Synonyms
Definition
In a geospatial context, cycles can be defined as regularly repeated phenomena or events. According to the distribution of this kind of happening over time, cycles can be classified as strong periodic, near periodic, or intermittent. Strong periodicity refers to cycles in which the duration of every occurrence of the event is the same as is the temporal interval between two consecutive occurrences. Train schedules and tidal movements are examples of events with a strong periodic pattern of repetition. The second class of periodicity deals with events that occur regularly, but the occurrences do not necessarily have the same duration nor are they equally spaced in time. For this kind of cycle, the duration of events and the temporal gap between each of them may vary in a stochastic or deterministic manner. The spill of a geyser is an example of a near periodic event. The third class of periodicity deals with events...
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 subscriptionsReferences
Hornsby K, Egenhofer M, Hayes P (1999) Modeling cyclic change. In: Proceedings of the ER’99 workshops on advances in conceptual modeling, Paris. Lecture notes in computer science, vol 1727. Springer, Berlin, pp 98–109
Isli A (2001) On deciding consistency for CSPs of cyclic time intervals. In: Proceedings of the fourteenth international Florida artificial intelligence research society conference, Key West, 21–23 May 2001
Roddick JF, Spiliopoulou M (1999) A bibliography of temporal, spatial and spatiotemporal data mining research. SIGKDD Explor Newsl 1:34–38
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this entry
Cite this entry
Campos, J. (2017). Modeling Cycles in Geospatial Domains. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_806
Download citation
DOI: https://doi.org/10.1007/978-3-319-17885-1_806
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