Visualization of Time-oriented Data

by Aigner, Wolfgang; Miksch, Silvia; Schumann, Heidrun; Tominski, Christian

• ISBN13: 9780857290786
• ISBN10: 0857290789
• Format: Hardcover
• Copyright: 2011-06-14
• Publisher: Springer-Nature New York Inc

Summary

Time is an exceptional data dimension due to its importance and unique influence. This implies that special methods are needed for dealing with time in data sets in order to take advantage of these specifics. Visual methods are a key part of this tool set allowing for presentation, analysis, and exploration of temporal data sets.Visualisation of Time-Oriented Data provides an overview of the field of visualisation techniques for time-oriented data, but even more importantly analyses the specifics and similarities of the investigated techniques in order to identify clusters for structuring and making the field manageable. It also analyses the techniqes uniformly along different sets of attributes making it easy to grasp their main characteristics and support researchers as well as developers in selecting appropriate techniques for their demands. The theoretic foundations of visualization itself are also discussed, the data dimension time, tasks related to time-oriented data, possible mappings of time, various examples of early (pre-computer age) representation techniques, and a conceptual framework for visually analyzing time-oriented data.

Table of Contents

Foreword	p. vii
Preface	p. ix
About the Authors	p. xi
Acknowledgements	p. xiii
Introduction	p. 1
Introduction to Visualization	p. 3
Application Example	p. 9
Book Outline	p. 12
References	p. 12
Historical Background	p. 15
Classic Ways of Graphing Time	p. 15
Time in Visual Storytelling & Arts	p. 35
Summary	p. 42
References	p. 43
Time & Time-Oriented Data	p. 45
Modeling Time	p. 46
Design Aspects	p. 47
Granularities & Time Primitives	p. 53
Characterizing Data	p. 62
Relating Data & Time	p. 64
Summary	p. 65
References	p. 67
Visualization Aspects	p. 69
Characterization of the Visualization Problem	p. 70
What? - Time & Data	p. 71
Why? - User Tasks	p. 72
How? - Visual Representation	p. 76
Visualization Design Examples	p. 83
Data Level	p. 83
Task Level	p. 87
Presentation Level	p. 95
Summary	p. 99
References	p. 101
Interaction Support	p. 105
Motivation & User Intents	p. 106
Fundamental Principles	p. 108
Basic Methods	p. 115
Integrating Interactive and Automatic Methods	p. 120
Summary	p. 124
References	p. 125
Analytical Support	p. 127
Temporal Analysis Tasks	p. 128
Clustering	p. 130
Temporal Data Abstraction	p. 132
Principal Component Analysis	p. 137
Summary	p. 143
References	p. 144
Survey of Visualization Techniques	p. 147
Techniques	p. 148
Summary	p. 253
References	p. 254
Conclusion	p. 255
Summary	p. 255
Application Issues	p. 257
Research Challenges	p. 259
Visual Analytics	p. 263
References	p. 266
References	p. 269
Index	p. 283
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