Foreword by Jarke J. van Wijk. Preface. Author Bios. 1. Introduction. 2. Criteria, Factors, and Models. 3. Visualization Methods and Techniques. 4. Interacting with Visualizations. 5. Automatic Analysis Support. 6. Advanced Concepts. 7. Summary. Bibliography. Index. Figure Credits
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 Heidrun’s 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.
"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
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