2002•Unpublished venueRequires access

A visual query language for large spatial databases

Andrew J. Morris, Alia I. Abdelmoty, Baher A. El-Geresy

Abstract

In this paper a visual approach to querying in large spatial databases is presented. A diagrammatic technique utilising a data flow metaphor is used to express different kinds of spatial and non-spatial constraints. Basic filters are designed to represent the various types of queries in such systems. Icons for different types of spatial relations are used to denote the filters. Different granularities of the relations are presented in a hierarchical fashion when selecting the spatial constraints. Spatial joins and composite spatial and non-spatial constraints are represented consistently in the language.

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Available abstract

Key concepts: Computer science, Spatial query, Diagrammatic reasoning, Joins, Spatial analysis, Spatial relation, Spatial database, Object-based spatial database