The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
The SR-tree: an index structure for high-dimensional nearest neighbor queries
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
The pyramid-technique: towards breaking the curse of dimensionality
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Multidimensional access methods
ACM Computing Surveys (CSUR)
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Analysis of the Clustering Properties of the Hilbert Space-Filling Curve
IEEE Transactions on Knowledge and Data Engineering
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
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To solve the overlapping search of multidimensional spatial database containing large quantity of objects with dynamic spatial extent, this paper proposes an index structure named Space Grid Tree (SG-Tree) based on Peano Space-Filling Curve (SFC) to index the region of object. By appropriate linearization strategy, the bounding box of a spatial object can be presented by a union of mutually disjoint hypercube grids with different granularity, and only the object's oid, i.e. the identifier which is used to refer to this object in the database, is registered on the nodes relative to these grids. The overlapping queries of spatial objects can be operated real-time directly on SG-Tree. Experiments show that SG-Tree is feasible and efficient to solve the overlapping search of multidimensional spatial objects.