Interactive visual data analysis / Christian Tominski, Heidrun Schumann.

Format:

Book

Author/Creator:

Tominski, Christian, author.

Schumann, Heidrun, author.

Series:

K Peters visualization series.

AK Peters visualization series

Language:

English

Subjects (All):

Information visualization.

Visual analytics.

Big data.

Physical Description:

xvii, 345 pages : illustrations (colour) ; 24 cm.

Place of Publication:

Boca Raton, FL : CRC Press, [2020]

Contents:

1.1.1 Visualization, Interaction, and Computation p. 2

1.1.2 Five Ws of Interactive Visual Data Analysis p. 4

1.2 Introductory Examples p. 5

1.2.1 Starting Simple p. 5

1.2.2 Enhancing the Data Analysis p. 8

1.2.3 Considering Advanced Techniques p. 10

1.3 Book Outline p. 13

Chapter 2 Criteria, Factors, and Models p. 15

2.1 Criteria p. 16

2.2 Influencing Factors p. 19

2.2.1 The Subject: Data p. 19

2.2.2 The Objective: Analysis Tasks p. 28

2.2.3 The Context: Users and Technologies p. 35

2.2.4 Demonstrating Example p. 38

2.3 Process Models p. 41

2.3.1 Design p. 41

2.3.2 Data Transformation p. 44

2.3.3 Knowledge Generation p. 47

Chapter 3 Visualization Methods and Techniques p. 51

3.1 Visual Encoding and Presentation p. 54

3.1.1 Encoding Data Values p. 54

3.2 Multivariate Data Visualization p. 67

3.2.1 Table-based Visualization p. 67

3.2.2 Combined Bivariate Visualization p. 69

3.2.3 Polyline-based Visualization p. 71

3.2.4 Glyph-based Visualization p. 73

3.2.5 Pixel-based Visualization p. 75

3.2.6 Nested Visualization p. 77

3.3 Visualization of Temporal Data p. 82

3.3.1 Time and Temporal Data p. 82

3.3.2 Visualization Techniques p. 86

3.4 Visualization of Geo-Spatial Data p. 95

3.4.1 Geographic Space and Geo-spatial Data p. 96

3.4.2 General Visualization Strategies p. 99

3.4.3 Visualizing Spatio-temporal Data p. 106

3.5 Graph Visualization p. 111

3.5.1 Graph Data p. 111

3.5.2 Basic Visual Representations p. 113

3.5.3 Visualizing Multi-faceted Graphs p. 118

Chapter 4 Interacting with Visualizations p. 129

4.1 Human in the Loop p. 131

4.1.1 Interaction Intents and Action Patterns p. 132

4.1.2 The Action Cycle p. 135

4.2 Requirements for Efficient Interaction p. 136

4.2.1 Interaction Costs p. 136

4.2.2 Directness of Interaction p. 138

4.2.3 Design Guidelines p. 143

4.3 Basic Operations for Interaction p. 144

4.3.1 Taking Action p. 145

4.3.2 Generating Feedback p. 146

4.4 Interactive Selection and Accentuation p. 148

4.4.1 Specifying Selections p. 149

4.4.2 Visual Emphasis and Attenuation p. 153

4.4.3 Enhanced Selection Support p. 156

4.5 Navigating Zoomable Visualizations p. 159

4.5.1 Basics and Conceptual Considerations p. 160

4.5.2 Visual Interface and Interaction p. 162

4.5.3 Interaction Aids and Visual Cues p. 164

4.5.4 Beyond Zooming in Two Dimensions p. 168

4.6 Interactive Lenses p. 173

4.6.1 Conceptual Model p. 173

4.6.2 Adjustable Properties p. 176

4.6.3 Lenses in Action p. 178

4.7 Interactive Visual Comparison p. 184

4.7.1 Basics and Requirements p. 184

4.7.2 Naturally Inspired Comparison p. 186

4.7.3 Reducing Comparison Costs p. 190

4.8 Interaction Beyond Mouse and Keyboard p. 194

4.8.1 Touching Visualizations p. 194

4.8.2 Interacting with Tangibles p. 197

4.8.3 Moving the Body to Explore Visualizations p. 202

Chapter 5 Automatic Analysis Support p. 207

5.1 Decluttering Visual Representations p. 209

5.1.1 Computing and Visualizing Density p. 209

5.1.2 Bundling Geometrical Primitives p. 212

5.2 Focusing on Relevant Data p. 214

5.2.1 Degree of Interest p. 214

5.2.2 Feature-based Visual Analysis p. 220

5.2.3 Analyzing Features of Chaotic Movement p. 224

5.3 Abstracting Data p. 231

5.3.1 Sampling and Aggregation p. 231

5.3.2 Exploring Multi-scale Data Abstractions p. 233

5.4 Grouping Similar Data Elements p. 239

5.4.1 Classification p. 239

5.4.2 Data Clustering p. 243

5.4.3 Clustering Multivariate Dynamic Graphs p. 250

5.5 Reducing Dimensionality p. 257

5.5.1 Principal Component Analysis p. 258

5.5.2 Visual Data Analysis with Principal Components p. 260

Chapter 6 Advanced Concepts p. 267

6.1 Visualization in Multi-Display Environments p. 268

6.1.1 Environment and Requirements p. 269

6.1.2 Supporting Collaborative Visual Data Analysis p. 270

6.1.3 Multi-display Analysis of Climate Change Impact p. 276

6.2 Guiding the User p. 277

6.2.1 Characterization of Guidance p. 278

6.2.2 Guiding the Navigation in Hierarchical Graphs p. 283

6.2.3 Guiding the Visual Analysis of Heterogeneous Data p. 286

6.3 Progressive Visual Data Analysis p. 288

6.3.1 Conceptual Considerations p. 290

6.3.2 Multi-threading Architecture p. 294

7.1 What's Been Discussed p. 305

7.2 How to Continue p. 307.

Notes:

"An A K Peters book".

Includes bibliographical references and index.

Other Format:

Ebook version :

ISBN:

9781498753982

1498753981

9780367898755

0367898756

OCLC:

1091645851

Publisher Number:

99987451349