Skip to main content

Visually Analyzing Evolution of Geographic Objects at Different Levels of Details Over Time

  • Conference paper
  • First Online:
Context-Aware Systems and Applications, and Nature of Computation and Communication (ICCASA 2018, ICTCC 2018)

Abstract

Evolutionary history of geographic objects (EHGOS) in three-dimensional (3D) space at different levels of details (DLODS) over time is due to natural law or imposed by humans and always goes on every day. To represent visualization this evolutionary history, this paper proposes visual analysis of EHGOS at DLODS over time, results of visual analysis are a model of representation of visualization of GOS at DLODS over time, this model is called TLODS. Time is the class that records the time of formation and loss of GOS. Time in this paper is divided into three main categories and integrate into the TLODs model, namely legal time (LTS), event time (ETS), and database time (DTS). When manipulating queries can be either point of time or period of time in three types of time. This paper presents the experimental setup of the TLODS model in Oracle 11G and incorporating in C# to represent typical forms. Experimental results show that it can be applied to the management of urban technical infrastructure in practice.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Dang, P.V, Tran, V.P.: Visual representation of geographic objects in 3D space at levels of different details. In: The 10th National Conference on Fundamental and Applied IT Research – FAIR 2010, Da Nang, 08/2017, pp. 979–988 Natural Science and Technology Publishing House (2017). https://doi.org/10.15625/vap.2017.000115. ISBN 978-604-913-614-6

  2. Ding, Y., et al.: Extrusion approach based on non-overlapping footprints for the construction of geometric models and topologies in 3D cadasters. ISPRS Int. J. Geo-Inf. 6(8), 232 (2017). https://doi.org/10.3390/ijgi6080232. (cc by 4.0)

    Article  Google Scholar 

  3. Anh, N., Vinh, P.T., Duy, H.K.: A study on 4D GIS spatio-temporal data model. In: Proceedings of IEEE 4th Conference on Knowledge and Systems Engineering, KSE 2012, Danang, Vietnam, August 2012. IEEE Computer Society Order Number P4670 (2012). ISBN 978-0-7695-4760-2

    Google Scholar 

  4. Groger, G., et al.: City Geography Markup Language Encoding Standard. Open Geospatial Consortium Inc. (2008)

    Google Scholar 

  5. Kolbe, T.H.: Representing and exchanging 3D city models with CityGML. In: Lee, J., Zlatanova, S. (eds.) 3D Geo-Information Sciences, pp. 15–31. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-87395-2_2

    Chapter  Google Scholar 

  6. Biljecki, F., et al.: An improved LOD specification for 3D building models. Comput. Environ. Urban Syst. 59, 25–37 (2016)

    Article  Google Scholar 

  7. Dang, P.V., et al.: Levels of detail for surface in urban data model. In: International Conference on Future Information Technology – ICFIT, Singapore, vol. 13, pp. 460–464 (2011). ISBN 978-981-08-9916-5

    Google Scholar 

  8. Anh, N.G., Vinh, P.T., Vu, T.P., Van Pham, D., Sy, A.T.: Representing multiple levels for objects in three-dimensional GIS model. In: The 13th International Conference on Information Integration and Web-Based Applications & Service (iiWAS2011), pp. 495–498. ACM Press, Vietnam (2011). ISBN 978-1-4503-0784-0

    Google Scholar 

  9. Löwner, M.O., et al.: Proposal for a new LOD and multi-representation concept for CityGML. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. IV(2/W1), 3–12 (2016)

    Article  Google Scholar 

  10. Aydar, S.A., et al.: Establishing a national 3D geo-data model for building data compliant to CityGML: case of Turkey. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLI-B2, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic (2016)

    Google Scholar 

  11. Coors, V.: 3D-GIS in networking environments. Comput. Environ. Urban Syst. 27(4), 345–357 (2003)

    Article  Google Scholar 

  12. Rahman, A.A.: Developing three-dimensional topological model for 3D GIS. Project Report, UTM (2005)

    Google Scholar 

  13. Rahman, A.A.: Spatial Data Modeling for 3D GIS. Springer, Berlin (2008). https://doi.org/10.1007/978-3-540-74167-1

    Book  Google Scholar 

  14. Gröger, G., et al.: Representation of a 3D city model in spatial object-relational databases. In: XXth ISPRS Congress, Geo-Imagery Bridging Continents, Commission 4 (2004)

    Google Scholar 

  15. Tet-Khuan, C., Abdul-Rahman, A., Zlatanova, S.: 3D spatial operations in geo DBMS environment for 3D GIS. In: Gervasi, O., Gavrilova, M.L. (eds.) ICCSA 2007. LNCS, vol. 4705, pp. 151–163. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74472-6_12

    Chapter  Google Scholar 

  16. Chokri, K., Koehl, M.: A simplified geometric and topological modeling of 3D building enriched by semantic data: combination of surface-based and solid-based representations. In: ASPRS 2009 Annual Conference Baltimore, Maryland (2009)

    Google Scholar 

  17. Swanson, J.: The Three Dimensional Visualization & Analysis of Geographic Data. Maps.unomaha.edu/Peterson/gis/Final_Projects/1996/Swanson/GIS_Paper.html. Accessed Apr 2017

  18. Lieberwirth, U.: 3D GIS Voxel-Based Model Building in Archaeology. Archaeopress, Oxford (2008)

    Google Scholar 

  19. Dang, P.V., Tran, V.P.: Developing TPS data model in 3D GIS for management the population data. In: The 9th National Conference on Fundamental and Applied IT Research – FAIR’9, Can Tho, 08/2016, pp. 573–582. Natural Science and Technology Publishing House (2016). https://doi.org/10.15625/vap.2016.00071. ISBN 978-604-913-472-2

  20. A Tool for Visualizing 3D Geometry Models. http://www.codeproject.com/Articles-/42992/A-Tool-for-Visualizing-D-Geometry-Models-Part. Accessed Nov 2017

  21. Oracle Spatial User’s Guide and Reference, Release 9, Part Number A88805-01, June 2001. https://docs.oracle.com/cd/A91202_01/901_doc/appdev.901/a88805/title.htm. Accessed Nov 2017

  22. Elem_Info_Arraying: An alternative to SDO_UTI-L.GetNumRings and querying SDO_ELEM_INFO_it self. http://www.spatialdbadvisor.com/oracle_spatial_tips_-tricks/89/sdo_utilget_numrings-an-alternative. Accessed Dec 2017

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dang Van Pham .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Van Pham, D., Vinh Tran, P. (2019). Visually Analyzing Evolution of Geographic Objects at Different Levels of Details Over Time. In: Cong Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICCASA ICTCC 2018 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 266. Springer, Cham. https://doi.org/10.1007/978-3-030-06152-4_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-06152-4_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06151-7

  • Online ISBN: 978-3-030-06152-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics