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A Random Forest approach to predict the spatial distribution of sediment pollution in an estuarine system.
Walsh, Eric S; Kreakie, Betty J; Cantwell, Mark G; Nacci, Diane.
Affiliation
  • Walsh ES; U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Narragansett, Rhode Island, United States of America.
  • Kreakie BJ; U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Narragansett, Rhode Island, United States of America.
  • Cantwell MG; U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Narragansett, Rhode Island, United States of America.
  • Nacci D; U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Narragansett, Rhode Island, United States of America.
PLoS One ; 12(7): e0179473, 2017.
Article in En | MEDLINE | ID: mdl-28738089
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Geologic Sediments / Environmental Pollution Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Country/Region as subject: America do norte Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
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XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Geologic Sediments / Environmental Pollution Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Country/Region as subject: America do norte Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United States