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

Fatima Ezahra Sfa; Mohamed Nemiche; Rafael Pla Lopez

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

机译：随机细胞自动机和经济指标相结合的模拟土地利用变化的理论学习模型

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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.

机译：土地使用变化的研究已包括在领土规划中，以告知空间规划者和政策制定者他们可能面临的发展，以优化未来的管理决策。在本文中，作者提出了结合随机细胞自动机和经济指标来模拟土地利用变化的原始学习模型的核心。该模型是建立“环境虚拟实验室”以探索，解释和预测土地利用变化的重要步骤。

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来源
《International journal of applied evolutionary computation》 |2015年第3期|1-8|共8页
作者
Fatima Ezahra Sfa; Mohamed Nemiche; Rafael Pla Lopez;
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作者单位

Intelligent Systems and Communicating Laboratory (IRF-SIC), Agadir, Morocco;

Ibn Zorh University, Agadir, Morocco;

Department of Applied Mathematics, Universidad de Valencia, Valencia, Spain;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Cellular Automata; Land use Change; Reinforcement Learning; Stochastic Model;

机译：细胞自动机土地利用变化;强化学习;随机模型;

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专利

1. CELLULAR AUTOMATA MODEL BASED ON MACHINE LEARNING METHODS FOR SIMULATING LAND USE CHANGE [J] . Omar Charif, Hichem Omrani, Reine-Maria Basse, Proceedings of the Workshop on Principles of Advanced and Distributed Simulation . 2012,第CDaROM期

机译：基于机器学习方法的细胞自动模型模拟土地利用变化
2. Simulating urban expansion by coupling a stochastic cellular automata model and socioeconomic indicators [J] . Daqian Wu, Jian Liu, Shujun Wang, Stochastic environmental research and risk assessment . 2010,第2期

机译：通过耦合随机细胞自动机模型和社会经济指标来模拟城市扩张
3. Cellular automata model as an intuitive approach to simulate complex land-use changes: an evaluation of two multi-state land-use models in the Yellow River Delta [J] . Wen-Juan Ding, Ren-Qing Wang, Da-Qian Wu, Stochastic environmental research and risk assessment . 2013,第4期

机译：元胞自动机模型作为模拟复杂土地利用变化的直观方法：对黄河三角洲两个多州土地利用模型的评估
4. Cellular automata model based on machine learning methods for simulating land use change [C] . Charif Omar, Basse Reine-Maria, Omrani Hichem, 2012 Winter Simulation Conference : WSC Goes Europe. . 2012

机译：基于机器学习方法的元胞自动机模型用于模拟土地利用变化
5. A Cellular Automata Model to Simulate Land-use Changes at Fine Spatial Resolution [D] . Wang, Fang. 2012

机译：一种蜂窝自动机模型，用于模拟精细空间分辨率的土地利用变化
6. Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model [O] . Anne Gharaibeh, Abdulrazzaq Shaamala, Rasha Obeidat, 2020

机译：通过蜂窝自动机 - 马尔可夫链模型整合ANN的改善土地利用变化建模
7. CELLULAR AUTOMATA MODEL BASED ON MACHINE LEARNING METHODS FOR SIMULATING LAND USE CHANGE [O] . C. Laroque, J. Himmelspach, R. Pasupathy, 2014

机译：基于机器学习方法的细胞自动模型模拟土地利用变化

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

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