Encyclopedia of GIS

2017 Edition
| Editors: Shashi Shekhar, Hui Xiong, Xun Zhou

Patterns in Spatiotemporal Data

  • Hui Yang
  • Srinivasan Parthasarathy
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-17885-1_966



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...

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Recommended Reading

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Hui Yang
    • 1
  • Srinivasan Parthasarathy
    • 2
  1. 1.Department of Computer Science and EngineeringSan Francisco State UniversitySan Francisco, CAUSA
  2. 2.Department of Computer Science and EngineeringThe Ohio State UniversityColumbus, OHUSA