Trajectory Data Warehouses
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The previous chapter focused on the analysis of the spatial features of static objects such as stores, cities, or states, where by static we mean that the spatial features of these objects do not change (or change exceptionally) across time. However, there is a wide range of applications that require the analysis of the so-called moving objects, that is, objects that continuously change their position in space and time. This is called mobility data analysis. The interest in mobility data analysis has expanded dramatically with the availability of embedded positioning devices like GPS. With these devices, traffic data, for example, can be captured as a collection of sequences of positioning signals transmitted by the cars’ GPS along their itineraries. Since such sequences can be very long, they are often processed by dividing them in segments.
KeywordsData Warehouse Temporal Type Aggregation Operation Temporal Real Valid Time
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