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WORK IN PROGRESS
This is a Flowmap.blue widget
for R. Create interactive flow maps using 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
As an alternative, you may also consider using R to populate a spreadsheet for publishing on Flowmap.blue as described in this excellent blog post.
From CRAN (when available):
# install.packages("flowmapblue")To install from GitHub you will need to install remotes
if you don’t have it yet:
if (!require("remotes")) install.packages("remotes")
remotes::install_github("FlowmapBlue/flowmapblue.R",
force = TRUE, dependencies = TRUE)Setup your Mapbox access token. You can obtain a free token by signing up at Mapbox.
Sys.setenv(MAPBOX_API_TOKEN = "YOUR_MAPBOX_ACCESS_TOKEN")# 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
flowmapHere is a nice intro blog post 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 https://flowmapblue.github.io/flowmapblue.R/.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.