Definition
In spatio-temporal databases, the locations of moving objects are usually modeled as linear functions of time. Thus, the location of an object at time t is represented as \( o(t)={o}_s+{o}_vt \),where o s is the initial location of the object at timet = 0 and o v is its velocity. Given that the object moves in a d−dimensional space, o(t), o s , and o v are d−dimensional vectors. In this setting, the selectivity estimation of spatio-temporal queries is defined as follows:
Given a database that stores the locations of moving objects and a spatio-temporal query, estimate the number of objects that satisfy the query.
There are two important types of queries in this environment: spatio-temporal window (or range) queries and spatio-temporal distance join queries. A spatio-temporal window query (STWQ) specifies a (static or moving) region q S , a future time interval q T , and a dataset of moving objects D, and retrieves...
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Kollios, G. (2014). Spatio-Temporal Selectivity Estimation. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_363-2
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DOI: https://doi.org/10.1007/978-1-4899-7993-3_363-2
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