An introduction to R for spatial analysis and mapping /
The ever-expanding availability of spatial data continues to revolutionise research. This book is your go-to guide to getting the most out of handling, mapping and analysing location-based data. Without assuming prior knowledge of GIS, geocomputation or R, this book helps you understand spatial anal...
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London ; Thousand Oaks, California :
SAGE Publications,
[2025].
|
| Edition: | Third edition. |
| Subjects: |
| Summary: | The ever-expanding availability of spatial data continues to revolutionise research. This book is your go-to guide to getting the most out of handling, mapping and analysing location-based data. Without assuming prior knowledge of GIS, geocomputation or R, this book helps you understand spatial analysis and mapping and develop your programming skills, from learning about scripting and writing functions to point pattern analysis and spatial attribute analysis. The book illustrates approaches to analysis on a range of datasets that are new to this edition, enables you to put your skills into practice with embedded exercises and over thirty self-test questions and showcases the possibilities of using spatial analysis to explore spatial inequalities. Whether you’re an R novice or experienced user, this book equips upper undergraduates, postgraduates and researchers with the tools needed for spatial data handling and rich analysis. |
|---|---|
| Item Description: | Previous edition: 2019. |
| Physical Description: | vii, 385 pages : illustrations (some color), color maps ; 26 cm. |
| Bibliography: | Includes bibliographical references (pages 423-460) and index. |
| ISBN: | 9781529687514 1529687519 9781529687507 1529687500 |