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The paper presents a method----Geographical Simulation Systems, which can make up the drawbacks of SD (System
Dynamics) and CA (Cellular Automata), just simulating the urban land space individually. The result shows that the new
system can simulate the urban land space evolution with the GSS (Geographical Simulation Systems) combined with the
SD and CA. Urban land space evolution model is composed of SD layer, CA layer and environmental factors. The
purpose of this new methodology is to simulate the process of urban land space evolution, discuss the Urban Land Space
Evolution Mechanism and forecast the trend of urban land space evolution. The proposed model has been applied to the
simulation of urban land space evolution in Wuhan city of Hubei province. The result indicates that the simulation
accuracy is much better than those of the traditional models.
Jian Gong,Yaolin Liu,Zhi Zhang, andJianfeng Li
"Urban land space evolution based on geographical simulation systems", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749259 (16 October 2009); https://doi.org/10.1117/12.838662
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Jian Gong, Yaolin Liu, Zhi Zhang, Jianfeng Li, "Urban land space evolution based on geographical simulation systems," Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749259 (16 October 2009); https://doi.org/10.1117/12.838662