tmap is an actively maintained open-source R-library for drawing thematic maps. The API is based on A Layered Grammar of Graphics and resembles the syntax of ggplot2, a popular R-library for drawing charts.

See below the source code for these images.

tmap is available on . Installation is straightforward:

install.packages("tmap")

For Linux and macOS users who are new to working with spatial data in R, this may fail since additional (non-R) libraries are required (which are automatically installed for Windows users).

Windows No additional installation required.

Linux (Ubuntu) See https://r-spatial.github.io/sf/#linux

macOS See https://r-spatial.github.io/sf/#macos

We are working on a major update (version4). The development of the current CRAN release (3.3) has been stopped, but if there are critical bugs, let us know. Version 4 will be submitted to CRAN this year, when it is mature enough and when it is backwards compatible with version 3.

Are you curious about version 4? You can install the development version as follows:

library(remotes)
install_github("r-tmap/tmap@v4")

Any feedback, requests, tips, or bug reports are welcome!

library(tmap)

Tennekes, M., Nowosad, J., Elegant and informative maps with tmap. Draft version, https://r-tmap.github.io/

Tennekes, M., 2018, tmap: Thematic Maps in R, Journal of Statistical Software, 84(6), 1-39

This paper has been written for tmap 1.11-2. See the reproducible code using tmap 2.x and 3.x. When version 4 is published on CRAN, we will publish the book, which will then be the official reference for tmap.

tmap: get started!

tmap: what is changed in recent versions?

tmap v4: a sneak peak

tmap in RMarkdown

• Creating thematic maps in R (OpenGeoHUB Summer School 2019)
• Plotting spatial data with R (eRum 2018)
• Exploring and presenting maps with tmap (useR!2017)
• tmap: creating thematic maps in a flexible way (useR!2015)]

• Geocomputation with R; Making maps with R, Robin Lovelace, Jakub Nowosad, Jannes Muenchow
• R tip: Create maps in R
• Working with Spatial Data and using tmap, Samantha A. Alger
• Computer World: Mapping in R just got a whole lot easier
• National Socio-Environmental Synthesis Center: Maps in R
• Introduction to visualising spatial data in R
• Blog post StatialControl
• Blog post TWIAV
• Computer World: Create maps in R in 10 (fairly) easy steps
• Computer World: Great R packages for data import, wrangling and visualization
• Tutorial Visualising spatial data: from base to shiny - workshop
• Stack Overflow questions (#tmap)

There are two main places to get help with tmap:

1. stackoverflow is a great source of answers to common tmap questions. It is also a great place to get help, once you have created a reproducible example that illustrates your problem. Please tag your questions with tmap.
2. If you have a request or if think your problem is caused by a bug, please open an issue, preferably with a reproducible example.