Taxonomy of Spatial-Temporal Data Visualization

被引：1

作者：

Zhu, Ying ^{[1
]}

Kancharla, Pragna Reddy ^{[2
]}

Talluru, Chaitanya Sai Kumar ^{[2
]}

机构：

[1] Georgia State Univ, Creat Media Ind Inst, Atlanta, GA 30303 USA

[2] Georgia State Univ, Dept Comp Sci, Atlanta, GA USA

来源：

2021 25TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): AI & VISUAL ANALYTICS & DATA SCIENCE | 2021年

关键词：

visualization; spatial-temporal analysis; taxonomy; VISUAL ANALYTICS; SPACE-TIME; PATTERNS;

D O I：

10.1109/IV53921.2021.00043

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Spatial-temporal data visualization is an important sub-field of data visualization. Many spatial-temporal data visualization techniques have been developed and published. Although there are several surveys on this subject, some are based on a task-centric or data-centric framework. Some surveys focus on the temporal data visualization for a particular type of spatial data visualization, such as a map or space-time cube. In this paper, we present a new taxonomy and interactive survey of spatial-temporal data visualization. Based on our taxonomy, a wide variety of spatial-temporal data visualization techniques can be described by a small set of visualization elements. This is the first step towards creating a grammar for spatial-temporal visualization.

引用

页码：223 / 228

页数：6

共 27 条

[1] ID-Viewer: a visual analytics architecture for infectious diseases surveillance and response management in Pakistan [J].

Ali, M. A. ;

Ahsan, Z. ;

Amin, M. ;

Latif, S. ;

Ayyaz, A. ;

Ayyaz, M. N. .

PUBLIC HEALTH, 2016, 134 :72-85

[2] Exploratory spatio-temporal visualization: an analytical review [J].

Andrienko, N ;

Andrienko, G ;

Gatalsky, P .

JOURNAL OF VISUAL LANGUAGES AND COMPUTING, 2003, 14 (06) :503-541

[3]

Andrienko N., 2004, P WORKING C ADV VISU, P417

[4] Visual analytics of movement: An overview of methods, tools and procedures [J].

Andrienko, Natalia ;

Andrienko, Gennady .

INFORMATION VISUALIZATION, 2013, 12 (01) :3-24

[5] A Descriptive Framework for Temporal Data Visualizations Based on Generalized Space-Time Cubes [J].

Bach, B. ;

Dragicevic, P. ;

Archambault, D. ;

Hurter, C. ;

Carpendale, S. .

COMPUTER GRAPHICS FORUM, 2017, 36 (06) :36-61

[6] Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data [J].

Bach, Benjamin ;

Shi, Conglei ;

Heulot, Nicolas ;

Madhyastha, Tara ;

Grabowski, Tom ;

Dragicevic, Pierre .

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2016, 22 (01) :559-568

[7] Exploratory spatio-temporal data mining and visualization [J].

Compieta, P. ;

Di Martino, S. ;

Bertolotto, M. ;

Ferrucci, F. ;

Kechadi, T. .

JOURNAL OF VISUAL LANGUAGES AND COMPUTING, 2007, 18 (03) :255-279

[8]

Danhuai Guo, 2015, 2015 23rd International Conference on Geoinformatics. Proceedings, P1, DOI 10.1109/GEOINFORMATICS.2015.7378668

[9]

Dietrich C, 2014, IEEE CONF VIS ANAL, P23, DOI 10.1109/VAST.2014.7042478

[10] Interactive analysis of event data using space-time cube [J].

Gatalsky, P ;

Andrienko, N ;

Andrienko, G .

EIGHTH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS, 2004, :145-152

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