Estimation of spatial distribution of heavy metals in soils of mining areas based on ensemble learning and multi-source environmental variables: Application of LGGWR model
Yuyang He, Ximei Cai, Suhang Dong, Shengli Wang, Chongbin Li, Fan He
Topics & Concepts
Boosting (machine learning)KrigingRandom forestEnvironmental scienceGradient boostingEnsemble learningSoil waterSpatial analysisEnsemble forecastingDecision treeEnvironmental remediationSpatial variabilitySupport vector machineMultivariate interpolationRegressionRegression analysisHeavy metalsSoil scienceSoil remediationSpatial distributionSoil testGeographic information systemHazardous wasteData miningLinear regressionSoil classificationNormalized Difference Vegetation IndexLagEnvironmental monitoringCadmiumGeostatisticsNonlinear regressionSoil contaminationHeavy metals in environmentGeochemistry and Geologic MappingSoil Geostatistics and Mapping