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An introduction to R for spatial analysis & mapping / Chris Brunsdon and Lex Comber.

By: Contributor(s): Material type: TextPublisher: Los Angeles : SAGE, 2015Description: ix, 343 pages : illustrations (chiefly color), maps (chiefly color) ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781446272954
  • 1446272958
  • 9781446272947
  • 144627294X
Subject(s): LOC classification:
  • QA276.45.R3 B78 2015
Contents:
Data and plots -- Handling spatial data in R -- Programming in R -- Using R as a GIS -- Point pattern analysis using R -- Spatial attribute analysis with R -- Localised spatial analysis -- R and internet data.
Summary: "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 resource for anyone collecting and using spatially referenced data, this is the definitive 'how to' that takes students--from any discipline--from coding to actual applications and uses of R."--Page [4] of cover.
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Non-Fiction Kapasa Makasa University Open Access Kapasa Makasa University Non-fiction QA 276.45.R3 Bru (Browse shelf(Opens below)) Available 748914
Total holds: 0

Includes bibliographical references and index.

Data and plots -- Handling spatial data in R -- Programming in R -- Using R as a GIS -- Point pattern analysis using R -- Spatial attribute analysis with R -- Localised spatial analysis -- R and internet data.

"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 resource for anyone collecting and using spatially referenced data, this is the definitive 'how to' that takes students--from any discipline--from coding to actual applications and uses of R."--Page [4] of cover.

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