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

• DOI: 10.1016/j.envsoft.2015.10.014
• Publication Date: 2015-11-11T00:52:35Z
• Authors: Jiangfu Liao; Lina Tang; Guofan Shao; Xiaodan Su; Dingkai Chen; Tong Xu
• Keywords: Cellular automata; Ecological Modelling; Urban expansion; Extended enrichment factors; Neighborhood rules; Environmental Science(all); 11. Sustainability; 0211 other engineering and technologies; 02 engineering and technology; 15. Life on land; Neighborhood effects

Urban cellular automata (CA) models are broadly used in quantitative analyses and predictions of urban land-use dynamics. However, most CA developed with neighborhood rules consider only a small scope under specific spatial resolution. Here, we quantify effects relatively large space analyze their role the performance an land use model. The extracted were integrated into commonly logistic regression model (Logistic-CA), resulting (Logistic-LNCA). Land-use simulations both evaluated expansion data Xiamen City, China. Simulations Logistic-LNCA raised accuracies built-up by 3.0%–3.9% two simulation periods compared Logistic-CA 3 × kernel. Parameter sensitivity analysis indicated that there was optimal window size corresponding parameter configuration.