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Articles

An evaluation of landslide susceptibility using probability statistic modeling and GIS's spatial clustering analysis

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Pages 1952-1968 | Received 23 Oct 2017, Accepted 29 Jan 2018, Published online: 20 Feb 2018

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Read on this site (2)

Tengfei Gu, Jia Li, Mingguo Wang & Ping Duan. (2022) Landslide susceptibility assessment in Zhenxiong County of China based on geographically weighted logistic regression model. Geocarto International 37:17, pages 4952-4973.
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Ghazaleh Mohebbi Tafreshi, Mohammad Nakhaei & Razyeh Lak. (2022) Subsidence risk assessment based on a novel hybrid form of a tree-based machine learning algorithm and an index model of vulnerability. Geocarto International 37:10, pages 2842-2870.
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Articles from other publishers (8)

Wancai He, Guoping Chen, Junsan Zhao, Yilin Lin, Bingui Qin, Wanlu Yao & Qing Cao. (2023) Landslide Susceptibility Evaluation of Machine Learning Based on Information Volume and Frequency Ratio: A Case Study of Weixin County, China. Sensors 23:5, pages 2549.
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Christos Polykretis. 2023. Geoinformatics for Geosciences. Geoinformatics for Geosciences 281 308 .
Yonghua Wang, Yanfang Li, Bing Zhang & Pengxiang Xing. (2022) Dimensionality Reduction and Extraction of Engineering Remote Sensing Data Based on Building Information Modeling and Geographical Information System. Scientific Programming 2022, pages 1-8.
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Athanasios V. Argyriou, Christos Polykretis, Richard M. Teeuw & Nikos Papadopoulos. (2022) Geoinformatic Analysis of Rainfall-Triggered Landslides in Crete (Greece) Based on Spatial Detection and Hazard Mapping. Sustainability 14:7, pages 3956.
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Yuyan Yan, Qingwei Zhuang, Chanjuan Zan, Juan Ren, Liao Yang, Yan Wen, Shuai Zeng, Qun Zhang & Lu Kong. (2021) Using the Google Earth Engine to rapidly monitor impacts of geohazards on ecological quality in highly susceptible areas. Ecological Indicators 132, pages 108258.
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Yiming Mao, Deborah Simon Mwakapesa, Kaibin Xu, Chen Lei, Youcun Liu & Maosheng Zhang. (2021) Comparison of wave-cluster and DBSCAN algorithms for landslide susceptibility assessment. Environmental Earth Sciences 80:22.
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Yimin Mao, Deborah S. Mwakapesa, Genglong Wang, Y.A. Nanehkaran & Maosheng Zhang. (2021) Landslide susceptibility modelling based on AHC-OLID clustering algorithm. Advances in Space Research 68:1, pages 301-316.
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Roberta Plangg Riegel, Darlan Daniel Alves, Bruna Caroline Schmidt, Guilherme Garcia de Oliveira, Claus Haetinger, Daniela Montanari Migliavacca Osório, Marco Antônio Siqueira Rodrigues & Daniela Muller de Quevedo. (2020) Assessment of susceptibility to landslides through geographic information systems and the logistic regression model. Natural Hazards 103:1, pages 497-511.
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