Abstract
Spatiotemporal database systems aim at combining the spatial and temporal characteristics of data. There are many applications that benefit from efficient processing of spatiotemporal queries such as: mobile communication systems, traffic control systems (e.g., air-traffic monitoring), geographical information systems (GIS), multimedia, and location-based services (LBS). The common basis of these applications is the requirement to handle both the space and time characteristics of the underlying data [217, 232, 246]. These applications pose high requirements concerning the data and the operations that need to be supported, and therefore new techniques and tools are needed for increased processing efficiency.
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© 2006 Springer-Verlag London Limited
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Manolopoulos, Y., Nanopoulos, A., Papadopoulos, A.N., Theodoridis, Y. (2006). R-trees in Spatiotemporal Databases. In: R-Trees: Theory and Applications. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84628-293-5_6
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DOI: https://doi.org/10.1007/978-1-84628-293-5_6
Publisher Name: Springer, London
Print ISBN: 978-1-85233-977-7
Online ISBN: 978-1-84628-293-5
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