Agric. Econ. - Czech, 2006, 52(4):160-164 | DOI: 10.17221/5011-AGRICECON

GIS and the dynamic phenomena modeling

D. Klimešová
Czech University of Agriculture, Prague, Czech Republic Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic

Different aspects of the dynamic or temporal of GIS are very frequently discussed and we can register new approaches and applications in this field every week. This paper analyses the possibility of the selected approaches to contribute to the temporal data processing and gives the overview of the most basic ones. The author presented part of these results also at the Agrarian Perspectives Conference 2005 in the applied informatics session.

Keywords: dynamic modelling, temporal analysis, dynamics evaluation, temporal space

Published: April 30, 2006  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Klimešová D. GIS and the dynamic phenomena modeling. Agric. Econ. - Czech. 2006;52(4):160-164. doi: 10.17221/5011-AGRICECON.
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Allen J.F. (1984): Towards a general theory of actions and time. Artificial Intelligence, 23 (2): 123-154. Go to original source...
    2. Armstrong M.P. (1988): Temporality in spatial databases. Proceedings: GIS/LIS'88, 2:880-889.
    3. Claramunt C., Thériault M. (1996): Toward semantics for modelling spatio-temporal processes within GIS. In: Kraak M.J., Molenaar M. (eds.): Advances in GIS Research I. Taylor & Francis, London: 27-43.
    4. Claramunt C., Thériault M., Parent C. (1998): A qualitative representation of evolving spatial entities in Two-dimensional Spaces. In: Carver S. (ed.): Innovations in GIS. V. Taylor & Francis, London: 119-129. Go to original source...
    5. Clementini E., Di Felice P., Van Oosterom O., (1993): A small set of topological relationships suitable for end-user. In: Advances in Spatial Databases. Springer-Verlag, Singapore: 277-295. Go to original source...
    6. Cui Z., Cohn A.G., Randell D.A. (1993): Qualitative and topological relationships in spatial databases. In: Abel D.J., Ooi B.C. (eds.): Advances in Spatial Databases. Springer-Verlag, Singapore: 296-315. Go to original source...
    7. Goldberg D.E. (2003): Genetic Algorithm in Search. In: Optimizing and Machine Learning. Addison Wesley.
    8. Huang S.B., Shibasaki R. (2003): Development of Genetic Algorithm/Hill-climbing Method for Spaiotemporal Interpolation.
    9. Langran G., Chrisman, N.R. (1988): Framework for temporal geographic information. Cartographica, 25(3): 1-14. Go to original source...
    10. Liu D., Shi W. et al. (2000): Accuracy Analysis and Quality Control of Spatial Data in GIS. Science & Technology Literature Press, Shanghai.
    11. May Yuan (2004): Temporal GIS and Spatio-Temporal Modeling. Department of Geography, University of Oklahoma.

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content