• Dec 31, 2019 News!Welcome Assoc. Prof. David E. Breen from USA to join the Editorial board of IJMO.   [Click]
  • May 13, 2022 News!Vol. 12, No. 3 has been published with online version.   [Click]
  • Dec 24, 2021 News!Vol 11, No 1- Vol 11, No 2 has been indexed by IET-(Inspec)   [Click]
General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2015 Vol.5(3): 207-210 ISSN: 2010-3697
DOI: 10.7763/IJMO.2015.V5.463

The Approach of Space-Time Cube to Visualizing Movement Data

Hong Thi Nguyen
Abstract—The movement swops time for location because a moving object must take time to displace from a place to another. Basically, the movement data of a moving object consist of time, location, and attributes, which are recorded discretely as data tuples and may be structured as a data table. This paper resumes the approaches to visualizing movement data according to two strategies, spatio-temporal data and multivariable spatio-temporal data, based on the concept of time geography. A table of spatio-temporal data which comprises the fields of time and location may be represented on a space-time cube. A table of multivariable spatio-temporal data which consists of the fields of time, location, and attributes may be divided small tables, where the table of spatio-temporal data is represented on a space-time cube, the tables of attibutes changing over time and/or at locations are represented as graphs to be integrated into the cube according to suitably shared variables. The movement data of a flying object including four variables, 2 variables indicating ground position, 1 variable indicating time, and 1 variable indicating elevation, are represented on a 4D cube.

Index Terms—Movement data, visualization, space-time cube, spatio-temporal data, moving object.

Hong Thi Nguyen is with University of Information Technology (UIT), Vietnam National University in Hochiminh City, Vietnam (e-mail: hongnguyen1611@gmail.com).

[PDF]

Cite: Hong Thi Nguyen, "The Approach of Space-Time Cube to Visualizing Movement Data," International Journal of Modeling and Optimization vol. 5, no. 3, pp. 207-210, 2015.

Copyright © 2008-2022. International Journal of Modeling and Optimization. All rights reserved.
E-mail: ijmo@iacsitp.com