Advertisement

Time indeterminacy and spatio-temporal building transformations: an approach for architectural heritage understanding

  • Chiara StefaniEmail author
  • Livio De Luca
  • Philippe Véron
  • Michel Florenzano
Original Paper

Abstract

Nowadays most digital reconstructions in architecture and archeology describe buildings heritage as a whole of static and unchangeable entities. However, historical sites can have a rich and complex history, sometimes full of evolutions, sometimes only partially known by means of documentary sources. Various aspects condition the analysis and the interpretation of cultural heritage. First of all, buildings are not inexorably constant in time: creation, destruction, union, division, annexation, partial demolition and change of function are the transformations that buildings can undergo over time. Moreover, other factors sometimes contradictory can condition the knowledge about an historical site, such as historical sources and uncertainty. On one hand, historical documentation concerning past states can be heterogeneous, dubious, incomplete and even contradictory. On the other hand, uncertainty is prevalent in cultural heritage in various forms: sometimes it is impossible to define the dating period, sometimes the building original shape or yet its spatial position. This paper proposes a modeling approach of the geometrical representation of buildings, taking into account the kind of transformations and the notion of temporal indetermination.

Keywords

Building transformations Spatio-temporal modeling Temporal uncertainty Historic graphs Cultural heritage 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Breunig, B., Cremers, A.C., Müller, W., Siebeck, J.: 5th AGILE Conference on Geographic Information Science. In: Geographic Information Science, pp. 195–204, Palma (Mallorca), Spain, 25–27 April (2002)Google Scholar
  2. 2.
    Bustany-Leca, C., Bustany, D.: Vers une vision du forum d’Auguste. In: Virtual Retrospect 2005, vol. 2, pp. 103–106, Biarritz, France. Ausonius éditions (2005)Google Scholar
  3. 3.
    Dudek, I., Jean-Yves, B.: From artefact representation to information visualisation: Genesis of informative modelling. In: Smart Graphics, vol. 3638 of Lecture Notes in Computer Science, pp. 230–236, Frauenworth Cloister, Germany, Springer, LNCS (2005)Google Scholar
  4. 4.
    Dyreson C.E., Snodgrass R.T.: Supporting valid-time indeterminacy. ACM Trans. Database Syst. 23(1), 1–57 (1998)CrossRefGoogle Scholar
  5. 5.
    Erwig M., Güting R.H., Schneider M., Vazirgiannis M.: Spatio-temporal data types: an approach to modeling and querying moving objects in database. Geoinformatica 3(3), 269–296 (1999)CrossRefGoogle Scholar
  6. 6.
    Euzenat, J.: Granularité dans les représentations spatio-temporelles. Intelligence artificielle, systèmes cognitifs et interaction homme-machine 2242, Institut National de Recherche en Informatique et en automatique, Paris. Rapports de recherche de l’INRI (1994)Google Scholar
  7. 7.
    Fischer, B.: Mission and recent project of the UCLA cultural virtual reality laboratory. In: Virtual Retrospect 2005, vol. 2, pp. 65–74, Biarritz, France. Ausonius éditions (2005)Google Scholar
  8. 8.
    Gould, D.A.: Complete Maya Programming. An Extensive Guide to MEL and the C++ API, 1ère édn. Morgan Kaufmann, Los Altos, CA (2002)Google Scholar
  9. 9.
    Kavouras, M.: Understanding and modelling spatial change. In: Frank, A., Raper, J., Cheylan, J.P. (ed.) Life and Motion of Socio-Economic Units, number 8 in GISDATA, p. 348. London (2001)Google Scholar
  10. 10.
    Kienreich, W.: Information visualization–an oblique view. In: Journal MIA, vol. 0 of 1, Saint Maximin, France (2006)Google Scholar
  11. 11.
    Laboury, D., Morceau, V.: A new tool for 3D archeological and epigraphic recording. In: Virtual Retrospect 2005, vol. 2, pp. 60–66, Biarritz, France. Ausonius éditions (2005)Google Scholar
  12. 12.
    Lecocq, F.: Reconstitution virtuelle de rome antique. In: Virtual Retrospect 2003, vol. 1, pp. 77–84, Biarritz, France, Ausonius éditions (2003)Google Scholar
