Modeling uncertainty in spatiotemporal objects

نویسندگان

  • M. R. Delavar
  • M. R. Malek
  • A. U. Frank
چکیده

Spatiotemporal modeling has been received a great attention in both the research and user community. Although considerable research efforts and valuable results do exists, many of the studies and proposed approaches are based on the assumption that objects have crisp boundaries, relationships among them are precisely defined, and accurate measurement of positions leads to error-free representations. This simplification is not sufficient for all applications and surely spatial objects, attributes, relationships, time points, time periods, events and their changes may have uncertainty influencing spatiotemporal systems. In this paper, we first explore the semantics of spatial and temporal indeterminacy, to better understand their nature and behavior and show how the fundamental modeling concepts of spatial objects, time and events are influenced by indeterminacy representing that subsequently these concepts can be combined. Afterwards, we focus on the change of spatial objects and their geometry in time, then required models in the uncertainties mentioned have been developed and finally the methodology proposed to model indeterminate changes has been presented through a simulation case study.

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تاریخ انتشار 2006