This book provides an overview of the field of visualization techniques for time-oriented data. It analyses the specifics and similarities of the investigated techniques in order to identify clusters for structuring and making the field manageable.

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.

A comprehensive overview of the field Includes a survey of cutting-edge, interactive Information Visualization techniques for time-oriented data Researchers, students and practitioners will benefit from the categorization scheme that makes the field graspable Unified characterisation of techniques enables the comparison of different methods along distinct attributes Includes supplementary material: sn.pub/extras

Zusammenfassung
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).

Inhalt

Introduction.- Historical Background.- Time & Time-Oriented Data.-Visualization Aspects.- Interaction Support.- Analytical Support.- Survey of Visualization Techniques.- Conclusion.