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  • Book
  • Solutions
  • Translations
  • Presentations
  • Workshops
  • Vignettes
  • Other recommened books

R resources

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 (check your local bookstore).

Presentations

“GIS and mapping ecosystem of R”

Ecole thématique SIGR2021, Saint-Pierre-d’Oléron, 2021-06-29

  • slides

“Recent changes in R spatial and how to be ready for them”

Why R? Webinar, remotely, 2020-04-23

  • slides
  • video

“How to win friends and write an open-source book”

useR! 2019, Toulouse, France, 2019-07-12

  • slides

“Reproducible spatial data analysis: An example of transportation analysis for Bristol”

Collegium Da Vinci. Poznan, Poland, 2019-01-29

  • slides

“Geocomputation with R: Data science, open source software and geo* data”

Northwest Universities R Day. Manchester, UK, 2018-10-31

  • slides

“Spatial data and the tidyverse”

GEOSTAT2018. Prague, Czech Republic, 2018-08-22

  • slides

“Geocomputation with R: An overview of the field and introduction to the book”

GEOSTAT2018. Prague, Czech Republic, 2018-08-20

  • slides

“Introduction to geocomputation with R”

CinDay RUG. Mason, Ohio, 2018-05-22

  • slides

“Spatial data and the tidyverse”

Geocomputation 2017. Leeds, UK, 2017-09-04

  • slides

Workshops

“GIS and mapping ecosystem of R” and “Image processing and raster analysis with R”

Ecole thématique SIGR2021, Saint-Pierre-d’Oléron, 2021-06-29

  • All slides and additional information

Geocomputation with R –

European Geosciences Union. Vienna, Austria, 2019-04-10

Talk and practical workshop introducing packages for handling geographic data, based on chapters 2, 3 and 8 in the book

  • Introductory slides
  • Geographic vector data in R
  • Geographic raster data in R
  • Making maps with R: from static maps towards web applications

“Geocomputation with R” –

eRum 2018. Budapest, Hungary, 2018-05-14

Slides:

  1. Basics
  2. Vector
  3. Raster
  4. Viz
  5. rqgis

“GIS with R: how to start?”

GIS Learning Community. Cincinnati, Ohio, 2017-11-01

  • GitHub repo

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

Other recommened books

  • Elegant and informative maps with tmap from Martijn Tennekes and Jakub Nowosad
  • Spatial Data Science with applications in R from Edzer Pebesma and Roger Bivand; with solutions
geocompx, 2016 - 2023