  13. 13.
    Léon, J.C., Véron, P., Pernot, J.P.: Obtaining usable 3D models from scanned archeological sites. In: Virtual Retrospect vol. 2, pp. 18–25, Biarritz, France, 2005. Ausonius éditions (2005)Google Scholar
  14. 14.
    De Luca, L.: Relevé et multi-représentation du patrimoine architectural : définition d’une approche de reconstruction 3D d’édifices. Engineering. ENSA Marseille (2006)Google Scholar
  15. 15.
    De Luca, L., Busarayat, C., Stefani, C., Véron, P., Florenzano, M.: An integrated framework to describe, analyze, document and share digital representations of architectural buildings. In: VAST2007–Future technologies to empower heritage professionals, Brighton, UK (2007)Google Scholar
  16. 16.
    Du Mouza, C., Rigaux, P.: Bases de données Spatio-Temporelles. In: Documents et évolution. publié dans le cadre de l’école thématique du GDR I3 (2000)Google Scholar
  17. 17.
    Pelekis N., Theodoulidis B., Kopanakis I., Theodoridis Y.: Literature review of spatio-temporal database models. Knowl. Eng. Rev 19(3), 235–274 (2004)CrossRefGoogle Scholar
  18. 18.
    Poux J.: La cité de Carcassonne, histoire et description. Privat E., Toulouse (1922)Google Scholar
  19. 19.
    Renolen, A.: Conceptual modelling and spatiotemporal information systems: How to model the real world. ScanGIS’97, pp. 1–22 (1–3 June 1997)Google Scholar
  20. 20.
    Renolen, A.: Generalization and data reduction in spatiotemporal data sets. Technical report, Department of Surveying and Mapping, Trondheim, Norway (1997)Google Scholar
  21. 21.
    Renolen, A.: Modelling spatiotemporal information: The spatiotemporal object model. Technical report, Department of Surveying and Mapping (IKO), The Norwegian Institute of Technology (1997)Google Scholar
  22. 22.
    Renolen, A.: Concepts end methods for modelling temporal and spatio-temporal information. PhD thesis, Norwegian University of Science and Technology, NTNU (1999)Google Scholar
  23. 23.
    Salonia, P., Negri, A., Valdarnini, L., Scolastico, S., Bellucci, V.: Quick photogrammetric systems applied to documentation of cultural heritage: the example of aosta roman city wall. In: CIPA 2005–XX International Symposium. Torino, Italy (2005)Google Scholar
  24. 24.
    Scolastico, S.: Innovative systems for 2D–3D documentation and conservation of cultural heritage. In: MIA Journal, vol. 0 of 2, pp. 41–46. Saint Maximin, France (2006)Google Scholar
  25. 25.
    Serrato-Combe, A.: From aztec pictograms to digital media. In: Jabi, W. (ed.) Reinventing the Discourse. How Digital Tools Help Bridge and Transform Research, Education and Practice in Architecture, pp. 34–43. Syracuse (2001)Google Scholar
  26. 26.
    Stojakovic, V., Tepavcevic, B.: Optimal methods for 3d modeling of devastated architectural objects. In: Proceedings of the 3rd ISPRS International Workshop 3D-ARCH 2009, vol. XXXVIII-5/W1, Trento. Fabio Remondino, Sabry El-Hakim Lorenzo Gonzo (2009)Google Scholar
  27. 27.
    Thomson, J., Hetzler, E., MacEachren, A.M., Gahegan, M., Pavel, M.: A typology for visualizing uncertainty. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol. 5669 of Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, pp. 146–157 (2005)Google Scholar
  28. 28.
    Wang, S., Liu, D.: Spatial query preprocessing in distributed GIS. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds.) GCC, vol. 3251 of Lecture Notes in Computer Science, pp. 737–744. Wuhan, China (2004)Google Scholar
  29. 29.
    Weber, C., Gançarski, P.: Revue Internationale de Géomatique. European Journal of GIS and Spatial Analysis, vol. 17 of Informations Géographiques (2007)Google Scholar

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Chiara Stefani
    • 1
    Email author
  • Livio De Luca
    • 1
  • Philippe Véron
    • 2
  • Michel Florenzano
    • 1
  1. 1.UMR CNRS/MCC 694 MAP, Modèles et simulations pour l’Architecture, l’Urbanisme et le PaysageMarseille Cedex 9France
  2. 2.UMR CNRS 6168 LSIS, Laboratoire des Sciences de l’Information et des SystèmesAix-en-Provence Cedex 1France

Personalised recommendations