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Proceedings Paper

Urban land space evolution based on geographical simulation systems
Author(s): Jian Gong; Yaolin Liu; Zhi Zhang; Jianfeng Li
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Paper Abstract

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.

Paper Details

Date Published: 16 October 2009
PDF: 10 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749259 (16 October 2009); doi: 10.1117/12.838662
Show Author Affiliations
Jian Gong, China Univ. of Geosciences (China)
Wuhan Univ. (China)
Yaolin Liu, Wuhan Univ. (China)
Zhi Zhang, Wuhan Univ. (China)
Jianfeng Li, China Univ. of Geosciences (China)

Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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