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Temporal GIS and Applications

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Synonyms

Spatio-temporal information systems; Spatio-temporal informatics; Process; Snapshots; Matrices, geographic; Interaction, space-time; Timestamps; Event; Movement; Activity; Ontology, spatio-temporal; SNAP; SPAN; Reasoning, spatio-temporal

Definition

Geographic information is inherently spatial and temporal. Geographic applications often demand an integrative approach to examine changes and interactions over space and time. Temporal geographic information systems (GIS) are defined here as GIS capable of incorporating temporality into geospatial databases and enabling spatiotemporal query, analysis, and modeling. Adding time into geospatial databases is a far from trivial task. Currently, commercial or public‐domain temporal GIS support cell-based spatial data (i. e., rasters) or spatial data objects with one or restricted sets of simple geometries, mostly point- or line-based data only. Research-grade temporal GIS remain limited to pilot studies or prototypes....

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Notes

  1. 1.

    The SNAP ontology is consistent with the map metaphor that addresses reality through a series of snapshots. Hence, geographic entities are occurrents at a given point in time. On the other hand, the SPAN ontology applies the idea of 4‐dimensionalism in which geographic entities are defined by their volumes in 3D space and 1D temporal occupancy as space-time continuants.

Recommended Reading

  1. Langran, G.: Time in geographic information systems. Taylor and Francis, London (1992)

    Google Scholar 

  2. Christakos, G., Bogaert, P., Serre, M.: Temporal GIS: Advanced Functions for Field-Based Applications. Springer, New York (2002)

    Google Scholar 

  3. Egenhofer, M.J., Golledge, R.G. (eds.): Spatial and Temporal Reasoning in Geographic Information Systems. Oxford University Press, New York (1998)

    Google Scholar 

  4. Frank, A.U.: Ontology for spatio‐temporal databases. In: Koubarakis, M., Sellis, T.K., Frank, A.U. (eds.) Spatiotemporal Databases: the Chorochronos Approach, pp. 9–77. Springer-Verlag, Berlin (2003)

    Google Scholar 

  5. O'Sullivan, D.: Geogrpahical information science: time changes everything. Prog. Hum. Geogr. 29, 749–756 (2005)

    Article  Google Scholar 

  6. Yuan, M.: Use of a three-domain repesentation to enhance GIS support for complex spatiotemporal queries. Trans. GIS 3, 137–159 (1999)

    Article  Google Scholar 

  7. Peuquet, D.J., Duan, N.: An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data. Int. J. Geogr. Inf. Syst. 9(7) (1995)

    Article  Google Scholar 

  8. Worboys, M.F.: Event-oriented approaches to geographic phenomena. Int. J. Geogr. Inf. Sci. 19, 1–28 (2005)

    Article  Google Scholar 

  9. Mark, D.M., Egenhofer, M.J.: Geospatial lifelines. In: Gunther, O., Sellis, T., Theodoulidis, B. (eds.). Integrating Spatial and Temporal Databases. Dagstuhl-Seminar-Report No. 228, http://timelab.co.umist.ac.uk/events/dag98/report.html, Schloss Dagstuhl, Germany (1998)

  10. Goodchild, M.F., Yuan, M., Cova, T.J.: Towards a general theory of geographic representation in GIS. Int. J.~Geogr. Inf. Sci. 21, 239–260 (2007)

    Article  Google Scholar 

  11. Frank, A., Grumbach, S., Guting, R.H., Jensen, C.S., Koubarakis, M., Lorentzos, N., Manolopoulos, Y., Nardelli, E., Pernici, B., H.-J. Schek, Scholl, M., Sellis, T., Theodoulidis, B., Widmayer, P.: Chorochronos: a research network for spatiotemporal database systems. SIGMOD Rec. 28, 12–21 (1999)

    Article  Google Scholar 

  12. Hornsby, K., Egenhofer, M.J.: Modeling moving objects over multiple granularities. Ann. Math. Artificial Intell. 36, 177–194 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  13. Yuan, M., McIntosh, J.: A typology of spatiotemporal information queries. In: Shaw, K., Ladner, R., Abdelguerfi, M. (eds.) Mining Spatiotemporal Information Systems. Kluwer, Norwell, Massachusetts, USA (2002)

    Google Scholar 

  14. Miller, H.: Modeling accessiblity using space-time prism concepts within a GIS. Int. J.~Geogr. Inf. Syst. 5, 287–301 (1991)

    Article  Google Scholar 

  15. Torrens, P.M.: Simulating sprawl. Ann. Assoc. Am. Geogr. 96, 248–275 (2006)

    Article  Google Scholar 

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© 2008 Springer-Verlag

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Yuan, M. (2008). Temporal GIS and Applications. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_1373

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