A systematic review of landslide probability mapping using logistic regression
A systematic review of landslide probability mapping using logistic regression
Logistic regression studies which assess landslide susceptibility are widely available in the literature. However, a global review of these studies to synthesise and compare the results does not exist. There are currently no guidelines for the selection of covariates to be used in logistic regression analysis, and as such, the covariates selected vary widely between studies. An inventory of significant covariates associated with landsliding produced from the full set of such studies globally would be a useful aid to the selection of covariates in future logistic regression studies. Thus, studies using logistic regression for landslide susceptibility estimation published in the literature were collated, and a database was created of the significant factors affecting the generation of landslides. The database records the paper the data were taken from, the year of publication, the approximate longitude and latitude of the study area, the trigger method (where appropriate) and the most dominant type of landslides occurring in the study area. The significant and non-significant (at the 95 % confidence level) covariates were recorded, as well as their coefficient, statistical significance and unit of measurement. The most common statistically significant covariate used in landslide logistic regression was slope, followed by aspect. The significant covariates related to landsliding varied for earthquake-induced landslides compared to rainfall-induced landslides, and between landslide type. More importantly, the full range of covariates used was identified along with their frequencies of inclusion. The analysis showed that there needs to be more clarity and consistency in the methodology for selecting covariates for logistic regression analysis and in the metrics included when presenting the results. Several recommendations for future studies were given.
landslides, logistic regression, covariates, systematic literature review search
419-436
Budimir, M.E.A.
803e3f60-90af-431f-a451-846d0e0db9f9
Atkinson, P.M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Lewis, H
e9048cd8-c188-49cb-8e2a-45f6b316336a
June 2015
Budimir, M.E.A.
803e3f60-90af-431f-a451-846d0e0db9f9
Atkinson, P.M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Lewis, H
e9048cd8-c188-49cb-8e2a-45f6b316336a
Budimir, M.E.A., Atkinson, P.M. and Lewis, H
(2015)
A systematic review of landslide probability mapping using logistic regression.
Landslides, 12 (3), .
(doi:10.1007/s10346-014-0550-5).
Abstract
Logistic regression studies which assess landslide susceptibility are widely available in the literature. However, a global review of these studies to synthesise and compare the results does not exist. There are currently no guidelines for the selection of covariates to be used in logistic regression analysis, and as such, the covariates selected vary widely between studies. An inventory of significant covariates associated with landsliding produced from the full set of such studies globally would be a useful aid to the selection of covariates in future logistic regression studies. Thus, studies using logistic regression for landslide susceptibility estimation published in the literature were collated, and a database was created of the significant factors affecting the generation of landslides. The database records the paper the data were taken from, the year of publication, the approximate longitude and latitude of the study area, the trigger method (where appropriate) and the most dominant type of landslides occurring in the study area. The significant and non-significant (at the 95 % confidence level) covariates were recorded, as well as their coefficient, statistical significance and unit of measurement. The most common statistically significant covariate used in landslide logistic regression was slope, followed by aspect. The significant covariates related to landsliding varied for earthquake-induced landslides compared to rainfall-induced landslides, and between landslide type. More importantly, the full range of covariates used was identified along with their frequencies of inclusion. The analysis showed that there needs to be more clarity and consistency in the methodology for selecting covariates for logistic regression analysis and in the metrics included when presenting the results. Several recommendations for future studies were given.
Text
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More information
Accepted/In Press date: 23 December 2014
e-pub ahead of print date: 15 January 2015
Published date: June 2015
Keywords:
landslides, logistic regression, covariates, systematic literature review search
Organisations:
Aeronautics, Astronautics & Comp. Eng, Faculty of Engineering and the Environment
Identifiers
Local EPrints ID: 388582
URI: http://eprints.soton.ac.uk/id/eprint/388582
ISSN: 1612-510X
PURE UUID: 09c70161-c03a-4678-bbe9-d42b806900cb
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Date deposited: 01 Mar 2016 09:01
Last modified: 15 Mar 2024 02:54
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Author:
M.E.A. Budimir
Author:
P.M. Atkinson
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