Chapter 1. An Overview of Information Visualization

Authors

  • Hsuanwei Michelle Chen

Abstract

Chapter 1 of Library Technology Reports (vol. 53, no. 2), “Information Visualization”

Information visualization has become one of the prime emerging technologies due to its relevant applications as both an analytical tool and an aid to enhance and shape data interpretation and knowledge discovery in fields from the computer sciences to the humanities. With its advances and prevalence, the role of information visualization in a library setting has also gained increasing attention. The challenge exists in the knowledge that while information visualization has proved to be an effective method for data analysis, interpretation, and presentation, relatively limited resources have been provided that have a focus on serving the library community. An overview of information visualization, its application and practices in the library setting, real-world examples, and discussions of how it can be used to enhance day-to-day library work will be presented in chapter 1 of Library Technology Reports (vol. 53, no. 3), “Information Visualization.” Furthermore, insights into learning resources and opportunities for librarians and library professionals will be showcased.

Author Biography

Hsuanwei Michelle Chen

Dr. Hsuanwei Michelle Chen is an Assistant Professor in the School of Information at San José State University. Her primary areas of research and teaching interests include data mining, information visualization, social network analysis, and online user behavior. In particular, she is interested in studying the value of virtual platforms, social media, and networked environments, and the role they play in shaping online user behavior. She has published on the topics of information visualization, social media, and online user behavior in journals such as Journal of Information Technology Management, Library Management, Information Systems Research, and Decision Support Systems. She holds a BS and MS in computer science and information engineering from National Taiwan University and a PhD in information systems from the University of Texas at Austin, McCombs School of Business.

References

Michael Friendly, “Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization,” York University, Department of Mathematics and Statistics, August 24, 2009, www.math.yorku.ca/SCS/Gallery/milestone/milestone.pdf.

Stephen Few, “Data Visualization Past, Present, and Future,” Perceptual Edge, January 10, 2007, accessed September 26, 2016, https://www.perceptualedge.com/articles/Whitepapers/Data_Visualization.pdf.

Christof Koch and Naotsugu Tsuchiya, “Attention and Consciousness: Two Distinct Brain Processes,” Trends in Cognitive Sciences 11, no. 4 (2007): 16–22.

Lawrence L. Appelbaum and Anthony M. Norcia, “Attentive and Pre-attentive Aspects of Figural Processing,” Journal of Vision 9, no. 18 (2009): 1–12.

Stephen Few, Now You See It: Simple Visualization Techniques for Quantitative Analysis (Berkeley, CA: Analytics Press, 2009).

Tom Soukup and Ian Davidson, Visual Data Mining: Techniques and Tools for Data Visualization and Mining (Hoboken, NJ: Wiley, 2002).

Stuart K. Card, Jock Mackinlay, and Ben Shneiderman. Readings in Information Visualization: Using Vision to Think (San Francisco: Morgan Kaufmann, 1999).

Hal Varian, “Hal Varian on How the Web Challenges Managers,” McKinsey & Company, January 2009, www.mckinsey.com/industries/high-tech/our-insights/hal-varian-on-how-the-web-challenges-managers.

Jayanta Kr. Nayek and Dibakar Sen, “Data Literacy and Library: An Overview.” College Libraries (West Bengal College Librarians’ Association) 30, no. 1–2 (2015): 42.

Vitaly Friedman, “Data Visualization and Infographics,” Smashing Magazine, January 14, 2008, https://www.smashingmagazine.com/2008/01/monday-inspiration-data-visualization-and-infographics.

Institute of Development Studies, “Introduction to Data Visualisation,” Research to Action, August 2013, www.researchtoaction.org/wp-content/uploads/2014/02/Introduction-to-Data-Visualisation.pdf, 1.

Downloads

Published

2017-04-06

Issue

Section

Chapters