A comparative analysis of statistical landslide susceptibility mapping in the southeast region of Minas Gerais state, Brazil

Landslide susceptibility mapping using the statistical method of Information Value: A study case in Ribeirão dos Macacos basin, Minas Gerais, Brazil

“…Statistical methods are constructed from the premise that landslide predisposing factors from past events will be correlated with future events (Aleotti & Chowdhury 1999, Guzzetti et al 1999, Fell et al 2008, Barella et al 2019. These methods are indirect and establish spatial correlations between processes and parameters that cause instability (Guzzetti et al 1999).…”

“…The landslides susceptibility portrays the occurrence probability of a movement according to the terrain characteristics (Guzzetti et al 2006, Sobreira & Souza 2012. It is based on the concept that new landslides will occur under the same conditions that have already generated landslides in the past (Guzzetti et al 1999, Barella et al 2019 and can be used to predict the geographic location of future mass movements (Chung & Fabri 1999, Guzzetti et al 2005. It should be noted that the susceptibility is not intended to predict the time or frequency of events, only their spatial location (Guzzetti et al 2005).…”

Integrating Multivariate (GeoDetector) and Bivariate (IV) Statistics for Hybrid Landslide Susceptibility Modeling: A Case of the Vicinity of Pinios Artificial Lake, Ilia, Greece

“…Since it can provide information about the accuracy and prediction ability of the model, and thus the reliability of its LS output, this step is crucial for any relevant research effort. A standard validation procedure is one based on success and prediction rates [28,45,48]. This specific procedure depends on the creation of two rate curves explaining the percentages of landslides that fall into defined LS ranks.…”

“…In order to produce the most reliable LS map for a region of interest, one possible solution is to compare different models and select the optimum in terms of accuracy and prediction ability. Several studies have compared two or more different models to recognize the most suitable for a specific region [26][27][28].…”

Αξιολόγηση Μεθόδων Εκτίμησης Της Επιδεκτικότητας Σε Εκδήλωση Κατολίσθησης Με Την Αξιοποίηση Της Γεωπληροφορικής

“…Όπως η ανάλυση ROC, έτσι και τα ποσοστά επιτυχίας και πρόβλεψης εφαρμόζονται για την επικύρωση των αποτελεσμάτων τόσο μεμονωμένων μοντέλων (Chen et al, 2015b;Guri et al, 2015;Kayastha, 2015;Ilia and Tsangaratos, 2016;Tsangaratos and Ilia, 2016;Tekin and Çan, 2018;Tsangaratos et al, 2018;Wu and Song, 2018), όσο και συγκριτικώς εξεταζόμενων μοντέλων (Choi et al, 2012;Zhao et al, 2015;Meng al., 2016;Barella et al, 2018;Demir, 2018;Mahdadi et al, 2018). Σύμφωνα με την προτεινόμενη ταξινόμηση κατολισθήσεων (Varnes, 1978;Cruden and Varnes, 1996), στην παρούσα διατριβή, ο όρος κατολίσθηση χρησιμοποιείται για να περιγράψει ολισθήσεις (μεταθετικές και περιστροφικές), ροές και σύνθετες μετακινήσεις…”