Literature DB >> 23076871

Use of cellular automata in the study of variables involved in land use changes: an application in the wine production sector.

Francesco Riccioli1, Toufic El Asmar, Jean-Pierre El Asmar, Roberto Fratini.   

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.

Mesh:

Year:  2012        PMID: 23076871     DOI: 10.1007/s10661-012-2951-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  The fate of priority areas for conservation in protected areas: a fine-scale Markov chain approach.

Authors:  Clara Tattoni; Marco Ciolli; Fabrizio Ferretti
Journal:  Environ Manage       Date:  2010-12-29       Impact factor: 3.266

2.  Using cellular automata for integrated modelling of socio-environmental systems.

Authors:  G Engelen; R White; I Uljee; P Drazan
Journal:  Environ Monit Assess       Date:  1995-01       Impact factor: 2.513

  2 in total
  3 in total

1.  A methodological Markov-CA projection of the greening agricultural landscape-a case study from 2005 to 2017 in southwestern Finland.

Authors:  Meeli Roose; Reija Hietala
Journal:  Environ Monit Assess       Date:  2018-06-19       Impact factor: 2.513

2.  Scenario prediction of emerging coastal city using CA modeling under different environmental conditions: a case study of Lingang New City, China.

Authors:  Yongjiu Feng; Yan Liu
Journal:  Environ Monit Assess       Date:  2016-08-31       Impact factor: 2.513

3.  Using exploratory regression to identify optimal driving factors for cellular automaton modeling of land use change.

Authors:  Yongjiu Feng; Xiaohua Tong
Journal:  Environ Monit Assess       Date:  2017-09-22       Impact factor: 2.513

  3 in total

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