Incorporation of extended neighborhood mechanisms and its impact on urban land-use cellular automata simulations

نویسندگان

  • Jiangfu Liao
  • Lina Tang
  • Guofan Shao
  • Xiaodan Su
  • Dingkai Chen
  • Tong Xu
چکیده

Urban cellular automata (CA) models are broadly used in quantitative analyses and predictions of urban land-use dynamics. However, most urban CA developed with neighborhood rules consider only a small neighborhood scope under a specific spatial resolution. Here, we quantify neighborhood effects in a relatively large cellular space and analyze their role in the performance of an urban land use model. The extracted neighborhood rules were integrated into a commonly used logistic regression urban CA model (Logistic-CA), resulting in a large neighborhood urban land use model (Logistic-LNCA). Land-use simulations with both models were evaluated with urban expansion data in Xiamen City, China. Simulations with the Logistic-LNCA model raised the accuracies of built-up land by 3.0%e3.9% in two simulation periods compared with the Logistic-CA model with a 3 3 kernel. Parameter sensitivity analysis indicated that there was an optimal large window size in cellular space and a corresponding optimal parameter configuration. © 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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عنوان ژورنال:
  • Environmental Modelling and Software

دوره 75  شماره 

صفحات  -

تاریخ انتشار 2016