Predicting Urban Growth of the Greater Toronto Area - Coupling a Markov Cellular Automata with Document Meta-Analysis
作者: E. Vaz J. J. Arsanjani
刊名: Journal of Environmental Informatics, 2015, Vol.25 (2)
来源数据库: International Society for Environmental Information Science
DOI: 10.3808/jei.201500299
关键词: urban growthcellular automatatext miningGreater Toronto AreaTorontomulti-criteria evaluation
原始语种摘要: Toronto’s Census Metropolitan Area (CMA) has faced on-going challenges concerning its demographic shifts in the urban and rural fringe tending to become a megacity over the coming decades, due to rapid population increase and urban amalgamation. For this research we examine past urban land use transitions in Toronto’s CMA based on collected remote sensing data between 1973 and 2010. A Markov Cellular Automata approach is used deriving the CMA urban future based on the existing and planned strategies for Ontario. This is done by a combination of multi-criteria evaluation processes originating transition probabilities that allow a better understanding of the regions urban future by 2030. While the transition probabilities are incorporated from the traditional Markov Chain process, the...
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  • urban 城市
  • propensity 晶癖
  • suitability 适应
  • Analysis 分析
  • expected 预期
  • approach 
  • planned 计划的
  • Growth 生长
  • transition 转移
  • planning 计划