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Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and map**
Commonly used data-driven models for landslide susceptibility prediction (LSP) can be
mainly classified as heuristic, general statistical or machine learning models. This study …
mainly classified as heuristic, general statistical or machine learning models. This study …
[HTML][HTML] Optimization method of conditioning factors selection and combination for landslide susceptibility prediction
Landslide susceptibility prediction (LSP) is significantly affected by the uncertainty issue of
landslide related conditioning factor selection. However, most of literature only performs …
landslide related conditioning factor selection. However, most of literature only performs …
Map** landslide susceptibility with frequency ratio, statistical index, and weights of evidence models: a case study in northern Iran
S Razavizadeh, K Solaimani, M Massironi… - Environmental Earth …, 2017 - Springer
The main objective of this study is to investigate potential application of frequency ratio (FR),
weights of evidence (WoE), and statistical index (SI) models for landslide susceptibility …
weights of evidence (WoE), and statistical index (SI) models for landslide susceptibility …
Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models
C Polykretis, C Chalkias - Natural hazards, 2018 - Springer
The main purpose of this study is to compare the performance of two statistical analysis
models like weight of evidence and logistic regression (LR) with a soft computing model like …
models like weight of evidence and logistic regression (LR) with a soft computing model like …
A comparative assessment of information value, frequency ratio and analytical hierarchy process models for landslide susceptibility map** of a Himalayan …
S Sharma, AK Mahajan - Bulletin of Engineering Geology and the …, 2019 - Springer
This research work presents a comparative performance of geographic information system
(GIS)-based statistical models for landslide susceptibility map** (LSM) of the Himalayan …
(GIS)-based statistical models for landslide susceptibility map** (LSM) of the Himalayan …
GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China
Q Wang, W Li, W Chen, H Bai - Journal of Earth System Science, 2015 - Springer
The main goal of this study is to produce landslide susceptibility maps for the Qianyang
County of Baoji city, China, using both certainty factor (CF) and index of entropy (IOE) …
County of Baoji city, China, using both certainty factor (CF) and index of entropy (IOE) …
Evaluation of a combined spatial multi-criteria evaluation model and deterministic model for landslide susceptibility map**
AMS Pradhan, YT Kim - Catena, 2016 - Elsevier
This study evaluated the application of a combined spatial multi-criteria evaluation model
and deterministic model for landslide susceptibility map** in Deokjeok-ri Creek, located in …
and deterministic model for landslide susceptibility map** in Deokjeok-ri Creek, located in …
[HTML][HTML] A landslide susceptibility assessment method based on GIS technology and an AHP-weighted information content method: A case study of southern Anhui …
H He, D Hu, Q Sun, L Zhu, Y Liu - ISPRS international journal of geo …, 2019 - mdpi.com
Based on geographic information system (GIS) technology in conjunction with two methods
for assessing landslide susceptibility (LS)—namely, a method using experts' knowledge and …
for assessing landslide susceptibility (LS)—namely, a method using experts' knowledge and …
Application of bivariate and multivariate statistical techniques in landslide susceptibility modeling in Chittagong City Corporation, Bangladesh
The communities living on the dangerous hillslopes in Chittagong City Corporation (CCC) in
Bangladesh recurrently experience landslide hazards during the monsoon season. The …
Bangladesh recurrently experience landslide hazards during the monsoon season. The …
[HTML][HTML] Develo** a dynamic Web-GIS based landslide early warning system for the Chittagong Metropolitan Area, Bangladesh
This article aims to develop a Web-GIS based landslide early warning system (EWS) for the
Chittagong Metropolitan Area (CMA), Bangladesh, where, in recent years, rainfall-induced …
Chittagong Metropolitan Area (CMA), Bangladesh, where, in recent years, rainfall-induced …