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: | Unknown |
| Language: | English |
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Los Angeles
SAGE
2015
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| Online Access: | Click Here to View Status and Holdings. |
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Add Tag | Summary: | "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 |
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| Physical Description: | ix, 343 pages : illustrations 25 cm |
| Bibliography: | Includes bibliographical references and indexes |
| ISBN: | 9781446272954 1446272958 |
Applied spatial data analysis with R 
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