Encyclopedia of GIS

2008 Edition
| Editors: Shashi Shekhar, Hui Xiong

Patterns in Spatio-temporal Data

  • Hui Yang
  • Srinivasan Parthasarathy
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-35973-1_966


Evolving spatial patterns; Spatio-temporal association patterns; Spatio-temporal object association


Spatio‐temporal data refer to data that are both spatial and time-varying in nature, for instance, the data concerning traffic flows on a highway during rush hours. Spatio‐temporal data are also being abundantly produced in many scientific domains. Examples include the datasets in computational fluid dynamics that describe the evolutionary behavior of vortices in fluid flows, and the datasets in bioinformatics that study the folding pathways of proteins from an initially string-like 3D structure to their respective native 3D structure.

One important issue in analyzing spatio‐temporal data is to characterize the spatial relationship among spatial entities and, more importantly, to define how such a relationship evolves or changes over time. In the traffic flow example, one might be interested in identifying and monitoring the automobiles that are following one another...


Spatial Cluster Geometric Object Geographic Information System Scientific Domain Association Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Hui Yang
    • 1
  • Srinivasan Parthasarathy
    • 2
  1. 1.Department of Computer Science and EngineeringSan Francisco State UniversitySan FranciscoUSA
  2. 2.Department of Computer Science and EngineeringThe Ohio State UniversityColumbusUSA