Interactive Maps Using 'Mapbox GL JS' and 'Deck.gl'.

mapdeck

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What is mapdeck?

An R library which lets you plot large data sets (as much as your GPU & browser can handle), on interactive maps using Mapbox GL and Deck.gl

What is mapbox?

Mapbox is the location data platform for mobile and web applications. We provide building blocks to add location features like maps, search, and navigation into any experience you create.

• https://www.mapbox.com/about/company

What is deck.gl?

deck.gl is a WebGL-powered framework for visual exploratory data analysis of large datasets.

• https://deck.gl/#/

How do I use it?

First you need to install it, either from CRAN

install.packages("mapdeck")

Or from github (to get the latest development version)

remotes::install_github("SymbolixAU/mapdeck")

If the github version fails to install, you’ll probably need to update dependencies first

remotes::install_github("dcooley/geometries")
remotes::install_github("dcooley/sfheaders")
remotes::install_github("SymbolixAU/spatialwidget")

Then everything you need to know to get you started is on the home page

Quick Start

Mapdeck uses Mapbox maps, and to use Mapbox you need an access token.

Once you’ve generate a token you can use their maps.

Call mapdeck(token = 'your_token') to generate a basic map. Then start adding layers by using one of the various add_*() functions.

url <- 'https://raw.githubusercontent.com/plotly/datasets/master/2011_february_aa_flight_paths.csv'
flights <- read.csv(url)
flights$info <- paste0("<b>",flights$airport1, " - ", flights$airport2, "</b>")

mapdeck(token = key, style = mapdeck_style('dark')) %>%
  add_arc(
    data = flights
    , origin = c("start_lon", "start_lat")
    , destination = c("end_lon", "end_lat")
    , stroke_from = "airport1"
    , stroke_to = "airport2"
    , tooltip = "info"
    , layer_id = 'arclayer'
  )

See the Layers page for more examples

Getting help

For general help and advice the best place to ask is on StackOverflow (using the mapdeck tag).

If you’ve found a bug, or want a new feature added then use the issue tracker on github.

I don’t respond to emails asking for help because this is an open source package, and any advice should be kept open so everyone can benefit. (unless you want to pay me!)