Skip to search
Skip to main content
Title starts with
Author (sorted by title)
Call number (browse)
Princeton University Library Catalog
Applied Spatial Data Analysis with R [electronic resource] / by Roger S. Bivand, Edzer Pebesma, Virgilio Gómez-Rubio.
Bivand, Roger S.
2nd ed. 2013.
New York, NY : Springer New York : Imprint: Springer, 2013.
1 online resource (414 p.)
R (Computer program language).
Use R!, 10
[More in this series]
Use R!, 2197-5736 ; 10
[More in this series]
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.
Description based upon print version of record.
Includes bibliographical references and indexes.
Preface 2nd edition
Preface 1st edition
Hello World: Introducing Spatial Data
Classes for Spatial Data in R
Visualising Spatial Data
Spatial Data Import and Export
Further Methods for Handling Spatial Data
Classes for spatio-temporal Data
Spatial Point Pattern Analysis
Interpolation and Geostatistics
Modelling Areal Data
Disease Mapping .
Show 9 more Contents items
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.