Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
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 km2 locates at the northern coast of the Sea of Marmara and western part of Istanbul metropolitan area. When applyin...
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2010-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2010/901095 |
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doaj-5c06b84959ee4adfb794c266556f84492020-11-24T21:03:47ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472010-01-01201010.1155/2010/901095901095Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, TurkeyH. A. Nefeslioglu0E. Sezer1C. Gokceoglu2A. S. Bozkir3T. Y. Duman4Department of Geological Research, General Directorate of Mineral Research and Exploration, 06520 Ankara, TurkeyDepartment of Computer Engineering, Hacettepe University, Beytepe, 06800 Ankara, TurkeyDepartment of Geological Engineering, Hacettepe University, Beytepe, 06800 Ankara, TurkeyDepartment of Computer Engineering, Hacettepe University, Beytepe, 06800 Ankara, TurkeyDepartment of Geological Research, General Directorate of Mineral Research and Exploration, 06520 Ankara, TurkeyThe 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 km2 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.http://dx.doi.org/10.1155/2010/901095 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. A. Nefeslioglu E. Sezer C. Gokceoglu A. S. Bozkir T. Y. Duman |
spellingShingle |
H. A. Nefeslioglu E. Sezer C. Gokceoglu A. S. Bozkir T. Y. Duman Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey Mathematical Problems in Engineering |
author_facet |
H. A. Nefeslioglu E. Sezer C. Gokceoglu A. S. Bozkir T. Y. Duman |
author_sort |
H. A. Nefeslioglu |
title |
Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey |
title_short |
Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey |
title_full |
Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey |
title_fullStr |
Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey |
title_full_unstemmed |
Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey |
title_sort |
assessment of landslide susceptibility by decision trees in the metropolitan area of istanbul, turkey |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2010-01-01 |
description |
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 km2 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. |
url |
http://dx.doi.org/10.1155/2010/901095 |
work_keys_str_mv |
AT hanefeslioglu assessmentoflandslidesusceptibilitybydecisiontreesinthemetropolitanareaofistanbulturkey AT esezer assessmentoflandslidesusceptibilitybydecisiontreesinthemetropolitanareaofistanbulturkey AT cgokceoglu assessmentoflandslidesusceptibilitybydecisiontreesinthemetropolitanareaofistanbulturkey AT asbozkir assessmentoflandslidesusceptibilitybydecisiontreesinthemetropolitanareaofistanbulturkey AT tyduman assessmentoflandslidesusceptibilitybydecisiontreesinthemetropolitanareaofistanbulturkey |
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