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An experimental approach for selection/elimination in stream network generalization using support vector machines

Alper Sen (UGent) and Turkay Gokgoz
(2015) GEOCARTO INTERNATIONAL. 30(3). p.311-329
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Abstract
Multi-representation databases (MRDB) are used in several Geographical Information System applications for different purposes. MRDB are mainly obtained through model and cartographic generalizations. The model generalization is essentially achieved with the selection/elimination process in which a decision must be made to include or exclude the object at the target level. In this study, support vector machines (SVM) was, for the first time, used for the selection/elimination process in stream network generalization. Within this context, the attributes to be used as input data in the SVM method were determined and weighted according to the associations determined in a chi-squared independence test. 1:100,000-scale (medium resolution) stream networks were derived from two 1:24,000-scale (high resolution) stream networks with different patterns in the United States Geological Survey National Hydrography Data-sets. The derived stream networks were quite similar to the 1:100,000-scale original stream networks in both qualitative and visual aspects.
Keywords
machine learning, model generalization, selection/elimination, multi-representation databases, support vector machines

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MLA
Sen, Alper, and Turkay Gokgoz. “An Experimental Approach for Selection/Elimination in Stream Network Generalization Using Support Vector Machines.” GEOCARTO INTERNATIONAL, vol. 30, no. 3, 2015, pp. 311–29, doi:10.1080/10106049.2014.937466.
APA
Sen, A., & Gokgoz, T. (2015). An experimental approach for selection/elimination in stream network generalization using support vector machines. GEOCARTO INTERNATIONAL, 30(3), 311–329. https://doi.org/10.1080/10106049.2014.937466
Chicago author-date
Sen, Alper, and Turkay Gokgoz. 2015. “An Experimental Approach for Selection/Elimination in Stream Network Generalization Using Support Vector Machines.” GEOCARTO INTERNATIONAL 30 (3): 311–29. https://doi.org/10.1080/10106049.2014.937466.
Chicago author-date (all authors)
Sen, Alper, and Turkay Gokgoz. 2015. “An Experimental Approach for Selection/Elimination in Stream Network Generalization Using Support Vector Machines.” GEOCARTO INTERNATIONAL 30 (3): 311–329. doi:10.1080/10106049.2014.937466.
Vancouver
1.
Sen A, Gokgoz T. An experimental approach for selection/elimination in stream network generalization using support vector machines. GEOCARTO INTERNATIONAL. 2015;30(3):311–29.
IEEE
[1]
A. Sen and T. Gokgoz, “An experimental approach for selection/elimination in stream network generalization using support vector machines,” GEOCARTO INTERNATIONAL, vol. 30, no. 3, pp. 311–329, 2015.
@article{8716326,
  abstract     = {{Multi-representation databases (MRDB) are used in several Geographical Information System applications for different purposes. MRDB are mainly obtained through model and cartographic generalizations. The model generalization is essentially achieved with the selection/elimination process in which a decision must be made to include or exclude the object at the target level. In this study, support vector machines (SVM) was, for the first time, used for the selection/elimination process in stream network generalization. Within this context, the attributes to be used as input data in the SVM method were determined and weighted according to the associations determined in a chi-squared independence test. 1:100,000-scale (medium resolution) stream networks were derived from two 1:24,000-scale (high resolution) stream networks with different patterns in the United States Geological Survey National Hydrography Data-sets. The derived stream networks were quite similar to the 1:100,000-scale original stream networks in both qualitative and visual aspects.}},
  author       = {{Sen, Alper and Gokgoz, Turkay}},
  issn         = {{1010-6049}},
  journal      = {{GEOCARTO INTERNATIONAL}},
  keywords     = {{machine learning,model generalization,selection/elimination,multi-representation databases,support vector machines}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{311--329}},
  title        = {{An experimental approach for selection/elimination in stream network generalization using support vector machines}},
  url          = {{http://doi.org/10.1080/10106049.2014.937466}},
  volume       = {{30}},
  year         = {{2015}},
}
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