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Interactive Visual Data Analysis [Pehme köide]

(University of Rostock, Germany), (University of Rostock, Institute of Computer Science, Germany)
  • Formaat: Paperback / softback, 346 pages, kõrgus x laius: 234x156 mm, kaal: 670 g, 8 Tables, color; 217 Illustrations, color
  • Sari: AK Peters Visualization Series
  • Ilmumisaeg: 30-Apr-2020
  • Kirjastus: CRC Press
  • ISBN-10: 0367898756
  • ISBN-13: 9780367898755
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Interactive Visual Data AnalysisSuurem pilt
  • Formaat: Paperback / softback, 346 pages, kõrgus x laius: 234x156 mm, kaal: 670 g, 8 Tables, color; 217 Illustrations, color
  • Sari: AK Peters Visualization Series
  • Ilmumisaeg: 30-Apr-2020
  • Kirjastus: CRC Press
  • ISBN-10: 0367898756
  • ISBN-13: 9780367898755
Teised raamatud teemal:
Teised raamatud sellest sooduspakkumisest: Taylor & Francis teadusraamatud International Student Editions hindadega
Püsilink: https://www.kriso.ee/db/9780367898755.html
Märksõnad:

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.

The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.

The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains.

Features:

  • Dedicated to the synthesis of visual, interactive, and analysis methods
  • Systematic top-down view on visualization, interaction, and automatic analysis
  • Broad coverage of fundamental and advanced visualization techniques
  • Comprehensive chapter on interacting with visual representations
  • Extensive integration of automatic computational methods
  • Accessible portrayal of cutting-edge visual analytics technology

For more information, you can also visit the author website, where the book's figures will be made available under the CC BY Open Access license: https://ivda-book.de/

Arvustused

"What a joy! A book on Interactive Data Analysis was long overdue! The research community has produced a wealth of knowledge and techniques in the last 20 years that are not necessarily known to students, instructors and practitioners. This knowledge is for the most buried in hard-to-find papers and conference presentations. Tominski and Schumann, acknowledged scholars in the field, arranged brilliantly this whole set of principles, methods, and techniques in an intuitive and easy to read framework. I am looking forward to sharing this book with my colleagues and my students!" --Professor Enrico Bertini, NYU School of Engineering

"Christian Tominski and Heidrun Schumann give an excellent, encompassing introduction to concepts and techniques for the visual analysis of data. Their book stands out for its concise, integrated coverage of the main approaches for visual representation of and interaction with data, and automatic data analysis support. The work is very accessible and very well suited for classroom use. It is also an inspiring read for practitioners who wish to apply visual data analysis techniques to solve problems in business, engineering, science, and many other domains." --Professor Tobias Schreck, Institute of Computer Graphics and Knowledge Visualization, Graz University of Technology

"There is something sublime in the interplay between images and interaction. As a long-time student of visualization research, it seems to me that visualization for data analysis only comes into its own when interaction and visuals are seamlessly blended and supported with appropriate computational resources. Tominski and Schumann's Interactive Visual Data Analysis captures the essence of this rich synergy perfectly by showing how modern interactive visual analysis systems can be designed and built. For this reason, this book fills an important need for both students and practitioners looking to learn that most powerful yet elusive of data visualization concepts: visual analytics. I highly recommend this book, and will be looking to adopt it for my own visual analytics classes." --Professor Niklas Elmqvist, College of Information Studies, University of Maryland

"The new book by C. Tominski and H. Schumann is a highlight: a concise, thorough and systematic introductory book on visualization with its links to data analysis and interaction. It is obviously based on the substantial experience of the authors in research and solving real-world problems. The tight connection between visual interfaces and visualization techniques is discussed in an impressive manner, including recent interaction styles and devices. Careful discussions of many visualization techniques enable the reader to critically analyze existing visualizations and to design appropriate and effective visualizations. The book is compact, and it provides orientation and guidance by a clear structure. It is also motivating, among others based on a careful selection of convincing figures. I will strongly recommend the book to the students of my bachelor course on visualization." -- Professor Bernhard Preim, Department of Simulation and Graphics, Otto-von-Guericke-University "What a joy! A book on Interactive Data Analysis was long overdue! The research community has produced a wealth of knowledge and techniques in the last 20 years that are not necessarily known to students, instructors and practitioners. This knowledge is for the most buried in hard-to-find papers and conference presentations. Tominski and Schumann, acknowledged scholars in the field, arranged brilliantly this whole set of principles, methods, and techniques in an intuitive and easy to read framework. I am looking forward to sharing this book with my colleagues and my students!" --Professor Enrico Bertini, NYU School of Engineering

