An introduction to R for spatial analysis & mapping

"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using 'out of the box' software. They need to have 21st-century analytical skills too. This is an excellent...

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Bibliographic Details
Main Author: Brunsdon, Chris (Author)
Other Authors: Comber, Lex
Format: Unknown
Language:English
Published: Los Angeles SAGE 2015
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Online Access:Click Here to View Status and Holdings.
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020 # # |a 9781446272954  |q paperback 
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041 0 # |a eng 
090 0 0 |a QA276.45.R3  |b B78 2015 
100 1 # |a Brunsdon, Chris  |e author 
245 1 0 |a An introduction to R for spatial analysis & mapping  |c Chris Brunsdon and Lex Comber 
264 # 1 |a Los Angeles  |b SAGE  |c 2015 
300 # # |a ix, 343 pages :  |b illustrations  |c 25 cm 
336 # # |a text  |2 rdacontent 
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338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references and indexes 
505 0 # |a 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. 
520 # # |a "In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using 'out of the box' software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical 'how to' guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses." - Richard Harris, Professor of Quantitative Social Science, University of Bristol 
650 # 0 |a R (Computer program language) 
650 # 0 |a Spatial analysis (Statistics)  |x Data processing 
700 1 # |a Comber, Lex 
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