Simulation of CA Markov Prediction Method for Changes in Urban Land Use Spatial Pattern
Land use change is affected by many factors,and land use change is complex and uncertain.In order to improve the effect of land use planning,a prediction method of urban land use spatial pattern change based on CA-Markov is proposed.The urban land remote sensing image is collected and preprocessed by remote sensing technolo-gy,so that the details and texture information in the remote sensing image are enhanced.The spatial analysis function of Geographic Information System(GIS)is used to deeply analyze the characteristics of land use spatial pattern chan-ges in remote sensing images to reveal their changing laws.Combining the spatial simulation of cellular automata mod-el(CA)and the quantitative prediction ability of Markov chain,the CA-Markov prediction model is constructed,and the feature analysis results are used as input to simulate and predict the future changes of urban land use spatial pat-tern.The simulation results show that the proposed method can accurately predict the change trend of urban land use spatial pattern,and provide strong support for urban planning and resource management.
万方数据
维普
