHub you will need to install

`remotes` if you don’t have it yet:

``` r

if (!require("remotes")) install.packages("remotes")

remotes::install_github("FlowmapBlue/flowmapblue.R",

  force = TRUE, dependencies = TRUE)

```

### Quick example

Setup your Mapbox access token. You can obtain a free token by signing

up at [Mapbox](https://account.mapbox.com/).

``` r

Sys.setenv(MAPBOX_API_TOKEN = "YOUR_MAPBOX_ACCESS_TOKEN")

```

``` r

library(flowmapblue)

# load locations and flows for Switzerland

data(ch_locations)

data(ch_flows)

flowmap <- flowmapblue(

 ch_locations,

 ch_flows,

 mapboxAccessToken = Sys.getenv('MAPBOX_API_TOKEN'),

 clustering = TRUE,

 darkMode = TRUE,

 animation = FALSE

)

# view the map

flowmap

```

Here is a [nice intro blog

post](https://www.paulamoraga.com/blog/2020-07-11-mobility.html) by

Paula Moraga.

For more examples with time and date in flows data, as well as

integration with Shiny, see the Quick Start vignette and documentation

for the package functions at

.