期刊
ENVIRONMENTAL MODELLING & SOFTWARE
卷 75, 期 -, 页码 163-175出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2015.10.014
关键词
Urban expansion; Cellular automata; Extended enrichment factors; Neighborhood effects; Neighborhood rules
类别
资金
- National Natural Science Foundation of China [41101143]
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%-3.9% in two simulation periods compared with the Logistic-CA model with a 3 x 3 kernel. Parameter sensitivity analysis indicated that there was an optimal large window size in cellular space and a corresponding optimal parameter configuration. (C) 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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