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

By: Brunsdon, Chris [author.].
Contributor(s): Comber, Lex [author.].
Material type: materialTypeLabelBookSeries: Spatial analytics and GIS series: Publisher: London ; Thousand Oaks, California : SAGE Publications, 2019Edition: Second edition.Description: ix, 325 pages : illustrations (some color), color maps ; 25 cm.ISBN: 1526428490; 9781526428493; 1526428504; 9781526428509.Other title: Introduction to R for spatial analysis and mapping.Subject(s): R | PROGRAMMING LANGUAGES | SPATIAL ANALYSIS | STATISTICS | DATA PROCESSING | GEOGRAPHIC INFORMATION SYSTEMS | GEOGRAPHY | STATISTICAL METHODS | MATHEMATICSHoldings: GRETA POINT: 519.22 BRU
Contents:
1. Introduction -- 2. Data and plots -- 3. Basics of handling spatial data in R -- 4. Scripting and writing function in R -- 5. Using R as a GIS -- 6. Point pattern analysis using R -- 7. Spatial attribute analysis with R -- 8. Localised spatial analysis -- 9. R and internet data -- 10. Epilogue -- Index.
Summary: This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from 'zero to hero', updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers -- regardless of discipline -- collecting and using data with location attached.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
BOOK BOOK WELLINGTON
BOOKS
519.22 BRU 1 Issued 28/06/2022 B021895
BOOK BOOK WELLINGTON
BOOKS
519.22 BRU 2 Issued 04/08/2022 B021896

Previous edition: 2015.

Includes bibliographical references and index.

1. Introduction -- 2. Data and plots -- 3. Basics of handling spatial data in R -- 4. Scripting and writing function in R -- 5. Using R as a GIS -- 6. Point pattern analysis using R -- 7. Spatial attribute analysis with R -- 8. Localised spatial analysis -- 9. R and internet data -- 10. Epilogue -- Index.

This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from 'zero to hero', updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers -- regardless of discipline -- collecting and using data with location attached.

GRETA POINT: 519.22 BRU

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