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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| Format: | Book |
| Language: | English |
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Los Angeles
SAGE
2015
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| 005 | 202032410251 | ||
| 008 | t2015 XXU ag| |#001###eng#D | ||
| 020 | # | # | |a 9781446272954 |q paperback |
| 020 | # | # | |a 1446272958 |
| 040 | # | # | |a ITMB |e rda |
| 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 |
| 337 | # | # | |a unmediated |2 rdamedia |
| 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 |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=550910 |
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Applied spatial data analysis with R