Simulation prediction method for dynamic evolution simulation of urban greenbelt

The invention provides simulation prediction method for dynamic evolution simulation of urban greenbelt based on geo-cellular automata and multi-agent, which belongs to a technical field of geographic modeling and urban planning. Firstly, change data is obtained by overlay analysis and transition analysis of urban greenbelt thematic maps at two periods of time. Time and space configuration rules of the urban greenbelt are established by combining with a statistical model of urban greenbelt change and based on a multi-agent system theory, and a dynamic simulation model of the dynamic urban greenbelt is configured by adopting cellular automata; a logistic regression model is configured by combining with evolution of nature rules; parameters of the module according to social economic data are adjusted and reasonable expansion and transition rules are determined ; and a model builder toolset is established based on a powerful spatial modeling and analysis capability of GIS, by which simulation and prediction of the urban greenbelt change trend is carried out. The method in the invention realizes dynamic evolution simulation for the urban greenbelt, and is capable of providing assistant decision supports for making land use policy for government and city planners.