细胞自动机理论为开展土地利用空间布局研究提供了有力的理论支持,传统细胞自动机理论存在影响因素层单一、转换规则固定的不足.本研究从细胞及其状态、细胞空间划分以及状态转换规则等方面进行改进,采用面向对象技术设计了地理细胞空间实体;以四叉树算法对地理细胞空间进行多层次划分;将模糊数学理论应用于细胞状态转换规则的计算,最后进行了相关实例研究和分析.结果表明,建立的模型能较好地分层次、综合考虑影响土地利用状态转换的多种因素,可为构建协调的土地利用空间结构提供辅助决策.
Cellular automata (CA) theory provides the strong theoretical support for studying spatial layout in land use.The traditional CA theory has the disadvantages of the single factor and fixed transformation rules.The traditional CA theory was improved from cells and cell state,space division and the state transition rules.The geographic cells expression of land state was designed with object oriented technology.Geographical cell space was classified into the multi-level by using four-binary tree algorithm.Cell state transition rules were calculated by applying the fuzzy theory.The related case study and analysis were performed with the improved model.The results showed that the improved model could consider the effects of various factors on land use conversion from multilayer.The improved model will provide auxiliary decision information for constructing the coordinating spatial structure of land use.