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Distributed storage and index of vector spatial data based on HBase

In order to deal with the storage and query problems of massive vector spatial data, we design a vector spatial data model based on HBase. Then, a parallel method of building Hilbert R-tree index using MapReduce and packed Hilbert R-tree algorithm is proposed. In the end, the proposed vector spatial data model and the method of building Hilbert R-tree index in parallel are proven to be effective and efficient by experiments.