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  • 标题:Modeling Land Allocation in Time and Space
  • 本地全文:下载
  • 作者:Ali Sharifi ; Mohammad Karimi
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII - Part 2
  • 页码:63-68
  • 出版社:Copernicus Publications
  • 摘要:Modeling land allocation for different land uses at regional level is a multi-dimensional problem, as it is influenced by spatial, temporal and dynamics of environmental and socio-economic factors in the complex process of land use change. It is therefore a challenge to develop a proper model that can handle these complexities. In this context, a new model has been conceptualized and developed. The model is considering the expert knowledge, the heuristics and human decision-making in modeling the process of land use change. This paper briefly presents the conceptual model, which is developed based on cellular automata concept and tested with the Borkhar and Meymeh township datasets in Esfahan, Iran
  • 关键词:land allocation; land use change; regional level; SMCDA; cellular automata; expert knowledge
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