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020 _a9780857290793
_99780857290793
024 7 _a10.1007/9780857290793
_2doi
035 _avtls000333797
039 9 _a201509030804
_bVLOAD
_c201404130535
_dVLOAD
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.9.U83
100 1 _aAigner, Wolfgang.
_eautor
_9305438
245 1 0 _aVisualization of Time-Oriented Data /
_cby Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski.
264 1 _aLondon :
_bSpringer London,
_c2011.
300 _axvI, 286 páginas 237 ilustraciones, 170 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aHuman-Computer Interaction Series,
_x1571-5035
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
700 1 _aSchumann, Heidrun.
_eautor
_9305440
700 1 _aTominski, Christian.
_eautor
_9305441
710 2 _aSpringerLink (Servicio en línea)
_9299170
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)
942 _c14
999 _c280488
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