Systems and Means of Informatics
2022, Volume 32, Issue 3, pp 50-62
OVERVIEW OF APPROACHES TO SPACE-TIME MODELING AND THE MAIN TRENDS IN THE DEVELOPMENT OF T-GIS
Abstract
The purpose of the work is to consider the characteristic features of a number of basic approaches and their corresponding models of spatiotemporal (temporal) geodata models proposed in recent decades and to identify the main trends in the development of spatiotemporal modeling for temporal geoinformation systems (T-GIS). It is noted that it is not necessary to talk about a general approach to spatiotemporal geomodeling due to the variety of requirements and features inherent in specific tasks of specific T-GIS. Graph-based modeling of events and processes, an agent-oriented approach, the use of the paradigm of moving objects, as well as the integration of these approaches together are important areas.
[+] References (29)
- Siabato, W., C. Claramunt, S. Ilarri, and M. A. Manso-Callejo. 2018. A survey of modelling trends in temporal GIS. ACM Comput. Surv. 51(2):30. 41 p. doi: 10.1145/ 3141772.
- Langran, G., and N. R. Chrisman. 1988. A framework for temporal geographic information. Cartographica 25(3): 1-14.
- Yuan, M. 1999. Use of a three-domain representation to enhance GIS support for complex spatiotemporal queries. T. GIS 3(2): 137-159.
- Yuan, M., and K. S. Hornsby. 2008. Computation and visualization for understanding dynamics in geographic domains: A research agenda. Boca Raton, FL: CRC Press. 120 p.
- Galton, A. P., and M. F. Worboys. 2005. Processes and events in dynamic geonetworks. GeoSpatial semantics. Eds. A. Rodriguez, I. F. Cruz, M. J. Egenhofer, and
S. Levashkin. Berlin: Springer Verlag. 45-59.
- Peuquet, D.J., and E.A. Wentz. 1994. An approach for time-based analysis of spatiotemporal data. 6th Symposium (International) on Spatial Data Handling Proceedings. Eds. T. C. Waugh and R. G. Healey. London: Taylor & Francis. 489-504.
- Pelekis, N., B. Theodoulidis, I. Kopanakis, and Y. Theodoridis. 2004. Literature review of spatio-temporal database models. Knowl. Eng. Rev. 19(3):235-274.
- Peuquet, D.J., and N. Duan. 1995. An event-based spatiotemporal datamodel (ESTDM) for temporal analysis of geographical data. Int. J. Geogr. Inf. Syst. 9(1):7-24.
- Yuan, M. 2001. Representing complex geographic phenomena in GIS. Cartogr. Geogr. Inf. Sc. 28(2):83-96.
- Sengupta, R., and C. Yan. 2004. A hybrid spatio-temporal data model and structure (HST-DMS) for efficient storage and retrieval of land use information. T. GIS 8(3):351-366.
- Claramunt, C., and M. Theriault. 1995. Managing time in GIS: An event-oriented approach. Recent advances in temporal databases. Eds. J. Clifford and A. Tuzhilin. London: Springer Verlag. 23-42.
- Allen, E., G. Edwards, and Y. Bedard. 1995. Qualitative causal modeling in temporal GIS. Spatial information theory. A theoretical basis for GIS. Eds. A.U. Frank and W. Kuhn. Berlin: Springer Verlag. 397-412.
- Worboys, M.F. 2005. Event-oriented approaches to geographic phenomena. Int. J. Geogr. Inf. Sci. 19 (1): 1 -28.
- Worboys, M.F., and M. Duckham. 2006. Monitoring qualitative spatiotemporal change for geosensor networks. Int. J. Geogr. Inf. Sci. 20(10): 1087-1108.
- Renolen, A. 1996. History graphs: Conceptual modeling of spatio-temporal data. GIS Frontiers in Business and Science Conference Proceedings. Ed. M. Konecny. Bern: International Cartographic Association. Vol. 2. 46 p.
- Del Mondo, G., M. A. Rodriguez, C. Claramunt, L. Bravo, and R. Thibaud. 2013. Modeling consistency of spatio-temporal graphs. Data Knowl. Eng. 84:59-80.
- Ibanez, A.M., and A.V. Hoehne. 2010. Diseno de primitivas geometricas espacio- temporales para describer fenoemenos dinaemicos. GeoFocus 10(1):232-251.
- Claramunt, C., M. Theriault, and C. Parent. 1998. A qualitative representation of evolving spatial entities in two-dimensional topological spaces. Innovations in GIS 5: 5th National Conference on GIS Research UK Selected Papers. Ed. S. Carver. London: Taylor & Francis. 121-131.
- Yang, Y., and C. Claramunt. 2003. A process-oriented multi-representation of gradual changes. J. Geographic Information Decision Analysis 7(1): 1-13.
- Goodchild, M.F., M. Yuan, and T.J. Cova. 2007. Towards a general theory of geographic representation in GIS. Int. J. Geogr. Inf. Sci. 21(3):239-260.
- Bian, L. 2000. Object-oriented representation for modelling mobile objects in an aquatic environment. Int. J. Geogr. Inf. Sci. 14(7):603-623.
- Worboys, M.F., H. M. Hearnshaw, andD.J. Maguire. 1990. Object-oriented data modelling for spatial databases. Int. J. Geogr. Inf. Syst. 4(4):369-383.
- Khaddaj, S., A. Adamu, and M. Morad. 2005. Construction of an integrated object oriented system for temporal GIS. American J. Applied Sciences 2(12): 1584-1594.
- Wolfson, O., and E. Mena. 2005. Applications of moving objects databases. Spatial databases: Technologies, techniques and trends. Eds. Y. Manolopoulos, A. Papadopou- los, and M. G. Vassilakopoulos. Hershey, PA: IGI Global. 186-203.
- Demsar, U., K. Buchin, F. Cagnacci, K. Safi, B. Speckmann, N. Van de Weghe, D. Weiskopf, and R. Weibel. 2015. Analysis and visualisation of movement: An interdisciplinary review. Movement Ecology 3(1):5. 54 p.
- Pena, J.L. H., and M.Y. Santos. 2011. Representing, storing and mining moving objects data. World Congress on Engineering Proceedings. Eds. S. I. Ao, L. Gelman, D. W. Hukings, A. Hunter, and A. M. Korsunsky. Kwun Tong: Newswood Ltd. 1823-1828.
- Hajari, H., andF. Hakimpour. 2014. A spatial data model for moving object databases. Int. J. Database Management Systems 6(1): 1 -20.
- Goodchild, M.F. 2013. Prospects for a space-time GIS. Ann. Assoc. Am. Geogr. 103(5): 1072-1077.
- Yu, C., and D. J. Peuquet. 2009. A geoagent-based framework for knowledge-oriented representation: Embracing social rules in GIS. Int. J. Geogr. Inf. Sci. 23(7):923-960.
[+] About this article
Title
OVERVIEW OF APPROACHES TO SPACE-TIME MODELING AND THE MAIN TRENDS IN THE DEVELOPMENT OF T-GIS
Journal
Systems and Means of Informatics
Volume 32, Issue 3, pp 50-62
Cover Date
2022-06-11
DOI
10.14357/08696527220305
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
modeling of geographical phenomena; evolution of geo objects; temporal geoinformation system; spatiotemporal geodata database; classification of temporal geomodels
Authors
D. A. Nikishin 
Author Affiliations
Federal Research Center "Computer Science and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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