摘要
对已有的不规则CA(cellular automata)模型在土地用途变更中的邻域定义及邻域影响力计算方法进行了梳理及整理。首先简述了不规则CA中如何使用图模型进行计算优化,然后介绍了6种较为常用的邻域定义,如邻接邻域、严格拓扑邻域、邻近邻域、缓冲截断邻域、宽范围邻域和动态邻域等,并总结了邻域影响力计算方法,如距离影响力、占地比例影响力、动态邻域影响力、空间外部性等。最后探讨了不规则元胞自动机空间邻域未来可能面临的挑战。
This paper sorts out the neighborhood definitions and neighborhood effect computing methods in existing irregular CA(cellular automata) models for land use simulation. First, the paper describes irregular CA optimization using graph model. Then, it introduces the six commonly used neighborhood definitions, such as adjacent neighborhood, proximity neighborhood, restricted topological neighborhood, intercepted buffer neighborhood and extent-wide neighborhood. At the last, neighborhood effect computing methods such as distance effect, land area effect, dynamic neighborhood effect and spatial externalities are concluded. In the end, the paper discusses the possible future challenges of neighborhood in irregular cellular automata.
作者
张丁文
王轩
ZHANG Dingwen;WANG Xuan(School of Computer Science and Technology,Harbin Institute of Technology(Shenzhen),Shenzhen 518055,China;Real Estate Assement and Development Research Center,Shenzhen 518040,China)
出处
《测绘地理信息》
2020年第5期72-77,共6页
Journal of Geomatics
基金
深圳市科技计划(JCYJ20180507183624136)。
关键词
元胞自动机
矢量空间
空间邻域
邻域影响力
图模型
cellular automata
vector space
neighborhood
neighborhood effect
graph model