2010 | OriginalPaper | Buchkapitel
An Object-Field Perspective Data Model for Moving Geographic Phenomena
verfasst von : K. -S. Kim, Y. Kiyoki
Erschienen in: Database Systems for Advanced Applications
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
We propose a new data model to represent dynamic and continuous geographic phenomena over spatiotemporal domain in moving-object databases. Existing data models of moving objects have shortcomings with respect to the representation of moving geographic phenomena involving continuous fields, such as temperature, elevation, and the degree of pollution. Moreover, in the case of a spatiotemporal model for continuous fields, it is difficult to deal with continuous movements through time. In this paper, we define a data type called moving field to represent both object-based and field-based views of geographic phenomena in spatiotemporal domains. The main feature of our model is that it integrates the spatial field model with the slice representation of moving objects. By introducing moving fields, we provide a new computational environment for analyzing various moving phenomena with numerical as well as geographic processing.