Extending relational algebra to manipulate temporal data
Information Systems
Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
Spatial data models and query processing
Modern database systems
Sequential Operations in Digital Picture Processing
Journal of the ACM (JACM)
Connectivity in Digital Pictures
Journal of the ACM (JACM)
On the Topological Properties of Quantized Spaces, I. The Notion of Dimension
Journal of the ACM (JACM)
On the Topological Properties of Quantized Spaces, II. Connectivity and Order of Connectivity
Journal of the ACM (JACM)
Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
Realm-based spatial data types: the ROSE algebra
The VLDB Journal — The International Journal on Very Large Data Bases
Spatial SQL: A Query and Presentation Language
IEEE Transactions on Knowledge and Data Engineering
SQL Extension for Interval Data
IEEE Transactions on Knowledge and Data Engineering
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
SSD '89 Proceedings of the First Symposium on Design and Implementation of Large Spatial Databases
A Small Set of Formal Topological Relationships Suitable for End-User Interaction
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
Functional Extensions of a Raster Representation for Topological Relations
INTEROP '99 Proceedings of the Second International Conference on Interoperating Geographic Information Systems
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An extension to the relational model is defined for the management of spatial data. The model adopts a radically new methodology for the formalization of three spatial data types, point, line and surface, based on a definition for spatial quanta. A relational algebra is next defined whose operations are closed and their result is defined uniquely. Most important, the operations represent adaptations of others that had been used in previous research for the modeling of temporal data. Hence, the model applies uniformly to the management of conventional, spatial and temporal data.