Information Sciences: an International Journal
A spatial model for complex objects with a broad boundary supporting queries on uncertain data
Data & Knowledge Engineering
An Advanced Discrete Model for Uncertain Spatial Data
WAIM '02 Proceedings of the Third International Conference on Advances in Web-Age Information Management
Application of Supervaluation Semantics to Vaguely Defined Spatial Concepts
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
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
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
Uncertainty Management for Spatial Data in Databases: Fuzzy Spatial Data Types
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Qualified topological relations between spatial objects with possible vague shape
International Journal of Geographical Information Science
Tolerance geometry: Euclid's first postulate for points and lines with extension
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
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The paper introduces a geometric model for uncertain lines that is capable of describing all the sources of uncertainty in spatial objects of linear type. We define uncertain lines as lines that incorporate uncertainties description both in the boundary and interior. These objects can model all the uncertainty by which spatial data are commonly affected and allow computations in presence of uncertainty without rough simplifications of the reality. The proposed model is an extension of the model for regions with a broad boundary and can be easily integrated into existing data models for spatial databases. We use the model as a basis for the study of topological relations between uncertain lines.