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Study on Urban Dynamics Based on Spatial Information with CA Model

Author: YangLiangJie
Tutor: XueZhongSheng
School: China University of Geosciences
Course: Physical Geography
Keywords: Urban dynamics Self-organizing mechanisms Cellular Automata Development of urban space Remote sensing Geographic Information Systems Yiwu
CLC: P208
Type: Master's thesis
Year: 2005
Downloads: 231
Quote: 1
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Abstract


The city is a dynamic complex system, its development and evolution is the result of the interaction of a variety of factors, the mechanism of its development is quite complex, to study the dynamics of its development mechanism is a complex task. By \\hidden potential impact urban development, it is not a good indication of the inherent power of the law of the development of urban space. The traditional model of the spatial and temporal connotation is not broad enough overall study of the mechanism of evolution of urban spatial structure, dynamics study of the spatial and temporal scales of urban space, urban space dynamics study of the integrated structure, choice behavior simulation and integration of GIS-based urban space space dynamics model of urban spatial dynamics analysis of the nonlinear behavior are still rare. Therefore, starting from the microscopic point of view of the spatial behavior of the individual in a high temporal and spatial resolution to study the development of the city, is the inevitable requirement for in-depth understanding of the dynamic evolution of urban space features. The theory of dissipative structures have been born in the 1960s and 1970s, Synergetics, a series of system self-organization theory of the super-cycle theory, catastrophe theory, chaos theory and fractal theory, from the system, and the development of micro-process research complex system of self- The organizational evolution mechanism provides a new way to study the evolution of the internal mechanism of urban space systems. Cellular Automata (Cellular Automata, CA) is a burgeoning field of complex system. It is time, space, state, and reason are discrete dynamical systems, its core idea fully reflects the essence of complex structures from simple subsystem interaction complexity science, the spatial and temporal structure of its significant characteristics , \Internal dynamic mechanism of the development of urban space, to study the dynamic mechanism of the development of urban space, shall start from the microscopic point of view, to study the interactions between the various elements of the underlying mechanisms, from the fruit \guidance of the macro-planning decisions. By introducing the theory of self-organization, and the \Profiling on the basis of in-depth study of the complex characteristics of urban space systems development, from the point of view of the spatial organization of the internal mechanism of the development of urban space. The principle of self-organization theory, the application system analysis of the spatial and temporal characteristics of the development of urban space, two main lines from the process and the system of vertical and horizontal depth analysis of internal self-organization mechanism for the development of urban space. Research in the understanding of the characteristics of urban spatial information based on the techniques and methods of urban space feature information extracted from the graphical image information, to pave the way for the later model. The introduction of the CA model, based on analysis of the composition and characteristics of the standard CA model, in-depth analysis of its research geographic phenomenon and geographical process, especially in the development of urban space systems limitations, on the basis of previous studies, the expansion of existing CA model, using object-oriented modeling approach, combined with the characteristics of urban spatial information to build the model of urbanization CA - based the city dynamics model of the geographical entity (GeoObjectCA-Urban model), the model using irregular grid data structure, in-depth study based on irregular grid

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