Citations (26)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (2)
Hang Wu & Tao Song. (2018) An evaluation of landslide susceptibility using probability statistic modeling and GIS's spatial clustering analysis. Human and Ecological Risk Assessment: An International Journal 24:7, pages 1952-1968.
Read now
Read now
Stamatis Kalogirou & Christos Chalkias. (2014) Mapping environmental risks: Quantitative and spatial modeling approaches. Journal of Maps 10:2, pages 183-185.
Read now
Read now
Articles from other publishers (24)
Zhongguo Zhao, Zhangyan Xu, Chuli Hu, Ke Wang & Xuan Ding. (2024) Geographically weighted neural network considering spatial heterogeneity for landslide susceptibility mapping: A case study of Yichang City, China. CATENA 234, pages 107590.
Crossref
Crossref
Shengwu Qin, Shuangshuang Qiao, Jingyu Yao, Lingshuai Zhang, Xiaowei Liu, Xu Guo, Yang Chen & Jingbo Sun. (2022) Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale. Natural Hazards 114:3, pages 2709-2738.
Crossref
Crossref
Bin Zhao, Xuexi Yang, Qianhong Wu, Weifeng Xiao, Wentao Yang & Min Deng. (2022) Uncovering the Structural Effect Mechanisms of Natural and Social Factors on Land Subsidence: A Case Study in Beijing. Sustainability 14:16, pages 10139.
Crossref
Crossref
Yange Li, Shuangfei Huang, Jiaying Li, Jianling Huang & Weidong Wang. (2022) Spatial Non-Stationarity-Based Landslide Susceptibility Assessment Using PCAMGWR Model. Water 14:6, pages 881.
Crossref
Crossref
Jia Min Lin & Lawal Billa. (2021) Spatial prediction of flood-prone areas using geographically weighted regression. Environmental Advances 6, pages 100118.
Crossref
Crossref
Sheelu Jones, A K Kasthurba, Anjana Bhagyanathan & B V Binoy. (2021) Impact of anthropogenic activities on landslide occurrences in southwest India: An investigation using spatial models. Journal of Earth System Science 130:2.
Crossref
Crossref
Abbas Abbaszadeh Shahri & Fardad Maghsoudi Moud. (2020) Landslide susceptibility mapping using hybridized block modular intelligence model. Bulletin of Engineering Geology and the Environment 80:1, pages 267-284.
Crossref
Crossref
Indrajit Chowdhuri, Subodh Chandra Pal, Alireza Arabameri, Phuong Thao Thi Ngo, Rabin Chakrabortty, Sadhan Malik, Biswajit Das & Paramita Roy. (2020) Ensemble approach to develop landslide susceptibility map in landslide dominated Sikkim Himalayan region, India. Environmental Earth Sciences 79:20.
Crossref
Crossref
Emmanouil Psomiadis, Nikos Charizopoulos, Nikolaos Efthimiou, Konstantinos X. Soulis & Ioannis Charalampopoulos. (2020) Earth Observation and GIS-Based Analysis for Landslide Susceptibility and Risk Assessment. ISPRS International Journal of Geo-Information 9:9, pages 552.
Crossref
Crossref
Christos Chalkias, Christos Polykretis, Efthimios Karymbalis, Mauro Soldati, Alessandro Ghinoi & Maria Ferentinou. (2020) Exploring spatial non-stationarity in the relationships between landslide susceptibility and conditioning factors: a local modeling approach using geographically weighted regression. Bulletin of Engineering Geology and the Environment 79:6, pages 2799-2814.
Crossref
Crossref
Emmanouil Psomiadis, Andreas Papazachariou, Konstantinos Soulis, Despoina-Simoni Alexiou & Ioannis Charalampopoulos. (2020) Landslide Mapping and Susceptibility Assessment Using Geospatial Analysis and Earth Observation Data. Land 9:5, pages 133.
Crossref
Crossref
Vincenzo Marsala, Alberto Galli, Giorgio Paglia & Enrico Miccadei. (2019) Landslide Susceptibility Assessment of Mauritius Island (Indian Ocean). Geosciences 9:12, pages 493.
Crossref
Crossref
Guilherme Garcia de Oliveira, Luis Fernando Chimelo Ruiz, Laurindo Antonio Guasselli & Claus Haetinger. (2019) Random forest and artificial neural networks in landslide susceptibility modeling: a case study of the Fão River Basin, Southern Brazil. Natural Hazards 99:2, pages 1049-1073.
Crossref
Crossref
Xiangang Luo, Feikai Lin, Yihong Chen, Shuang Zhu, Zhanya Xu, Zhibin Huo, Mengliang Yu & Jing Peng. (2019) Coupling logistic model tree and random subspace to predict the landslide susceptibility areas with considering the uncertainty of environmental features. Scientific Reports 9:1.
Crossref
Crossref
Yu Zhao, Rui Wang, Yuanjun Jiang, Huajun Liu & Zhenlei Wei. (2019) GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China. Engineering Geology 259, pages 105147.
Crossref
Crossref
Yang Yang, Jintao Yang, Chengdong Xu, Chong Xu & Chao Song. (2019) Local-scale landslide susceptibility mapping using the B-GeoSVC model. Landslides 16:7, pages 1301-1312.
Crossref
Crossref
Christos Polykretis, Christos Chalkias & Maria Ferentinou. (2017) Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area. Bulletin of Engineering Geology and the Environment 78:2, pages 1173-1187.
Crossref
Crossref
Alireza Arabameri, Biswajeet Pradhan & Khalil Rezaei. (2019) Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS. Journal of Environmental Management 232, pages 928-942.
Crossref
Crossref
Jintao Yang, Chao Song, Yang Yang, Chengdong Xu, Fei Guo & Lei Xie. (2019) New method for landslide susceptibility mapping supported by spatial logistic regression and GeoDetector: A case study of Duwen Highway Basin, Sichuan Province, China. Geomorphology 324, pages 62-71.
Crossref
Crossref
Christos Polykretis & Christos Chalkias. (2018) Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models. Natural Hazards 93:1, pages 249-274.
Crossref
Crossref
Biswajeet Pradhan & Maher Ibrahim Sameen. 2017. Laser Scanning Applications in Landslide Assessment. Laser Scanning Applications in Landslide Assessment
133
150
.
Miao Zhang, Xuelian Cao, Ling Peng & Ruiqing Niu. (2016) Landslide susceptibility mapping based on global and local logistic regression models in Three Gorges Reservoir area, China. Environmental Earth Sciences 75:11.
Crossref
Crossref
Xianyu Yu, Yi Wang, Ruiqing Niu & Youjian Hu. (2016) A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China. International Journal of Environmental Research and Public Health 13:5, pages 487.
Crossref
Crossref
Christos Chalkias, Christos Polykretis, Maria Ferentinou & Efthimios Karymbalis. (2016) Integrating Expert Knowledge with Statistical Analysis for Landslide Susceptibility Assessment at Regional Scale. Geosciences 6:1, pages 14.
Crossref
Crossref