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Semantic Visual Variables for Augmented Geovisualization
The Cartographic Journal ( IF 1.366 ) Pub Date : 2019-03-20 , DOI: 10.1080/00087041.2018.1533295
Yun Li 1 , Qing Zhu 1 , Xiao Fu 1 , Bin Feng 1 , Mingwei Liu 1 , Junxiao Zhang 1 , Jun Zhu 1 , Huagui He 2 , Weijun Yang 2
Affiliation  

ABSTRACT The human–cyber–physical world produces a considerable volume of multi-modal spatio-temporal data, thus leading to information overload. Visual variables are used to transform information into visual forms that are perceived by the powerful human vision system. However, previous studies of visual variables focused on methods of ‘drawing information’ without considering ‘intelligence’ derived from balancing ‘importance’ and ‘unimportance’. This paper proposes semantic visual variables to support an augmented geovisualization that aims to avoid exposing users to unnecessary information by highlighting goal-oriented content over redundant details. In this work, we first give definitions of several concepts and then design a semiotic model for depicting the mechanisms of augmented geovisualization. We also provide an in-depth discussion of semantic visual variables based on a hierarchical organization of the original visual variables, and we analyse the critical influencing factors that affect the choice of visualization forms and visual variables. Finally, a typical application is used to illustrate the relevance of this study.

中文翻译:

增强地理可视化的语义视觉变量

摘要人类-网络-物理世界产生了大量的多模式时空数据,从而导致信息过载。视觉变量用于将信息转换为强大的人类视觉系统可以感知的视觉形式。但是,以前关于视觉变量的研究集中在“绘制信息”的方法上,而不考虑从“重要性”和“不重要”之间取得平衡的“智能”。本文提出了语义视觉变量,以支持增强的地理可视化,旨在通过在冗余细节上突出面向目标的内容来避免向用户展示不必要的信息。在这项工作中,我们首先给出几个概念的定义,然后设计一个用于描述增强地理可视化机制的符号模型。我们还基于原始视觉变量的层次结构对语义视觉变量进行了深入的讨论,并分析了影响可视化形式和视觉变量选择的关键影响因素。最后,一个典型的应用程序被用来说明这项研究的相关性。
更新日期:2019-03-20
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