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020 _a9780857290793
_9978-0-85729-079-3
040 _cMX-MeUAM
050 4 _aQA76.9.U83
050 4 _aQA76.9.H85
082 0 4 _a005.437
_223
082 0 4 _a4.019
_223
100 1 _aAigner, Wolfgang.
_eauthor.
245 1 0 _aVisualization of Time-Oriented Data
_h[recurso electrónico] /
_cby Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski.
264 1 _aLondon :
_bSpringer London,
_c2011.
300 _aXVI, 286 p. 237 illus., 170 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 _aHuman-Computer Interaction Series,
_x1571-5035
505 0 _aIntroduction -- Historical Background -- Time & Time-Oriented Data.-Visualization Aspects -- Interaction Support -- Analytical Support -- Survey of Visualization Techniques -- Conclusion.
520 _aTime is an exceptional dimension that is common to many application domains such as medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data enables us to learn from the past in order to predict, plan, and build the future. Due to the distinct characteristics of time, appropriate visual and analytical methods are required to explore and analyze them. This book starts with an introduction to visualization and a number of historical examples of visual representations. At its core, the book presents and discusses a systematic view of the visualization of time-oriented data. This view is structured along three key questions. While the aspects of time and associated data describe what is being visualized, user tasks are related to the question why something is visualized. These characteristics and tasks determine how the visualization is to be designed. To support visual exploration, interaction techniques and analytical methods are required as well, which are discussed in separate chapters. The concepts explained in this book are illustrated with numerous examples. A large part of this book is devoted to a structured survey of existing techniques for visualizing time and time-oriented data. Overall, 101 different visualization techniques are presented on a per-page basis; each of these self-contained descriptions is accompanied by an illustration and corresponding references.  This survey serves as a reference for scientists conducting related research as well as for practitioners seeking information on how their time-oriented data can best be visualized in order to gain valuable insights.
650 0 _aComputer science.
650 0 _aInformation systems.
650 0 _aComputer vision.
650 1 4 _aComputer Science.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aInformation Systems and Communication Service.
650 2 4 _aComputer Applications.
700 1 _aMiksch, Silvia.
_eauthor.
700 1 _aSchumann, Heidrun.
_eauthor.
700 1 _aTominski, Christian.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780857290786
830 0 _aHuman-Computer Interaction Series,
_x1571-5035
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-85729-079-3
596 _a19
942 _cLIBRO_ELEC
999 _c198358
_d198358