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A Quasi-Four Dimensional Database for the Built Environment

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Digital Earth Moving

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2181))

Abstract

The growth of cities represents huge problems for modern societies. The explanation of the phenomena involves the description true 3Dspace as well as changes over time. However, there is a general lack of true 4Ddata. The current paper describes how to combine generally available spatial databases and administrative registers to create a quasi- 4Ddatabase for the built environment. Although this 4Ddatabase might seem simple, it is used widely in urban planning and environmental monitoring and modelling.

Acknowledgements

I would like to acknowledge the financial support from the Ministry of Environment and Energy and helpful suggestions during the course of this research from Steen Solvang Jensen (NERI) and Hans SkovPetersen (National Forest and Landscape Research Institute).

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References

  1. Acevedo, W. & Masuoka, P. (1997). Time-series animation techniques for visualizing urban growth. Computers & Geosciences, vol. 23, pp. 423–435.

    Article  Google Scholar 

  2. Eggers, O. (1996). TOP10DK-Danish solution to digital topographical mapping. In: M. Rumor,., R. McMillan & Ottens, H.F.L. (eds.): Geographical Information. From Research to Application through Cooperation. 2 nd Joint European Conference & Exhibition on Geographical Information. Barcelona, Spain, 1996. IOS Press. pp. 999–1002.

    Google Scholar 

  3. Förstner, W. (1999). 3D-City Models: Automatic and Semiautomatic Acquisition Methods. In Fritsch, D. & Spiller, R. (eds): Photogrammetric Week’99, Wichmann, Karlsruhe.

    Google Scholar 

  4. Hansen, H.S., Jensen, S.S. & Berkowicz, R. (1997): Estimating Street Air Quality Using a 21/2 Dimensional Urban Landscape Model. Den Store Nordiske GIS-Konference. Kolding 29.-31. oktober 1997. DAiSI, DKS, DSFL, AM/FM-GIS Nordic Region.

    Google Scholar 

  5. Hansen, H.S. (1999). Integrating digital maps and administrative registers-Danish experiences. 21 st Urban Data Management Symposium, 21–23 april 1999, Venezia.

    Google Scholar 

  6. Hansen, H.S. (2001). A time-series animation of urban growth in Copenhagen metropolitan Area. In Bjørke, J.T. & Tveite, H. (eds.): Proceedings 8 th Scandinavian Research Conference on Geographical Information Science, Ås, Norway, pp. 225–235.

    Google Scholar 

  7. Jensen, S.S., Berkowicz, R., Hansen, H.S. & Hertel, O. (2001) A Danish decision support GIS tool for management of urban air quality and human exposures. Journal of Transportation Research. Part DT ransport and Environment, vol. 6, pp. 229–241.

    Article  Google Scholar 

  8. Könninger, A. & Bartel, S. (1998). 3D-GIS for urban purposes. GeoInformatica, vol. 2, pp. 79–103.

    Article  Google Scholar 

  9. Langran, G. (1992).Time in Geographic Information Systems. Taylor & Francis, London.

    Google Scholar 

  10. National Survey and Cadastre (1997). The Digital Cadastral Map-User Guide. National Survey and Cadastre, Copenhagen, 1997. (in Danish)

    Google Scholar 

  11. National Survey & Cadastre (1999). User Guide for the Building & Dwelling Register. National Survey and Cadastre, Copenhagen, 1999. (in Danish)

    Google Scholar 

  12. Peuquet, D.J. & Duan, N. (1995). An event-based spatio-temporal data model (ESTDM) for temporal analysis of geographical data. Int. J. Geographical Information Systems, vol. 9, pp. 7–24.

    Article  Google Scholar 

  13. UNECE (1998). The Aarhus Convention. http://www.unece.org/env/pp/contentofaarhus.htm

  14. Worboys, M.F. (1995). GIS: A Computing Perspective. Taylor & Francis, London.

    Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Hansen, H.S. (2001). A Quasi-Four Dimensional Database for the Built Environment. In: Westort, C.Y. (eds) Digital Earth Moving. Lecture Notes in Computer Science, vol 2181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44818-7_9

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  • DOI: https://doi.org/10.1007/3-540-44818-7_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42586-1

  • Online ISBN: 978-3-540-44818-1

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