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008 | 150903s2011 xxk| o |||| 0|eng d | ||
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_a9780857290793 _99780857290793 |
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024 | 7 |
_a10.1007/9780857290793 _2doi |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aQA76.9.U83 | |
100 | 1 |
_aAigner, Wolfgang. _eautor _9305438 |
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245 | 1 | 0 |
_aVisualization of Time-Oriented Data / _cby Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski. |
264 | 1 |
_aLondon : _bSpringer London, _c2011. |
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300 |
_axvI, 286 páginas 237 ilustraciones, 170 ilustraciones en color. _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aHuman-Computer Interaction Series, _x1571-5035 |
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500 | _aSpringer eBooks | ||
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. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aMiksch, Silvia. _eautor _9305439 |
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700 | 1 |
_aSchumann, Heidrun. _eautor _9305440 |
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700 | 1 |
_aTominski, Christian. _eautor _9305441 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9780857290786 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-85729-079-3 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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