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Taylor and Francis Group, International Journal of Geographical Information Science, p. 1-23

DOI: 10.1080/13658816.2015.1104535

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Indexing large geographic datasets with compact qualitative representation

Journal article published in 2015 by Zhiguo Long, Matt Duckham ORCID, Sanjiang Li ORCID, Steven Schockaert
This paper is available in a repository.
This paper is available in a repository.

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Abstract

This paper develops a new mechanism to efficiently compute and compactly store qualitative spatial relations between spatial objects, focusing on topological and directional relations for large datasets of region objects. The central idea is to use minimum bounding rectangles (MBRs) to approximately represent region objects with arbitrary shape and complexity and only store spatial relations which cannot be unambiguously inferred from the relations of corresponding MBRs. We demonstrate, both in theory and practice, that our approach requires considerably less construction time and storage space, and can answer queries more efficiently than the state-of-the-art methods.