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).
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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.
