Description
Book SynopsisApplied 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 e
Trade Review
“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 ContentsPreface 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.
