Performance Evaluation of the SLEUTH Model in the Shenyang Metropolitan Area of Northeastern China |
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Authors: | Xiaoqing Wu Yuanman Hu Hong S He Rencang Bu Jeff Onsted Fengming Xi |
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Institution: | (1) Institute of Applied Ecology, Chinese Academy of Sciences, 72, Wenhua Road, Shenhe District, Shenyang, 110016, China;(2) Department of International Relations and Geography, Florida International University, 11200 S.W. 8th Street, Miami, FL 33199, USA |
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Abstract: | Performance evaluation is crucial for the development and improvement of an urban cellular automata model, such as SLEUTH.
In this paper, we employed multiple methods for map comparison and model validation to evaluate the simulation performance
of the SLEUTH urban growth model in the Shenyang metropolitan area of China. These multiple methods included the relative
operating characteristic (ROC) curve statistic, multiple-resolutions error budget, and landscape metrics. They were used to
quantitatively examine model performance in terms of the amount and spatial location of urban development, urban spatial pattern
and prediction ability. The assessment results showed that SLEUTH performed well in the way of the quantitative simulation
of urban growth for this case study. Similar to other urban growth models, however, the simulation accuracy for spatial location
of new development at the pixel scale and urban spatial pattern still needs to be improved greatly. These inaccuracies might
be attributed to the structure and nature of SLEUTH, local urban development characteristics, and the temporal and spatial
scale of its application. Finally, many valuable suggestions had been put forward to improve simulation performance of SLEUTH
model for spatial location of urban development in the Shenyang metropolitan area. |
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Keywords: | Multiple methods SLEUTH model Model performance Urban growth |
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