Hybrid index structures for the extents of moving objects

Hybrid index structures for the extents of moving objects

Many spatiotemporal applications such as fire simulation need to efficiently query the changing extents of continuously moving objects. Two hybrid index structures based on TPR-tree and GF were proposed to support the spatiotemporal predictive querying of current and predicted future extents. Based...

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Veröffentlicht in:Zhōngguó kēxué jìshù dàxué xuébào 2010-02, Vol.40 (2), p.178-183
Hauptverfasser: Chen, Haoran, Gong, Yuchang, Yue, Lihua, Jin, Peiquan
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container_start_page 178
container_title Zhōngguó kēxué jìshù dàxué xuébào
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creator Chen, Haoran
Gong, Yuchang
Yue, Lihua
Jin, Peiquan
description Many spatiotemporal applications such as fire simulation need to efficiently query the changing extents of continuously moving objects. Two hybrid index structures based on TPR-tree and GF were proposed to support the spatiotemporal predictive querying of current and predicted future extents. Based on cost analysis, experimental results performed on simulated datasets show that the proposed index structures are effective for the predictive querying of the extents of moving objects.
doi_str_mv 10.3969/j.issn.0253-2778.2010.02.013
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title Hybrid index structures for the extents of moving objects
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