Towards maintaining consistency of spatial databases
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
A New Way to Represent the Relative Position between Areal Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cardinal relations between regions with a broad boundary
Proceedings of the 8th ACM international symposium on Advances in geographic information systems
Similarity of Cardinal Directions
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Similarity assessment for cardinal directions between extended spatial objects
Similarity assessment for cardinal directions between extended spatial objects
Computing and Managing Cardinal Direction Relations
IEEE Transactions on Knowledge and Data Engineering
Computational Geometry: Theory and Applications
A Family of Directional Relation Models for Extended Objects
IEEE Transactions on Knowledge and Data Engineering
The objects interaction matrix for modeling cardinal directions in spatial databases
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
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Directional relations are fundamental to spatial data queries, analysis and reasoning. Consequently there has been a significant amount of effort to determine directional relations between two regions. However, many existing methods do not perform well when the regions are neighboring or intertwined. In this paper we introduce a new model for directional relations which is based on a splitting line separating the two regions in question. We identify essential quality criteria for directional relation models and translate them into measurable properties of a given splitting line. We present an efficient algorithm that computes an optimal splitting line for two regions and perform extensive experiments. Our results show that the splitting line model captures directional relations very well and that it clearly outperforms existing approaches on pairs of neighboring or intertwined regions.