Synonyms
Historical spatio-temporal access methods; Indexing the past; Trajectory indexing
Definition
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.
Historical Background
The rapid increase in spatio-temporal...
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsRecommended Reading
Becker B, Gschwind S, Ohler T, Seeger B, Widmayer P. An asymptotically optimal multiversion B-tree. VLDB J. 1996;5(4):264–75.
Burton FW, Kollias JG, Matsakis DG, Kollias VG. Implementation of overlapping B-trees for time and space efficient representation of collections of similar files. Comput J. 1990;33(3):279–80.
Chakka VP, Everspaugh A, Patel JM. Indexing large trajectory data sets with SETI. In: Proceedings of the 1st Biennial Conference on Innovative Data Systems Research; 2003.
Guttman A. R-Trees: a dynamic index structure for spatial searching. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1984. p. 47–57.
Hadjieleftheriou M, Kollios G, Tsotras VJ, Gunopulos D. Efficient indexing of spatiotemporal objects. In: Advances in Database Technology, Proceedings of the 8th International Conference on Extending Database Technology; 2002. p. 251–68.
Kollios G, Tsotras VJ, Gunopulos D, Delis A, Hadjieleftheriou M. Indexing animated objects using spatiotemporal access methods. IEEE Trans Knowl Data Eng. 2001;13(5):758–77.
Lomet DB, Salzberg B. Access methods for multiversion data. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1989. p. 315–24.
Nascimento MA, Silva JRO. Towards historical R-trees. In: Proceedings of the 1998 ACM Symposium on Applied Computing; 1998. p. 235–40.
Pfoser D, Jensen CS, Theodoridis Y. Novel approaches in query processing for moving object trajectories. In: Proceedings of the 26th International Conference on Very Large Data Bases; 2000. p. 395–406.
Song Z, Roussopoulos N. SEB-tree: an approach to index continuously moving objects. In: Proceedings of the 4th International Conference on Mobile Data Management; 2003. p. 340–4.
Tao Y, Papadias D. Efficient historical R-trees. In: Proceedings of the 13th International Conference on Scientific and Statistical Database Management; 2001. p. 223–32.
Tao Y, Papadias D. MV3R-Tree: a spatio-temporal access method for timestamp and interval queries. In: Proceedings of the 27th International Conference on Very Large Data Bases; 2001. p. 431–40.
Theodoridis Y, Vazirgiannis M, Sellis T. Spatio-temporal indexing for large multimedia applications. In: Proceedings of the International Conference on Multimedia Computing and Systems; 1996. p. 441–8.
Tzouramanis T, Vassilakopoulos M, Manolopoulos~Y. Overlapping linear quadtrees: a spatio-temporal access method. In: Proceedings of the 6th International Symposium on Advances in Geographic Information Systems; 1998. p. 1–7.
Xu X, Han J, Lu W. RT-Tree: an improved R-tree indexing structure for temporal spatial databases. In: Proceedings of the International Symposium on Spatial Data Handling; 1990. p. 1040–9.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC, part of Springer Nature
About this entry
Cite this entry
Mokbel, M.F., Aref, W.G. (2018). Indexing Historical Spatiotemporal Data. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_198
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8265-9_198
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-8266-6
Online ISBN: 978-1-4614-8265-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering