16. Visualizing Scientific Data and Information: Focusing on the Physical and Natural Sciences

Full Day / Intermediate

This course demonstrates the application of visualization tools and interactive techniques for examination and interpretation of scientific datasets. Highly illustrative atmospheric, oceanographic, and geographic examples are demonstrated in real time. Also highlighted: the process of developing effective visualization paradigms for supporting high-speed networking, database management, heterogenous computing platforms, user interface design, collaborative computing, science education, implementation of animation techniques, convergence of visualization methods with the World Wide Web, and the relationship between animation techniques and scientific information exploration.

Who Should Attend
Scientific researchers, educators, and computer graphics specialists interested in exploring particular issues associated with handling visual display of scientific information and large scientific datasets. Experience with scientific visualization systems and terminology is helpful, as well as understanding of graphics programming.

Theresa-Marie Rhyne
Lockheed Martin/ US EPA Visualization Center

Mike Botts
University of Alabama in Huntsville

Bill Hibbard
University of Wisconsin-Madison

Lloyd Treinish
IBM Corporation


8:30 am: Introduction/Course Organization Remarks - Rhyne

8:35 am: Topic #1 - Classifying and Modeling Scientific Data - Hibbard

9:20 am: Case Study/Hands-on Demo for Topic 1 - Rhyne

Photochemical Modeling (Acid Rain)
(AVS & WWW demonstrations for examining air pollution control, policy analysis and decision making.)

10:00 am: Break

10:15 am: Topic #2 - Techniques for Examining Multiple Data Sets and Solutions for Data Management - Treinish

11:00 am: Case Study/Hands-on Demo for Topic 2 - Botts

The InterUse Experiment: an interactive tool for Geolocation and Visually comparing data

12:00 noon: Break

1:30 pm: Topic #3 - Collaborative Computing and Integrated Decision Support - Rhyne

Tools for Scientific Visualization

2:15 pm: Case Study/Hands-on Demo for Topic 3 - Treinish

Correlative Visualization Techniques for Disparate Data
(IBM Data Explorer based demonstration for looking at ozone depletion and its relationship to other characteristics of the earth's atmosphere.)

3:00 pm: Break

3:15 pm: Topic #4 - Maintaining Interactivity in Visualizing Large Data Sets - Botts

4:00 pm: Case Study/Hands-on Demo for Topic 4 - Hibbard

Interactively Visualizing and Steering Computations
(Vis5D and/or VisAD demonstration for examining atmospheric and oceanographic models and data sets.)

4:30 pm: Wrap-Up Discussion - All

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