Application of random forest regression and comparison of its performance to multiple linear regression in modeling groundwater nitrate concentration at the African continent scale

Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS

(2018) Ali Golkarian et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Impact of irrigated agriculture on groundwater-recharge salinity: a major sustainability concern in semi-arid regions

(2018) Stephen Foster et al.   HYDROGEOLOGY JOURNAL

Review: Groundwater resources and related environmental issues in China

(2018) Aibing Hao et al.   HYDROGEOLOGY JOURNAL

Water quality responses to the interaction between surface water and groundwater along the Songhua River, NE China

(2018) Yanguo Teng et al.   HYDROGEOLOGY JOURNAL

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

(2018) Farzaneh Sajedi-Hosseini et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms

(2018) Rahim Barzegar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Urban groundwater quality in sub-Saharan Africa: current status and implications for water security and public health

(2017) D. J. Lapworth et al.   HYDROGEOLOGY JOURNAL

A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA

(2017) Katherine M. Ransom et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

(2017) Seyed Amir Naghibi et al.   WATER RESOURCES MANAGEMENT

Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.

(2017) S. Sahoo et al.   WATER RESOURCES RESEARCH

Mapping the groundwater vulnerability for pollution at the pan African scale

(2016) Issoufou Ouedraogo et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Modelling nitrate pollution pressure using a multivariate statistical approach: the case of Kinshasa groundwater body, Democratic Republic of Congo

(2015) Antoine Mfumu Kihumba et al.   HYDROGEOLOGY JOURNAL

Evaluation of multiple regression models using spatial variables to predict nitrate concentrations in volcanic aquifers

(2015) Youn-Young Jung et al.   HYDROLOGICAL PROCESSES

A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA

(2015) Bernard T. Nolan et al.   JOURNAL OF HYDROLOGY

Modeling groundwater nitrate concentrations in private wells in Iowa

(2015) David C. Wheeler et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Using maximum entropy modeling for landslide susceptibility mapping with multiple geoenvironmental data sets

(2014) No-Wook Park   Environmental Earth Sciences

A glimpse beneath earth's surface: GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity

(2014) Tom Gleeson et al.   GEOPHYSICAL RESEARCH LETTERS

SoilGrids1km — Global Soil Information Based on Automated Mapping

(2014) Tomislav Hengl et al.   PLoS One

Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)

(2014) Victor Rodriguez-Galiano et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Nitrogen losses from the soil/plant system: a review

(2013) K.C. Cameron et al.   ANNALS OF APPLIED BIOLOGY

Probability-based nitrate contamination map of groundwater in Kinmen

(2013) Chen-Wuing Liu et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

The location of old groundwater in hydrogeologic basins and layered aquifer systems

(2013) Claire Gassiat et al.   GEOPHYSICAL RESEARCH LETTERS

Logistic regression modeling to assess groundwater vulnerability to contamination in Hawaii, USA

(2013) Alan Mair et al.   JOURNAL OF CONTAMINANT HYDROLOGY

Regression model for aquifer vulnerability assessment of nitrate pollution in the Osona region (NE Spain)

(2013) Mercè Boy-Roura et al.   JOURNAL OF HYDROLOGY

Vulnerability of Recently Recharged Groundwater in Principle Aquifers of the United States To Nitrate Contamination

(2012) Jason J. Gurdak et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest

(2012) Sandra Oliveira et al.   FOREST ECOLOGY AND MANAGEMENT

The new global lithological map database GLiM: A representation of rock properties at the Earth surface

(2012) Jens Hartmann et al.   GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS

Random Forests as a tool for estimating uncertainty at pixel-level in SAR image classification

(2012) Lien Loosvelt et al.   International Journal of Applied Earth Observation and Geoinformation

Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models

(2012) Victor F. Rodriguez-Galiano et al.   International Journal of Digital Earth

Groundwater nitrate contamination: Factors and indicators

(2012) Katharina Wick et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments

(2012) Axel Ritter et al.   JOURNAL OF HYDROLOGY

Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

(2012) V.F. Rodriguez-Galiano et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds

(2011) Steffen Oppel et al.   BIOLOGICAL CONSERVATION

Predictive modeling of microhabitats for endemic birds in South Chilean temperate forests using Maximum entropy (Maxent)

(2011) Roberto Moreno et al.   Ecological Informatics

Probability of Detecting Perchlorate under Natural Conditions in Deep Groundwater in California and the Southwestern United States

(2011) Miranda S. Fram et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Characterizing the Spatial Patterns of Global Fertilizer Application and Manure Production

(2010) Philip Potter et al.   Earth Interactions

Nitrate in Groundwater of the United States, 1991−2003

(2010) Karen R. Burow et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Nitrogen Contamination of Surficial Aquifers—A Growing Legacy†

(2010) Larry J. Puckett et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Multi-method assessment of nitrate and pesticide contamination in shallow alluvial groundwater as a function of hydrogeological setting and land use

(2009) A.I.A.S.S. Andrade et al.   AGRICULTURAL WATER MANAGEMENT

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Performance of several variable-selection methods applied to real ecological data

(2009) Paul A. Murtaugh   ECOLOGY LETTERS

Estimating travel time of recharge water through a deep vadose zone using a transfer function model

(2009) Samuel Mattern et al.   ENVIRONMENTAL FLUID MECHANICS

Simulated nitrogen leaching, nitrogen mass field balances and their correlation on four farms in south-western Finland during the period 2000 2005

(2008) K. RANKINEN et al.   AGRICULTURAL AND FOOD SCIENCE

Predictive modeling and mapping sage grouse (Centrocercus urophasianus) nesting habitat using Maximum Entropy and a long-term dataset from Southern Oregon

(2008) Andrew C. Yost et al.   Ecological Informatics

Spatial prediction of nitrate pollution in groundwaters using neural networks and GIS: an application to South Rhodope aquifer (Thrace, Greece)

(2008) A. Gemitzi et al.   HYDROLOGICAL PROCESSES

Building factorial regression models to explain and predict nitrate concentrations in groundwater under agricultural land

(2008) T.Y. Stigter et al.   JOURNAL OF HYDROLOGY

Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments

(2008) Steven E. Sesnie et al.   REMOTE SENSING OF ENVIRONMENT