Animation and the Role of Map Design in Scientific Visualization

DiBiase, David; MacEachren, Alan M.; Krygier, John; Reeves, Catherine

doi:10.1559/152304092783721295

Cited by 269 publications

(155 citation statements)

References 15 publications

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“…Once the semantic primitive locus, trajectory, boundary and aggregate are accepted as ontological building blocks for the semantic transformation process, they can be straightforwardly represented graphically, using visual variables (Bertin, 1967), including the extensions proposed by MacEachren (1995) and DiBiase et al (1992). Figure 35.2 outlines how semantic primitives can be depicted as spatial metaphors in a semantic space using visual variables suggested by MacEachren (1995).…”

Section: Geometric Generalization In Spatializationmentioning

confidence: 99%

Cognitively Plausible Information Visualization

Fabrikant

Skupin

2005

Exploring Geovisualization

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Section: Geometric Generalization In Spatializationmentioning

confidence: 99%

Cognitively Plausible Information Visualization

Fabrikant

Skupin

2005

Exploring Geovisualization

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“…Frequent tasks include finding all events before, after, or during some time period or moment, and in some cases comparing periodical phenomena (Carlis and Konstan, 1998). Space-time data have also been a focus of attention in geovisualization for more than a decade (Szego, 1987;DiBiase et al, 1992;Kraak and MacEachren, 1994;Kwan, 2000) and some recent advances are discussed by Andrienko et al,this volume (Chapter 10). 3.…”

Section: -2-or 3d Datamentioning

confidence: 99%

Information Visualization and the Challenge of Universal Usability

Plaisant

2005

Exploring Geovisualization

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Information Visualization aims to provide compact graphical presentations and user interfaces for interactively manipulating large numbers of items. We present a simple "data by tasks taxonomy" then discuss the challenges of providing universal usability, with example applications using geo-referenced data. Information Visualization has been shown to be a powerful visual thinking or decision tool but it is becoming important for services to reach and empower every citizen. Technological advances are needed to deal with user diversity (age, language, disabilities, etc.) but also with the variety of technology used (screen size, network speed, etc.) and the gaps in user's knowledge (general knowledge, knowledge of the application domain, of the interface syntax or semantic). We present examples that illustrate how those challenges can be addressed. IntroductionDesigners are discovering how to use rapid and high-resolution color displays to present and manipulate large amounts of information in compact and user-controlled ways. Information Visualization can be defined as the use of computer-supported interactive visual representation of abstract data to amplify cognition (Card et al., 1999). The abstract characteristic of the data is what distinguishes Information Visualization from scientific visualization. Information Visualization is more likely to be used to display database content (for example, recorded stock values, health statistics) than.output of models or simulations, but this distinction is not always important. The display of geo-referenced data is often a hybrid visualization that combines abstract and concrete data. In fact several of the most famous examples of Information Visualization include maps, from the 1861 representation of the ill-fated Napoleon's Russian campaign by Minard (see Tufte (1983) and Kraak (undated)) to the interactive HomeFinder application shown in Figure 3.1 that introduced the concept of dynamic queries (Ahlberg et al., 1992). Information Visualization aims to provide compact graphical presentations and user interfaces for interactively manipulating large numbers of items (102-106), possibly extracted from far larger datasets (Card et al., 1999;Spence, 2001;Ware, 2000; Chen, 2002;Bederson and Shneiderman, 2003). Also sometimes called visual datamining, it uses the enormous visual bandwidth and the remarkable human visual system to enable users to make discoveries, take decisions, or propose explanations about patterns, groups of items, or individual items. Perceptual psychologists, statisticians, and graphic designers (Tufte, 1983) offer valuable advice about presenting static information, but advances in processor speed, graphic devices and dynamic displays takes user-interface designers well beyond current wisdom. This chapter presents a simple "data by tasks taxonomy" then discusses the challenges of providing "universal usability", with example applications using georeferenced data.

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“…For more information on non-temporal animation, see: (DiBiase, et al, 1992;Egbert & Slocum, 1992;Peterson, 1993). Building such a sequence is accomplished by dragging variable labels from the list in the left margin to the slots in the "build animation sequence" row.…”

Section: User-controlled Animation Sequencesmentioning

confidence: 99%

Developing Lightweight, Data-Driven Exploratory Geo-Visualization Tools for the Web

Steiner

MacEachren

Guo

2002

Advances in Spatial Data Handling

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This paper details efforts to development a set of prototype, web-based geovisualisation tools. The focus is on design and implementation of lightweight tools that can run in standard web browsers and access data, stored in a remote database. The web geo-visualisation tools incorporate several standard exploratory spatial data analysis methods, including linked brushing and interactive animation. These tools are constructed using Macromedia Flash, a commercial software application that produces content for the web using a publicly available file specification called SWF. The advantages and disadvantages of Flash for geovisualisation are discussed. One advantage is that it supports links to remote databases. Accordingly, the use of XML as the communication syntax for the geovisualisation tool-to-database link is discussed. Two solutions to dynamic database access have been implemented, one using a stand-alone Java server and the other using Java servlet technology; the advantages and disadvantages of each approach are discussed.

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Animation and the Role of Map Design in Scientific Visualization

Cited by 269 publications

References 15 publications

Cognitively Plausible Information Visualization

Cognitively Plausible Information Visualization

Information Visualization and the Challenge of Universal Usability

Developing Lightweight, Data-Driven Exploratory Geo-Visualization Tools for the Web

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