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Visualization of Time-Oriented Data / by Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Human-Computer Interaction Series | SpringerLink BücherPublisher: London : Springer-Verlag London Limited, 2011Description: Online-Ressource (XVI, 286 p. 237 illus., 170 illus. in color, digital)ISBN:- 9780857290793
- 005.75
- 4.019
- 005.437
- 004.019 23
- QA76.9.U83 QA76.9.H85
- TK7882.I6
Contents:
Summary: 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 systematicPPN: PPN: 1650946961Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS | ZDB-2-SEB
Foreword; Preface; About the Authors; Acknowledgements; Contents; 1 Introduction; 1.1 Introduction to Visualization; 1.2 Application Example; 1.3 Book Outline; References; 2 Historical Background; 2.1 Classic Ways of Graphing Time; 2.2 Time in Visual Storytelling & Arts; 2.3 Summary; References; 3 Time & Time-Oriented Data; 3.1 Modeling Time; 3.1.1 Design Aspects; 3.1.2 Granularities & Time Primitives; 3.2 Characterizing Data; 3.3 Relating Data & Time; 3.4 Summary; References; 4 Visualization Aspects; 4.1 Characterization of the Visualization Problem; 4.1.1 What?Time & Data
4.1.2 Why?User Tasks4.1.3 How? -- Visual Representation; 4.2 Visualization Design Examples; 4.2.1 Data Level; 4.2.2 Task Level; 4.2.3 Presentation Level; 4.3 Summary; References; 5 Interaction Support; 5.1 Motivation & User Intents; 5.2 Fundamental Principles; 5.3 Basic Methods; 5.4 Integrating Interactive and Automatic Methods; 5.5 Summary; References; 6 Analytical Support; 6.1 Temporal Analysis Tasks; 6.2 Clustering; 6.3 Temporal Data Abstraction; 6.4 Principal Component Analysis; 6.5 Summary; References; 7 Survey of Visualization Techniques; 7.1 Techniques; 7.2 Summary; References
8 Conclusion8.1 Summary; 8.2 Application Issues; 8.3 Research Challenges; 8.4 Visual Analytics; References; References; Index
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