An information-theoretic view of visual analytics

Chaomei Chen

Research output: Contribution to journalReview articlepeer-review

20 Citations (Scopus)

Abstract

Visual analytics is an emerging discipline that helps connect dots. It facilitates analytical reasoning and decision making through integrated and highly interactive visualization of complex and dynamic data and situations. Solving mysteries is only part of the game. Visual analytics must augment analyst and decision-maker capabilities to assimilate complex situations and reach informed decisions. Information theory offers a framework for keeping focused on the right questions.

Original languageEnglish
Pages (from-to)18-23
Number of pages6
JournalIEEE Computer Graphics and Applications
Volume28
Issue number1
DOIs
Publication statusPublished - 2008 Jan

Bibliographical note

Funding Information:
I am grateful for insightful comments from Alan M. MacEachren and anonymous reviewers on an earlier version of this article. The work is supported by the National Science Foundation under the grant IIS-0612129 and the Northeast Visualization and Analytics Center (NEVAC).

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

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