TimeVis - New book about "Visualization of Time-Oriented Data"

Submitted by Wolfgang Aigner on

Most of the data and information we are dealing with is related to time. Due to the distinct characteristics of dimension of time, appropriate visual and analytical methods are required to explore and analyze them. The new book "Visualization of Time-Oriented Data" (Springer, 2011) by Wolfgang Aigner, Silvia Miksch, Heidrun Schumann and Christian Tominski is devoted to a systematic view on this topic and the first of its kind. It is aimed at scientists as well as at practitioners seeking information on how their time-oriented data can best be visualized in order to gain valuable insights.

 

Time 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.

The book is available as hardcover print edition and e-book version:

 

Book website:

 

About the authors:

Wolfgang Aigner is assistant professor at the Institute of Software Technology & Interactive Systems at Vienna University of Technology, Austria.

Silvia Miksch is professor at the Institute of Software Technology & Interactive Systems at Vienna University of Technology, Austria and head of the Laura Bassi Centre of Expertise "CVAST – Center for Visual Analytics Science and Technology (Design, Interact & Explore)". 

Heidrun Schumann is a professor at the Institute for Computer Science at the University of Rostock, Germany, where she heads the Computer Graphics Research Group.

Christian Tominski is a lecturer and researcher at the Institute for Computer Science at the University of Rostock, Germany.