The object data standard: ODMG 3.0
The object data standard: ODMG 3.0
A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
An Algebraic Representation of Calendars
Annals of Mathematics and Artificial Intelligence
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications)
Encyclopedia of GIS
Formal and conceptual modeling of spatio-temporal granularities
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Spatial partition graphs: a graph theoretic model of maps
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
Map algebra extended with functors for temporal data
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
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The notion of granularity is used in several areas of computing. In temporal databases, granularity relates to the fact that the time frame associated to an event of interest (e.g., an accident) can be envisaged at several levels of detail (e.g., hour, day, month, etc.). Similarly, granularity in data warehousing is the level of detail at which facts (e.g., sales) are captured in dimensions (e.g., product, store, and day). However, there is no commonly-agreed definition of spatial or spatio-temporal granularities. Sometimes, the term spatial granularity is confounded with multiple resolutions. Further, the few proposals about them are mainly focused on the vector data model. In this paper, we define spatial and spatio-temporal granularities for raster data models. In our framework, relations and operations between spatial and spatio-temporal granularities are also defined.