Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Spatial Benchmarking of Four Spatially Explicit Models for Groundwater Potential Mapping in Cheongju, South Korea. Local targets link to admitted publications; unresolved targets remain external evidence.
Identification of the groundwater potential recharge zones using MCDM models: full consistency method (FUCOM), best worst method (BWM) and analytic hierarchy process (AHP)
10.1007/s11269-021-02924-1 · 2021 · External reference
Groundwater potential mapping: a misused and dubious concept
10.1111/gwat.70013 · 2025 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
10.1145/2939672.2939785
10.1145/2939672.2939785 · 2016 · External reference
Characterisation of groundwater drought using distributed modelling, standardised indices, and principal component analysis
10.1007/s11269-024-03997-4 · 2025 · External reference
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
10.2307/2531595 · 1988 · External reference
Geographical random forests: a spatial extension of the random forest algorithm
10.1080/10106049.2019.1595177 · 2021 · External reference
Groundwater potential map data of Cheongju area using probabilistic methods
10.22761/gd.2025.0013 · 2025 · External reference
A unified approach to interpreting model predictions
2017 · External reference
From local explanations to global understanding with explainable artificial intelligence for trees
10.1038/s42256-019-0138-9 · 2020 · External reference
How much X is in XAI: responsible use of explainable artificial intelligence in hydrology and water resources
10.1016/j.hydroa.2024.100185 · 2024 · External reference
Unresolved reference
2006 · External reference
Ensemble boosting and bagging based machine learning models for groundwater potential prediction
10.1007/s11269-020-02704-3 · 2021 · External reference
Integrating metaheuristic optimization with stochastic gradient boosting for groundwater potential prediction in data-scarce arid environments
10.1007/s11269-026-04788-9 · 2026 · External reference
Unresolved reference
2006 · External reference
Sustainable groundwater management through collaborative local scale monitoring
10.1007/s11269-024-03986-7 · 2025 · External reference
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
10.1111/ecog.02881 · 2017 · External reference
Global sensitivity analysis of a coupled hydro-economic model and groundwater restriction assessment
10.1007/s11269-022-03344-5 · 2022 · External reference
Improving the accuracy of groundwater level forecasting by coupling ensemble machine learning model and coronavirus herd immunity optimizer
10.1007/s11269-025-04210-w · 2025 · External reference
Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data
10.1016/j.ecolmodel.2019.06.002 · 2019 · External reference
Machine learning for groundwater quality classification: a step towards economic and sustainable groundwater quality assessment process
10.1007/s11269-023-03690-y · 2024 · External reference
Explainable artificial intelligence in hydrology: a review
10.1007/s11269-025-04435-9 · 2026 · External reference
