Visualization of Time-Oriented Data

• Published in: Human-computer interaction series
• Main Authors: Aigner, Wolfgang, Miksch, Silvia, Schumann, Heidrun, Tominski, Christian
• Format: eBook
• Language: English
• Published: London Springer Nature 2023; Springer London, Limited
• Edition: 2
• Series: Human–Computer Interaction Series
• Subjects: Book Industry Communication; Combinatorics & graph theory; Computer science; Computer-Generated Visual Representations; Computing & information technology; Human-computer interaction; Mathematics; Mathematics & science; Time-Oriented Data; User interface design & usability; Visual analytics; Visualization
• ISBN: 9781447175278; 1447175263; 9781447175261; 1447175271
• ISSN: 1571-5035; 2524-4477
• DOI: 10.1007/978-1-4471-7527-8

This is an open access book. Time is an exceptional dimension with high relevance in medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data via visual representations enables us to learn from the past in order to predict, plan,...

Table of Contents:

• Intro -- Foreword -- Preface -- About the Authors -- Acknowledgements -- Contents -- Chapter 1 Introduction -- 1.1 Introduction to Visualization -- 1.2 Application Example: Health Record Visualization -- 1.3 Book Outline -- References -- Chapter 2 Historical Background -- 2.1 Classic Ways of Graphing Time -- 2.2 Time in Visual Storytelling &amp -- Arts -- 2.3 Summary -- References -- Chapter 3 Time &amp -- Time-Oriented Data -- 3.1 Modeling Time -- 3.1.1 Design Aspects -- 3.1.2 Granularities &amp -- Time Primitives -- 3.2 Characterizing Data -- 3.3 Relating Data &amp -- Time -- 3.4 Considering Data Quality -- 3.5 Summary -- References -- Chapter 4 Crafting Visualizations of Time-Oriented Data -- 4.1 Characterization of the Visualization Problem -- 4.1.1 What? - Time &amp -- Data -- 4.1.2 Why? - User Tasks -- 4.1.3 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 -- Chapter 5 Involving the Human via Interaction -- 5.1 Motivation &amp -- User Intents -- 5.2 Interaction Fundamentals -- 5.2.1 Conceptual Background -- 5.2.2 User Interface -- 5.3 Basic Interaction with Time-Oriented Data -- 5.3.1 Navigation in Time -- 5.3.2 Direct Manipulation -- 5.3.3 Brushing &amp -- Linking -- 5.3.4 Dynamic Queries -- 5.4 Advanced Interaction Methods -- 5.4.1 Interactive Lenses -- 5.4.2 Interactive Visual Comparison -- 5.4.3 Guiding the User -- 5.4.4 Integrating Interaction and Automation via Events -- 5.4.5 Interaction Beyond Mouse and Keyboard -- 5.5 Summary -- References -- Chapter 6 Computational Analysis Support -- 6.1 Temporal Analysis Tasks -- 6.2 Principles of Temporal Data Abstraction -- 6.3 Classification via Segmentation and Labeling -- 6.3.1 Data Classification in Medical Contexts -- 6.3.2 Segmentation and Labeling of Multivariate Time Series
• 6.3.3 Linking Temporal and Visual Abstraction -- 6.4 Clustering Time Series -- 6.5 Principal Component Analysis for Time-Oriented Data -- 6.5.1 Basic Method -- 6.5.2 Gaining Insight into Climate Data with PCA -- 6.5.3 Determining Relevant Components in Census Data -- 6.6 Summary -- References -- Chapter 7 Guiding the Selection of Visualization Techniques -- 7.1 Structuring the Space of Solutions -- 7.2 The TimeViz Browser -- 7.3 Overview of Visualization Techniques -- 7.4 Guided Search for Visualization Techniques -- 7.4.1 Example Scenarios -- 7.4.2 Towards a Multi-Faceted Selection Process -- 7.5 Summary -- References -- Chapter 8 Conclusion -- 8.1 Book Summary -- 8.2 Practical Concerns -- 8.3 From Visualization to Visual Analytics -- 8.4 Future Research Opportunities -- References -- Appendix A Survey of Visualization Techniques -- A.1 List of Techniques -- A.2 Techniques for Abstract Time-Oriented Data -- A.3 Techniques Supporting a Spatial Frame of Reference -- Appendix B Examples of Data Quality Issues -- B.1 Single-Source Problems -- B.1.1 Missing Data -- B.1.2 Duplicate Data -- B.1.3 Implausible Data -- B.1.4 Outdated Data -- B.1.5 Wrong Data -- B.1.6 Ambiguous Data -- B2 Multi-Source Problems -- B.2.1 Heterogeneous Syntaxes -- B.2.2 Heterogeneous Semantics -- B.2.3 References -- B.3 Summary -- References -- Index