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

By: Contributor(s): Material type: TextTextPublication details: Los Angeles : SAGE, 2015.Description: ix, 343 pages : illustrations (chiefly color), maps (chiefly color) ; 25 cmISBN:
  • 9781446272954
  • 1446272958
  • 9781446272947
  • 144627294X
Subject(s): DDC classification:
  • 300.15195 23 BRU
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.
List(s) this item appears in: Department of Statistics
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Holdings
Item type Current library Collection Call number Status Barcode
Books Books LRC General Stacks Non-fiction 300.15195 BRU (Browse shelf(Opens below)) Available B0043406
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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