Introduction to R for Spatial Analysis and Mapping

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

Format: Paperback / softback
Length: 336 pages
Publication date: 24 December 2018
Publisher: SAGE Publications Ltd

The authors, who have a long history of teaching R, take readers from 'zero to hero' and update the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web scraping, and more.

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.

Regardless of discipline, this is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers collecting and using data with location attached.

Weight: 642g
Dimension: 172 x 242 x 15 (mm)
ISBN-13: 9781526428509
Edition number: 2 Revised edition