Christophe Hurter, Alexandru Telea, Bernice E. Rogowitz · Human-Computer Interaction · 2024
Information visualization (infovis) applications deal with the visual presentation and interactive exploration of data collections, which are non-spatial, abstract, and consisting of samples drawn from typically discontinuous data domains. In the past two decades, infovis has established itself as a separate field of expertise in the larger data visualization domain. Hundreds of methods and techniques have been proposed for the visualization of data as diverse as multivariate time series, high-dimensional point clouds, text, relations (networks, graphs, and hierarchies), and combinations thereof. At the same time, to support various exploration scenarios, use cases, and user types, many interaction methods have been developed, e.g., tooltips and free-form selection, semantic zooming and magic lenses, as well as methods based on multimodal interfaces including virtual reality, augmented reality, and tactile devices. This entire spectrum of techniques contributes to, but is not sufficient for, building an infovis application that efficiently and effectively caters for its intended users. To achieve this goal, many additional aspects need to be considered. Following this book’s topic, we focus here on aspects pertaining to usability, inclusion, and sustainability.
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Chris North · 2012
This chapter contains sections titled: Introduction Visualization Pipeline Information Structure Overview Strategies Navigation Strategies Interaction Strategies Visual Analytics The Future References
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Johanna Drucker · 2021
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Chaomei Chen · Wiley Interdisciplinary Reviews Computational Statistics · 2010
Abstract This overview introduces the key structure of the field of information visualization, a number of influential exemplars in the field, and challenging as well as promising directions of future developments. The focus is on explaining some of the most fundamental concepts, prominent approaches, and commonly held criteria. The overview also aims to point out theoretical and practical challenges that the community as a whole has been addressing. Copyright © 2010 John Wiley & Sons, Inc. This article is categorized under: Algorithms and Computational Methods > Computer Graphics
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R. Spence · 2001
<p>Many people and institutions possess considerable volumes of data which may'hide'some fundamental relation which could be exploited to advantage: estate agents, banks, medical researchers, fraud investigators and many others would like to be able to view some graphical presentation of that data and perhaps interact with it and, at some point, be able to say "Ah Ha! Now that is interesting!" That is what Information Visualization is all about: it is the process of forming a mental model of data, thereby supporting insight into that data. </p>
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2006
Information visualization is not only about creating graphical displays of complex and latent information structures; it contributes to a broader range of cognitive, social, and collaborative activiti
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2012
Because it is now easier to create visually pleasing graphics, because there is so much data to manage and understand, and because tools such as spreadsheets have finite limits in their ability to convey meaning, information visualization is a rich area, particularly linked as it usually is with ideas of information analytics. The field of information visualization has evolved rapidly. Several factors help explain this development—supply, demand, and the audience. Today, each of these elements is changing rapidly, with broad consequences. Good information visualizations remain rare. For information to convey meaning in standard, predictable ways, one needs tools, as in grammars and lexicons rather than more widgets. Somewhat paradoxically, the path to better visualizations will be paved not with software but with words.
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Daniel A. Keim · Elsevier eBooks · 2005
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L. Miguel Encarnação · IEEE Computer Graphics and Applications · 2017
In addition to many fine department contributions, this issue contains several feature articles from the CG&A general queue on information visualization and visual analytics.
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The SAGE Encyclopedia of Educational Technology · 2015
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Reda Alhajj, Jon Rokne · 2014
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2016
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Guy Mélançon · Cairn.info · 2026
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Olmeda-Gómez, Carlos · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2014
This overview introduces and synthesizes some basic concepts of the broad spectrum of information visualization, providing examples with geospatial, relational and textual data from a demanding discipline. The concepts are discussed and the examples illustrate some practices and criteria.
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Neo, Tao You. · DR-NTU (Nanyang Technological University) · 2011
Information Visualization is defined as the communication of information using graphical representations. It has become part and parcel of our everyday life as well as research purposes, helping people tremendously in information understanding. Although an effective visualization is very useful for the user, a poor visualization will hinder the user’s understanding of the information, and may even deceive the user. \nThe main goal this project is to collect a sample data and visualize it effectively. In order to do this, we will first understand the knowledge and techniques involved in creating an effective visualization, starting with data collection and ending with the image seen by the user. A visualization technique that best suits the data will be chosen and implemented. It will then be evaluated.
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Pradipta Biswas · 2026
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Stuart Card · Human factors and ergonomics · 2007
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Chaomei Chen · Information Visualization · 2002
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Shashi Shekhar, Hui Xiong · Encyclopedia of GIS · 2008
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Ling, Daniel Hock Hin · DR-NTU (Nanyang Technological University) · 2014
Often in schools, students are given the opportunity to learn about plants under General Science. This project goes through the information visualization process on plant dataset. Choropleth map, heat matrix and coordinated view were integrated into a webpage and presented as a potential tool for educational purposes. The implemented visualizations were fairly effective, able to maximize space and minimize noise. Performance and memory utilization are some of the non-critical aspects, which may require further improvement.
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