Theoretical foundations of information visualization

Helen C. Purchase, Natalia Andrienko, T. J. Jankun-Kelly, Matthew Ward

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

72 Citations (Scopus)

Abstract

The field of Information Visualization, being related to many other diverse disciplines (for example, engineering, graphics, statistical modeling) suffers from not being based on a clear underlying theory. The absence of a framework for Information Visualization makes the significance of achievements in this area difficult to describe, validate and defend. Drawing on theories within associated disciplines, three different approaches to theoretical foundations of Information Visualization are presented here: data-centric predictive theory, information theory, and scientific modeling. Definitions from linguistic theory are used to provide an over-arching framework for these three approaches.

Original languageEnglish
Title of host publicationInformation Visualization - Human-Centered Issues and Perspectives
PublisherSpringer
Pages46-64
Number of pages19
ISBN (Print)354070955X, 9783540709558
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventInformation Visualization - Human-Centered Issues in Visual Representation, Interaction, and Evaluation - Dagstuhl Castle, Germany
Duration: 28 May 20071 Jun 2007

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume4950
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInformation Visualization - Human-Centered Issues in Visual Representation, Interaction, and Evaluation
Country/TerritoryGermany
CityDagstuhl Castle
Period28/05/071/06/07

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