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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 30 self-test questions. 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.
This is a digital product.
An Introduction to R for Spatial Analysis and Mapping 3rd Edition is written by Chris Brunsdon; Lex Comber and published by Sage Publications Ltd (UK). The Digital and eTextbook ISBNs for An Introduction to R for Spatial Analysis and Mapping are 9781036201869, 1036201864 and the print ISBNs are 9781529687514, 1529687519. Additional ISBNs for this eTextbook include 9781036204952, 9781036202897, 9781529687507.

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