geocompx
  • Posts
  • R resources
  • Python resources
  • Julia resources
  • Guestbook
  • About us
  • Support this project

On this page

  • The Geocomputation with R book
    • Solutions
    • Translations
    • Vignettes
  • The tmap book
  • Other recommended books

R resources

The Geocomputation with R book

Geocomputation with R (geocompr) is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. The online version of the book is hosted at r.geocompx.org/.

You can buy it from:

  • Routledge.com
  • Amazon.com
  • Amazon.co.uk

Solutions

You can find all the solutions to the book’s exercises at r.geocompx.org/solutions.

Translations

The Geocomputation with R book has a few community translations:

  • Geocomputación con R (in Spanish). Translation lead: Mireia Camacho
  • Geocomputation avec R (in French). Translation lead: Olivier Leroy
  • Geocomputation with R (in Japanese). Translation lead: Yoshihiko Baba

Additionally, the first edition of the book has been officially translated into Japanese and Korean, and the second edition of the book has been officially translated into Chinese (check your local bookstore).

Vignettes

These vignettes provide extended examples for several methods and functions mentioned in Geocomputation with R

  • Spatial Joins Extended
  • Making inset maps of the USA
  • Algorithms Extended
  • Point Pattern analysis, spatial interpolation and heatmaps
  • Desire Lines Extended
  • Spatial data and the tidyverse: pitfalls to avoid

The tmap book

Elegant and informative maps with tmap

Other recommended books

  • Spatial Data Science with applications in R from Edzer Pebesma and Roger Bivand; with solutions

geocompx, 2016 - 2025