Literature DB >> 24202047

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

G Engelen1, R White, I Uljee, P Drazan.   

Abstract

Cellular automata provide the key to a dynamic modelling and simulation framework that integrates socio-economic with environmental models, and that operates at both micro and macro geographical scales. An application to the problem of forecasting the effect of climate change on a small island state suggests that such modelling techniques could help planners and policy makers design more effective policies - policies better tuned both to specific local needs and to overall socio-economic and environmental constraints.

Year:  1995        PMID: 24202047     DOI: 10.1007/BF00546036

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


  3 in total

1.  Future Forest Cover Change Scenarios with Implications for Landslide Risk: An Example from Buzau Subcarpathians, Romania.

Authors:  Žiga Malek; Luc Boerboom; Thomas Glade
Journal:  Environ Manage       Date:  2015-06-30       Impact factor: 3.266

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

Authors:  Francesco Riccioli; Toufic El Asmar; Jean-Pierre El Asmar; Roberto Fratini
Journal:  Environ Monit Assess       Date:  2012-10-18       Impact factor: 2.513

3.  A century of the evolution of the urban area in Shenyang, China.

Authors:  Miao Liu; Yanyan Xu; Yuanman Hu; Chunlin Li; Fengyun Sun; Tan Chen
Journal:  PLoS One       Date:  2014-06-03       Impact factor: 3.240

  3 in total

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