Comparison of three statistical methods for earthquake-induced landslides susceptibility in Lushan region China

Comparison of three statistical methods for earthquake-induced landslides susceptibility in Lushan region China

This paper adopts three models including the logistic regression (LR), support vector machine (SVM), and random forest (RF) to study the susceptibility distribution rule of susceptibility distribution of earthquakes induced landslides. The Area Under the Receiver Operating Characteristic (ROC) curve...

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Main Authors: Liu Rui, Li Luyao, Lai Zili, Yang Xin
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/58/e3sconf_isceg2020_02024.pdf
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spelling doaj-9ee94bff209749f991fd436a3ba97c822021-04-02T18:07:59ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011980202410.1051/e3sconf/202019802024e3sconf_isceg2020_02024Comparison of three statistical methods for earthquake-induced landslides susceptibility in Lushan region ChinaLiu RuiLi Luyao0Lai Zili1Yang Xin2College of Geophysics, Chengdu University of TechnologyDongpo district, Meishan, Sichuan province, Meishan Housing and Urban-Rural Construction BureauCollege of Geophysics, Chengdu University of TechnologyThis paper adopts three models including the logistic regression (LR), support vector machine (SVM), and random forest (RF) to study the susceptibility distribution rule of susceptibility distribution of earthquakes induced landslides. The Area Under the Receiver Operating Characteristic (ROC) curve (AUC) and Ratio were used for evaluating the model’s accuracy and mapping availability susceptibility assessment. The result shows that RF has the best performance in the susceptibility assessment of earthquake-induced landslides in the Lushan region of China.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/58/e3sconf_isceg2020_02024.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Liu Rui
Li Luyao
Lai Zili
Yang Xin
spellingShingle Liu Rui
Li Luyao
Lai Zili
Yang Xin
Comparison of three statistical methods for earthquake-induced landslides susceptibility in Lushan region China
E3S Web of Conferences
author_facet Liu Rui
Li Luyao
Lai Zili
Yang Xin
author_sort Liu Rui
title Comparison of three statistical methods for earthquake-induced landslides susceptibility in Lushan region China
title_short Comparison of three statistical methods for earthquake-induced landslides susceptibility in Lushan region China
title_full Comparison of three statistical methods for earthquake-induced landslides susceptibility in Lushan region China
title_fullStr Comparison of three statistical methods for earthquake-induced landslides susceptibility in Lushan region China
title_full_unstemmed Comparison of three statistical methods for earthquake-induced landslides susceptibility in Lushan region China
title_sort comparison of three statistical methods for earthquake-induced landslides susceptibility in lushan region china
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description This paper adopts three models including the logistic regression (LR), support vector machine (SVM), and random forest (RF) to study the susceptibility distribution rule of susceptibility distribution of earthquakes induced landslides. The Area Under the Receiver Operating Characteristic (ROC) curve (AUC) and Ratio were used for evaluating the model’s accuracy and mapping availability susceptibility assessment. The result shows that RF has the best performance in the susceptibility assessment of earthquake-induced landslides in the Lushan region of China.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/58/e3sconf_isceg2020_02024.pdf
work_keys_str_mv AT liurui comparisonofthreestatisticalmethodsforearthquakeinducedlandslidessusceptibilityinlushanregionchina
AT liluyao comparisonofthreestatisticalmethodsforearthquakeinducedlandslidessusceptibilityinlushanregionchina
AT laizili comparisonofthreestatisticalmethodsforearthquakeinducedlandslidessusceptibilityinlushanregionchina
AT yangxin comparisonofthreestatisticalmethodsforearthquakeinducedlandslidessusceptibilityinlushanregionchina
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