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GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey)
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Landslide hazard assessment in the Three Gorges area of the Yangtze River using ASTER imagery
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Scale Coupling Enables More Detailed Mapping of Landslide Susceptibility
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Integration of Physics‐Based and Data‐Driven Approaches for Landslide Susceptibility Assessment
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Application of Chebyshev theorem to data preparation in landslide susceptibility mapping studies: an example from Yenice (Karabük, Turkey) region
inferred← citeshttps://doi.org/10.1007/s11629-016-4126-9openalex-snapshot
Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China
inferred← citeshttps://doi.org/10.1007/s11629-016-4142-9openalex-snapshot
Effect of rainfall on a colluvial landslide in a debris flow valley
inferred← citeshttps://doi.org/10.1007/s11629-018-5337-zopenalex-snapshot
GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine
inferred← citeshttps://doi.org/10.1007/s11629-019-5839-3openalex-snapshot
Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models
inferred← citeshttps://doi.org/10.1007/s11629-022-7326-5openalex-snapshot
Evaluation of deep learning algorithms for landslide susceptibility mapping in an alpine-gorge area: a case study in Jiuzhaigou County
inferred← citeshttps://doi.org/10.1007/s11629-022-7657-2openalex-snapshot
Landslide susceptibility mapping of mountain roads based on machine learning combined model
inferred← citeshttps://doi.org/10.1007/s11629-024-8869-4openalex-snapshot
Spatial distribution characteristics of climate-induced landslides in the Eastern Himalayas
inferred← citeshttps://doi.org/10.1007/s11676-018-0855-7openalex-snapshot
A reconstruction of Turkey’s potential natural vegetation using climate indicators
inferred← citeshttps://doi.org/10.1007/s11707-014-0474-3openalex-snapshot
Identification of landslide spatial distribution and susceptibility assessment in relation to topography in the Xi’an Region, Shaanxi Province, China
inferred← citeshttps://doi.org/10.1007/s11852-015-0416-6openalex-snapshot
Recent channel changes of the Jiangsu reach of the Yangtze river: an investigation from multi-temporal digital elevation models
inferred← citeshttps://doi.org/10.1007/s11852-017-0541-5openalex-snapshot
Erratum to: Recent channel changes of the Jiangsu reach of the Yangtze river: an investigation from multi-temporal digital elevation models
inferred← citeshttps://doi.org/10.1007/s12011-011-9179-6openalex-snapshot
Heavy Metal Contamination in the Water-Level Fluctuating Zone of the Yangtze River within Wanzhou Section, China
inferred← citeshttps://doi.org/10.1007/s12040-016-0686-xopenalex-snapshot
A comparative study on the landslide susceptibility mapping using evidential belief function and weights of evidence models
inferred← citeshttps://doi.org/10.1007/s12040-016-0741-7openalex-snapshot
Assessment and mapping of slope stability based on slope units: A case study in Yan’an, China
inferred← citeshttps://doi.org/10.1007/s12040-024-02453-6openalex-snapshot
Comparative study of decision tree and its advance ensemble techniques for landslide susceptibility map
inferred← citeshttps://doi.org/10.1007/s12040-026-02773-9openalex-snapshot
Enhancing accuracy and reliability of landslide susceptibility maps through machine learning with non-landslide sampling strategies
inferred← citeshttps://doi.org/10.1007/s12040-026-02854-9openalex-snapshot
Improved landslide susceptibility mapping framework using explainable machine learning and statistically consistent datasets: a case study for a National Highway in Himachal Pradesh, India
inferred← citeshttps://doi.org/10.1007/s12145-015-0219-1openalex-snapshot
Assessing soil erosion hazard -a raster based GIS approach with spatial principal component analysis (SPCA)
inferred← citeshttps://doi.org/10.1007/s12145-024-01455-8openalex-snapshot
Exploring advanced machine learning techniques for landslide susceptibility mapping in Yanchuan County, China
inferred← citeshttps://doi.org/10.1007/s12303-015-0026-1openalex-snapshot
A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network
inferred← citeshttps://doi.org/10.1007/s12303-018-0038-8openalex-snapshot
Comparison of landslide susceptibility maps using random forest and multivariate adaptive regression spline models in combination with catchment map units
inferred← citeshttps://doi.org/10.1007/s12517-013-0939-9openalex-snapshot