"Christian Tominski and Heidrun Schumann give an excellent, encompassing introduction to concepts and techniques for the visual analysis of data. Their book stands out for its concise, integrated coverage of the main approaches for visual representation of and interaction with data, and automatic data analysis support. The work is very accessible and very well suited for classroom use. It is also an inspiring read for practitioners who wish to apply visual data analysis techniques to solve problems in business, engineering, science, and many other domains." --Professor Tobias Schreck, Institute of Computer Graphics and Knowledge Visualization, Graz University of Technology

"There is something sublime in the interplay between images and interaction. As a long-time student of visualization research, it seems to me that visualization for data analysis only comes into its own when interaction and visuals are seamlessly blended and supported with appropriate computational resources. Tominski and Schumann's Interactive Visual Data Analysis captures the essence of this rich synergy perfectly by showing how modern interactive visual analysis systems can be designed and built. For this reason, this book fills an important need for both students and practitioners looking to learn that most powerful yet elusive of data visualization concepts: visual analytics. I highly recommend this book, and will be looking to adopt it for my own visual analytics classes." --Professor Niklas Elmqvist, College of Information Studies, University of Maryland

"The new book by C. Tominski and H. Schumann is a highlight: a concise, thorough and systematic introductory book on visualization with its links to data analysis and interaction. It is obviously based on the substantial experience of the authors in research and solving real-world problems. The tight connection between visual interfaces and visualization techniques is discussed in an impressive manner, including recent interaction styles and devices. Careful discussions of many visualization techniques enable the reader to critically analyze existing visualizations and to design appropriate and effective visualizations. The book is compact, and it provides orientation and guidance by a clear structure. It is also motivating, among others based on a careful selection of convincing figures. I will strongly recommend the book to the students of my bachelor course on visualization." -- Professor Bernhard Preim, Department of Simulation and Graphics, Otto-von-Guericke-University

