Abstract
Recently, it has become a hot spot that the forecast of urban land use change based on CA model and the city in the traditional cellular models were simulated and predicted according to some mathematical methods or artificial intelligence, so it cannot be true. Simulate the change trend of city expansion. It is rarely that the cellular space simulated the changes of city space. UML can describe that the city expansion simulation system has certain gap. Therefore, this study constructed a cellular automaton model transformation rules based on decision model of gray. We used the cellular automaton theory and decision model of gray to develop urban expansion system and combine with the unified modeling language (UML Unified, Modeling Language), use case diagram, class diagram, sequence diagram of unified expression visualization system. And UML can establish a good communication and communication bridge for the peer.
Ying Li obtained her Ph.D. degree from Tohoku University of Japan in 1997. She works as a professor and Ph.D. supervisor at Navigation College of Dalian Maritime University, the Director of the Environmental Information Institute of Dalian Maritime University.
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Li, Y., Liu, Z., Xu, H. (2019). Development Design and Principle Analysis of Urban Expansion Simulation System. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 760. Springer, Singapore. https://doi.org/10.1007/978-981-13-0344-9_16
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DOI: https://doi.org/10.1007/978-981-13-0344-9_16
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