Analysis of the relationship of landslide occurrence with rainfall: a case study of Wudu County, China
inferred← citeshttps://doi.org/10.1007/s12517-015-2142-7openalex-snapshot
Landslide susceptibility mapping by geographical information system-based multivariate statistical and deterministic models: in an artificial reservoir area at Northern Turkey
inferred← citeshttps://doi.org/10.1007/s12517-015-2222-8openalex-snapshot
Landslide hazard mapping in the Constantine city, Northeast Algeria using frequency ratio, weighting factor, logistic regression, weights of evidence, and analytical hierarchy process methods
inferred← citeshttps://doi.org/10.1007/s12517-017-3002-4openalex-snapshot
A novel genetic algorithm for optimization of conditioning factors in shallow translational landslides and susceptibility mapping
inferred← citeshttps://doi.org/10.1007/s12517-017-3026-9openalex-snapshot
Spatial distribution analysis and susceptibility mapping of landslides triggered before and after Mw7.8 Gorkha earthquake along Upper Bhote Koshi, Nepal
inferred← citeshttps://doi.org/10.1007/s12517-017-3202-yopenalex-snapshot
The performance evaluation of information value, density area, LNRF, and frequency ratio methods for landslide zonation at Miandarband area, Kermanshah Province, Iran
inferred← citeshttps://doi.org/10.1007/s12517-018-3770-5openalex-snapshot
GIS-based landslide susceptibility assessment using statistical models: a case study from Souk Ahras province, N-E Algeria
inferred← citeshttps://doi.org/10.1007/s12517-019-4236-0openalex-snapshot
Hazard zoning for spatial planning using GIS-based landslide susceptibility assessment: a new hybrid integrated data-driven and knowledge-based model
inferred← citeshttps://doi.org/10.1007/s12517-021-08092-1openalex-snapshot
Comparisons of several methods for landslide susceptibility mapping: case of the Benzilan and Waka Towns, Southwest China
inferred← citeshttps://doi.org/10.1007/s12517-021-09314-2openalex-snapshot
Landslide susceptibility zoning in surface coal mining areas: a case study Elga field in Russia
inferred← citeshttps://doi.org/10.1007/s12517-022-09959-7openalex-snapshot
Landslides in Mila town (northeast Algeria): causes and consequences
inferred← citeshttps://doi.org/10.1007/s12517-022-10865-1openalex-snapshot
Comparative analysis and landslide susceptibility mapping of Hunza and Nagar Districts, Pakistan
inferred← citeshttps://doi.org/10.1007/s12517-023-11704-7openalex-snapshot
Landslide hazard mapping using temporal probability analysis of rainfall thresholds in the city of Azazga and surrounding areas, northern Algeria
inferred← citeshttps://doi.org/10.1007/s12518-020-00344-1openalex-snapshot
Application of various strategies and methodologies for landslide susceptibility maps on a basin scale: the case study of Val Tartano, Italy
inferred← citeshttps://doi.org/10.1007/s12524-018-0800-4openalex-snapshot
Effects of Landslide Sampling Strategies on the Prediction Skill of Landslide Susceptibility Modelings
inferred← citeshttps://doi.org/10.1007/s12583-024-0024-1openalex-snapshot
Insights into Reservoir-Triggered Landslides Development and Its Influence Factors in the Three Gorges Reservoir Area, China
inferred← citeshttps://doi.org/10.1007/s12594-013-0190-8openalex-snapshot
Pre-conditioning Factors and Susceptibility Assessments of Wenchuan Earthquake Landslide at the Zhouqu Segment of Bailongjiang Basin, China
inferred← citeshttps://doi.org/10.1007/s12594-018-0862-5openalex-snapshot
A Novel Classifier Based on Composite Hyper-cubes on Iterated Random Projections for Assessment of Landslide Susceptibility
inferred← citeshttps://doi.org/10.1007/s12594-023-2346-5openalex-snapshot
Landslide Susceptibility Zonation along National Highway 1D from Sonamarg to Kargil, North Western Himalaya
inferred← citeshttps://doi.org/10.1007/s12665-010-0509-3openalex-snapshot
GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China
inferred← citeshttps://doi.org/10.1007/s12665-010-0579-2openalex-snapshot
Landslide susceptibility mapping on Panaon Island, Philippines using a geographic information system
inferred← citeshttps://doi.org/10.1007/s12665-010-0864-0openalex-snapshot
Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea
inferred← citeshttps://doi.org/10.1007/s12665-011-0912-4openalex-snapshot
Application of logistic regression and fuzzy operators to landslide susceptibility assessment in Azdavay (Kastamonu, Turkey)
inferred← citeshttps://doi.org/10.1007/s12665-011-1196-4openalex-snapshot
GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey)
inferred← citeshttps://doi.org/10.1007/s12665-011-1477-yopenalex-snapshot
