空间数据的二维和三维表示:系统回顾

S. Dübel, Martin Rohlig, H. Schumann, Matthias Trapp
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引用次数: 67

摘要

使用2D还是3D进行数据可视化的问题通常很难决定。二维和三维可视化技术在各种感知和技术方面表现出不同的优点和缺点,例如遮挡、杂乱、失真或可扩展性。为了便于对这些方面的问题理解和现有可视化技术的比较,本报告介绍了一种基于表示特征的系统化方法。它可以根据属性的静态2D和3D表示及其空间引用的组合进行分类。此外,它补充了现有的数据系统化,努力为这个问题领域形式化一个通用术语和理论框架。我们通过回顾不同的空间数据可视化技术来展示我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
2D and 3D presentation of spatial data: A systematic review
The question whether to use 2D or 3D for data visualization is generally difficult to decide. Two-dimensional and three-dimensional visualization techniques exhibit different advantages and disadvantages related to various perceptual and technical aspects such as occlusion, clutter, distortion, or scalability. To facilitate problem understanding and comparison of existing visualization techniques with regard to these aspects, this report introduces a systematization based on presentation characteristics. It enables a categorization with respect to combinations of static 2D and 3D presentations of attributes and their spatial reference. Further, it complements existing systematizations of data in an effort to formalize a common terminology and theoretical framework for this problem domain. We demonstrate our approach by reviewing different visualization techniques of spatial data according to the presented systematization.
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