• Apr 24, 2017 News! Vol.6, No.4 has been indexed by EI (Inspec).   [Click]
  • Apr 24, 2017 News! Vol.6, No.3 has been indexed by EI (Inspec).   [Click]
  • Mar 16, 2017 News!Vol 7, No 1 has been published with online version 11 original aritcles from 6 countries are published in this issue   [Click]
General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, DOAJ, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
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).


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 © 2008-2015.International Journal of Modeling and Optimization. All rights reserved.
E-mail: ijmo@iacsitp.com