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An introduction to r for spatial analysis and mapping / by Chris Brunsdon,

By: Contributor(s): Material type: TextTextSeries: Spatial analysis and GISPublisher: Thousand Oaks, CA : SAGE Publications, 2018Edition: 2nd editionDescription: ix, 325 pages : illustrations (some color),color maps ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781526428509 (pbk)
  • 9781526428493 (hbk)
Subject(s): DDC classification:
  • 300.15195  BRU
Summary: 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. 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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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. 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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