A Theoretical Learning Model Combining Stochastic Cellular Automata and Economic Indicators to Simulate Land Use Change

Fatima Ezahra Sfa, Mohamed Nemiche and Rafael Pla Lopez
Additional contact information
Fatima Ezahra Sfa: Intelligent Systems and Communicating Laboratory (IRF-SIC), Agadir, Morocco
Mohamed Nemiche: Ibn Zorh University, Agadir, Morocco
Rafael Pla Lopez: Department of Applied Mathematics, Universidad de Valencia, Valencia, Spain

International Journal of Applied Evolutionary Computation (IJAEC), 2015, vol. 6, issue 3, 1-8

Abstract: The study of change in land use has been included in territorial planning to inform spatial planners and policy makers of the possible developments they face in order to optimize future management decisions. In this paper the authors present the core of an original learning model coupling stochastic Cellular Automata and economic indicators to simulate the land use change. This model is an important step in building an “environmental virtual laboratory” to explore, explain and forecast land use change.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJAEC.2015070101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:6:y:2015:i:3:p:1-8

Access Statistics for this article

International Journal of Applied Evolutionary Computation (IJAEC) is currently edited by Sukhpal Singh Gill

More articles in International Journal of Applied Evolutionary Computation (IJAEC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().