土地利用变化模拟模型及应用研究进展

发布时间：2018-01-31 11:32

本文关键词： 土地利用/土地覆盖变化过程建模与模拟元胞自动机多智能体系统尺度　出处：《遥感学报》2017年03期 　论文类型：期刊论文

【摘要】：元胞自动机CA(Cellular Automata)和多智能体ABM(Agent-Based Model)模型是土地利用格局和演化模拟的主流方法,两者在模拟自然因素影响和人文驱动机制方面具有突出优势,为LUCC研究提供了重要的工具。当前,ABM无论在模型构建还是应用研究方面,CA和ABM均取得了显著进展。论文从数据基础、模拟尺度、CA转换规则挖掘、ABM行为规则定义、CA和ABM的耦合4个方面梳理土地利用模拟模型和方法的研究进展。并总结这些模型在虚拟城市模拟与理论验证、真实城市模拟与规划预测以及多类用地模拟与辅助决策等方面的应用。最后,总结土地利用模拟模型在精细模拟和全球变化研究方面存在的局限性,认为未来发展将主要集中于解决从2维模型向3维模型发展、大数据与规则精细挖掘以及大尺度模拟与知识迁移等问题。
[Abstract]:Cellular Automata (CA(Cellular Automata) and Multi-Agent ABM(Agent-Based Model). Model is the mainstream method of land use pattern and evolution simulation. Both of them have outstanding advantages in simulating the influence of natural factors and the human driving mechanism, which provides an important tool for the research of LUCC. Significant progress has been made in both CA and ABM. In this paper, we mine the rules of CA-transformation from the data basis to define the rules of behavior. The research progress of land use simulation models and methods in four aspects of CA and ABM coupling is summarized, and the simulation and theoretical verification of these models in virtual cities are summarized. The application of real city simulation and planning prediction, multi-class land use simulation and auxiliary decision-making. Finally, the limitations of land use simulation model in fine simulation and global change research are summarized. It is considered that the future development will mainly focus on solving the problems of developing from two dimensional model to three dimensional model, big data and rules fine mining, large scale simulation and knowledge transfer and so on.
【作者单位】：广州大学地理科学学院;中山大学地理科学与规划学院遥感与地理信息工程系;
【基金】：国家自然科学基金(编号:41401432)~~
【分类号】：F301.24;TP79
【正文快照】： 引用格式:李少英,刘小平,黎夏,陈逸敏.2017.土地利用变化模拟模型及应用研究进展.遥感学报,21(3):329 340Li S Y,Liu X P,Li X and Chen Y M.2017.Simulation model of land use dynamics and application:Progress and土地利用/土地覆盖变化LUCC(Land Use andLand Cover Cha

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