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

By: Contributor(s): Publisher: Description: 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): DDC classification:
  • 300.1/5195 23 B899
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.
Item type: كتاب
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Item type Current library Call number Status Notes Date due Barcode
كتاب كتاب Central Library المكتبة المركزية 300.15195 B899 (Browse shelf(Opens below)) Available قاعة الكتب

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.