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WebUVisBox: A Scenario-Based Framework for Collaborative and Accessible 3D Uncertainty Visualization on the Web
IEEE Computer Graphics and Applications
|July 17, 2026
Summary
WebUVisBox is a new framework for uncertainty visualization, making complex scientific tools accessible across devices. It ensures flexible development and reliable, cross-platform analysis for diverse scientific applications.
Area of Science:
- Computer Science
- Data Visualization
- Scientific Computing
Background:
- Delivering complex, multi-view uncertainty visualization interfaces across diverse devices presents technical challenges.
- Existing solutions often lack the flexibility to adapt to various platforms and user needs.
Purpose of the Study:
- To present WebUVisBox, a framework designed to overcome technical barriers in uncertainty visualization.
- To enable the delivery of complex visualization tools across diverse devices, from desktops to mobile environments.
Main Methods:
- A modular, scenario-based architecture utilizing a registry pattern and declarative configuration.
- Reactive state management and a responsive layout engine for cross-platform accessibility.
- Demonstration through case studies in wildfire ensemble forecasts and neural network flow uncertainty.
Main Results:
- WebUVisBox effectively decouples visualization logic from core infrastructure, allowing for rapid extensibility.
- The framework automatically adapts complex analytical tools for both desktop and mobile environments.
- Case studies validate the framework's ability to support reproducible, cross-platform scientific analysis.
Conclusions:
- WebUVisBox successfully balances developer flexibility with the demands of scientific analysis.
- The framework enhances the reach and accessibility of uncertainty visualization tools.
- It provides a robust solution for cross-platform scientific data exploration and analysis.
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