6533b7dbfe1ef96bd1270944
RESEARCH PRODUCT
A Theoretical Learning Model Combining Stochastic Cellular Automata and Economic Indicators to Simulate Land Use Change
Fatima Ezahra SfaRafael Pla LópezMohamed Nemichesubject
Stochastic cellular automatonEconomic indicatorLand useOperations researchComputer scienceStochastic modellingManagement scienceVirtual LaboratoryReinforcement learningLand use land-use change and forestryCellular automatondescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-07-01 | International Journal of Applied Evolutionary Computation |