A graphical filter/flow representation of Boolean queries: a prototype implementation and evaluation
Journal of the American Society for Information Science
Visual map algebra: a direct-manipulation user interface for GIS
Proceedings of the third IFIP WG2.6 working conference on Visual database systems 3 (VDB-3)
Principles of Visual Programming Systems
Principles of Visual Programming Systems
PICQUERY: A High Level Query Language for Pictorial Database Management
IEEE Transactions on Software Engineering
A High Level Visual Language for Spatial Data Management
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
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
Oracle8i Spatial: Experiences with Extensible Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Kaleidoscape: A 3D Environment for Querying ODMG Compliant Databases
VDB4 Proceedings of the IFIP TC2/WG 2.6 Fourth Working Conference on Visual Database Systems 4
Kaleidoquery: a visual query language for object databases
AVI '98 Proceedings of the working conference on Advanced visual interfaces
IEEE Transactions on Software Engineering
Query-by-example: a data base language
IBM Systems Journal
A toolkit to support dynamic social network visualization
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
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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 nonspatial 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. The language constructs are presented in detail and examples are used to demonstrate the expressiveness of the approach in representing different kinds of queries, including spatial joins and composite spatial queries.