"R is a powerful open-source computing tool that supports geographical analysis and mapping. For geographers and 'non-geographers' alike, this text provides an introduction to the use of R for spatial statistical analysis, geocomputation, and the analysis of geographical information. ... A core reso
An introduction to R for spatial analysis & mapping
โ Scribed by Chris Brunsdon; Lex Comber
- Year
- 2019
- Tongue
- English
- Leaves
- 337
- Series
- Spatial analytics and GIS
- Edition
- Second
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
R FOR SPATIAL ANALYSIS & MAPPING - FRONT COVER
R FOR SPATIAL ANALYSIS & MAPPING
COPYRIGHT
CONTENTS
ABOUT THE AUTHORS
CHAPTER 1 - INTRODUCTION
CHAPTER 2 - DATA AND PLOTS
CHAPTER 3 - BASICS OF HANDLING SPATIAL DATA 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
CHAPTER 8 - LOCALISED SPATIAL ANALYSIS
CHAPTER 9 - R AND INTERNET DATA
CHAPTER 10 - EPILOGUE
INDEX
๐ SIMILAR VOLUMES
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<p style="text-align: justify;">"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using โฒout of the boxโฒ software. They need to have 21st-century analytical skills too. Thi
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