Definition
A spatio-temporal trajectory can be straightforwardly defined as a function from the temporal I ⊆ ℝ domain to the geographical space ℝ2, i.e., the 2-dimensional plane. From an application point of view, a trajectory is the recording of an object’s motion, i.e., the recording of the positions of an object at specific timestamps.
Generally speaking, spatio-temporal trajectories can be classified into two major categories, according to the nature of the underlying spatial object: (i) objects without area represented as moving points, and (ii) objects with area, represented as moving regions; in this case the region extent may also change with time. Among the above two categories, the former has attracted the main part of the research interest, since the majority of real-world applications involving spatio-temporal trajectories consider objects represented as points, e.g., fleet management systems monitoring...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Almeida V.T. and Guting R.H. Indexing the trajectories of moving objects in networks. GeoInformatica, 9(1):33–60, 2005.
Arumugam S. and Jermaine C. Closest-point-of-approach join for moving object histories. In Proc. 22nd Int. Conf. on Data Engineering, 2006, p. 86.
Bakalov P., Hadjieleftheriou M., Keogh E., and Tsotras V. Efficient trajectory joins using symbolic representations. In Proc. 6th Int. Conf. on Mobile Data Management, 2005, pp. 86–93.
Brakatsoulas S., Pfoser D., Salas R., and Wenk C. On map-matching vehicle tracking data. In Proc. 31st Int. Conf. on Very Large Data Bases, 2005, pp. 853–864.
Chen L., Özsu M.T., and Oria V. Robust and fast similarity search for moving object trajectories, In Proc. ACM SIGMOD Int. Conf. on Management of Data, 2005, pp. 491–502.
Chomicki J. and Revesz P. A geometric framework for specifying spatiotemporal objects. In Proc. 6th Int. Workshop Temporal Representation and Reasoning, 1999, pp. 41–46.
Erwig M., Güting R.H., Schneider M., and Varzigiannis M. Spatio-temporal data types: an approach to modeling and querying moving objects in databases. GeoInformatica, 3(3):265–291, 1999
Frentzos E., Gratsias K., Pelekis N., and Theodoridis Y. Algorithms for nearest neighbor search on moving object trajectories. Geoinformatica, 11(2):159–193, 2007.
Frentzos E., Gratsias K., and Theodoridis Y. Index-based most similar trajectory search. In Proc. 23rd Int. Conf. on Data Engineering, 2007, pp. 816–825.
Forlizzi L., Güting Nardelli E., and Schneider M. A data model and data structures for moving objects databases. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 2000, pp. 319–330.
Guting R.H., Bohlen M.H., Erwig M., Jensen C.S., Lorentzos N.A., Schneider M., and Vazirgiannis M. A foundation for representing and querying moving objects. ACM Trans. Database Syst., 25(1):1–42, 2000.
Keogh E. Exact indexing of dynamic time warping. In Proc. 28th Int. Conf. on Very Large Data Bases, 2002, pp. 406–417.
Meratnia N. and By R. Spatiotemporal compression techniques for moving point objects. In Advances in Database Technology, Proc. 9th Int. Conf. on Extending Database Technology, 2004, pp. 765–782.
Pfoser D., Jensen C.S., and Theodoridis Y. Novel approaches to the indexing of moving object trajectories. In Proc. 26th Int. Conf. on Very Large Data Bases, 2000, pp. 395–406.
Tao Y., Kollios G., Considine J., Li F., and Papadias D. Spatio-temporal aggregation using sketches. In Proc. 20th Int. Conf. on Data Engineering, 2004, pp. 214–226.
Vlachos M., Kollios G., and Gunopulos D. Discovering similar multidimensional trajectories. In Proc. 18th Int. Conf. on Data Engineering, 2002, pp. 673–684.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this entry
Cite this entry
Frentzos, E., Theodoridis, Y., N. Papadopoulos, A. (2009). Spatio-Temporal Trajectories. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_364
Download citation
DOI: https://doi.org/10.1007/978-0-387-39940-9_364
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-35544-3
Online ISBN: 978-0-387-39940-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering