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Interactive visual data analysis

✍ Scribed by Schumann, Heidrun; Tominski, Christian


Publisher
CRC Press
Year
2020
Tongue
English
Leaves
365
Series
A.K. Peters visualization series
Category
Library

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✦ Table of Contents


Cover......Page 1
Half Title......Page 2
Series Page......Page 3
Title Page......Page 4
Copyright Page......Page 5
Dedication......Page 6
Contents......Page 8
Foreword......Page 14
Preface......Page 16
Authors......Page 18
Chapter 1: Introduction......Page 20
1.1.1 Visualization, Interaction, and Computation......Page 21
1.1.2 Five Ws of Interactive Visual Data Analysis......Page 23
1.2.1 Starting Simple......Page 24
1.2.2 Enhancing the Data Analysis......Page 27
1.2.3 Considering Advanced Techniques......Page 29
1.3 BOOK OUTLINE......Page 32
Chapter 2: Criteria, Factors, and Models......Page 34
2.1 CRITERIA......Page 35
2.2.1 The Subject: Data......Page 38
2.2.2 The Objective: Analysis Tasks......Page 47
2.2.3 The Context: Users and Technologies......Page 54
2.2.4 Demonstrating Example......Page 57
2.3.1 Design......Page 60
2.3.2 Data Transformation......Page 63
2.3.3 Knowledge Generation......Page 66
2.4 SUMMARY......Page 67
Chapter 3: Visualization Methods and Techniques......Page 70
3.1.1 Encoding Data Values......Page 73
3.1.2 Presentation......Page 81
3.2.1 Table-based Visualization......Page 86
3.2.2 Combined Bivariate Visualization......Page 88
3.2.3 Polyline-based Visualization......Page 90
3.2.4 Glyph-based Visualization......Page 92
3.2.5 Pixel-based Visualization......Page 94
3.2.6 Nested Visualization......Page 96
3.3.1 Time and Temporal Data......Page 101
3.3.2 Visualization Techniques......Page 105
3.4 VISUALIZATION OF GEO-SPATIAL DATA......Page 114
3.4.1 Geographic Space and Geo-spatial Data......Page 115
3.4.2 General Visualization Strategies......Page 118
3.4.3 Visualizing Spatio-temporal Data......Page 125
3.5.1 Graph Data......Page 130
3.5.2 Basic Visual Representations......Page 132
3.5.3 Visualizing Multi-faceted Graphs......Page 137
3.6 SUMMARY......Page 143
Chapter 4: Interacting with Visualizations......Page 148
4.1 HUMAN IN THE LOOP......Page 150
4.1.1 Interaction Intents and Action Patterns......Page 151
4.1.2 The Action Cycle......Page 154
4.2.1 Interaction Costs......Page 155
4.2.2 Directness of Interaction......Page 157
4.2.3 Design Guidelines......Page 162
4.3 BASIC OPERATIONS FOR INTERACTION......Page 163
4.3.1 Taking Action......Page 164
4.3.2 Generating Feedback......Page 165
4.4 INTERACTIVE SELECTION AND ACCENTUATION......Page 167
4.4.1 Specifying Selections......Page 168
4.4.2 Visual Emphasis and Attenuation......Page 172
4.4.3 Enhanced Selection Support......Page 175
4.5 NAVIGATING ZOOMABLE VISUALIZATIONS......Page 178
4.5.1 Basics and Conceptual Considerations......Page 179
4.5.2 Visual Interface and Interaction......Page 181
4.5.3 Interaction Aids and Visual Cues......Page 183
4.5.4 Beyond Zooming in Two Dimensions......Page 187
4.6.1 Conceptual Model......Page 192
4.6.2 Adjustable Properties......Page 195
4.6.3 Lenses in Action......Page 197
4.7.1 Basics and Requirements......Page 203
4.7.2 Naturally Inspired Comparison......Page 205
4.7.3 Reducing Comparison Costs......Page 209
4.8.1 Touching Visualizations......Page 213
4.8.2 Interacting with Tangibles......Page 216
4.8.3 Moving the Body to Explore Visualizations......Page 221
4.9 SUMMARY......Page 223
Chapter 5: Automatic Analysis Support......Page 226
5.1.1 Computing and Visualizing Density......Page 228
5.1.2 Bundling Geometrical Primitives......Page 231
5.2.1 Degree of Interest......Page 233
5.2.2 Feature-based Visual Analysis......Page 239
5.2.3 Analyzing Features of Chaotic Movement......Page 243
5.3.1 Sampling and Aggregation......Page 250
5.3.2 Exploring Multi-scale Data Abstractions......Page 252
5.4.1 Classification......Page 258
5.4.2 Data Clustering......Page 262
5.4.3 Clustering Multivariate Dynamic Graphs......Page 269
5.5 REDUCING DIMENSIONALITY......Page 276
5.5.1 Principal Component Analysis......Page 277
5.5.2 Visual Data Analysis with Principal Components......Page 279
5.6 SUMMARY......Page 282
Chapter 6: Advanced Concepts......Page 286
6.1 VISUALIZATION IN MULTI-DISPLAY ENVIRONMENTS......Page 287
6.1.1 Environment and Requirements......Page 288
6.1.2 Supporting Collaborative Visual Data Analysis......Page 289
6.1.3 Multi-display Analysis of Climate Change Impact......Page 295
6.2 GUIDING THE USER......Page 296
6.2.1 Characterization of Guidance......Page 297
6.2.2 Guiding the Navigation in Hierarchical Graphs......Page 302
6.2.3 Guiding the Visual Analysis of Heterogeneous Data......Page 305
6.3 PROGRESSIVE VISUAL DATA ANALYSIS......Page 307
6.3.1 Conceptual Considerations......Page 309
6.3.2 Multi-threading Architecture......Page 313
6.3.3 Scenarios......Page 316
6.4 SUMMARY......Page 322
7.1 WHAT’S BEEN DISCUSSED......Page 324
7.2 HOW TO CONTINUE......Page 326
Bibliography......Page 330
Index......Page 358
Figure Credits......Page 362

✦ Subjects


Daten;Visualisierung


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