Simulating multiple class urban land-use/cover changes by RBFN-based CA   model

doi:10.1016/j.cageo.2010.07.006

CORC > 北京大学 > 城市与环境学院

	Simulating multiple class urban land-use/cover changes by RBFN-based CA model
	Wang, Yang ; Li, Shuangcheng
刊名	计算机与地学
	2011
关键词	Cellular Automata Radial Basis Function Neural Network Computer Simulation GIS Spatial Analysis Shenzhen City China NEURAL-NETWORK CELLULAR-AUTOMATA DYNAMICS VALIDATION SYSTEMS GIS PATTERN GROWTH
DOI	10.1016/j.cageo.2010.07.006
英文摘要	Land use systems are complex adaptive systems, and they are characterized by emergence, nonlinearity, feedbacks, self organization, path dependence, adaptation, and multiple-scale characteristics. Land use/cover change has been recognized as one of the major drivers of global environmental change. This paper presents a coupled Cellular Automata (CA) and Radial Basis Function Neural (RBFN) Network model, which combines Geographic Information Systems (GIS) to contribute to the understanding of the complex land use/cover change process. In this model. GIS analysis is used to generate spatial drivers of land use/cover changes, and RBFN is trained to extract model parameters. Through the RBFN-CA model, the conversion probabilities of each cell from its initial land use state to the target type can be generated automatically. Future land use/cover scenarios are projected by using generated parameters in the model training process. This RBFN-CA model is tested based on the comparison of model output and the real data. A BPN-CA model is also built and compared with the RBFN-CA model by using a variety of calibration metrics, including confusion matrix, figure of merit, and landscape metrics. Both the location and landscape metrics based assessment for model simulation indicate that the RBFN-CA model performs better than the BPN-CA model for simulating land use changes in the study area. Therefore the RBFN-CA model is capable of simulating multiple classes of land use/cover changes and can be used as a useful communication environment for stakeholders involved in land use decision-making. (C) 2010 Elsevier Ltd. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000287290200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Interdisciplinary Applications; Geosciences, Multidisciplinary; SCI(E); EI; SSCI; 8; ARTICLE; 2; 111-121; 37
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/161103]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Wang, Yang,Li, Shuangcheng. Simulating multiple class urban land-use/cover changes by RBFN-based CA model[J]. 计算机与地学,2011.
APA	Wang, Yang,&Li, Shuangcheng.(2011).Simulating multiple class urban land-use/cover changes by RBFN-based CA model.计算机与地学.
MLA	Wang, Yang,et al."Simulating multiple class urban land-use/cover changes by RBFN-based CA model".计算机与地学 (2011).