000			03856cam a2200373 i 4500
001			990204313960107026
003			UkOxU
005			20260512150100.0
008			141010s2015 fluab b 001 0 eng
010			_a2014039562
020			_a9781482257373
035			_a(UkOxU)020431396
035			_a(UkOxU)020431396BIB01
035			_a(OCoLC)893202561 _z(OCoLC)884540149 _z(OCoLC)913200120 _z(OCoLC)915438309
040			_aDLC _beng _erda _cDLC _dYDX _dYDXCP _dBTCTA _dOCLCF _dCDX _dAU@ _dOCLCO _dUkOxU
041			_aEnglish
042			_apcc
050	0	0	_aTK7882.I6 _bW37 2015
100			_aWard, Matthew, _d1955- _eauthor.
245	1	0	_aInteractive data visualization _b: foundations, techniques, and applications _c/ Matthew Ward, Georges Grinstein, Daniel Keim.
250			_aSecond edition.
264		1	_aBoca Raaton : _bCRC Press, Taylor & Francis Group, _c[2015]
300			_axix, 558 pages : _billustrations (some color), maps (some color) ; _c25 cm.
500			_a"An A K Peters book."
504			_aIncludes bibliographical references and index.
505	0		_aWhat Is Visualization? — History of Visualization — Relationship between Visualization and Other Fields — The Visualization Process — The Role of Cognition — Pseudocode Conventions — The Scatterplot — The Role of the User — Related Readings — Exercises — Projects — Data Foundations — Types of Data — Structure within and between Records — Data Preprocessing — Data Sets Used in This Book — Related Readings — Exercises — Projects — Human Perception and Information Processing — What Is Perception? — Physiology — Perceptual Processing — Perception in Visualization — Metrics — Cognition — Related Readings — Exercises — Projects — Visualization Foundations — The Visualization Process in Detail — Semiology of Graphical Symbols — The Eight Visual Variables.
520			_aAn Updated Guide to the Visualisation of Data for Designers, Users, and Researchers: Interactive Data Visualisation: Foundations, Techniques, and Applications, Second Edition offers the theory, detail, and practical tools required to design and build systems for visualising data. Presented in full colour, it introduces the essential terminology and concepts, discusses algorithmic and software engineering considerations, and outlines widely used techniques and higher-level algorithms. Complete source code is included to support implementation. New in the Second Edition: Additional recommended readings, exercises, and programming projects; Improved figures, with many new illustrations; A new chapter dedicated to techniques for time-oriented data. This well-regarded text continues to examine the core elements of the visualisation process, from data through to the human observer. For developers, it provides guidance on designing effective visualisations informed by principles of human perception, graphical design, art, and usability. For practitioners, it illustrates how public and commercial visualisation systems can be applied to real-world problems across a variety of domains. For researchers, it surveys emerging technologies and current areas of innovation being explored in academic and industrial contexts. Each chapter includes a range of exercises, from review questions to more open-ended problems that encourage readers to develop alternative approaches and extend their understanding. Programming projects further enable readers to move from basic algorithmic implementation to adapting and extending methods for more advanced applications.
650		0	_aInformation visualization _99123
650		0	_aComputer graphics _99124
650		0	_aImage processing _97327
700			_aGrinstein, Georges G., _eauthor. _925903
700			_aKeim, Daniel, _eauthor. _925904
942			_2lcc
999			_c4955 _d4955