000			03764nam a2200409 i 4500
005			20250930140349.0
008			150316s20142014fluab b 001 0 eng
020			_a9781466565203 _q(hardback) _cRM275.95
039		9	_a201508181205 _bbaiti _c201508041559 _dbinar _c201503160943 _dbinar _c201503160941 _dbinar _y03-16-2015 _zbinar
040			_aDLC _beng _erda _cDLC _dBTCTA _dTXA _dYDXCP _dBUF _dOCLCO _dOCLCF _dOCLCA _dCRCPR _dOCLCQ _dBDX _dCDX _dUKM
090			_aQA280.P477
090			_aQA280 _b.P477
100	1		_aPerpinan Lamigueiro, Oscar.
245	1	0	_aDisplaying time series, spatial, and space-time data with R / _cOscar Perpi{u4BA2}an Lamigueiro, ETSIDI-UPM, Madrid, Spain.
264		1	_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c[2014]
264		4	_c© 2014
300			_avii, 200 pages : _billustrations (chiefly color), color maps ; _c24 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	1		_aChapman & Hall/CRC the R series
504			_aIncludes bibliographical references (pages 191-196) and index.
505	0		_a1. Time series -- 2. Spatial data -- 3. Space-time data.
520			_a'This book explores methods to display time series, spatial and spacetimedata using R, and aims to be a synthesis of both groups providing code and detailed information to produce high quality graphics with practical examples. Organized into three parts, the book covers the various visualization methods or data characteristics. The chapters are structured as independent units so readers can jump directly to a certain chapter according to their needs. Dependencies and redundancies between the set of chapters have been conveniently signaled with cross-references'-- _cProvided by publisher.
520			_a'Chapter 1 Introduction 1.1 What this book is about A data graphic is not only an static image. It tells an story about the data. It activates cognitive processes which are able to detect patterns and discover information not readily available with the raw data. This is particularly true for time series, spatial and space-time data sets. There are several excellent books about data graphics and visual perception theory, with guidelines and advice for displaying information including visual examples. Let's mention'The elements of graphical data' [Cleveland, 1994] and'Visualizing Data' [Cleveland, 1993] byW. S. Cleveland,'Envisioning information' [Tufte, 1990] and'The visual display of quantitative information' [Tufte, 2001] by E. Tufte,'The functional art' by A. Cairo [Cairo, 2012], and'Visual thinking for design' by C. Ware [Ware, 2008]. Ordinarily they don't include the code or software tools to produce those graphics. On the other hand, there are a collection of books which provide code and detailed information about the graphical tools available with R. Commonly they do not use real data in the examples, and do not provide advice to improve graphics according to visualization theory. Three books are the unquestioned representatives of this group:'R Graphics' by P. Murrell [Murrell, 2011],'lattice' by D. Sarkar [Sarkar, 2008], and'ggplot2' by H. Wickham [Wickham, 2009]'-- _cProvided by publisher.
650		0	_aTime-series analysis _xData processing. _962220
650		0	_aR (Computer program language)
830		0	_aChapman & Hall/CRC the R series (CRC Press)
907			_a.b16095030 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA280.P477
914			_avtls003580980
990			_abety
991			_aFakulti Sains dan Teknologi
998			_at _b2015-03-03 _cm _da _feng _gflu _y0 _z.b16095030
999			_c588577 _d588577