An Approach to Representing Movement Data
Keywords:
Data visualization, spatio-temporal representation, movement data, space-time cube, multivariate data.Abstract
A moving object is an object of which position
changes continuously in space. The movement of an object is
represented by the change of its position through space and the
change of its attributes over time or location. In temporal
geography, the model of space-time cube (STC) represents
movements
as
polylines
time-ordered
connecting
spatio-temporal positions of moving objects. The space-time
cubes do not represent attributes of moving objects, which
change over time or along trajectories. Several authors used
two cubes to represent a moving object, one for spatio-temporal
positions and another for attributes changing over location.
This article proposes an approach to representing multivariate
data of moving objects in a Cartesian coordinate system. The
main idea of this article is to join the coordinate system
representing location data with the coordinate system
representing attributes by sharing the time axis. In this case,
attributes that are recorded by the location-based method are
inferred visually through the space-time path of the movement.
This approach can apply for two cases, given route and ungiven
route. For movements of ungiven route, the visualization system
combines a 3-dimension system representing locations with a
2-dimension system representing attributes. For movements of
given route, the visualization system is a 3-dimension Cartesian
coordinate system, where the trajectory is extended as an axis
representing the distance from departure place to current place,
two other axes indicate time and attributes. In both modes,
colors are employed as dimensions to show various attributes.
The two modes can be switched reciprocally in a system
tracking moving objects on ground.
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