Visualization Concepts: Overview

 

Current exploitation of information accessible by computer: a fraction ! Future increase of data rates expected

=> Need for systematic strategies (concepts, methodologies, intelligent visualization systems) to exploit data [ROB94]


Two strategies


Use of mapping constraints

Arising from


Data characteristics

Data characteristics include


Interpretation aims

Interpretation aims are defined by the viewer(s), e.g., for


Abilities and desires of user

Restrictions by

[DOM94]


Available software and hardware

Restrictions by


"Meaningful pictures"

Coherent visual representations

Use of appropriate visual attributes (visual cues)


Approaches to systematic strategies: Overview


Selected concepts of visualization systems

Mackinlay (APT)

A Presentation Tool [MAC86]

Automatic 2-d discrete data presentation of relational information


Roth and Mattis (SAGE)

SAGE [ROT90]

Includes components for constructive design of graphics (SageBrush) and retrieval of graphics (SageBook).


Casner (BOZ)

[CAS91]

Approach from task analysis

Operating on relational database to produce 2-d graphics


Senay and Ignatius (VISTA)

VISualization Tool Assistant: extension to 3d visualizations [SEN94]

Knowledge-based system to automatically design visualizations


Robertson (NSP)

Natural Scene Paradigm [ROB91]

=>assures coherency through top-down design of complex scenes

=>assures problem-free interpretation through perceptual skills of humans


Wehrend and Lewis (Catalog of Visualizations)

Classification of simple and complex visualization techniques [WEH90]

Categorize each visualization technique by:

"Catalog of visualization techniques": large 2-d matrix to identify meaningful visualization techniques for a pair of (attribute/operation).


Haber and McNabb

Visualization process is series of transformations to convert raw simulated data into a displayable image:

Visualization idiom: "a specific sequence of data enrichment and enhancement transformations, visualization mappings and rendering transformations that produce an abstract display of a scientific data set".


Beshers and Feiner (AutoVisual)

Rule-based design of interactive multivariate visualizations (n-Vision) [BES93]


Robertson, Card and Mackinlay (Information Visualizer)

Paradigm to optimize cost structure for finding and accessing information [ROB93]

Information workspaces characterized by

Sample visualization techniques: Cone trees, Perspective Wall, 3D/Rooms


Visualization Concepts
HyperVis Table of Contents

Last modified on February 11, 1999, G. Scott Owen, owen@siggraph.org