Definition
An object changes if and only if there exists a property for this object and distinct time stamps t and t′ such that the object has property P at time stampt and the object does not have propertyP at time stamp t′. An important classification of changes is based on the difference between discontinuous and continuous changes. Discontinuous changes have values of properties that change instantaneously from one value to another (such as the change of the owner of a parcel). On the other hand, the values of attributes of continuously changing data potentially change at each instant of time and can be typically represented by a line without discontinuities.
A typical example of a continuous change is movement. If the same object is positioned at different locations at different times, the object moves. A movement defines a trajectory, which is a connected non-branching continuous line with a certain shape and direction, and can be easily represented by the path of a thrown ball...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Allen J (1983) Maintaining knowledge about temporal intervals. Commun ACM 26(11):832–843
Andrienko G, Andrienko N, Bak P, Keim D, Wrobel S (2013) Visual analytics of movement. Springer, Heidelberg, p 387
Claramunt C, Jiang B (2000) Hierarchical reasoning in time and space. In: Forer P, Yeh AGO, He J (eds) Proceedings of the international symposium on spatial data handling, pp 41–51
Claramunt C, Jiang B (2001) An integrated representation of spatial and temporal relationships between evolving regions. J Geograph Syst 3:411–428
Demsar U, Buchin K, Cagnacci F, Safi K, Speckmann B, Van de Weghe N, Weiskopf D, Weibel R (2015) Analysis and visualisation of movement: an interdisciplinary review. Mov Ecol 3(5):292–318
Dodge S, Weibel R, Lautenschütz K (2008) Towards a taxonomy of movement patterns. Inf Vis 2008:1–13
Erwig M, Güting R, Schneider M, Vazirgiannis M (1999) Spatio-temporal data types: an approach to modelling objects in databases. Geoinformatica 3(3):269–296
Freksa C (1992) Temporal reasoning based on semi-intervals. Artif Intell 54:199–227
Gottfried B (2009) Interpreting motion events of pairs of moving objects. Geolnformatica 15(2):247–271
Hagerstrand T (1970) What about people in regional science? Pap Reg Sci Assoc 24:7–21
Hazarika S, Cohn A (2001) Qualitative spatio-temporal continuity. In: Montello D (ed) Proceedings of the international conference on spatial information theory. Lecture notes in computer science, vol 2205, pp 92–107
Hernandez D, Jungert E (1999) Qualitative motion of point-like objects. J Vis Lang Comput 10:269–289
Hornsby K, Egenhofer M (2000) Identity-based change: a foundation for spatio-temporal knowledge representation. Int J Geograph Inf Sci 14(3):207–224
Hornsby K, Egenhofer M (2002) Modeling moving objects over multiple granularities. Ann Math Artif Intell 36:177–194
Laube P (2005) Analysing point motion: spatio-temporal data mining of geospatial lifelines. PhD thesis, University of Zurich, Zurich
Laube P, Imfeld S (2002) Analyzing relative motion within groups of trackable moving point objects. In: Egenhofer M, Mark D (eds) GIScience 2002 proceedings. Lecture notes in computer science, vol 2478, pp 142–144
Laube P, Imfeld S, Weibel R (2005) Discovering relative motion patterns in groups of moving point objects. Int J Geograph Inf Sci 19(6):639–668
Long J, Nelson T (2012) A review of quantitative methods for movement data. Int J Geograph Inf Sci 27(2): 292–318
Martinez-Martin E, Escrig M, del Pobil A (2012) A general qualitative spatio-temporal model based on intervals. J Univ Comput Sci 18(10):1343–1378
Muller P (1998) A qualitative theory of motion based on spatiotemporal primitives. In: Cohn A, Schubert L, Shapiro S (eds) Proceedings of the international conference on principles of knowledge representation and reasoning, pp 131–142
Noyon V, Claramunt C, Devogele T (2007) A relative representation of trajectories in geogaphical spaces. Geolnformatica 11(4):479–496
Randell D, Cui Z, Cohn A (1992) A spatial logic based on regions and connection. In: Nebel B, Swartout W, Rich C (eds) Proceedings of the international conference on knowledge representation and reasoning, pp 165–176
Renso C, Spaccapietra S, Zimanyi E (2013) Mobility data: modeling, management, and understanding. Cambridge University Press, Cambridge, p 378
Van de Weghe N (2004) Representing and reasoning about moving objects: a qualitative approach. PhD thesis, Ghent University, Belgium
Van de Weghe N, Kuijpers B, Bogaert P, De Maeyer P (2005a) A qualitative trajectory calculus and the composition of its relations. Proc Geosp Semant 3799:60–76
Van de Weghe N, De Maeyer P (2005b) Conceptual neighborhood diagrams for representing moving objects. Lect Notes Comput Sci 3770:228–238
Van de Weghe N, Cohn A, De Maeyer P, Witlox F (2005c) Representing moving objects in computer based expert systems: the overtake event example. Exp Syst Appl 29(4):977–983
Van de Weghe N, Cohn A, De Tré B, De Maeyer P (2006) A qualitative trajectory calculus as a basis for representing moving objects in geographical information systems. Control Cybern 35(1):97–120
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this entry
Cite this entry
Van de Weghe, N. (2017). Spatiotemporal Relations for Moving Objects. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1542
Download citation
DOI: https://doi.org/10.1007/978-3-319-17885-1_1542
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17884-4
Online ISBN: 978-3-319-17885-1
eBook Packages: Computer ScienceReference Module Computer Science and Engineering