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Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

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Graphical presentation of results from scientific computer models.

T E Graedel, R McGill

Science (New York, N.Y.)

|March 5, 1982

Summary

Visualizing complex computer model results is crucial for understanding. This review covers graphical techniques, including chromatic plots, for presenting multidimensional data, especially in urban air quality modeling.

Area of Science:

Environmental Science
Computer Science
Data Visualization

Background:

Effective communication of complex computer model results is essential for data interpretation.
Graphical presentations are key to extracting maximum information from model outputs.
The use of color graphics is growing for visualizing model results.

Purpose of the Study:

To review graphical techniques for presenting multidimensional model results.
To provide examples of effective presentation forms.
To discuss specific color display types for model visualization.

Main Methods:

Review of graphical techniques for multidimensional data.
Illustration of presentation methods with examples.
Discussion of chromatic, binary chromatic, and ternary chromatic plots.

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Main Results:

Graphical presentation significantly enhances the understanding of complex model outputs.
Chromatic plots, including binary and ternary variations, offer effective ways to display multidimensional data.
These techniques are particularly useful for visualizing urban air quality model results.

Conclusions:

Appropriate graphical techniques are vital for interpreting complex computer model results.
Color graphics, specifically chromatic plots, provide powerful tools for multidimensional data visualization.
The discussed methods are applicable to environmental modeling, such as urban air quality analysis.