We began writing this book in parallel with developing software for handling and analysing spatial data with R (R Development Core Team, 2008). – though the book is now complete, software development will continue, in the R community fashion, of rich and satisfying interaction with users around the world, of rapid releases to resolve problems, and of the usual joys and frust- tions of getting things done. There is little doubt that without pressure from users, the development of R would not have reached its present scale, and the same applies to analysing spatial data analysis with R. It would, however, not be su?cient to describe the development of the R project mainly in terms of narrowly de?ned utility. In addition to being a communityprojectconcernedwiththedevelopmentofworld-classdataana- sis software implementations, it promotes speci?c choices with regard to how data analysis is carried out.R is open source not only because open source software development, including the dynamics of broad and inclusive user and developer communities, is arguably an attractive and successful development model.
Cuprins
Hello, world: handling spatial data in R.- Classes for spatial data in R.- Visualizing spatial data.- Spatial data import and export.- Further methods for handling spatial data.- Customising spatial data classes and methods.- Spatial point pattern analysis.- Interpolation and geostatistics.- Areal data and spatial autocorrelation.- Modelling areal data.- Disease mapping.- Afterword.- References.
Limba Engleză ● Format PDF ● Pagini 376 ● ISBN 9780387781716 ● Mărime fișier 11.0 MB ● Editura Springer New York ● Oraș NY ● Țară US ● Publicat 2008 ● Descărcabil 24 luni ● Valută EUR ● ID 2146228 ● Protecție împotriva copiilor Adobe DRM
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