Simulation of land use changes using cellular automata and artificial neural network
Philippe Gerber (),
Katalin Bódis and
Reine Maria Basse
No 2012-01, LISER Working Paper Series from LISER
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.
Keywords: Artificial neural network; Cellular automata; Modelling; Land use changes; Spatial planning and dynamics (search for similar items in EconPapers)
Pages: 24 pages
New Economics Papers: this item is included in nep-cmp
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Persistent link: https://EconPapers.repec.org/RePEc:irs:cepswp:2012-01
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