The Impact of Misclassification in Land Use Maps in the Prediction of Landscape Dynamics |
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Authors: | Shoufan Fang George Gertner Guangxing Wang Alan Anderson |
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Institution: | (1) Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, W503 Turner Hall, 1102 S. Goodwin Avenue, Urbana, IL 61801, USA;(2) US Army Corps of Engineer, Construction Engineering Research Laboratory, 9000 Research Park, Champaign, IL 61824, USA |
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Abstract: | Land use maps are widely used in modeling land use change, urban sprawl, and for other landscape related studies. A misclassification
confusion matrix for land use maps is usually provided as a measure of their quality and uncertainty. However, this very important
information is rarely considered in land use map based studies, especially in modeling landscape dynamics. Ignoring uncertainty
of land use maps may cause models to provide unreliable predictions. This study is an attempt to investigate the impact of
the accuracy of land use maps used as input for an urban sprawl model. In the study area, the regional confusion matrix has
been localized using a topographical map. Based on the regional and local confusion matrices, several error levels have been
defined. The results showed that a localized confusion matrix that reflected the characteristics of the study area had error
rates that were much different than the regional confusion matrix. The predictions of the probability of urban sprawl based
on the land use maps and defined error levels were quite different. |
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Keywords: | Confusion matrix Forest Land use map Logistic regression Spatial modeling Uncertainty Urban sprawl |
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