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An introduction to R for spatial analysis & mapping

By: Brunsdon, Chris.
Contributor(s): Comber, Lex.
Material type: TextTextDescription: ix, 343 pages : illustrations (chiefly color), maps (chiefly color) ; 24cm.ISBN: 9781446272954; 1446272958; 9781446272947; 144627294X.Subject(s): Spatial analysis (Statistics) | R (Computer program language)DDC classification: 300.1519
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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non fiction 300.1519 (Browse shelf) Available R000013093

Include 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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