Indexing Historical Spatio-Temporal Data
Consider an object O that reports to a database server two consecutive locations P0 = (x0,y0) and P1 = (x1,y1) at times t0 and t1, respectively. The database server has no idea about the exact locations of object O between t0 and t1. To be able to answer queries regarding the user location at any time, the database server interpolates the two accurate locations through a trajectory that connects P0 and P1 through a straight line. While object O keeps sending location samples, the database server keeps accumulating set of consecutive trajectory lines that represent the historical movement of object O. Indexing historical spatio-temporal data includes dealing with such large numbers of trajectories. The main idea is to organize past trajectories in a way that supports historical spatial, temporal, and spatio-temporal queries.
Indexing the past, Historical spatio-temporal access methods, Trajectory indexing
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