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Central Library - Vidyasagar University

“Education does not only mean learning, reading, writing, and arithmetic,

it should provide a comprehensive knowledge”

-Ishwarchandra Vidyasagar


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

By: Brunsdon, Chris [author.].
Contributor(s): Comber, Lex [ joint author.].
Material type: TextTextPublisher: New Delhi: SAGE, 2015Description: ix, 343 pages : illustrations (chiefly color), maps (chiefly color) ; 25 cm. Carrier type: ISBN: 9781446272954:.Subject(s): R | COMPUTER PROGRAMMING- LANGUAGE | SPATIAL ANALYSIS (STATISTICS)DDC classification: 910.15195
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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Item type Current location Call number Copy number Status Notes Date due Barcode
Books Books Central Library
Library Annex (Ground Floor)
910.15195 BRU/I (Browse shelf) 1 Available 3362 111042

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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