Study On Cellular Automata Model Land-use Simulation Based On Rough Set Theory

Land use With the development of human society,the study of its change from the initial land use survey to the subsequent land use classification grading has been the concern of many experts and scholars.At present,the research on land use change is mainly related to the dynamic analysis,the ecological environment effect,the driving force analysis and the establishment of the simulation model.Based on the land use and land use change,and the spatial pattern of land use is more,it can simulate the model of land use area and the characteristics of space-time pattern,and develop and construct the corresponding simulation model Is the interpretation of theory and solve the problem of the most appropriate way of expression.The temporal and spatial evolution of land use change is a complex process of geographical evolution,subject to a variety of natural conditions.In general,with the support of RS and GIS and other related technologies,the trend of land use type change in a certain period of time is forecasted and analyzed by the corresponding model on the basis of land use change classification,and the land use The dynamic relationship between the changes in the dynamic relationship between the relevant driving factors to grasp the relationship between the future of land use planning to provide the appropriate theoretical and technical support.The cellular automata?CA?model is a local grid dynamics model with time,space,state dispersion and spatial interaction^[1].Its powerful computing power and spatial dynamic evolution rules can be used for self-Research on organizational relevance.With the application of cell automata in the field of geoscience in the 1960s,the land use simulation model constructed by cellular automata is widely used in the fields of land use change,urban expansion simulation,ecology,traffic flow simulation and so on.In recent years,with the restriction of the cellular automata model,the application of multi-bias to urban growth,diffusion and ecological land change research,the unity of the cell definition and the factorization of the model selection factor makes the cellular automata model There is a certain difference between the simulation study and the real land use change.If the planner wants to obtain the accurate simulation result,it is necessary to adopt the reasonable method to develop the cellular automaton conversion rule.Rough Sets?RS?is a mathematical tool for dealing with noncompleteness and ambiguity data.It can effectively analyze and process imprecise and incomplete information data through certain mathematical methods and find out Its implicit knowledge,revealing the underlying laws.In recent years,the research of rough set in geosciences and remote sensing image processing has been widely used.Among them,geology classification and accuracy evaluation,image classification,rough set topological relation description and data mining method are very good Reflects its superiority.However,the rough set is less in the study of land use change,and only the land use classification and geo-spatial relationship have been studied.Based on the roughness of attribute reduction and the superiority of decision rules,this paper optimizes the transformation rules of cellular automata to achieve more accurate simulation results.In this paper,the rough set theory is used to establish the corresponding decision-making relationship between the local land use land types,and the characteristics of the spatial transformation and evolution between the land types are effectively controlled by using the cellular automata model from the local to the whole.Rough set theory decision relation table analysis of the driving factors between land types,through the iterative operation of the cellular automata model can be obtained between the different types of land trends,so as to analyze the transformation between the various types of land to provide the necessary analyzing tool.This paper takes the Jinzhou District of the original city of Dalian as the research object,analyzes and grasps the driving factors of land use change in the region,and constructs the cellular automata model based on rough set theory to simulate the temporal and spatial evolution of land use spatial pattern,Regional land use development and development to provide some theoretical support.