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

By:

Brunsdon, Chris

Contributor(s):

Lex Comber

Material type: Text

TextSeries: 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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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam - Andhra University	300.15195 BRU (Browse shelf(Opens below))	Available		001649

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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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