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Modeling Groundwater Potential Under Climate Change Scenarios in Eastern Rwanda Using the MaxEnt and RF Machine Learning Algorithms

https://doi.org/10.2139/ssrn.6446215
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Trends and variability of rainfall and related extreme indices with implications for climate sensitive planning in Kirehe district of the eastern province of Rwanda
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Role of groundwater systems in fulfilling sustainable development goals: A focus on SDG6 and SDG13
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Impact of land use/land cover changes on groundwater resources in Al Ain region of the United Arab Emirates using remote sensing and GIS techniques
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Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability
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GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches
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A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
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Comparison between optimized MaxEnt and random forest modeling in predicting potential distribution: A case study with Quasipaa boulengeri in China
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Random Forests
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Groundwater-dependent ecosystem map exposes global dryland protection needs
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An ensemble model for landslide susceptibility mapping in a forested area
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Delineation of groundwater potential zones by means of ensemble tree supervised classification methods in the Eastern Lake Chad basin
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Identification of groundwater potential zones using remote sensing, GIS, machine learning and electrical resistivity tomography techniques in Guelma basin, northeastern Algeria
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Developing a new method for future groundwater potentiality mapping under climate change in Bisha watershed, Saudi Arabia
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Mapping Groundwater Potential Through an Ensemble of Big Data Methods
inferredcites →https://doi.org/10.1111/j.0906-7590.2008.5203.xopenalex-snapshot
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
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The influence of spatial errors in species occurrence data used in distribution models
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Novel methods improve prediction of species’ distributions from occurrence data
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Potential impacts of climate change on groundwater levels in Golpayegan Plain, Iran
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Effect of Recharge and Abstraction on Groundwater Levels
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Integrated assessment of land use/land cover changes and hydrological impacts in the nile river basin: a case study of Rwanda hydro-unity network
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Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis
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Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
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Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin
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Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System
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A Modeling Comparison of Groundwater Potential Mapping in a Mountain Bedrock Aquifer: QUEST, GARP, and RF Models
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Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China
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A Machine Learning Application for the Development of Groundwater Vulnerability Studies
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Assessment of Groundwater Potential in a Mountainous Area Using Machine Learning and GIS, Rherhaya Basin, High Atlas, Morocco
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