Applied Spatial Analysis and Policy

, Volume 8, Issue 1, pp 85–87 | Cite as

Book Review: Advanced Spatial Data Analysis with R, R. Bivand, E. Pebesma and V. Gomez-Rubio, Second Edition, Springer, Softcover and eBook, 405 pages, 2013

  • Robin Lovelace

As a geographer and heavy R user, I was naturally excited to discover Applied Spatial Data Analysis with R (ASDAR). I purchased a copy of the first edition in the summer of 2012 at the European Region Science Association (ERSA) annual conference in Bratislava and was pleased to get my copy signed by the book’s lead author and influential R programmer Roger Bivand (who also manages R’s spatial ‘Task View’ and contributes to many R packages).

Two years later, I no longer feel like a beginner in the world of R for geographical applications and ASDAR was certainly of great assistance. Now in its second edition, the book has been substantially rewritten to account for rapid progress in R’s spatial capabilities. As an advanced user who teaches R for GIS applications and having read both versions of the book, I feel that I am well-placed to write this review.

The book’s tone and technical focus (it contains code, equations or images on most pages) suits well its intended audience: advanced or...


  1. Ince, D. C., Hatton, L., & Graham-Cumming, J. (2012). The case for open computer programs. Nature, 482(7386), 485–488.CrossRefGoogle Scholar
  2. Lovelace, R. and Cheshire, J. (2014). Introduction to visualising spatial data in R. National Centre for Research Methods Working Paper 08/14, 14(03). Retrieved from

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.School of GeographyUniversity of LeedsLeedsUK

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