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Visual Parameter Space Exploration in Time and Space
Nikolaus Piccolotto1, Markus Bögl1, Silvia Miksch1
1TU Wien Institute of Visual Computing and Human-Centered Technology Wien Austria.
This study surveys visual parameter space exploration (VPSE) systems for computational models. It identifies common workflows and future research directions for enhanced parameter analysis and optimization.
Area of Science:
- Computational science and engineering
- Data visualization
- Human-computer interaction
Background:
- Computational models are crucial in science and industry, generating outputs from input parameters.
- Understanding parameter-output relationships is vital for tasks like optimization and sensitivity analysis.
- Exploring large parameter spaces can be challenging, necessitating effective visualization techniques.
Purpose of the Study:
- To survey existing visual parameter space exploration (VPSE) systems.
- To focus on interactive visualizations and user interfaces for VPSE.
- To identify common workflow steps and future research directions in VPSE.
Main Methods:
- Thematic analysis of surveyed literature on VPSE systems.
- Focus on systems handling spatial and temporal data.
- Examination of interactive visualization and user interface designs.
Main Results:
- Identified common workflow steps in VPSE systems.
- Highlighted approaches used to support these workflows.
- Cataloged interactive visualization and user interface strategies.
Conclusions:
- VPSE systems are essential for understanding complex computational models.
- Further research is needed to expand VPSE capabilities to more diverse computational models.
- Interactive visualizations and user interfaces are key components of effective VPSE.
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