Distance join queries on spatial networks

  • Authors:
  • Jagan Sankaranarayanan;Houman Alborzi;Hanan Samet

  • Affiliations:
  • University of Maryland, College Park, MD;University of Maryland, College Park, MD;University of Maryland, College Park, MD

  • Venue:
  • GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
  • Year:
  • 2006

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Abstract

The result of a distance join operation on two sets of objects R, S on a spatial network G is a set P of object pairs pq, p É R, q É S such that the distance of an object pair pq is the shortest distance from p to q in G. Several variations to the distance join operation such as UnOrdered, Incremental, topk, Semi-Join impose additional constraints on the distance between the object pairs in P, the ordering of object pairs in P, and on the cardinality of P. A distance join algorithm on spatial networks is proposed that works in conjunction with the SILC framework, which is a new approach to query processing on spatial networks. Experimental results demonstrate up to an order of magnitude speed up when compared with a prominent existing technique.