Two-Stage Approach to Classifying Multidimensional Cubes for Visualization of Multivariate Data

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Visualization of multivariate data is a big challenge to problems of visual analytics. A system of data visualization is composed of visual mapping stage and visual display stage.


Two-Stage Approach to Classifying Multidimensional Cubes for Visualization

of Multivariate Data

Hong Thi Nguyen1, Thuan My Thi Pham2, Tuyet Anh Thi Nguyen3,
Anh Van Thi Tran

Anh Van Thi Tran4, Phuoc Vinh Tran6(&), and Dang Van Pham5
1 University of Information Technology, Vietnam National University HCMC,
Ho Chi Minh City, Vietnam
hongnguyen1611@gmail.com
2 Ho Chi Minh City Open University, Hochiminh City, Vietnam
thuanptm.178i@ou.edu.vn, mythuanpt@gmail.com
3 Thu Dau Mot University, Binhduong, Vietnam
tuyetnta@tdmu.edu.vn
4 Ho Chi Minh College of Economics, Hochiminh City, Vietnam
anhttv@kthcm.edu.vn, ttvanh26@gmail.com
5 Nguyen Tat Thanh University, Hochiminh City, Vietnam
pvdang@ntt.edu.vn
6 Hochiminh City Open University, Hochiminh City, Vietnam
Phuoc.tvinh@ou.edu.vn, phuoc.gis@gmail.com

Abstract. Visualization of multivariate data is a big challenge to problems of visual analytics. A system of data visualization is composed of visual mapping stage and visual display stage. The stage of visual mapping converts data to graph and the stage of visual display shows the graph on screen in accordance with humans retinal perception which is specified by visual features and Gestalts laws. Based on data characteristics, multidimensional cubes representing multivariate data are classified as non-spatial multidimensional cube for non-spatial data, spatial multidimensional cube for spatio-temporal data, spatiotemporal multidimensional cube for movement data, and 3D-spatio-temporal multidimensional cube for flight data. For a visualization system responding humans retinal perception, multidimensional cubes have to enable analysts to answer elementary questions concerning individual values, variation questions concerning part of data or overall data, and relation questions resulting in the correlation among attributes.


Two-Stage Approach to Classifying Multidimensional Cubes for Visualization of Multivariate Data


Link:  

https://drive.google.com/file/d/1b2BAb_N6vPx_eVSLG9-MNwj_q5zXcf1Y/view?usp=sharing

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