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Effective data visualization : from design fundamentals to big data techniques
Heer, Jeffrey Michael[Place of publication not identified] : O'Reilly Media, [2014]"Learn the methods you need to bring data to life through effective visualizations. In this video course, host Jeffrey Heer--co-founder of Trifacta--takes you through best practices for designing interactive visualizations, performing exploratory data analysis, and examining multidimensional data. You'll begin by learning the value of visualization, through design principles drawn from graphic design, visual art, perceptual psychology, and cognitive science. Using Trifacta's data transformation tools to illustrate some of the concepts, you'll also learn techniques for scaling visualizations to extremely large data sets."--Resource description page.
Online Safari Books Online
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Eye tracking and visualization : foundations, techniques, and applications : ETVIS 2015
Cham, Switzerland : Springer, [2017]This book discusses research, methods, and recent developments in the interdisciplinary field that spans research in visualization, eye tracking, human-computer interaction, and psychology. It presents extended versions of papers from the First Workshop on Eye Tracking and Visualization (ETVIS), which was organized as a workshop of the IEEE VIS Conference 2015. Topics include visualization and visual analytics of eye-tracking data, metrics and cognitive models, eye-tracking experiments in the context of visualization interfaces, and eye tracking in 3D and immersive environments. The extended ETVIS papers are complemented by a chapter offering an overview of visualization approaches for analyzing eye-tracking data and a chapter that discusses electrooculography (EOG) as an alternative of acquiring information about eye movements. Covering scientific visualization, information visualization, and visual analytics, this book is a valuable resource for eye-tracking researchers within the visualization community.
Online SpringerLink
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Trends in interactive visualization : state-of-the-art survey
London : Springer, ©2009.This unique, multi-disciplinary volume provides an insight into an active and vital area of research - Interactive Visualization. Interactive Visualization enables the development of new scientific techniques to view data, and to use interaction capabilities to interrogate and navigate through datasets and better communicate the results. A wide range of topics are covered in this important new book, representing the state of the art in this research area and providing a special emphasis on: - Advanced data representation; - Integration of visualization and modelling techniques; - Novel user interfaces for data exploration and analysis; - Virtual environments and collaborative visualization; - Design and evaluation of interactive visualization tools and systems. Students and researchers in scientific and information visualization, virtual reality, human-computer interaction, interface and interaction design, computer graphics and multimedia will find the book an excellent survey of this exciting field.II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. This section consists of four chapters. Binh Pham, Alex Streit, and Ross Brown provide a comprehensive requirement analysis of information uncertainty visualizations. They examine the sources of uncertainty, review aspects of its complexity, introduce typical models of uncertainty, and analyze major issues in visualization of uncertainty, from various user and task perspectives. Alfred Inselberg examines challenges in the multivariate data analysis. He explains how relations among multiple variables can be mapped uniquely into ?-space subsets having geometrical properties and introduces Parallel Coordinates meth- ology for the unambiguous visualization and exploration of a multidimensional geometry and multivariate relations. Christiaan Gribble describes two alternative approaches to interactive particle visualization: one targeting desktop systems equipped with programmable graphics hardware and the other targeting moderately sized multicore systems using pack- based ray tracing. Finally, Christof Rezk Salama reviews state-of-the-art strategies for the assignment of visual parameters in scientific visualization systems. He explains the process of mapping abstract data values into visual based on transfer functions, clarifies the terms of pre- and postclassification, and introduces the state-of-the-art user int- faces for the design of transfer functions.
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