Ensemble-based landslide susceptibility maps in Jinbu area, Korea
inferred← citeshttps://doi.org/10.1007/s12665-012-2151-8openalex-snapshot
Landslide susceptibility mapping using LiDAR and DMC data: a case study in the Three Gorges area, China
inferred← citeshttps://doi.org/10.1007/s12665-013-2217-2openalex-snapshot
Landslide susceptibility mapping using rough sets and back-propagation neural networks in the Three Gorges, China
inferred← citeshttps://doi.org/10.1007/s12665-013-2385-0openalex-snapshot
Landslide detection and susceptibility mapping in the Sagimakri area, Korea using KOMPSAT-1 and weight of evidence technique
inferred← citeshttps://doi.org/10.1007/s12665-013-2475-zopenalex-snapshot
Susceptibility assessments of the Wenchuan earthquake-triggered landslides in Longnan using logistic regression
inferred← citeshttps://doi.org/10.1007/s12665-015-4028-0openalex-snapshot
Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran
inferred← citeshttps://doi.org/10.1007/s12665-015-4569-2openalex-snapshot
Spatial relationships between landslide occurrences and land cover across the Arno river basin (Italy)
inferred← citeshttps://doi.org/10.1007/s12665-015-4866-9openalex-snapshot
Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines
inferred← citeshttps://doi.org/10.1007/s12665-015-5047-6openalex-snapshot
Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy)
inferred← citeshttps://doi.org/10.1007/s12665-015-5093-0openalex-snapshot
Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China
inferred← citeshttps://doi.org/10.1007/s12665-016-5317-yopenalex-snapshot
A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS
inferred← citeshttps://doi.org/10.1007/s12665-016-5428-5openalex-snapshot
Spatial distribution and susceptibility zoning of geohazards along the Silk Road, Xian-Lanzhou
inferred← citeshttps://doi.org/10.1007/s12665-016-5605-6openalex-snapshot
Responses of landscape metrics to altering grain size in the Three Gorges Reservoir landscape in China
inferred← citeshttps://doi.org/10.1007/s12665-016-5764-5openalex-snapshot
Landslide susceptibility mapping based on global and local logistic regression models in Three Gorges Reservoir area, China
inferred← citeshttps://doi.org/10.1007/s12665-017-6475-2openalex-snapshot
Comparing data-driven landslide susceptibility models based on participatory landslide inventory mapping in Purwosari area, Yogyakarta, Java
inferred← citeshttps://doi.org/10.1007/s12665-017-6640-7openalex-snapshot
A comparative study of landslide susceptibility mapping using weight of evidence, logistic regression and support vector machine and evaluated by SBAS-InSAR monitoring: Zhouqu to Wudu segment in Bailong River Basin, China
inferred← citeshttps://doi.org/10.1007/s12665-021-09650-2openalex-snapshot
Landslide susceptibility mapping with GIS in high mountain area of Nepal: a comparison of four methods
inferred← citeshttps://doi.org/10.1007/s12665-021-09663-xopenalex-snapshot
A comparative study on the predictive ability of archived and SBAS-InSAR inventories for landslide susceptibility using frequency ratio model in Western Area, Sierra Leone
inferred← citeshttps://doi.org/10.1007/s12665-022-10233-yopenalex-snapshot
Landslide susceptibility mapping: improvements in variable weights estimation through machine learning algorithms—a case study of upper Indus River Basin, Pakistan
inferred← citeshttps://doi.org/10.1007/s12665-023-10844-zopenalex-snapshot
Exploring performance and robustness of shallow landslide susceptibility modeling at regional scale using different training and testing sets
inferred← citeshttps://doi.org/10.1007/s12665-023-11250-1openalex-snapshot
Comparison of different statistical approaches to assess spring potential mapping in a multi-aquifer system: a case study of Kurdistan Region, Iraq
inferred← citeshttps://doi.org/10.1007/s12665-024-11533-1openalex-snapshot
Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models
inferred← citeshttps://doi.org/10.1007/s12665-024-11871-0openalex-snapshot
Mapping urban flood susceptibility in Ouagadougou, Burkina Faso
inferred← citeshttps://doi.org/10.1007/s13201-024-02131-4openalex-snapshot
Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning
inferred← citeshttps://doi.org/10.1007/s13369-016-2046-1openalex-snapshot
Slope Failure Characteristics and Slope Movement Susceptibility Assessment Using GIS in a Medium Scale: A Case Study from Ouled Driss and Machroha Municipalities, Northeast Algeria
inferred← citeshttps://doi.org/10.1007/s13753-014-0020-7openalex-snapshot
Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards
inferred← citeshttps://doi.org/10.1007/s13762-024-06310-3openalex-snapshot
