Applied Spatial Data Analysis with R
English, Edzer J. Pebesma, Roger S. Bivand, Virgilio Gómez-Rubio, 2013More than 10 pieces in stock at supplier
Product details
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts. The first part presents R packages, functions, classes, and methods for handling spatial data. This section is of interest to users who need to access and visualize 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, along with the handling of spatio-temporal data. The second part showcases more specialized 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 CRAN.
topic | Mathematics & Natural Sciences |
Language | English |
Author | Edzer J. Pebesma, Roger S. Bivand, Virgilio Gómez-Rubio |
Year | 2013 |
Number of pages | 405 |
Book cover | Paperback |
Item number | 7711612 |
Publisher | Springer |
Category | Reference books |
Release date | 10.2.2018 |
topic | Mathematics & Natural Sciences |
Language | English |
Author | Edzer J. Pebesma, Roger S. Bivand, Virgilio Gómez-Rubio |
Year | 2013 |
Number of pages | 405 |
Edition | 2 |
Book cover | Paperback |
CO₂ emissions | 0,5 kg |
Climate contribution | EUR 0,12 |
Product Safety |
30-day right of return if unopened
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