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Simulation of land use changes using cellular automata and artificial neural network


  • OMRANI Hichem
  • CHARIF Omar
  • GERBER Philippe
  • BÓDIS Katalin
  • BASSE Reine Maria


This paper presents a method integrating artificial neural network (ANN) in cellular automata (CA) to simulate land use changes in Luxembourg and the areas adjacent to its borders. The ANN is used as a base of CA model transition rule. The proposed method shows promising results for prediction of land use over time. The ANN is validated using cross-validation technique and Receiver Operating Characteristic (ROC) curve analysis, and compared with logit model and a support vector machine approach. The application described in this paper highlights the interest of integrating ANNs in CA based model for land use dynamic simulation.

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  • OMRANI Hichem & CHARIF Omar & GERBER Philippe & BÓDIS Katalin & BASSE Reine Maria, 2012. "Simulation of land use changes using cellular automata and artificial neural network," LISER Working Paper Series 2012-01, LISER.
  • Handle: RePEc:irs:cepswp:2012-01

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    References listed on IDEAS

    1. Christophe Sohn & Bernard Reitel & Olivier Walther, 2009. "Cross-border metropolitan integration in Europe: the case of Luxembourg, Basel, and Geneva," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 27(5), pages 922-939, October.
    2. Lin, Huiyan & Lu, Kang Shou & Espey, Molly & Allen, Jeffery, 2005. "Modeling Urban Sprawl and Land Use Change in a Coastal Area-- A Neural Network Approach," 2005 Annual meeting, July 24-27, Providence, RI 19364, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. OMRANI Hichem & CHARIF Omar & KLEIN Olivier & GERBER Philippe, 2010. "An Approach for spatial and temporal data analysis: application for mobility modeling of workers in Luxembourg and its bordering areas," LISER Working Paper Series 2010-16, LISER.
    4. Muller, Daniel & Zeller, Manfred, 2002. "Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey data with satellite imagery interpretation," Agricultural Economics, Blackwell, vol. 27(3), pages 333-354, November.
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    More about this item


    Artificial neural network; Cellular automata; Modelling; Land use changes; Spatial planning and dynamics;

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