Statistical analysis of landslide susceptibility at Yongin, Korea
By Saro Lee, K. Min. 2001
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Wei Chen
- Biswajeet Pradhan
- Binh Thai Pham
- Hamid Reza Pourghasemi
- D. Tien Bui
- Saro Lee
- Hakan Ahmet Nefeslioglu
- Huichan Chai
Citations in the corpus
- Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (2009, methodology): “It is also very hard to process the large amount of data in the statistical package (Lee and Min, 2001).”
- Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data (2005, background): “…(Rowbotham and Dudycha 1998, Jibson et al. 2000, Luzi et al. 2000, Parise and Jibson 2000, Rautelal and Lakhera 2000, Baeza and Corominas 2001, Lee and Min 2001, Temesgen et al. 2001, Clerici et al. 2002, Donati and Turrini 2002, Lee et al. 2002a, b, 2004a, Zhou et al. 2002, Lee and Choi…”
- Assessment of geo-environmental problems of the Zonguldak province (NW Turkey) (2008, background): “where p is the probability that the dependent variable (Y )i s 1, P/(1 ‐ P) is the so-called odds on likelihood ratio, c0 is the intercept, and c1, c2,…,cn are the coefficients that measure the contribution of independent factors (x1, x2,…,xn) to the variations in Y. In a recent landslide literature”
- Evolution and Prediction of Landscape Pattern and Habitat Quality Based on CA-Markov and InVEST Model in Hubei Section of Three Gorges Reservoir Area (TGRA) (2018, background): “In the application for exploring influencing factors on landscape variation, the common solution is to create layers of binary values for each class of an independent parameter [59,66,67].”
- Landslide susceptibility evaluation and hazard zonation techniques – a review (2020, methodology): “The overlay analysis will thus provide a ratio between landslide that ‘did’ occur to the landslide that ‘did not’ occur within each causative factor class (Hamza and Raghuvanshi 2017; Dai and Lee 2001; Lee and Min 2001).”
- Implementation of reconstructed geomorphologic units in landslide susceptibility mapping: the Melen Gorge (NW Turkey) (2008, methodology): “In literature, the logistic regression technique is widely used in producing landslide susceptibility maps (e.g., Atkinson and Massari 1998; Gorsevski et al. 2000; Lee and Min 2001; Ohlmacher and Davis 2003; Lee 2004, 2005; Ayalew and Yamagishi 2005; Can et al. 2005; Duman et al. 2006; Nefeslioglu”
- Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models (2007, background): “Recently, there were studies on landslide hazard evaluation using GIS, and many of these studies have applied probabilistic methods (Rowbotham and Dudycha 1998; Guzzetti et al. 1999; Jibson et al. 2000; Luzi et al. 2000; Parise and Jibson 2000; Rautelal and Lakhera 2000; Baeza and Corominas 2001; L”
- GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China (2015, background): “The slope degree is one of the main parameters influencing the slope stability (Pourghasemi et al. 2012b; Lee and Min 2001).”
- Ensemble-based landslide susceptibility maps in Jinbu area, Korea (2012, methodology): “1, is calculated by a summation of each factor ratio value (Lee and Min 2001):”
- Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey) (2004, unknown): “, 1991; Gokceoglu and Aksoy, 1996), statistical methods (Dai et al., 2001; Lee and Min, 2001; Carrara et al., 2003) and parameters to evaluate the landslide susceptibility in different parts of the world.”