Is there a space in landslide susceptibility modelling: A case study of Valtellina Valley, Northern Italy

• Main Authors: KHANT, Min Naing, ANN, Mei Yi Victoria Grace, KAM, Tin Seong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Landslide Susceptibility; Geographically Weighted Logistic Regression; Logistic Regression; Explanatory Modelling; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9350; https://ink.library.smu.edu.sg/context/sis_research/article/10350/viewcontent/978_3_031_64605_8_16.pdf
• Institution: Singapore Management University

Landslides pose significant and ever-threatening risks to human life and infrastructure worldwide. Landslide susceptibility modelling is an emerging field of research seeking to determine contributing factors of these events. Yet, previous studies rarely explored the spatial variation of different l...