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Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey

Author

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  • H. A. Nefeslioglu
  • E. Sezer
  • C. Gokceoglu
  • A. S. Bozkir
  • T. Y. Duman

Abstract

The main purpose of the present study is to investigate the possible application of decision tree in landslide susceptibility assessment. The study area having a surface area of 174.8 k m 2 locates at the northern coast of the Sea of Marmara and western part of Istanbul metropolitan area. When applying data mining and extracting decision tree, geological formations, altitude, slope, plan curvature, profile curvature, heat load and stream power index parameters are taken into consideration as landslide conditioning factors. Using the predicted values, the landslide susceptibility map of the study area is produced. The AUC value of the produced landslide susceptibility map has been obtained as 89.6%. According to the results of the AUC evaluation, the produced map has exhibited a good enough performance.

Suggested Citation

  • H. A. Nefeslioglu & E. Sezer & C. Gokceoglu & A. S. Bozkir & T. Y. Duman, 2010. "Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey," Mathematical Problems in Engineering, Hindawi, vol. 2010, pages 1-15, February.
    • Handle: RePEc:hin:jnlmpe:901095
    DOI: 10.1155/2010/901095
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    Cited by:

    1. Jean Baptiste Nsengiyumva & Geping Luo & Lamek Nahayo & Xiaotao Huang & Peng Cai, 2018. "Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda," IJERPH, MDPI, vol. 15(2), pages 1-23, January.
    2. Sheela Bhuvanendran Bhagya & Anita Saji Sumi & Sankaran Balaji & Jean Homian Danumah & Romulus Costache & Ambujendran Rajaneesh & Ajayakumar Gokul & Chandini Padmanabhapanicker Chandrasenan & Renata P, 2023. "Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps," Land, MDPI, vol. 12(2), pages 1-29, February.
    3. Okoli Jude Emeka & Haslinda Nahazanan & Bahareh Kalantar & Zailani Khuzaimah & Ojogbane Success Sani, 2021. "Evaluation of the Effect of Hydroseeded Vegetation for Slope Reinforcement," Land, MDPI, vol. 10(10), pages 1-23, September.
    4. Ayfer Ozyilmaz & Yuksel Bayraktar & Esme Isik & Metin Toprak & Mehmet Bilal Er & Furkan Besel & Serdar Aydin & Mehmet Firat Olgun & Sandra Collins, 2022. "The Relationship between Health Expenditures and Economic Growth in EU Countries: Empirical Evidence Using Panel Fourier Toda–Yamamoto Causality Test and Regression Models," IJERPH, MDPI, vol. 19(22), pages 1-17, November.

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