Is there a space in landslide susceptibility modelling: A case study of Valtellina Valley, Northern Italy
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...
Saved in:
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: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
From data to application: Harnessing big spatial data and spatially explicit machine learning model for landslide susceptibility prediction and mapping
by: KHANT, Min Naing, et al.
Published: (2024) -
Some initiatives in a business forecasting course
by: Chu, S.
Published: (2013) -
Predicting Crash Rate Using Logistic Quantile Regression With Bounded Outcomes
by: Xu, Xuecai, et al.
Published: (2018) -
Measuring the Impact of Financial Factors on Corporate Restructuring Among Selected Corporations in the Philippines: A Comprehensive Analysis using a Multinomial Logistic Regression Model
by: Fernando, Anna Margarita, et al.
Published: (2012) -
Evaluating seismic liquefaction potential using multivariate adaptive regression splines and logistic regression
by: Zhang, Wengang, et al.
Published: (2018)