摘要
土地利用空间优化是实现土地资源合理利用和区域可持续发展的重要途径和手段,是目前研究的一个热点,在文献阅读的基础上,分析比较了数理统计模型、CLUE-S模型、元胞自动机模型、多智能体系统模型四种土地利用空间优化方法的优缺点。结果是:多智能体系统模型从土地利用的主体出发,选择影响土地利用空间优化的驱动因素,抽象定量化表达智能体的行为准则,利用智能优化算法来选择土地利用类型在空间上的演变过程,并在多目标函数及约束条件下判断土地利用空间优化方案的优劣性,很好的解决了土地利用空间优化过程中土地利用主体、土地利用环境、土地利用类型三个最主要问题在空间上的演变,比数理统计模型、CLUE-S模型、元胞自动机模型在土地利用空间优化方面更具有优势,是未来土地利用空间优化方法的发展趋势。
The land use spatial optimization is important way and means to realize the rational utilization of land resources and region's sustainable development,and a hotspot in the research of the current. On the basis of literature reading,analyzing and comparing the advantages and disadvantages of four land use spatial optimization methods as mathematical statistics model,the CLUE-S model,the cellular automata model,multi-agent system mode. the result is: multi-agent system model from the main body of land use,chooses the driving factors influencing land use spatial optimization,abstracts quantitative express agent's code of conduct,uses intelligent optimization algorithm to select the land use types on the spatial evolution process,and under the multiple objective function and constraint conditions to judge the pros and cons of land use spatial optimization scheme,is a good solution to the spatial optimization process of land use solving land use body,environment of land use,land use types the three main problems in the evolution of space,has more advantages than the model of mathematical statistics,the CLUE-S model,the cellular automata model in terms of land use spatial optimization,is the future development trend of land use spatial optimization configuration method.
出处
《云南地理环境研究》
2014年第4期28-34,共7页
Yunnan Geographic Environment Research
基金
国家自然基金项目(云南大规模桉树引种区土地生态安全时空分异及其优化配置研究:NO.41361020
尾叶桉类林引种的环境影响与生态安全格局研究:NO.40961031)资助
