Identifying topological predicates for vague spatial objects

Authors:
Alejandro Pauly;Markus Schneider
Affiliations:
University of Florida, Gainesville, FL;University of Florida, Gainesville, FL
Venue:
Proceedings of the 2005 ACM symposium on Applied computing
Year:
2005

Citing 2
Cited 2

Uncertainty Management for Spatial Data in Databases: Fuzzy Spatial Data Types

SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Topological Relationships of Complex Points and Complex Regions

ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling

VASA: An algebra for vague spatial data in databases

Information Systems
Topological predicates between vague spatial objects

SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases

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Abstract

Many geographical applications deal with spatial objects that cannot be adequately described by determinate, crisp concepts because of their intrinsically indeterminate and vague nature. GIS and spatial database systems are currently unable to handle this kind of data. Based on recent work on vague spatial data types, which are part of a formal data model called VASA (Vague Spatial Algebra) and which leverage exact models of crisp spatial data types, this paper introduces a general mechanism for identifying topological predicates for vague spatial objects by means of topological predicates for crisp spatial objects. We illustrate this mechanism by deducing these predicates for vague points.