矢量CA支持下的耕地补偿空间决策模型研究

研究目的:为实现耕地总量动态平衡,保障耕地资源的持续供给,本文探讨引入矢量CA支持下的耕地补偿空间决策模型用于耕地补偿决策的可行性。研究方法:GIS空间分析技术、实证分析法。研究结果:针对矢量数据处理的便捷与快速性质,提出基于矢量数据格式的元胞自动机支持下的耕地补偿决策模型,着重讨论了二维矢量元胞自动机的邻居模型和转换规则,指出元胞状态转换规则主要依赖于与邻居元胞的大小、距离、相邻边长度和相邻边分维指数、邻居影响力效果指数,在此基础上,研究了耕地补偿决策中的邻居影响力即转换规则。文章以海南省琼海市九曲江乡为例,计算不同参数控制下的多种耕地补偿决策方案,证明了该模型用于耕地补偿决策的可行性。

Study on CA Decision-making Models in Cultivated Land Compensating Based on Vector Datasets

The purpose of this paper is to study on CA decision-making models in cultivated land supplement based on vector datasets to implement the policy of no net loss of cultivated land in China.Methods of GIS technology and case study were employed.The paper proposes a Cellular Automata(CA) decision-making model based on vector datasets,which is rapid and convenient.Besides,CA's neighbor model and transfer rule have been discussed which mainly depends on the size,distance,length and effect index of neighbor cells.Taking Jiuqujiang Town,Qionghai City of Hainan Province as a case,multiple alternatives of cultivated land supplement have been provided for decision making based on vector CA model.It is concluded that the CA decision model based on vector datasets is feasible and effective in decision making of cultivated land supplement.