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Use of cellular automata in the study of variables involved in land use changes

An application in the wine production sector

Environmental Monitoring and Assessment volume 185, pages 5361–5374 (2013)Cite this article

Abstract

The study of changes in land use has been included lately in territorial processes in order to optimize future management decisions. The different functions that the territory plays (production, aesthetic, and natural functions, etc.) make planning choices more difficult. This work focuses on the selection and combination of a set of indicators to analyze the variables through which the changes occur in the land used in viticulture for wine production. The proposed approach makes use of the Geographic Information System (GIS) in the development of a map of land use scenario. It is applied to a case study through a model involving cellular automata (CA) implemented with maps of suitability for viticulture and Markov chains. The use in this case of the CA is aimed at validating the scenario map in order to deduce the variables and the orientations of the farmers in the field of wine production.

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Notes

  1. Retrieved from website http://www.terreditoscana.regione.toscana.it/stradedelvino/ita/index-ita.html [last accessed October 12, 2011].

  2. L'Agenzia Regionale Toscana per le Erogazioni in Agricoltura (ARTEA) is an agency that allocates funds as anticipated by EU communities regulations for the management of the Commune Agricultural Politics (CAP).

  3. DOC or DOCG or "Controlled Designation of Origin" is an Italian quality assurance label attributed to wine produced in small or medium scale areas, as per wine production standards.

  4. "The proportional error: a measure of uncertainty that can be assigned to the transition probability matrix according to each land cover class. This takes into account the error in the classification of the land use maps." (Tattoni et al. 2011). It is often set at 0.15-0.10 because a common value of accuracy for a land use map is 85 %–90 %.

  5. "The deterministic value is given a stochastic perturbation (using a modified extreme value distribution), such that most values are changed very little but a few are changed significantly"(Engelen et al. 2002)

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Author information

Affiliations

  1. Department of Agricultural and Forest Economics, Engineering, Sciences and Technologies, University of Florence, Florence, Italy

    Francesco Riccioli, Toufic El Asmar & Roberto Fratini

  2. Faculty of Architecture Art and Design, Notre Dame University–Louaize, Zouk Mosbeh, Lebanon

    Jean-Pierre El Asmar

Authors
  1. Francesco Riccioli
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  2. Toufic El Asmar
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  3. Jean-Pierre El Asmar
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  4. Roberto Fratini
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Correspondence to Francesco Riccioli.

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Riccioli, F., El Asmar, T., El Asmar, JP. et al. Use of cellular automata in the study of variables involved in land use changes. Environ Monit Assess 185, 5361–5374 (2013). https://doi.org/10.1007/s10661-012-2951-z

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  • DOI: https://doi.org/10.1007/s10661-012-2951-z

Keywords

  • Cellular automata
  • Land use change
  • Markov chains
  • Territorial analysis
  • GIS