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This paper proposes fast initial construction methods of the GBD-tree. GDB tree has proper characteristics for management of large amount of 2 or 3 dimensional data. However, the GBD-tree needs long initial construction time, because no bulk insertion method as for R-tree has been proposed for the GBD-tree. This paper proposes fast initial construction method. The method requires only limited size of work space. The experimental results show the initial construction time reduces into a third or a quarter of the one-by-one insertion method. The memory efficiency and retrieval efficiency are also improved than the one-by-one insertion method.

A Proposal of GBD-Tree Initial Construction Method for Spatial Data Management