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A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison

This article uses an integrated methodology based on a chi-squared automatic interaction detection (CHAID) model combined with analytic hierarchy process (AHP) for pair-wise comparison to assess medium-scale landslide susceptibility in a catchment in the Inje region of South Korea. An inventory of 3...

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Main Authors: Althuwaynee, Omar F., Pradhan, Biswajeet, Lee, Saro
Format: Article
Language:English
Published: Taylor & Francis 2016
Online Access:http://psasir.upm.edu.my/id/eprint/43415/1/A%20novel%20integrated%20model%20for%20assessing%20landslide%20susceptibility%20mapping%20using%20CHAID%20and%20AHP%20pair-wise%20comparison.pdf
http://psasir.upm.edu.my/id/eprint/43415/
http://www.tandfonline.com/doi/abs/10.1080/01431161.2016.1148282?journalCode=tres20
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spelling my.upm.eprints.434152016-05-19T02:20:48Z http://psasir.upm.edu.my/id/eprint/43415/ A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison Althuwaynee, Omar F. Pradhan, Biswajeet Lee, Saro This article uses an integrated methodology based on a chi-squared automatic interaction detection (CHAID) model combined with analytic hierarchy process (AHP) for pair-wise comparison to assess medium-scale landslide susceptibility in a catchment in the Inje region of South Korea. An inventory of 3596 landslide locations was collected using remote sensing, and a random sample comprising 30% of these was used to validate the model. The remaining portion (70%) was processed by the nearest-neighbour index (NNI) technique and used for extracting the cluster patterns at each location. These data were used for model training purposes. Ten landslide-conditioning factors (independent variables) representing four main domains, namely (1) topology, (2) geology, (3) hydrology, and (4) land cover, were used to produce two landslide-susceptibility maps. The first landslide-susceptibility map (LSM1) was produced by overlaying the terminal nodes of the CHAID result tree. The second landslide-susceptibility map (LSM2) was produced using the overlay result of AHP pair-wise comparisons of CHAID terminal nodes. The prediction rate curve results were better with LSM2 (area under the prediction curve (AUC) = 0.80) than with LSM1 (AUC = 0.76). The results confirmed that the integrated hybrid model has superior prediction performance and reliability, and it is recommended for future use in medium-scale landslide-susceptibility mapping. Taylor & Francis 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43415/1/A%20novel%20integrated%20model%20for%20assessing%20landslide%20susceptibility%20mapping%20using%20CHAID%20and%20AHP%20pair-wise%20comparison.pdf Althuwaynee, Omar F. and Pradhan, Biswajeet and Lee, Saro (2016) A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison. International Journal of Remote Sensing, 37 (5). pp. 1190-1209. ISSN 0143-1161; ESSN: 1366-5901 http://www.tandfonline.com/doi/abs/10.1080/01431161.2016.1148282?journalCode=tres20 10.1080/01431161.2016.1148282
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This article uses an integrated methodology based on a chi-squared automatic interaction detection (CHAID) model combined with analytic hierarchy process (AHP) for pair-wise comparison to assess medium-scale landslide susceptibility in a catchment in the Inje region of South Korea. An inventory of 3596 landslide locations was collected using remote sensing, and a random sample comprising 30% of these was used to validate the model. The remaining portion (70%) was processed by the nearest-neighbour index (NNI) technique and used for extracting the cluster patterns at each location. These data were used for model training purposes. Ten landslide-conditioning factors (independent variables) representing four main domains, namely (1) topology, (2) geology, (3) hydrology, and (4) land cover, were used to produce two landslide-susceptibility maps. The first landslide-susceptibility map (LSM1) was produced by overlaying the terminal nodes of the CHAID result tree. The second landslide-susceptibility map (LSM2) was produced using the overlay result of AHP pair-wise comparisons of CHAID terminal nodes. The prediction rate curve results were better with LSM2 (area under the prediction curve (AUC) = 0.80) than with LSM1 (AUC = 0.76). The results confirmed that the integrated hybrid model has superior prediction performance and reliability, and it is recommended for future use in medium-scale landslide-susceptibility mapping.
format Article
author Althuwaynee, Omar F.
Pradhan, Biswajeet
Lee, Saro
spellingShingle Althuwaynee, Omar F.
Pradhan, Biswajeet
Lee, Saro
A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
author_facet Althuwaynee, Omar F.
Pradhan, Biswajeet
Lee, Saro
author_sort Althuwaynee, Omar F.
title A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
title_short A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
title_full A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
title_fullStr A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
title_full_unstemmed A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
title_sort novel integrated model for assessing landslide susceptibility mapping using chaid and ahp pair-wise comparison
publisher Taylor & Francis
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/43415/1/A%20novel%20integrated%20model%20for%20assessing%20landslide%20susceptibility%20mapping%20using%20CHAID%20and%20AHP%20pair-wise%20comparison.pdf
http://psasir.upm.edu.my/id/eprint/43415/
http://www.tandfonline.com/doi/abs/10.1080/01431161.2016.1148282?journalCode=tres20
_version_ 1643833559510679552
score 13.211869

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