An Introduction to R for Spatial Analysis and Mapping

By: Chris Brunsdon, Lex Comber

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eText | 10 December 2018 | Edition Number 2

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This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more.

Revised and updated, each chapter includes:

example data and commands to explore hands-on;
scripts and coding to exemplify specific functionality;
self-contained exercises for students to work through;
embedded code within the descriptive text.

The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers - regardless of discipline - collecting and using data with location attached.

Industry Reviews

The future of GIS is open-source! An Introduction to R for Spatial Analysis and Mapping is an ideal introduction to spatial data analysis and mapping using the powerful open-source language R. Assuming no prior knowledge, Brunsdon and Comber get the reader up to speed quickly with clear writing, excellent pedagogic material and a keen sense of geographic applications. The second edition is timely and fresh. An Introduction to R for Spatial Analysis and Mapping should be required reading for every Geography and GIS student, as well as faculty and professionals.