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- W1490688076 abstract "Understanding of urban growth process is highly crucial in making development plan and sustainable growth management policy. As the process involves multi-actors, multi-behavior and various policies, it is endowed with unpredictable spatial and temporal complexities, it requires the occurrence of new simulation approach, which is process-oriented and has stronger capacities of interpretation. In this paper, A cellular automata-based model is designed for understanding the temporal process of urban growth by incorporating dynamic weighting concept and project-based approach. We argue that this methodology is able to interpret and visualize the dynamic process more temporally and transparently.KeywordsCellular AutomatonCellular AutomatonUrban GrowthGeographically Weight RegressionUrban SystemThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1490688076 created "2016-06-24" @default.
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- W1490688076 date "2002-01-01" @default.
- W1490688076 modified "2023-09-27" @default.
- W1490688076 title "Cellular Automata Based Temporal Process Understanding of Urban Growth" @default.
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- W1490688076 doi "https://doi.org/10.1007/3-540-45830-1_31" @default.
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