The space - time cube revisited from a geovisualization perspective

At the end of the sixties Hagerstrand introduced a space-time model which included features such as a Space-TimePath, and a Space-Time-Prism. His model is often seen as the start of the time-geography studies. Throughout the years his model has been applied and improved to understand our movements through space. Problems studied can be found in different fields of geography, and range from those on an individual movement to whole theories to optimize transportation. From a visualization perspective the Space-Time-Cube was the most prominent element in Hagerstrand’s approach. In its basic appearance these images consist of a cube with on its base a representation of geography (along the x- and y-axis), while the cube’s height represents time (z-axis). A typical Space-Time-Cube could contain the space time-paths of for instance individuals or bus routes. However, when the concept was introduced the options to create the graphics were limited to manual methods and the user could only experience the single view created by the draftsperson. An alternative view on the cube would mean to go through a laborious drawing exercise. Today’s software has options to automatically create the cube and its contents from a database. Data acquisition of space-time paths for both individuals and groups is also made easier using GPS. Today, the user’s viewing environment is, by default, interactive and allows one to view the cube from any direction. In this paper an extended interactive and dynamic visualization environment is proposed, and demonstrated, in which the user has full flexibility to view, manipulate and query the data in a Space-Time-Cube. Included are options to move slider planes along each of the axes to for instance select, or highlight a period in time or location in space. Examples will be discussed in which the time axis is manipulated by for instance changing world time for event time (time cartograms). Creativity should not stop here since it has been shown that especially an alternative perspective on the data will sparkle the mind with new ideas. The user should be allowed to for instance let the x- and/or y-axis be represented by other variables of the theme studied. Since the cube is seen as an integral part of a geovisualization environment the option to link other views with other graphic representation does exist.

[1]  Harvey J. Miller,et al.  Measuring Space‐Time Accessibility Benefits within Transportation Networks: Basic Theory and Computational Procedures , 1999 .

[2]  Alan M. MacEachren,et al.  Visualization in modern cartography , 1994 .

[3]  Jason Dykes,et al.  Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications , 2003, Comput. Stat. Data Anal..

[4]  Steven M. Smith,et al.  Creative Cognition: Theory, Research, and Applications , 1996 .

[5]  B. Lenntorp Paths in space-time environments : a time-geographic study of movement possibilities of individuals , 1976 .

[6]  A. MacEachren,et al.  Research Challenges in Geovisualization , 2001, KN - Journal of Cartography and Geographic Information.

[7]  A. Pred 'THE CHOREOGRAPHY OF EXISTENCE: COMMENTS ON HAGERSTRAND'S TIME-GEOGRAPHY AND ITS USEFULNESS , 1977 .

[8]  Steven F. Roth,et al.  Toward an information visualization workspace: combining multiple means of expression , 1997 .

[9]  David Unwin,et al.  Visualization In Geographical Information Systems , 1996 .

[10]  T. Hägerstrand DIORAMA, PATH AND PROJECT , 1982 .

[11]  Harvey J. Miller,et al.  What about people in geographic information science? , 2003, Comput. Environ. Urban Syst..

[12]  Harvey J. Miller,et al.  Modelling accessibility using space-time prism concepts within geographical information systems , 1991, Int. J. Geogr. Inf. Sci..

[13]  M. Kwan Gender, the Home-Work Link, and Space-Time Patterns of Nonemployment Activities , 1999 .

[14]  Angela Lee,et al.  Hagerstrand Revisited: Interactive Space-Time Visualizations of Complex Spatial Data , 1999, Informatica.

[15]  P. Forer,et al.  Computational agents and urban life spaces : a preliminary realisation of the time - geography of student lifestyles , 1998 .

[16]  Max J. Egenhofer,et al.  Spatial and temporal reasoning in geographic information systems , 1998 .

[17]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[18]  Peter R. Keller,et al.  Visual cues - practical data visualization , 1993 .

[19]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[20]  Steven F. Roth,et al.  Toward an Information Visualization Workspace: Combining Multiple Means of Expression , 1997, Hum. Comput. Interact..

[21]  Max J. Egenhofer,et al.  Modeling Moving Objects over Multiple Granularities , 2002, Annals of Mathematics and Artificial Intelligence.