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Open Access

Peer-reviewed

Research Article

Building geochemically based quantitative analogies from soil classification systems using different compositional datasets

Mark A. Chappell ,

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft, Writing – review & editing

* E-mail: mark.a.chappell@usace.army.mil

Affiliation Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America

http://orcid.org/0000-0003-4989-6533

⨯
Jennifer M. Seiter,

Roles Conceptualization, Funding acquisition

Affiliation Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America
⨯
Haley M. West,

Roles Investigation

Affiliation Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America
⨯
Brian D. Durham,

Roles Investigation

Affiliation Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America
⨯
Beth E. Porter,

Roles Investigation

Affiliation Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America
⨯
Cynthia L. Price

Roles Investigation, Supervision

Affiliation Environmental Laboratory, U.S. Army Engineer Research & Development Center, Vicksburg, Mississippi, United States of America
⨯

Building geochemically based quantitative analogies from soil classification systems using different compositional datasets

Mark A. Chappell,
Jennifer M. Seiter,
Haley M. West,
Brian D. Durham,
Beth E. Porter,
Cynthia L. Price

x

Published: February 19, 2019
https://doi.org/10.1371/journal.pone.0212214

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Taxonomy
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Agricultural soil science
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Contaminants
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Soil chemistry
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Biogeochemistry
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Linear discriminant analysis
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