A synthesis framework using machine learning and spatial bivariate analysis to identify drivers and hotspots of heavy metal pollution of agricultural soils
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Title
A synthesis framework using machine learning and spatial bivariate analysis to identify drivers and hotspots of heavy metal pollution of agricultural soils
Authors
Keywords
Heavy metal pollution, Source-sink theory, Random forest model, Spatial bivariate cluster, Soil pollution control
Journal
ENVIRONMENTAL POLLUTION
Volume 287, Issue -, Pages 117611
Publisher
Elsevier BV
Online
2021-06-17
DOI
10.1016/j.envpol.2021.117611
References
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