Compact Hilbert Indices for Multi-Dimensional Data

@article{Hamilton2007CompactHI,
  title={Compact Hilbert Indices for Multi-Dimensional Data},
  author={Chris H. Hamilton and Andrew Rau-Chaplin},
  journal={First International Conference on Complex, Intelligent and Software Intensive Systems (CISIS'07)},
  year={2007},
  pages={139-146}
}
Space-filling curves, particularly Hilbert curves, have proven to be a powerful paradigm for maintaining spatial groupings of multi-dimensional data in a variety of application areas including database systems,data structures and distributed information systems. One significant limitation in the standard definition of Hilbert curves is the requirement that the grid size (i.e. the cardinality) in each dimension be the same. In the real world, not all dimensions are of equal size and the work… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 35 REFERENCES

Fast Hilbert curve generation, sorting, and range queries

  • D. Moore
  • http://web.archive.org/web/20050212162158/ http…
  • 1999
Highly Influential
5 Excerpts

Partitioning the cubed-sphere for bluegene/l

  • J. M. Dennis, H. M. Tufo, R. D. Loft
  • 11th SIAM Conf. on Par. Proc. for Sci. Comp. SIAM…
  • 2004
1 Excerpt

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