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A Cellular Automata-Ready GIS Infrastructure for Geosimulation and Territorial Analysis

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Computational Science and Its Applications – ICCSA 2009 (ICCSA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5592))

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Abstract

This paper presents an integrated GIS and cellular automata (CA) modelling and simulation environment. We hold that several concurrent facts offer the necessary critical mass to foster the development of robust and scalable general-purpose CA-modelling tools that go beyond demonstrative proof-of-concept status, allowing thus fully operational modelling and simulation of real-world territorial systems. Among these facts, we can mention the entering of the CA-based geosimulation modelling in its age of maturity, the growing computational capabilities of nowadays computers, the consolidation of general-purpose as well as specialised GIS-based geo-analysis methodologies and their availability as open-source libraries and applications. The environment hereby described is an example of a way to obtain such robust and general-purpose CA-modelling tool-box. Its main characteristics are (1) tight interoperability between GIS and CAs, (2) a sufficiently generalised and flexible underlying CA meta-model allowing for the implementation of a variety of types of CA models, (3) computationally efficiency and (4) user-friendliness. We furthermore present two test case applications to illustrate a standard operational modelling workflow within this simulation environment and to briefly illustrate its look-and-feel.

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References

  1. Batty, M., Xie, Y.: From cells to cities. Environment and Planning B, 31–48 (1994)

    Google Scholar 

  2. Batty, M.: Urban systems as cellular automata. Environment and Planning B 24, 159–164 (1997)

    Article  Google Scholar 

  3. Cecchini, A.: Urban modelling by means of cellular automata: generalised urban automata with the help on-line (AUGH) model. Environment and Planning B, 721–732 (1996)

    Google Scholar 

  4. Benenson, I., Torrens, P.M.: Geosimulation: object-based modeling of urban phenomena. Computers, Environment and Urban Systems 28, 1–8 (2004)

    Article  Google Scholar 

  5. Torrens, P., Benenson, I.: Geographic automata systems. International Journal of Geographical Information Science 19, 385–412 (2005)

    Article  Google Scholar 

  6. Cecchini, A., Trunfio, G.A.: Supporting Urban Planning with CAGE: a Software Environment to Simulate Complex Systems. Advances in Complex Systems 10(2s), 309–325 (2007)

    Article  Google Scholar 

  7. Blecic, I., Cecchini, A., Trunfio, G.A.: A Generalized Rapid Development Environment for Cellular Automata Based Simulations. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (eds.) ACRI 2004. LNCS, vol. 3305, pp. 851–860. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Bandini, S., Mauri, G.: Multilayered Cellular Automata. Theoretical Computer Science, 99–113 (1999)

    Google Scholar 

  9. Clarke, K., Hoppen, S., Gaydos, L.: A self-modifying cellular automaton model of historical urbanization in the san francisco bay area. Environment and Planning B 24, 247–261 (1997)

    Article  Google Scholar 

  10. Clarke, K.C., Gaydos, L.J.: Loose-coupling a cellular automaton model and GIS: long-term urban growth predictions for San Francisco and Baltimore. International Journal of Geographic Information Science, 699–714 (1998)

    Google Scholar 

  11. White, R., Engelen, G.: Cellular automata and fractal urban form: A cellular modeling approach to the evolution of urban land-use patterns. Environment and Planning, 1175–1199 (1993)

    Google Scholar 

  12. White, R., Engelen, G., Uljee, I.: The use of constrained cellular automata for high-resolution modelling of urban land use dynamics. Environment and Planning B: Planning and Design 24, 323–343 (1997)

    Article  Google Scholar 

  13. White, R., Engelen, G.: High-resolution integrated modelling of the spatial dynamics of urban and regional systems. Computers, Environment and Urban Systems 24, 383–4000 (2000)

    Article  Google Scholar 

  14. Wu, F.: GIS-based simulation as an exploratory analysis for space-time processes. Journal Geographic Systems, 199–218 (1999)

    Google Scholar 

  15. Erickson, B., Lloyd-Jones, T.: Experiments with settlement aggregation models. Environment and Planning B, 903–928 (1997)

    Google Scholar 

  16. Tobler, W.: Cellular geography. In: Gale, S., Olsson, G. (eds.) Philosophy in Geography, pp. 379–386. Reidel Publishing Company, Dordrecht (1979)

    Chapter  Google Scholar 

  17. Project Gigalopolis, NCGIA (2003), http://www.ncgia.ucsb.edu/projects/gig/

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Author information

Authors and Affiliations

  1. Department of Architecture and Planning, University of Sassari, Palazzo Pou Salit, Piazza Duomo 6, 07041, Alghero, Italy

    Ivan Blecic, Arnaldo Cecchini & Giuseppe A. Trunfio

  2. TICONZERO Consortium, via Giovanni di Giovanni 14, 90139, Palermo, Italy

    Andrea Borruso, Antonio D’Argenio & Fabio Montagnino

Authors
  1. Ivan Blecic
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  2. Andrea Borruso
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  3. Arnaldo Cecchini
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  4. Antonio D’Argenio
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  5. Fabio Montagnino
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  6. Giuseppe A. Trunfio
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  2. School of Business Systems, Monash University, 3800, Clayton, Victoria, Australia

    David Taniar

  3. L.I.S.U.T. - D.A.P.I.T., University of Basilicata, Viale dell’Ateneo Lucano 10, 85100, Potenza, Italy

    Beniamino Murgante

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, 06123, Perugia, Italy

    Antonio Laganà

  5. School of Computing, Computer Communication Laboratory, SoongSil University, 1-1 Sang-do 5 Dong, Dong-jak Ku, 156-743, Seoul, Korea

    Youngsong Mun

  6. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

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© 2009 Springer-Verlag Berlin Heidelberg

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Blecic, I., Borruso, A., Cecchini, A., D’Argenio, A., Montagnino, F., Trunfio, G.A. (2009). A Cellular Automata-Ready GIS Infrastructure for Geosimulation and Territorial Analysis. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02454-2_22

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  • DOI: https://doi.org/10.1007/978-3-642-02454-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02453-5

  • Online ISBN: 978-3-642-02454-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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