高级检索+

集合数据不确定性可视化综述

A survey of uncertainty visualization techniques for ensemble data

  • 摘要: 集合数据不确定性贯穿于仿真过程的各个环节,准确把握这些不确定性对于深入理解其背后的物理与自然现象至关重要。集合数据是刻画仿真不确定性的核心,而面向集合数据的可视化技术则成为分析与解释不确定性的关键工具,也是当前多个领域研究的热点与难点。然而,现有方法往往局限于数据特征的表达,忽视了用户在对视觉编码解读过程中理解的正确性与有效性。基于此,本文从用户理解视角出发,对相关可视化技术及其有效性评估方法进行系统分类与深入分析,旨在为后续研究提供参考与借鉴。

     

    Abstract: Uncertainty is inevitably present in all stages of the simulation process, and significantly impacting the interpretation of physical and natural phenomena behind simulations. Ensemble data play a vital role in reflecting the uncertainty in simulations, and visualization techniques for ensemble data are crucial tools for conveying it effectively. They are currently a hot and challenging topic in research across various fields. However, existing ensemble visualization methods usually focus on designing visual encodings tailored to data characteristics, while neglecting the accuracy and efficiency of users' interpretation of visual encodings. From this perspective, this survey provides a detailed discussion and analytical review of current visualization techniques and associated evaluation methods, aiming to provide valuable guiances for future research in this field.

     

/

返回文章
返回