Use R!

Applied Spatial Data Analysis with R

Authors: Bivand, Roger S., Pebesma, Edzer, Gómez-Rubio, Virgilio

  • Addresses the needs of researchers and students using R to analyze spatial data across a range of disciplines and professions
  • Co-authored by a group involved in the Comprehensive R Archive Network
  • Second edition includes color figures and is fully revised
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eBook $54.99
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  • ISBN 978-1-4614-7618-4
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  • Immediate eBook download after purchase
Softcover $69.99
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  • ISBN 978-1-4614-7617-7
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About this book

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition.

 

This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science.

 

The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org.

 

The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.

About the authors

Roger Bivand is Professor of Geography in the Department of Economics at the Norwegian School of Economics, Bergen, Norway. Edzer Pebesma is Professor of Geoinformatics at Westfälische Wilhelms-Universität, Münster, Germany. Virgilio Gómez-Rubio is Associate Professor in the Department of Mathematics at Universidad de Castilla-La Mancha, Albacete, Spain

Reviews

“The book’s tone and technical focus … suits well its intended audience: advanced or intermediate users of R wanting to improve their spatial analysis skills. … this book is the authoritative resource on R’s spatial capabilities. I heartily recommend ASDAR to all existing R users interested in spatial data and adventurous R beginners with a strong grounding in GIS.” (Robin Lovelace, Applied Spatial Analysis and Policy, Vol. 8, 2015)


Table of contents (10 chapters)

  • Hello World: Introducing Spatial Data

    Bivand, Roger S. (et al.)

    Pages 1-16

  • Classes for Spatial Data in R

    Bivand, Roger S. (et al.)

    Pages 21-57

  • Visualising Spatial Data

    Bivand, Roger S. (et al.)

    Pages 59-82

  • Spatial Data Import and Export

    Bivand, Roger S. (et al.)

    Pages 83-125

  • Further Methods for Handling Spatial Data

    Bivand, Roger S. (et al.)

    Pages 127-150

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-1-4614-7618-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA
  • ISBN 978-1-4614-7617-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Applied Spatial Data Analysis with R
Authors
Series Title
Use R!
Series Volume
10
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
Distribution Rights
Distribution rights for India: Researchco Book Centre, New Delhi, India
eBook ISBN
978-1-4614-7618-4
DOI
10.1007/978-1-4614-7618-4
Softcover ISBN
978-1-4614-7617-7
Series ISSN
2197-5736
Edition Number
2
Number of Pages
XVIII, 405
Number of Illustrations and Tables
32 b/w illustrations, 89 illustrations in colour
Topics