Information Visualization Methods and Techniques Using Web Services

Date of Award

Spring 2006

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computational Modeling & Simulation Engineering

Program/Concentration

Modeling and Simulation

Committee Director

Andreas Tolk

Committee Member

James Bliss

Committee Member

Rick McKenzie

Call Number for Print

Special Collections LD4331.E53 D87 2006

Abstract

Data, even in small amounts, can be difficult to interpret quickly and efficiently. Data domains are continually expanding and making this data available and usable in collaborative data environment is a challenge that was not addressed by legacy systems. Such a framework would make the existence of a global information sharing system feasible. Visualizing this complex dataset presents a complex task for current static interface solutions. A flexible layered service oriented model is presented in this work to approach this challenge. The visual scope of human perception is largely untapped by today's data visualization applications. Human mental processes are adept at operating on, identifying, and relating symbolic information. Another obstacle to effective information visualization is the subjectivity of user interpretations, which makes a cure-all interface virtually nonexistent. Most generalizations are not useful because interface conventions are highly restricted by the data type that must be visualized. Concepts and methods within the visualization domain should reduce user mental costs, allow quick navigation of data and allow the user control over their "data perspective."

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

DOI

10.25777/kzzd-vw38

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