Visualization of Time-Oriented Data

By Wolfgang Aigner, Silvia Miksch, H. Schumann, Christian Tominski. Human-Computer Interaction Series, 2011

819 citations recorded by the source corpus.

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.

Subfields: Computer Vision and Pattern Recognition, Geography, Planning and Development, Literature and Literary Theory

View Paper: https://www.semanticscholar.org/paper/a4a84f5b19aa8c1eb8b31db67d2534ad3565ccab

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Citations in the corpus

A Multi-Level Typology of Abstract Visualization Tasks (2013, background): “→ identify identify [37, 42, 50, 57, 73, 78, 83]*[1, 58], reading (the data) [18], read (fact, pattern) [11]*, lookup [5]*, examine [66]*,”
A Taxonomy and Survey of Dynamic Graph Visualization (2017, background): “…to most of the approaches referenced in this survey, the above data model considers time as being discrete , but ordinal and continuous time scales [AMST11] can be represented indirectly: ordinal values could be mapped to virtual points on a discrete time scale; continuous processes that might…”
Visualization analysis & design (2015, neutral): “Temporal Semantics A good resource for time-oriented data vis is a recent book, Visualization of Time-Oriented Data [Aigner et al. 11].”
Stacking-Based Visualization of Trajectory Attribute Data (2012, methodology): “The ring of the time lens is segmented into time bins based on the data’s time model (see Aigner et al. [1]).”
AffectAura: an intelligent system for emotional memory (2012, methodology): “We were inspired by many timeline visualizations [1] of activities and data.”
A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, background): “Keywords visual analytics, information visualization, data analysis, user interaction”