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	An Evaluating Indicator for Urban Sprawl Simulation and Prediction
	Hu, Jiangquan ; Tao, Zhihong ; Chen, Jing ; Kou, Zongmiao ; Wu, Lun
	2010
关键词	evaluation urban simulation and prediction spatial distribution modified-Kappa coefficient LAND-USE CELLULAR-AUTOMATA COEFFICIENT CONVERSION AGREEMENT SYSTEMS GROWTH
英文摘要	The research on urban development simulation and prediction plays an important role in urban planning and effective use of land. Many models have been built on land expansion, using different simulation and prediction techniques. To determine the feasibility of a method, criteria are needed to evaluate the result. Most currently-used criteria consider only quantitative factors, neglecting the spatial factors. However, generating equal results in area of lands does not guarantee the similar accuracy of two predictions. In this research, spatial factors are considered and a new evaluating indicator which compares not only the areas of the prediction and the actual land, but also the diversity of the spatial distribution is proposed. The result of this evaluating indicator named modified-Kappa coefficient provides a better criterion for model evaluation.; Computer Science, Information Systems; Engineering, Electrical & Electronic; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/GEOINFORMATICS.2010.5567545
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/311926]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Hu, Jiangquan,Tao, Zhihong,Chen, Jing,et al. An Evaluating Indicator for Urban Sprawl Simulation and Prediction. 2010-01-01.

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