George F. Frazier
ABSTRACT
Research involving applications such as geographic information systems, digital cartography, machine-drawing understanding systems, and medical imaging systems has recently focused considerable attention on spatial databases that support temporal reasoning. To develop such applications, several spatiotemporal data models have been proposed. In this work, an incremental algorithm is presented for building temporal quadtrees from a sequence of time-stamped grids. The temporal quadtree data model is particularly well-suited for applications involving highly homogeneous spatiotemporal data. Analysis of the algorithm reveals that an upper bound on its execution time is proportional to the product of the number of time-stamped grids involved and the number of cells in each grid.
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Index Terms
- An incremental algorithm for building temporal quadtrees
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