Spatial Proximity-Based Geographically Weighted Regression Model for Landslide Susceptibility Assessment: A Case Study of Qingchuan Area, China
暂无分享,去创建一个
Jie Dou | Xintong Liu | Yange Li | Jie Dou | Yange Li | Zheng Han | Zheng Han | Xintong Liu | J. Dou | Yan-ge Li
[1] R. Sidle,et al. A distributed slope stability model for steep forested basins , 1995 .
[2] Stan Openshaw,et al. Modifiable Areal Unit Problem , 2008, Encyclopedia of GIS.
[3] C. J. Westen,et al. Qualitative landslide susceptibility assessment by multicriteria analysis: A case study from San Antonio del Sur, Guantánamo, Cuba , 2008 .
[4] Nelson Mileu,et al. Integrating Risk Assessment into Spatial Planning: RiskOTe Decision Support System , 2018, ISPRS Int. J. Geo Inf..
[5] Biswajeet Pradhan,et al. A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India) , 2016, Environ. Model. Softw..
[6] P. Reichenbach,et al. Estimating the quality of landslide susceptibility models , 2006 .
[7] A. Brenning,et al. Integrating physical and empirical landslide susceptibility models using generalized additive models , 2011 .
[8] Biswajeet Pradhan,et al. Analysis and evaluation of landslide susceptibility: a review on articles published during 2005–2016 (periods of 2005–2012 and 2013–2016) , 2018, Arabian Journal of Geosciences.
[9] Huifang Li,et al. A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment , 2018, Earth Science Informatics.
[10] A. Páez,et al. Geographically Weighted Regression , 2021, Handbook of Regional Science.
[11] Guang-qi Chen,et al. Rainfall and earthquake-induced landslide susceptibility assessment using GIS and Artificial Neural Network , 2012 .
[12] M. Luoto,et al. 2.6 Statistical Methods for Geomorphic Distribution Modeling , 2013 .
[13] Hyeong-Dong Park,et al. National-scale assessment of landslide susceptibility to rank the vulnerability to failure of rock-cut slopes along expressways in Korea , 2011 .
[14] A. Stewart Fotheringham,et al. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity , 2010 .
[15] Shiliang Su,et al. Area Social Deprivation and Public Health: Analyzing the Spatial Non-stationary Associations Using Geographically Weighed Regression , 2017 .
[16] A. Stewart Fotheringham,et al. Geographically weighted regression and multicollinearity: dispelling the myth , 2016, J. Geogr. Syst..
[17] D. Montgomery,et al. A physically based model for the topographic control on shallow landsliding , 1994 .
[18] Shi An-chi. 3D GEOLOGICAL VISUALIZATION AND NUMERICAL MODELING OF COMPLICATED SLOPE , 2007 .
[19] Jin Su Jeong,et al. Optimizing the location of a biomass plant with a fuzzy-DEcision-MAking Trial and Evaluation Laboratory (F-DEMATEL) and multi-criteria spatial decision assessment for renewable energy management and long-term sustainability , 2017 .
[20] A. M. Abudeif,et al. Multicriteria decision analysis based on analytic hierarchy process in GIS environment for siting nuclear power plant in Egypt , 2015 .
[21] Biswajeet Pradhan,et al. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS , 2013, Comput. Geosci..
[22] J. Corominas,et al. Assessment of shallow landslide susceptibility by means of multivariate statistical techniques , 2001 .
[23] Lewis A. Owen,et al. GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region , 2008 .
[24] Zheng Han,et al. Comprehensive analysis of landslide stability and related countermeasures: a case study of the Lanmuxi landslide in China , 2019, Scientific Reports.
[25] Tahir Ali Akbar,et al. Landslide hazard zoning along Himalayan Kaghan Valley of Pakistan—by integration of GPS, GIS, and remote sensing technology , 2011 .
[26] Antonio Páez,et al. Exploring Contextual Variations in Land Use and Transport Analysis Using a Probit Model with Geographical Weights , 2006 .
[27] Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (review) , 2003 .
[28] J. Iqbal,et al. Identification of landslide spatial distribution and susceptibility assessment in relation to topography in the Xi’an Region, Shaanxi Province, China , 2015, Frontiers of Earth Science.
[29] Majid Shadman Roodposhti,et al. Landslide susceptibility mapping using geographically-weighted principal component analysis , 2014 .
[30] J. Tu. Spatially varying relationships between land use and water quality across an urbanization gradient explored by geographically weighted regression. , 2011 .
[31] H. Sebnem Düzgün,et al. Spatial and Geographically Weighted Regression , 2008, Encyclopedia of GIS.
[32] Yange Li,et al. Noncontact detection of earthquake-induced landslides by an enhanced image binarization method incorporating with Monte-Carlo simulation , 2019, Geomatics, Natural Hazards and Risk.
[33] B. Pradhan,et al. Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS. , 2019, Journal of environmental management.
[34] D. Kawabata,et al. Landslide susceptibility mapping using geological data, a DEM from ASTER images and an Artificial Neural Network (ANN) , 2009 .
[35] Muhammad Shafique,et al. Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan , 2019, The Egyptian Journal of Remote Sensing and Space Science.
[36] Ali P. Yunus,et al. Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan , 2019, Landslides.
[37] S. Leyk,et al. Robust assessment of spatial non-stationarity in model associations related to pediatric mortality due to diarrheal disease in Brazil. , 2012, Spatial and spatio-temporal epidemiology.