Abstract
The development of theories that address spatiotemporal aspects of data modeling has attracted an increasing number of researchers from different disciplines. Advancing theories and data models for events is of importance to researchers in the field of geographic information science. Many of the dynamics that users are interested in representing in geographic information systems can be understood as events. This interest in events stems from the need to understand the range of dynamics for a particular domain, that is, to distinguish and classify different kinds of events that hold for a domain; to track the sequence and evolution of events over space and time; and to represent and visualize patterns and trends involving events, as well as predict where and when future events will occur.
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