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Full Description
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.
Contents
Chapter 1: Introduction and Getting Started
Chapter 2: Data and Plots
Chapter 3: Spatial Data Handling in R
Chapter 4: Scripting and Writing Functions in R
Chapter 5: Using R as a GIS
Chapter 6: Point Pattern Analysis Using R
Chapter 7: Spatial Attribute Analysis With R: Point Based Data
Chapter 8: Spatial Attribute Analysis With R: Area Based Data
Chapter 9: Localised Spatial Analysis
Chapter 10: Working with Data from the Internet
Epilogue: Spatial Analysis and R - Review and Prospect