Foreword xiii
Preface xv
Authors xvii
Chapter 1 Introduction
1(14)
1.1 Basic Considerations
2(3)
1.1.1 Visualization, Interaction, and Computation
2(2)
1.1.2 Five Ws of Interactive Visual Data Analysis
4(1)
1.2 Introductory Examples
5(8)
1.2.1 Starting Simple
5(3)
1.2.2 Enhancing the Data Analysis
8(2)
1.2.3 Considering Advanced Techniques
10(3)
1.3 Book Outline
13(2)
Chapter 2 Criteria, Factors, and Models
15(36)
2.1 Criteria
16(3)
2.2 Influencing Factors
19(22)
2.2.1 The Subject: Data
19(9)
2.2.2 The Objective: Analysis Tasks
28(7)
2.2.3 The Context: Users and Technologies
35(3)
2.2.4 Demonstrating Example
38(3)
2.3 Process Models
41(7)
2.3.1 Design
41(3)
2.3.2 Data Transformation
44(3)
2.3.3 Knowledge Generation
47(1)
2.4 Summary
48(3)
Chapter 3 Visualization Methods and Techniques
51(78)
3.1 Visual Encoding And Presentation
54(13)
3.1.1 Encoding Data Values
54(8)
3.1.2 Presentation
62(5)
3.2 Multivariate Data Visualization
67(15)
3.2.1 Table-based Visualization
67(2)
3.2.2 Combined Bivariate Visualization
69(2)
3.2.3 Polyline-based Visualization
71(2)
3.2.4 Glyph-based Visualization
73(2)
3.2.5 Pixel-based Visualization
75(2)
3.2.6 Nested Visualization
77(5)
3.3 Visualization Of Temporal Data
82(13)
3.3.1 Time and Temporal Data
82(4)
3.3.2 Visualization Techniques
86(9)
3.4 Visualization Of Geo-Spatial Data
95(16)
3.4.1 Geographic Space and Geo-spatial Data
96(3)
3.4.2 General Visualization Strategies
99(7)
3.4.3 Visualizing Spatio-temporal Data
106(5)
3.5 Graph Visualization
111(13)
3.5.1 Graph Data
111(2)
3.5.2 Basic Visual Representations
113(5)
3.5.3 Visualizing Multi-faceted Graphs
118(6)
3.6 Summary
124(5)
Chapter 4 Interacting with Visualizations
129(78)
4.1 Human In The Loop
131(5)
4.1.1 Interaction Intents and Action Patterns
132(3)
4.1.2 The Action Cycle
135(1)
4.2 Requirements For Efficient Interaction
136(8)
4.2.1 Interaction Costs
136(2)
4.2.2 Directness of Interaction
138(5)
4.2.3 Design Guidelines
143(1)
4.3 Basic Operations For Interaction
144(4)
4.3.1 Taking Action
145(1)
4.3.2 Generating Feedback
146(2)
4.4 Interactive Selection And Accentuation
148(11)
4.4.1 Specifying Selections
149(4)
4.4.2 Visual Emphasis and Attenuation
153(3)
4.4.3 Enhanced Selection Support
156(3)
4.5 Navigating Zoomable Visualizations
159(14)
4.5.1 Basics and Conceptual Considerations
160(2)
4.5.2 Visual Interface and Interaction
162(2)
4.5.3 Interaction Aids and Visual Cues
164(4)
4.5.4 Beyond Zooming in Two Dimensions
168(5)
4.6 Interactive Lenses
173(11)
4.6.1 Conceptual Model
173(3)
4.6.2 Adjustable Properties
176(2)
4.6.3 Lenses in Action
178(6)
4.7 Interactive Visual Comparison
184(10)
4.7.1 Basics and Requirements
184(2)
4.7.2 Naturally Inspired Comparison
186(4)
4.7.3 Reducing Comparison Costs
190(4)
4.8 Interaction Beyond Mouse And Keyboard
194(10)
4.8.1 Touching Visualizations
194(3)
4.8.2 Interacting with Tangibles
197(5)
4.8.3 Moving the Body to Explore Visualizations
202(2)
4.9 Summary
204(3)
Chapter 5 Automatic Analysis Support
207(60)
5.1 Decluttering Visual Representations
209(5)
5.1.1 Computing and Visualizing Density
209(3)
5.1.2 Bundling Geometrical Primitives
212(2)
5.2 Focusing On Relevant Data
214(17)
5.2.1 Degree of Interest
214(6)
5.2.2 Feature-based Visual Analysis
220(4)
5.2.3 Analyzing Features of Chaotic Movement
224(7)
5.3 Abstracting Data
231(8)
5.3.1 Sampling and Aggregation
231(2)
5.3.2 Exploring Multi-scale Data Abstractions
233(6)
5.4 Grouping Similar Data Elements
239(18)
5.4.1 Classification
239(4)
5.4.2 Data Clustering
243(7)
5.4.3 Clustering Multivariate Dynamic Graphs
250(7)
5.5 Reducing Dimensionality
257(6)
5.5.1 Principal Component Analysis
258(2)
5.5.2 Visual Data Analysis with Principal Components
260(3)
5.6 Summary
263(4)
Chapter 6 Advanced Concepts
267(38)
6.1 Visualization In Multi-Display Environments
268(9)
6.1.1 Environment and Requirements
269(1)
6.1.2 Supporting Collaborative Visual Data Analysis
270(6)
6.1.3 Multi-display Analysis of Climate Change Impact
276(1)
6.2 Guiding The User
277(11)
6.2.1 Characterization of Guidance
278(5)
6.2.2 Guiding the Navigation in Hierarchical Graphs
283(3)
6.2.3 Guiding the Visual Analysis of Heterogeneous Data
286(2)
6.3 Progressive Visual Data Analysis
288(15)
6.3.1 Conceptual Considerations
290(4)
6.3.2 Multi-threading Architecture
294(3)
6.3.3 Scenarios
297(6)
6.4 Summary
303(2)
Chapter 7 Summary
305(6)
7.1 What's Been Discussed
305(2)
7.2 How To Continue
307(4)
Bibliography 311(28)
Index 339(4)
Figure Credits 343
Christian Tominski is a researcher and lecturer at the Institute for Visual & Analytic Computing at the University of Rostock, Germany. He received doctoral (Dr.-Ing.) and post-doctoral (Dr.-Ing. habil.) degrees in 2006 and 2015, respectively. His main research interests are in visualization of and interaction with data. He is particularly interested in effective and efficient techniques for interactively exploring and editing complex data. Christian has published numerous papers on new visualization and interaction techniques for multivariate data, temporal data, geo-spatial data, and graphs. He co-authored two books on the visualization of time-oriented data in 2011 and on interaction for visualization in 2015. Christian has developed several visualization systems and tools, including the LandVis system for spatio-temporal health data, the VisAxes tool for time-oriented data, and the CGV system for coordinated graph visualization.

Heidrun Schumann is a professor at the University of Rostock, Germany, where she is heading the Chair of Computer Graphics at the Institute for Visual & Analytic Computing. She received doctoral degree (Dr.-Ing.) in 1981 and post-doctoral degree (Dr.-Ing. habil.) in 1989. Her research and teaching activities cover a variety of topics related to computer graphics, including information visualization, visual analytics, and rendering. She is interested in visualizing complex data in space and time, combining visualization and terrain rendering, and facilitating visual data analysis with progressive methods. A key focus of Heidruns work is to intertwine visual, analytic, and interactive methods for making sense of data. Heidrun published more than two hundred articles in top venues and journals. She co-authored the first German textbook on data visualization in 2000 and a textbook specifically on the visualization of time-oriented data in 2011. In 2014, Heidrun was elected as a Fellow of the Eurographics Association.