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Book ID: 95881
Bivand, Roger S., Edzer J. Pebesma and Virgilio Gomez-Rubio

Applied Spatial Data Analysis with R. 2008. (Use R). XIV, 378 p. gr8vo. Paper bd.

Applied Spatial Data Analysis with R 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 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.
Autor/Hrsg. Bivand, Roger S., Edzer J. Pebesma and Virgilio Gomez-Rubio
Artikeltyp Titel
Autor(en) Bivand, Roger S., Edzer J. Pebesma and Virgilio Gomez-Rubio
Seiten Bivand, Roger S., Edzer J. Pebesma and Virgilio Gomez-Rubio: Applied Spatial Data Analysis with R. 2008. (Use R). XIV, 378 p. gr8vo. Paper bd. (95881) 44.00
Verlag Springer Nature, KNR: 300 224 8189 Customer Service Center GmbH Kundenservice Buch
Preis netto 41,12
USD Preis netto 45,2
ISBN/ISSN 9780387781709
ISBN 9780387781709
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