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Autor(en): 
  • Heidrun Schumann
  • Wolfgang Aigner
  • Silvia Miksch
  • Christian Tominski
  • Visualization of Time-Oriented Data 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2016  
    Genre:  EDV / Informatik 
     
    Application software / C / Computer and Information Systems Applications / Computer Applications / Computer networking & communications / computer science / Computer Vision / Computers
    ISBN:  9781447168690 
    EAN-Code: 
    9781447168690 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Human–Computer Interaction Series  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  630 gr 
    Seiten:  286 
    Illustration:  XVI, 286 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Time is an exceptional dimension that is common to many application domains such as medicine, engineering, business, or science. 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 historical examples of visual representations. At its core, the book presents and discusses a systematic view of the visualization of time-oriented data along three key questions: what is being visualized (data), why something is visualized (user tasks), and how it is presented (visual representation). To support visual exploration, interaction techniques and analytical methods are required that are discussed in separate chapters.

    A large part of this book is devoted to a structured survey of 101 different visualization techniques 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.

      



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