A new random forest method for landslide susceptibility mapping using hyperparameter optimization and grid search techniques
inferred← citeshttps://doi.org/10.1007/s40710-017-0248-5openalex-snapshot
Application and Comparison of Decision Tree-Based Machine Learning Methods in Landside Susceptibility Assessment at Pauri Garhwal Area, Uttarakhand, India
inferred← citeshttps://doi.org/10.1007/s40808-018-0426-0openalex-snapshot
Modeling and mapping landslide susceptibility zones using GIS based multivariate binary logistic regression (LR) model in the Rorachu river basin of eastern Sikkim Himalaya, India
inferred← citeshttps://doi.org/10.1007/s40808-022-01549-6openalex-snapshot
Integration and comparison of algorithmic weight of evidence and logistic regression in landslide susceptibility mapping of the Orumba North erosion-prone region, Nigeria
inferred← citeshttps://doi.org/10.1007/s40808-022-01681-3openalex-snapshot
Modeling soil erosion susceptibility using GIS-based different machine learning algorithms in monsoon dominated diversified landscape in India
inferred← citeshttps://doi.org/10.1007/s40808-023-01888-yopenalex-snapshot
Landslide spatial prediction utilizing fuzzy unordered rules induction ensemble models: a case study in Thai Nguyen, Vietnam
inferred← citeshttps://doi.org/10.1007/s40821-019-00137-6openalex-snapshot
Factors influencing SME owners’ continuance intention in Bangladesh: a logistic regression model
inferred← citeshttps://doi.org/10.1007/s41062-019-0245-9openalex-snapshot
Landslide susceptibility mapping along national highway-1 in Jammu and Kashmir State (India)
inferred← citeshttps://doi.org/10.1007/s42452-019-1499-8openalex-snapshot
Application of logistic regression (LR) and frequency ratio (FR) models for landslide susceptibility mapping in Relli Khola river basin of Darjeeling Himalaya, India
inferred← citeshttps://doi.org/10.1007/s42488-023-00094-wopenalex-snapshot
Epidemiological Study of Cardiopathies and Valvulopathies using Binary Logistic Regression
inferred← citeshttps://doi.org/10.1016/b978-0-12-815226-3.00011-9openalex-snapshot
Landslide Susceptibility Survey Using Modeling Methods
inferred← citeshttps://doi.org/10.1016/b978-0-323-89861-4.00042-7openalex-snapshot
Comparison of the frequency ratio, index of entropy, and artificial neural networks methods for landslide susceptibility mapping: A case study in Pınarbaşı/Kastamonu (North of Turkey)
inferred← citeshttps://doi.org/10.1016/b978-0-44-333376-7.00036-7openalex-snapshot
Landform-element recognition through machine learning and computer vision
inferred← citeshttps://doi.org/10.1016/b978-0-44-333376-7.00044-6openalex-snapshot
Full list of references
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Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India
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Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China
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Assessing classification system for landslide susceptibility using frequency ratio, analytical hierarchical process and geospatial technology mapping in Aizawl district, NE India
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Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area
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Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China
inferred← citeshttps://doi.org/10.1016/j.cageo.2021.104899openalex-snapshot
Landslide susceptibility assessment using weights-of-evidence model and cluster analysis along the highways in the Hubei section of the Three Gorges Reservoir Area
inferred← citeshttps://doi.org/10.1016/j.cageo.2021.104966openalex-snapshot
Combining a class-weighted algorithm and machine learning models in landslide susceptibility mapping: A case study of Wanzhou section of the Three Gorges Reservoir, China
inferred← citeshttps://doi.org/10.1016/j.cageo.2024.105723openalex-snapshot
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis
inferred← citeshttps://doi.org/10.1016/j.catena.2012.05.005openalex-snapshot
Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
inferred← citeshttps://doi.org/10.1016/j.catena.2012.06.012openalex-snapshot
Combined landslide susceptibility mapping after Wenchuan earthquake at the Zhouqu segment in the Bailongjiang Basin, China
inferred← citeshttps://doi.org/10.1016/j.catena.2012.07.014openalex-snapshot
Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea
inferred← citeshttps://doi.org/10.1016/j.catena.2013.08.006openalex-snapshot
Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy)
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