An Introduction to R for Spatial Analysis and Mapping
eBook - PDF

An Introduction to R for Spatial Analysis and Mapping

  1. 336 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

An Introduction to R for Spatial Analysis and Mapping

About this book

This is a new edition of the accessibleand student-friendly ?how to? for anyone using R for the first time, for use inspatial 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 editionincludes 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.

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Yes, you can access An Introduction to R for Spatial Analysis and Mapping by Chris Brunsdon,Lex Comber in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. R FOR SPATIAL ANALYSIS & MAPPING - FRONT COVER
  2. R FOR SPATIAL ANALYSIS & MAPPING
  3. COPYRIGHT
  4. CONTENTS
  5. ABOUT THE AUTHORS
  6. CHAPTER 1 - INTRODUCTION
  7. CHAPTER 2 - DATA AND PLOTS
  8. CHAPTER 3 - BASICS OF HANDLING SPATIAL DATA IN R
  9. CHAPTER 4 - SCRIPTING AND WRITING FUNCTIONS IN R
  10. CHAPTER 5 - USING R AS A GIS
  11. CHAPTER 6 - POINT PATTERN ANALYSIS USING R
  12. CHAPTER 7 - SPATIAL ATTRIBUTE ANALYSIS WITH R
  13. CHAPTER 8 - LOCALISED SPATIAL ANALYSIS
  14. CHAPTER 9 - R AND INTERNET DATA
  15. CHAPTER 10 - EPILOGUE
  16. INDEX