GeoInformatica

, Volume 12, Issue 1, pp 1–20 | Cite as

Innovations in Individual Feature History Management—The Significance of Feature-based Temporal Model

  • Jinmu Choi
  • Jeong Chang Seong
  • Bora Kim
  • E. Lynn Usery
Article
  • 83 Downloads

Abstract

A feature relies on three dimensions (space, theme, and time) for its representation. Even though spatiotemporal models have been proposed, they have principally focused on the spatial changes of a feature. In this paper, a feature-based temporal model is proposed to represent the changes of both space and theme independently. The proposed model modifies the ISO’s temporal schema and adds new explicit temporal relationship structure that stores temporal topological relationship with the ISO’s temporal primitives of a feature in order to keep track feature history. The explicit temporal relationship can enhance query performance on feature history by removing topological comparison during query process. Further, a prototype system has been developed to test a proposed feature-based temporal model by querying land parcel history in Athens, Georgia. The result of temporal query on individual feature history shows the efficiency of the explicit temporal relationship structure.

Keywords

feature history explicit temporal relationship temporal primitives feature-based temporal model 

References

  1. 1.
    C. Armenakis. “Estimation and organization of spatio-temporal data”, in Proceedings of Canadian Conference on GIS92, Ottawa, Canada, pp. 900–911, 1992.Google Scholar
  2. 2.
    M.P. Armstrong. “Temporality in Spatial Databases,” in Proceedings of GIS/LIS ’88 (Volume 2), Bethesda, MD, 880–889, American Congress on Surveying and Mapping, 1988.Google Scholar
  3. 3.
    O. Balovnev, T. Bode, M. Breunig, A.B. Cremers, W. Muller, G. Pogodaev, S. Shumilov, J. Siebeck, A. Siehl, and A. Thomsen. “The story of the GeoToolKit-an object-oriented geodatabase kernel system,” GeoInformatica, Vol. 8(1):5–47, 2004.CrossRefGoogle Scholar
  4. 4.
    B.J.L. Berry. “Approaches to regional analysis: A synthesis,” Annals of the Association of American Geographers, Vol. 54(2):2–11, 1964.CrossRefGoogle Scholar
  5. 5.
    K.A.V. Borges, C.A. Davis Jr, and H.F. Laender. “OMT-G: An object-oriented data model for geographic applications,” GeoInformatica, Vol. 5(3):221–260, 2001.CrossRefGoogle Scholar
  6. 6.
    B. Claramunt and M. Theriault. “Managing time in GIS: an event oriented approach,” in J. Clifford and A. Atuzhilin (Eds.), Recent Advances on Temporal Database, 23–42, 1995.( Berlin Heidelberg New York: Springer).Google Scholar
  7. 7.
    J.R. Davis. IBM’s DB2 spatial extender: Managing geo-spatial information within the DBMS, Technical reports, Research Division, IBM, Yew Youk, NY, 1998.Google Scholar
  8. 8.
    Environmental Systems Research Institute (ESRI). ESRI MapObjects™ Version 2.0, Redlands, CA, Environmental Systems Research Institute, 1999.Google Scholar
  9. 9.
    Environmental Systems Research Institute (ESRI). Modeling Our World, Redlands, CA, Environmental Systems Research Institute, 1999.Google Scholar
  10. 10.
    Environmental Systems Research Institute (ESRI). ArcGIS 9: Building a Geodatabase, Redlands, CA, Environmental Systems Research Institute, 2004.Google Scholar
  11. 11.
    A. Galton. “Fields and objects in space, time, and space-time,” Spatial Cognition and Computation, Vol. 4(1):39–68, 2004.CrossRefGoogle Scholar
  12. 12.
    I. Graham. Object-oriented Methods: Principles and Practice. Pearson Education: London, 2001.Google Scholar
  13. 13.
    S.C. Guptill, K.J. Boyko, M.A. Domaratz, R.G. Fegeas, H.J. Rossmeissl, and E.L. Usery. An Enhanced Digital Line Graph Design, USGS Circular 1048, USGS: Restion, VA, 1990.Google Scholar
  14. 14.
    R.H. Güting, M.H. Böhlen, M. Erwig, C.S. Jensen, N.A. Lorentzos, M. Schneider, and M. Vazirgiannis. “A foundation for representing and querying moving objects,” ACM Transactions on Database Systems, Vol. 25(1):1–42, 2000.CrossRefGoogle Scholar
  15. 15.
    International Standard Organization (ISO). Geographic information-Temporal schema, ISO/DIS 19108, WWW documents, http://www.ncits.org/ref-docs/ISO_DIS_19108.pdf (last accessed 27 August 2006), 2000.
  16. 16.
    G. Langran and N.R. Chrisman. “A framework for temporal geographic information,” Cartographica, Vol. 25(3):1–14, 1988.Google Scholar
  17. 17.
    C.P. Lo and A.K.W. Yeung. Concepts and Techniques of Geographic Information Systems. Prentice-Hall: NJ, 2002.Google Scholar
  18. 18.
    D.J.L. Marceau, L. Guindon, M. Bruel, and C. Marois, “Building temporal topology in a GIS database to study the land-use changes in a rural-urban environment,” Professional Geographer, Vol. 53(4):546–558, 2001.CrossRefGoogle Scholar
