000 04373nam a22005417a 4500
001 sulb-eb0022819
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007 cr nn 008mamaa
008 130622s2013 xxu| s |||| 0|eng d
020 _a9781461476184
_9978-1-4614-7618-4
024 7 _a10.1007/978-1-4614-7618-4
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMBNS
_2bicssc
072 7 _aMED090000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aBivand, Roger S.
_eauthor.
245 1 0 _aApplied Spatial Data Analysis with R
_h[electronic resource] /
_cby Roger S. Bivand, Edzer Pebesma, Virgilio Gómez-Rubio.
250 _a2nd ed. 2013.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXVIII, 405 p. 121 illus., 89 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUse R! ;
_v10
505 0 _aPreface 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 .
520 _aApplied 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 edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition.   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 science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science.   The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org.   The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.
650 0 _aStatistics.
650 0 _aGeography.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aStatistics, general.
650 2 4 _aEnvironmental Monitoring/Analysis.
650 2 4 _aGeography, general.
700 1 _aPebesma, Edzer.
_eauthor.
700 1 _aGómez-Rubio, Virgilio.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461476177
830 0 _aUse R! ;
_v10
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-7618-4
912 _aZDB-2-SMA
942 _2Dewey Decimal Classification
_ceBooks
999 _c44911
_d44911