000			03493cam a2200385 i 4500
001			17707769
003			EG-ScBUE
005			20241210103204.0
008			130423t2013 nyua f b 001 0 eng d
020			_a9781461476177 (pbk. : alk. paper)
020			_a1461476178 (pbk. : alk. paper)
040			_aCDX _beng _erda _cCDX _dLML _dOCLCQ _dYDXCP _dCOO _dOCLCO _dZ@L _dDLC _dEG-ScBUE
082	0	4	_a519.50285 _222 _bBIV
100	1		_aBivand, Roger, _eauthor. _938117
245	1	0	_aApplied spatial data analysis with R / _cRoger S. Bivand, Edzer Pebesma, Virgilio Gomez-Rubio.
250			_aSecond edition.
264		1	_aNew York : _bSpringer, _c[2013]
264		4	_cc2013
300			_axviii, 405 pages : _billustrations (some color) ; _c23 cm.
336			_2rdacontent _atext _btxt
337			_aunmediated _2rdamedia _bn
338			_avolume _bnc _2rdacarrier
490	1		_aUse R!
504			_aIncludes bibliographical references and index.
505	0		_aHello 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			_a"Applied 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."--
650		7	_aSpatial analysis (Statistics) _xData processing. _2BUEsh
650		7	_aR (Computer program language) _2BUEsh
651			_2BUEsh
653			_bENGGEN _bCOMSCI _cJune2015
655			_vReading book _934232
700	1		_aPebesma, Edzer J., _eauthor.
700	1		_aGomez-Rubio, Virgilio, _eauthor.
942			_2ddc _cBB
999			_c19487 _d19459