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Applied spatial data analysis with R. (English) Zbl 1166.62038
Use R!. New York, NY: Springer (ISBN 978-0-387-78170-9/pbk). xiv, 374 p. (2008).
Publisher’s description: This text 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. The second part shows cases of 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.
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 systems, environmental sciences, ecology, public health and disease control, economics, public administration and political sciences. The book has a website where coloured figures, complete code examples, data sets, and other support material may be found: http://www.asdar-book.org.

MSC:
62H11 Directional data; spatial statistics
62M30 Inference from spatial processes
62-04 Software, source code, etc. for problems pertaining to statistics
62Pxx Applications of statistics
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
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