A Framework for Multiclass Contour Visualization

Multiclass contour visualization is often used to interpret complex data attributes in such fields as weather forecasting, computational fluid dynamics, and artificial intelligence. However, effective and accurate representations of underlying data patterns and correlations can be challenging in mul...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics Vol. 29; no. 1; pp. 1 - 10
Main Authors: Li, Sihang, Yu, Jiacheng, Li, Mingxuan, Liu, Le, Zhang, Xiaolong, Yuan, Xiaoru
Format: Journal Article
Language:English
Published: United States IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Artificial intelligence
Computational fluid dynamics
Contour
Contours
Data visualization
Design parameters
Domain specific languages
domain-specific language
DSL
Filling
Image color analysis
Literature reviews
multiclass visualization
Task analysis
Visualization
visualization design
visualization framework
Weather forecasting
ISSN:1077-2626, 1941-0506, 1941-0506
Online Access:Get full text
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Summary:Multiclass contour visualization is often used to interpret complex data attributes in such fields as weather forecasting, computational fluid dynamics, and artificial intelligence. However, effective and accurate representations of underlying data patterns and correlations can be challenging in multiclass contour visualization, primarily due to the inevitable visual cluttering and occlusions when the number of classes is significant. To address this issue, visualization design must carefully choose design parameters to make visualization more comprehensible. With this goal in mind, we proposed a framework for multiclass contour visualization. The framework has two components: a set of four visualization design parameters, which are developed based on an extensive review of literature on contour visualization, and a declarative domain-specific language (DSL) for creating multiclass contour rendering, which enables a fast exploration of those design parameters. A task-oriented user study was conducted to assess how those design parameters affect users' interpretations of real-world data. The study results offered some suggestions on the value choices of design parameters in multiclass contour visualization.
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2022.3209482