| Titre : |
An introduction to R for spatial analysis and mapping |
| Type de document : |
livre |
| Auteurs : |
Chris Brunsdon, Auteur ; Lex Comber, Auteur |
| Mention d'édition : |
2nd ed. |
| Editeur : |
London : Sage |
| Année de publication : |
2019 |
| Collection : |
Spatial analytics and GIS |
| Importance : |
325 p. |
| ISBN/ISSN/EAN : |
978-1-5264-2850-9 |
| Note générale : |
First ed. publ. 2015, reprinted 2015, 2016, 2017; This ed. first publ. 2019; Online resources (the site contains all of the code, scripts, exercises and self-test questions contained in each chapter, and these are available to download) : https://study.sagepub.com/brunsdon2e |
| Langues : |
Anglais (eng) |
| Mots-clés : |
R (Computer program language) Spatial analysis Spatial data Cartography Geographical information systems |
| Résumé : |
Le site éditeur indique : 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.
Revised and updated, each chapter includes:
* example data and commands to explore hands-on;
* scripts and coding to exemplify specific functionality;
* self-contained exercises for students to work through;
* embedded code within the descriptive text.
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. |
| En ligne : |
https://uk.sagepub.com/en-gb/eur/an-introduction-to-r-for-spatial-analysis-and-m [...] |
An introduction to R for spatial analysis and mapping [livre] / Chris Brunsdon, Auteur ; Lex Comber, Auteur . - 2nd ed. . - London : Sage, 2019 . - 325 p.. - ( Spatial analytics and GIS) . ISBN : 978-1-5264-2850-9 First ed. publ. 2015, reprinted 2015, 2016, 2017; This ed. first publ. 2019; Online resources (the site contains all of the code, scripts, exercises and self-test questions contained in each chapter, and these are available to download) : https://study.sagepub.com/brunsdon2e Langues : Anglais ( eng)
| Mots-clés : |
R (Computer program language) Spatial analysis Spatial data Cartography Geographical information systems |
| Résumé : |
Le site éditeur indique : 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.
Revised and updated, each chapter includes:
* example data and commands to explore hands-on;
* scripts and coding to exemplify specific functionality;
* self-contained exercises for students to work through;
* embedded code within the descriptive text.
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. |
| En ligne : |
https://uk.sagepub.com/en-gb/eur/an-introduction-to-r-for-spatial-analysis-and-m [...] |
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