An Introduction to R for Spatial Analysis and Mapping

Author:   Chris Brunsdon ,  Lex Comber
Publisher:   SAGE Publications Ltd
Edition:   2nd Revised edition
ISBN:  

9781526428509


Pages:   336
Publication Date:   24 December 2018
Format:   Paperback
Availability:   In Print   Availability explained
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An Introduction to R for Spatial Analysis and Mapping


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Overview

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.

Full Product Details

Author:   Chris Brunsdon ,  Lex Comber
Publisher:   SAGE Publications Ltd
Imprint:   SAGE Publications Ltd
Edition:   2nd Revised edition
Weight:   0.650kg
ISBN:  

9781526428509


ISBN 10:   1526428504
Pages:   336
Publication Date:   24 December 2018
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1 Introduction Chapter 2 Data and Plots Chapter 3 Handling Spatial Data Chapter 4 Programming in R Chapter 5 Using R as a GIS Chapter 6 Point Pattern Analysis Chapter 7 Spatial Attribute Analysis Chapter 8 Localised Spatial Analysis Chapter 9 R and Internet Data Chapter 10 Epilogue

Reviews

There's no better text for showing students and data analysts how to use R for spatial analysis, mapping and reproducible research. If you want to learn how to make sense of geographic data and would like the tools to do it, this is your guide. -- Richard Harris


Author Information

Chris Brunsdon is Professor of Geocomputation at the National University of Ireland, Maynooth. He studied Mathematics at the University of Durham and Medical Statistics at the University of Newcastle upon Tyne, and has worked in a number of universities, holding the Chair in Human Geography at Liverpool University before taking up his current position. His research interests are in health, crime and environmental data analysis, and in the development of spatial analytical tools, including Geographically Weighted Regression approach. He also has interests in the software tools used to develop such approaches, including R. Lex Comber is a Professor of Geographical Information Sciences at the University of Leicester. After studying for a BSc in Plant and Crop Sciences at Nottingham, he did his PhD at the Macaulay Land Use Research Institute (now the Hutton Institute) and the University of Aberdeen. His research covers all areas of spatial analyses and the application and development of quantitative geographical. These have been applied across topic areas that straddle both the social and environmental and include accessibility analyses, land cover / land use monitoring and handling uncertainty in geographic information and spatial data.

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