  19. 19.
    Open Geospatial Consortium (OGC). Topic 1: feature geometry (ISO 19107 spatial schema) (Version 5), WWW documents, http://www.opengeospatial.org/standards/as (last accessed 27 August 2006), 2001.
  20. 20.
    Open Geospatial Consortium (OGC). Topic 5: features (Version 4), WWW documents, http://www.opengeospatial.org/standards/as (last accessed 27 August 2006), 1999.
  21. 21.
    Open Geospatial Consortium (OGC). Topic 8: Relationships between features (Version 4), WWW documents, http://www.opengeospatial.org/standards/as (last accessed 27 August 2006), 1999.
  22. 22.
    Open Geospatial Consortium (OGC). Topic 10: feature collections (Version 4), WWW documents, http://www.opengeospatial.org/standards/as (last accessed 27 August 2006), 1999.
  23. 23.
    Oracle Corporation. Oracle8: Database Administration: Vol. I, II, and III, Oracle Corporation: Redwood Shores, CA, 1998.Google Scholar
  24. 24.
    Oracle Corporation. Oracle8: Spatial Catridge, Oracle Corporation: Redwood Shores, CA, , 1997.Google Scholar
  25. 25.
    N. Pelekis, B. Theodoulidis, I. Kopanakis, and Y. Theodoridis. “Literature review of spatio-temporal database models,” Knowledge Engineering Review, Vol. 19(3):235–274, 2004.CrossRefGoogle Scholar
  26. 26.
    D.J. Peuquet. “It’s about time: A conceptual framework for the representation of temporal dynamics in Geographic Information Systems,” Annals of the Association of American Geographers, Vol. 84–3:441–461, 1994.CrossRefGoogle Scholar
  27. 27.
    D.J. Peuquet and N. Duan. “An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data,” International Journal of Geographical Information Systems, Vol. 9(1):7–23, 1995.CrossRefGoogle Scholar
  28. 28.
    J. Rumbaugh, M. Blaha, W. Premerlani, F. Eddy, and W. Lorensen. Object-Oriented Modelling and Design, Prentice-Hall: Englewood Cliffs, NJ, 1991.Google Scholar
  29. 29.
    R. Sengupta and C. Yan. “A hybrid spatio-temporal data model and structure (HST-DMS) for efficient storage and retrieval of land use information,” Transactions in GIS, Vol. 8(3):351–366, 2004.CrossRefGoogle Scholar
  30. 30.
    E.L. Usery, G. Timson, and M. Coletti. “A Multidimensional geographic feature system,” in Proceedings of GIScience 2002: The Second International Conference on Geographic Information Science, National Atmospheric and Oceanic Administration (NAOA), pp. 279–282, 2002.Google Scholar
  31. 31.
    U.S. Geological Survey. Spatial Data Transfer Standard (SDTS)-Part 1, Logical Specifications. American National Standards Institute: New York, 1997.Google Scholar
  32. 32.
    M.F. Worboys. “A model for spatio-temporal information,” In Proceeding of the Fifth International Symposium on Spatial Data Handling (Volume 2), in P. Bresnahan, E. Corwin, and D. Cowen. American Congress on Surveying and Mapping: San Jose, CA, pp. 602–611, 1992.Google Scholar
  33. 33.
    M.F. Worboys. “Object-oriented approaches to geo-referenced information,” International Journal of Geographic Information Systems, Vol. 8(4):385–399, 1994.CrossRefGoogle Scholar
  34. 34.
    M.F. Worboys. “A unified model for spatial and temporal information,” The Computer Journal, Vol. 37(1):26–34, 1994.CrossRefGoogle Scholar
  35. 35.
    M.F. Worboys. “Modelling changes and events in dynamic spatial systems with reference to socio-economic units,” in A.U. Frank, J. Raper, and J.P. Cheylan (Eds.), Life and Motion of Socio-Economic Units, pp. 129–138, Taylor and Francis, 2001.Google Scholar
  36. 36.
    M. Yuan. “Wildfire conceptual modeling for building GIS space-time models,” in Proceedings of GIS/LIS’94, Phoenix, Arizona, pp. 860–869, 1994.Google Scholar
  37. 37.
    M. Yuan. “Modeling semantical, temporal, and spatial information in geographic information systems,” in M. Craglia and H. Couclelis (Eds.), Geographic Information Research: Bridging the Atlantic, pp. 334–347, Taylor and Francis, 1996.Google Scholar
  38. 38.
    M. Yuan. “Use of a three-domain representation to enhance GIS support for complex spatiotemporal queries,” Transactions in GIS, Vol. 3(2):137–159, 1999.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Jinmu Choi
    • 1
  • Jeong Chang Seong
    • 2
  • Bora Kim
    • 3
  • E. Lynn Usery
    • 4
  1. 1.Department of GeosciencesMississippi State UniversityMississippi StateUSA
  2. 2.Department of GeosciencesUniversity of West GeorgiaCarrolltonUSA
  3. 3.Department of GeographySyracuse UniversitySyracuseUSA
  4. 4.US Geological SurveyRestonUSA

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