Visualization Analysis and Design: Opportunities for Domestic Investments in Water and Sanitation for the Poor: Principles, Techniques, and Practice (AK Peters Visualization Series) by Tamara Munzner

Tamara Munzner . Unknown Year . English

Learn How to Design Effective Visualization Systems Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form. The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework. The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human–computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.

Categories: Art & Design

About the Author

Tamara Munzner is a professor at the University of British Columbia Department of Computer Science, where she has been since 2002. She was a research scientist from 2000 to 2002 at the Compaq Systems Research Center (the former DEC SRC), and earned her PhD from Stanford between 1995 and 2000. She was a technical staff member at the National Science Foundation Research Center for Computation and Visualization of Geometric Structures (The Geometry Center) at the University of Minnesota from 1991 to 1995. She holds a BS from Stanford from 1991. She has been active in visualization research since 1991 and has published over sixty papers and book chapters. Her research interests include the development, evaluation, and characterization of information visualization systems and techniques from both problem-driven and technique-driven perspectives. She has worked on problem-driven visualization in a broad range of application domains, including genomics, evolutionary biology, geometric topology, computational linguistics, large-scale system administration, web log analysis, and journalism. Her technique-driven interests include graph drawing and dimensionality reduction. Her evaluation interests include both controlled experiments in a laboratory setting and qualitative studies in the field. She has consulted for or collaborated with many companies including Agilent, AT&T Labs, Google, Microsoft, Silicon Graphics, and early-stage startups. Dr. Munzner was the IEEE Information Visualization (InfoVis) Program/Papers Co-Chair in 2003 and 2004, and the Eurographics/IEEE Symposium on Visualization (EuroVis) Program/Papers Co-Chair in 2009 and 2010. She is currently a member of the InfoVis Steering Committee and chair of the umbrella VIS Executive Committee that has oversight over VAST, InfoVis, SciVis, and associated symposia. She was a Member At Large of the Executive Committee of the IEEE Visualization and Graphics Technical Committee (VGTC) from 2004 through 2009, and was a founding member of the BioVis Steering Committee.

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