A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP

Şevket Bediroğlu

doi:10.31466/kfbd.1446997

EN TR

A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP

Abstract

Geographic Information Systems and machine learning algorithms suggest good alternatives for producing landslide susceptibility maps. In the process of producing these maps with machine learning, alternative data model options exist. Success rate of analyses may change according to the preferred data method. In this study, 6 different machine learning models were created by passing different data models with the XGBoost algorithm. Study area is located in the cities of Ordu and Giresun, Turkiye. 14 different factors and related geographic data layers were used. As a result of the study, the most successful model performance was achieved by taking the average values of all pixels of the combined landslide record polygons (Accuracy=0,88, Precision=0,86, F1 score=0,87). SHAP method was applied for better interpretation of machine learning results The susceptibility map produced with the ideal model, overlapped with 57.556 buildings in the region. The buildings were classified in 4 groups (low, moderate, high, and very high) and mapped, indicating their risk level.

Keywords

Landslide susceptibility mapping, machine learning, SHAP, GIS, geospatial data model

XGBoost ve SHAP ile Heyelan Duyarlılık Haritalaması İçin Alternatif CBS Veri Modeli Yöntemlerinin Karşılaştırılması

Abstract

Coğrafi Bilgi Sistemleri ve makine öğrenimi algoritmaları, heyelan duyarlılık haritalarının üretilmesi için iyi alternatifler önermektedir. Bu haritaların makine öğrenmesi ile üretilmesi sürecinde alternatif veri modeli seçenekleri mevcuttur. Tercih edilen veri yöntemine göre analizlerin başarı oranı değişebilir. Bu çalışmada XGBoost algoritması ile farklı veri modellerini geçerek 6 farklı makine öğrenmesi modeli oluşturulmuştur. Çalışma alanı Türkiye'nin Ordu ve Giresun illerinde bulunmaktadır. 14 farklı faktör ve ilgili coğrafi veri katmanları kullanıldı. Çalışma sonucunda en başarılı model performansı, birleştirilmiş heyelan kayıt poligonlarının tüm piksellerinin ortalama değerleri alınarak elde edilmiştir. Makine öğrenmesi sonuçlarının daha iyi yorumlanması için SHAP yöntemi uygulandı. İdeal model ile üretilen duyarlılık haritası, bölgedeki 57.556 bina ile örtüştü. Binalar 4 grupta (düşük, orta, yüksek ve çok yüksek) sınıflandırılarak risk düzeyleri belirtilerek haritalanmıştır.

Keywords

Heyelan duyarlılık haritası, Makine öğrenmesi, SHAP, CBS, Coğrafi veri modeli

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Details

Primary Language

English

Subjects

Geological Sciences and Engineering (Other)

Journal Section

Research Article

Authors

Şevket Bediroğlu ^*
0000-0002-7216-6910
Türkiye

Publication Date

September 15, 2024

Submission Date

March 5, 2024

Acceptance Date

May 28, 2024

Published in Issue

Year 2024 Volume: 14 Number: 3

DOI

https://doi.org/10.31466/kfbd.1446997

IZ

https://izlik.org/JA27XJ96GD

APA

Bediroğlu, Ş. (2024). A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP. Karadeniz Fen Bilimleri Dergisi, 14(3), 1204-1224. https://doi.org/10.31466/kfbd.1446997

AMA

1.Bediroğlu Ş. A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP. KFBD. 2024;14(3):1204-1224. doi:10.31466/kfbd.1446997

Chicago

Bediroğlu, Şevket. 2024. “A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping With XGBoost and SHAP”. Karadeniz Fen Bilimleri Dergisi 14 (3): 1204-24. https://doi.org/10.31466/kfbd.1446997.

EndNote

Bediroğlu Ş (September 1, 2024) A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP. Karadeniz Fen Bilimleri Dergisi 14 3 1204–1224.

IEEE

[1]Ş. Bediroğlu, “A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP”, KFBD, vol. 14, no. 3, pp. 1204–1224, Sept. 2024, doi: 10.31466/kfbd.1446997.

ISNAD

Bediroğlu, Şevket. “A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping With XGBoost and SHAP”. Karadeniz Fen Bilimleri Dergisi 14/3 (September 1, 2024): 1204-1224. https://doi.org/10.31466/kfbd.1446997.

JAMA

1.Bediroğlu Ş. A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP. KFBD. 2024;14:1204–1224.

MLA

Bediroğlu, Şevket. “A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping With XGBoost and SHAP”. Karadeniz Fen Bilimleri Dergisi, vol. 14, no. 3, Sept. 2024, pp. 1204-2, doi:10.31466/kfbd.1446997.

Vancouver

1.Şevket Bediroğlu. A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP. KFBD. 2024 Sep. 1;14(3):1204-2. doi:10.31466/kfbd.1446997

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