Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms
出版年份 2018 全文链接
标题
Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms
作者
关键词
-
出版物
Sustainability
Volume 10, Issue 10, Pages 3697
出版商
MDPI AG
发表日期
2018-10-16
DOI
10.3390/su10103697
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Prediction of the landslide susceptibility: Which algorithm, which precision?
- (2018) Hamid Reza Pourghasemi et al. CATENA
- Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms
- (2018) Seyed Vahid Razavi Termeh et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
- (2018) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping
- (2018) Omid Ghorbanzadeh et al. Journal of Spatial Science
- A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping
- (2018) Omid Ghorbanzadeh et al. NATURAL HAZARDS
- Development of a landslide component for a sediment budget model
- (2017) Harley Betts et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling
- (2017) Hamid Reza Pourghasemi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)
- (2017) Bahareh Kalantar et al. Geomatics Natural Hazards & Risk
- A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea
- (2017) Saro Lee et al. Sustainability
- GIS-based landslide spatial modeling in Ganzhou City, China
- (2016) Haoyuan Hong et al. Arabian Journal of Geosciences
- Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
- (2016) Paraskevas Tsangaratos et al. CATENA
- Landslide distribution and size in response to Quaternary fault activity: the Peloritani Range, NE Sicily, Italy
- (2016) Francesco Bucci et al. EARTH SURFACE PROCESSES AND LANDFORMS
- Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method
- (2016) Majid Shadman Roodposhti et al. Entropy
- Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran
- (2016) Hamid Reza Pourghasemi et al. Environmental Earth Sciences
- Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping
- (2016) E. Arnone et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Identifying the controls on coastal cliff landslides using machine-learning approaches
- (2016) Mark E. Dickson et al. ENVIRONMENTAL MODELLING & SOFTWARE
- A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
- (2016) Binh Thai Pham et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison
- (2016) Omid Rahmati et al. NATURAL HAZARDS
- The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea
- (2016) Lee Saro et al. Open Geosciences
- Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
- (2015) J.N. Goetz et al. COMPUTERS & GEOSCIENCES
- The role of the lithological setting on the landslide pattern and distribution
- (2015) Cristina Henriques et al. ENGINEERING GEOLOGY
- GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
- (2015) Seyed Amir Naghibi et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)
- (2015) Alessandro Trigila et al. GEOMORPHOLOGY
- Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
- (2015) Dieu Tien Bui et al. Landslides
- Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece
- (2015) Nerantzis Kazakis et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Analysing coastal ocean model outputs using competitive-learning pattern recognition techniques
- (2014) Raymond N. Williams et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Assessment of forest road conditions in terms of landslide susceptibility: a case study in Yığılca Forest Directorate (Turkey)
- (2014) Remzi EKER et al. Turkish Journal of Agriculture and Forestry
- Sub pixel mapping of alteration minerals using SOM neural network model and hyperion data
- (2014) Mohammad H. Tayebi et al. Earth Science Informatics
- Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
- (2013) Mohammad Zare et al. Arabian Journal of Geosciences
- GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)
- (2013) H. R. Pourghasemi et al. Arabian Journal of Geosciences
- Evaluation and comparison of GIS based landslide susceptibility mapping procedures in Kulekhani watershed, Nepal
- (2013) Prabin Kayastha et al. JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
- (2013) Taskin Kavzoglu et al. Landslides
- Susceptibility evaluation and mapping of China’s landslides based on multi-source data
- (2013) Chun Liu et al. NATURAL HAZARDS
- Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances
- (2013) H. R. Pourghasemi et al. NATURAL HAZARDS
- A comparative evaluation of heuristic and bivariate statistical modelling for landslide susceptibility mappings in Ghurmi–Dhad Khola, east Nepal
- (2012) Subeg Man Bijukchhen et al. Arabian Journal of Geosciences
- Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
- (2012) Hamid Reza Pourghasemi et al. CATENA
- A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
- (2012) Biswajeet Pradhan COMPUTERS & GEOSCIENCES
- How can statistical models help to determine driving factors of landslides?
- (2012) Peter Vorpahl et al. ECOLOGICAL MODELLING
- Spatial disaggregation of complex soil map units: A decision-tree based approach in Bavarian forest soils
- (2012) Tim Häring et al. GEODERMA
- Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
- (2012) Dieu Tien Bui et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey)
- (2012) Gökçe Deniz Hasekioğulları et al. NATURAL HAZARDS
- Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya
- (2012) Krishna Chandra Devkota et al. NATURAL HAZARDS
- A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS
- (2012) HamidReza Pourghasemi et al. Geomatics Natural Hazards & Risk
- Assessing landslide vulnerability from soil characteristics—a GIS-based analysis
- (2011) L. P. Sharma et al. Arabian Journal of Geosciences
- Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area
- (2011) Hyun-Joo Oh et al. COMPUTERS & GEOSCIENCES
- Landslide hazard and risk analyses at a landslide prone catchment area using statistical based geospatial model
- (2011) Biswajeet Pradhan et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A ‘non-parametric’ version of the naive Bayes classifier
- (2011) Daniele Soria et al. KNOWLEDGE-BASED SYSTEMS
- Everolimus plus octreotide long-acting repeatable for the treatment of advanced neuroendocrine tumours associated with carcinoid syndrome (RADIANT-2): a randomised, placebo-controlled, phase 3 study
- (2011) Marianne E Pavel et al. LANCET
- A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey
- (2011) Aykut Akgun Landslides
- Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia
- (2010) Ebru Akcapinar Sezer et al. EXPERT SYSTEMS WITH APPLICATIONS
- A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks
- (2009) Işık Yilmaz Bulletin of Engineering Geology and the Environment
- A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses
- (2009) A. Nandi et al. ENGINEERING GEOLOGY
- The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks
- (2009) Işık Yilmaz Environmental Earth Sciences
- Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
- (2009) Biswajeet Pradhan et al. ENVIRONMENTAL MODELLING & SOFTWARE
- A working guide to boosted regression trees
- (2008) J. Elith et al. JOURNAL OF ANIMAL ECOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now