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Urban Sprawl: A Case Study for Project Gigalopolis Using SLEUTH Model

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Cellular Automata (ACRI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4173))

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Abstract

A brief approach through a CA-based model is perfect for modelling of different urban phenomena at different observation scales. SLEUTH model, situated in Project Gigalopolis, is a powerful tool for description of urban agglomeration and spatial dynamics. In this paper, new applications of this model, other methodological analyses, and sensitivity studies allow us to improve our comprehension of model parameters, taking advantage of this type of synthetic description of reality. Many deductions are possible thanks to the comparison of our studies with other precious databases, already existent, about results of this model.

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References

  1. Couclelis, H.: From cellular automata to urban models: new principles for model development and implementation. Environment and Planning B 24(2), 165–174 (1997)

    Article  Google Scholar 

  2. Candau, J.T., Clarke, K.C., Rasmussen, S.: A coupled cellular automaton model for land use/land cover dynamics. In: 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4), Alberta, Canada, vol. 94, pp. 1–13 (2000)

    Google Scholar 

  3. Clarke, K.C., Gaydos, L.: Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science 12(7), 699–714 (1998)

    Article  Google Scholar 

  4. Dietzel, C., Clarke, K.C.: Replication of Spatial-temporal Land Use Patterns at Three Levels of Aggregation by an Urban Cellular Automata. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (eds.) ACRI 2004. LNCS, vol. 3305, pp. 523–532. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  5. Candau, J.T.: Temporal Calibration Sensitivity of the Sleuth Urban Growth Model. University of California, Santa Barbara (2002)

    Google Scholar 

  6. Camagni, A.: Le ragioni della coesione territoriale: contenuti e possibili strategie di policy. Scienze Regionali (2), 97–111 (2004)

    Google Scholar 

  7. Wu, F.: Calibration of cellular automata parameters using tabu search: an application to urban spatial structure. In: 9th Computers in Urban Planning and Urban Management vol. 324, pp. 1–19 (2005)

    Google Scholar 

  8. Caglioni, M., Rabino, G.: Contribution to fractal analysis of the cities: a study of metropolitan area of Milan, vol. 260. Revue européenne de géographie, Cybergeo (2004), ISSN 1278-3366

    Google Scholar 

  9. Clarke, K.C.: Geocomputation’s future at the extremes: high performances computers and nanoclients. Parallel Computing 29, 1281–1295 (2003)

    Article  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Caglioni, M., Pelizzoni, M., Rabino, G.A. (2006). Urban Sprawl: A Case Study for Project Gigalopolis Using SLEUTH Model. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds) Cellular Automata. ACRI 2006. Lecture Notes in Computer Science, vol 4173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861201_51

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  • DOI: https://doi.org/10.1007/11861201_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40929-8

  • Online ISBN: 978-3-540-40932-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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