Geography Reference
In-Depth Information
The understanding of urban spatial structures can benefit the studies of
visualizing individual space-time behaviors (Kwan, 2000; Chai, 2013). We can
use both
individual-based visualization
and
aggregation-based visualization
to
explore dynamic patterns in urban studies. However, the representation of
dynamic human activities and movements over both space and time is one of
the major challenges in geocomputation and geovisualization. Hägerstrand's
time-geography conceptual framework provides an excellent integrated repre-
sentation of human movements in space and time (Hägerstrand, 1970).
But the space-time cube idea was not applied so widely until the develop-
ment of GIS-based implementations and analytical discussions about space-
time relationships, interactions and uncertainties (Miller, 2005; Shaw, Yu, and
Bombom, 2008; Chen et al., 2011; Nakaya, 2013) moved forward, as well as
the opportunity to explore potential human activities in both physical and
virtual spaces (Yu and Shaw, 2008).
For the individual-based movement representation, a
space-time path
(3D
polyline) was created to connect time-ordered sequence of locations of one
person in a 3D-GIS environment which consists of a two-dimensional horizon-
tal geographic plane and one vertical dimension of time (Figure 2).
Figure 2. Space-time path of an individual's movement in a week.
