Dynamic Collectives and Their Collective Dynamics

  • Antony Galton
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3693)


Dynamic collectives are discrete dual-aspect phenomena: they may present themselves from different viewspoints as either objects or events, and they arise from the collective action of groups of individual elements. In this paper we outline a formal theory of dynamic collectives and discuss their relevance to a range of GIScience concerns, including the identities and lifestyles of geographical entities, the architecture of information systems, and the relation between information systems and modelling systems.


Convex Hull Causal Interaction Dynamic Collective Composite Object Data Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Mennis, J.L., Peuquet, D.J., Qian, L.: A conceptual framework for incorporating cognitive principles into geographical database recognition. International Journal of Geographical Information Science 14, 501–520 (2000)CrossRefGoogle Scholar
  2. 2.
    Peuquet, D.J.: It’s about time: A conceptual framework for the representation of temporal dynamics in geographic information systems. Annals of the Association of American Geographers 84, 441–461 (1994)CrossRefGoogle Scholar
  3. 3.
    Galton, A.P.: Desiderata for a spatio-temporal geo-ontology. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds.) COSIT 2003. LNCS, vol. 2825, pp. 1–12. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  4. 4.
    Galton, A.P.: Fields and objects in space, time, and space-time. Spatial Cognition and Computation 4, 39–67 (2004)CrossRefGoogle Scholar
  5. 5.
    Grenon, P., Smith, B.: SNAP and SPAN: Towards dynamic spatial ontology. Spatial Cognition and Computation 4, 69–104 (2004)CrossRefGoogle Scholar
  6. 6.
    Heller, M.: The Ontology of Physical Objects: Four-dimensional Hunks of Matter. Cambridge University Press, Cambridge (1990)Google Scholar
  7. 7.
    Reynolds, C.W.: Flocks, herds, and schools: A distributed behavioural model. Computer Graphics 21, 25–34 (1987)CrossRefGoogle Scholar
  8. 8.
    Simons, P.: Parts: a Study in Ontology. Clarendon Press, Oxford (1987)Google Scholar
  9. 9.
    Yuan, M.: Representing geographic information to support queries about life and motion of socio-economic units. In: Frank, A., Raper, J., Cheylan, J.P. (eds.) Life and Motion of Socio-economic Units, pp. 217–234. Taylor and Francis, Abington (2001)Google Scholar
  10. 10.
    Smith, B.: Fiat objects. Topoi 20, 131–148 (2001)CrossRefGoogle Scholar
  11. 11.
    Medak, D.: Lifestyles. In: Frank, A., Raper, J., Cheylan, J.P. (eds.) Life and Motion of Socio-economic Units, pp. 139–153. Taylor and Francis, Abington (2001)Google Scholar
  12. 12.
    Al-Taha, K., Barrera, R.: Identities through time. In: Ehlers, M., Steiner, D.R., Johnston, J.B. (eds.) Proceedings of International Workshop on Requirements for Integrated GIS, pp. 1–12. Environmental Research Institute of Michigan (1994)Google Scholar
  13. 13.
    Hornsby, K., Egenhofer, M.J.: Identity-based change operations for composite objects. In: Poiker, T., Chrisman, N. (eds.) Proceedings of the 8th International Symposium on Spatial Data Handling, pp. 202–213. International Geographical Union (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Antony Galton
    • 1
  1. 1.SECSMUniversity of ExeterExeterUK

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