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Geospatial Database for the Generation of Multidimensional Virtual City Models Dedicated to Urban Analysis and Decision-Making

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 11621)


The provision of a data base for the digital representation of a virtual spatial model is used as an example to demonstrate how a geographical problem solution can be achieved using modern service-based techniques and methods. Moreover it is explained which problems exist in the spectrum of digital twins and spatial databases with regard to the handling of ubiquitous geodata, which necessitate the conception of a new service-oriented approach. The database as the central medium towards a virtual representation of the urban environment is a particular focus. Ubiquitous geospatial data demand meaningful tools for integration and harmonisation, which are also included as part of a modular process chain. In this approach, procedures and workflow are designed on the basis of generic data models and standard schemes, with the aim of ensuring transparency and transferability, both methodologically and spatially. A workflow describing data acquisition, processing and utilisation is presented and exemplified by the Middle Eastern agglomeration region of East Jerusalem.


  • Multidimensional virtual city model
  • Web-based platform
  • Database
  • Data model
  • Stereo imagery
  • Service-oriented computing
  • East Jerusalem

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  1. Loibl, W., Etminan, G., Gebetsroither-Geringer, E., Neumann, H.M., Sanchez-Guzman, S.: Characteristics of urban agglomerations in different continents: history, patterns, dynamics, drivers and trends. In: Urban Agglomeration. IntechOpen (2018)

    Google Scholar 

  2. Insee (Institut national de la statistique et des études économiques). Accessed 03 Apr 2019

  3. Miller, H.J., Goodchild, M.F.: Data-driven geography. GeoJournal 80(4), 449–461 (2015)

    CrossRef  Google Scholar 

  4. Mucksch, H., Behme, W. (eds.): Das Data Warehouse-Konzept: Architektur-Datenmodelle-Anwendungen. Springer, Heidelberg (2013)

    Google Scholar 

  5. Hart, G., Dolbear, C.: Linked Data: A Geographic Perspective. CRC Press, Boca Raton (2016)

    CrossRef  Google Scholar 

  6. Tolpekin, V.A. Stein, A.: The core of GIScience: a systems - based approach. ITC Educational Textbook Series; no. 2012. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede (2012)

    Google Scholar 

  7. Burrough, P.A., McDonnell, R., McDonnell, R.A., Lloyd, C.D.: Principles of Geographical Information Systems. Oxford University Press, Oxford (2015)

    Google Scholar 

  8. Fricke, A., Döllner, J., Asche, H.: Servicification – trend or paradigm shift in geospatial data processing? In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10962, pp. 339–350. Springer, Cham (2018).

    CrossRef  Google Scholar 

  9. Worboys, M.F.: A unified model for spatial and temporal information. Comput. J. 37(1), 26–34 (1994)

    CrossRef  Google Scholar 

  10. Lü, G., et al.: Geographic scenario: a possible foundation for further development of virtual geographic environments. Int. J. Dig. Earth 11(4), 356–368 (2018)

    CrossRef  Google Scholar 

  11. Galton, A.: Fields and objects in space, time and space-time. Spat. Cogn. Comput. J. 4(1), 39–68 (2004)

    CrossRef  Google Scholar 

  12. Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F.: Digital twin-driven product design, manufacturing and service with big data. Int. J. Adv. Manuf. Technol. 94(9–12), 3563–3576 (2018)

    CrossRef  Google Scholar 

  13. Rigaux, P., Scholl, M., Voisard, A.: Spatial Databases: With Application to GIS. Morgan Kaufmann, San Francisco (2002)

    Google Scholar 

  14. Milz, D., Zellner, M., Hoch, C., Radinsky, J., Pudlock, K., Lyons, L.: Reconsidering scale: using geographic information systems to support spatial planning conversations. Plan. Pract. Res. 33(3), 291–308 (2018)

    Google Scholar 

  15. Nama, G.F., Ulvan, M., Ulvan, A., Hanafi, A.M.: Design and implementation web based geographic information system for public services in Bandar Lampung City—Indonesia. In: 2015 International Conference on Science in Information Technology (ICSITech), pp. 270–275. IEEE, October 2015

    Google Scholar 

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The work discussed here is part of a larger R+D project on East Jerusalem with Palestinian, East Jerusalem, and NGO partners funded by the European Union. Part of this research work is supported by a PhD grant from the HPI Research School for Service-Oriented Systems Engineering at the Hasso Plattner Institute for Digital Engineering, University of Potsdam. The funding of both institutions is gratefully acknowledged.

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Correspondence to Andreas Fricke .

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Fricke, A., Asche, H. (2019). Geospatial Database for the Generation of Multidimensional Virtual City Models Dedicated to Urban Analysis and Decision-Making. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11621. Springer, Cham.

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  • Print ISBN: 978-3-030-24301-2

  • Online ISBN: 978-3-030-24302-9

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