An Introduction to R for Spatial Analysis and Mapping

Nonfiction, Social & Cultural Studies, Social Science, Methodology, Science & Nature, Science, Earth Sciences, Geography
Cover of the book An Introduction to R for Spatial Analysis and Mapping by Chris Brunsdon, Lex Comber, SAGE Publications
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Author: Chris Brunsdon, Lex Comber ISBN: 9781526454225
Publisher: SAGE Publications Publication: December 10, 2018
Imprint: SAGE Publications Ltd Language: English
Author: Chris Brunsdon, Lex Comber
ISBN: 9781526454225
Publisher: SAGE Publications
Publication: December 10, 2018
Imprint: SAGE Publications Ltd
Language: English

This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial 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 edition includes 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.

 

 

 

 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial 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:

 

The new edition includes 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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