Illustrative visualization of time-varying features in spatio-temporal data

Identifying and analyzing the time-varying features is important for understanding the spatio-temporal datasets. While there are numerous studies on illustrative visualization, existing solutions can hardly show subtle variations in a temporal dataset. This paper introduces a novel illustrative visu...

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Bibliographic Details
Published inJournal of visual languages and computing Vol. 48; pp. 157 - 168
Main Authors Wu, Xiangyang, Chen, Zixi, Gu, Yuhui, Chen, Weiru, Fang, Mei-e
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.10.2018
Subjects
Feature enhancement
Illustrative visualization
Spatio-temporal data
Feature enhancement
Spatio-temporal data
Illustrative visualization
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Summary:Identifying and analyzing the time-varying features is important for understanding the spatio-temporal datasets. While there are numerous studies on illustrative visualization, existing solutions can hardly show subtle variations in a temporal dataset. This paper introduces a novel illustrative visualization scheme that employs temporal filtering techniques to disclose desired tiny features, which are further enhanced by an adaptive temporal illustration technique. The unconcerned context can be suppressed in a similar fashion. We develop a visual exploration system that empowers users to interactively manipulate and analyze temporal features. The experimental results on a mobile calling data demonstrate the effectivity and usefulness of our method.
ISSN:1045-926X
1095-8533
DOI:10.1016/j.jvlc.2018.08.010