Similarities and differences in waste composition over time and space determined by multivariate distance analyses

David J. Tonjes; Yiyi Wang; Firman Firmansyah; Sameena Manzur; Matthew Johnston; Griffin Walker; Krista L. Thyberg; Elizabeth Hewitt

doi:10.1371/journal.pone.0308367

Loading metrics

Open Access

Peer-reviewed

Research Article

Similarities and differences in waste composition over time and space determined by multivariate distance analyses

David J. Tonjes ,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft

* E-mail: david.tonjes@stonybrook.edu

Affiliation Waste Data and Analysis Center, Department of Technology & Society, Stony Brook University, Stony Brook, New York, United States of America

https://orcid.org/0000-0003-0108-5977

⨯
Yiyi Wang,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization

Affiliation Waste Data and Analysis Center, Department of Technology & Society, Stony Brook University, Stony Brook, New York, United States of America
⨯
Firman Firmansyah,

Roles Data curation, Formal analysis, Methodology, Resources, Visualization

Affiliation Waste Data and Analysis Center, Department of Technology & Society, Stony Brook University, Stony Brook, New York, United States of America
⨯
Sameena Manzur,

Roles Formal analysis

Affiliation Waste Data and Analysis Center, Department of Technology & Society, Stony Brook University, Stony Brook, New York, United States of America
⨯
Matthew Johnston,

Roles Data curation

Current address: Middlesex County Utilities Authority, Sayreville, New Jersey, United States of America

Affiliation Waste Data and Analysis Center, Department of Technology & Society, Stony Brook University, Stony Brook, New York, United States of America
⨯
Griffin Walker,

Roles Formal analysis

Affiliation Waste Data and Analysis Center, Department of Technology & Society, Stony Brook University, Stony Brook, New York, United States of America
⨯
Krista L. Thyberg,

Roles Project administration, Writing – review & editing

Affiliation Waste Data and Analysis Center, Department of Technology & Society, Stony Brook University, Stony Brook, New York, United States of America

https://orcid.org/0000-0003-0315-7655

⨯
Elizabeth Hewitt

Roles Funding acquisition, Project administration, Writing – review & editing

Affiliation Waste Data and Analysis Center, Department of Technology & Society, Stony Brook University, Stony Brook, New York, United States of America
⨯

Similarities and differences in waste composition over time and space determined by multivariate distance analyses

David J. Tonjes,
Yiyi Wang,
Firman Firmansyah,
Sameena Manzur,
Matthew Johnston,
Griffin Walker,
Krista L. Thyberg,
Elizabeth Hewitt

Published: January 15, 2025
https://doi.org/10.1371/journal.pone.0308367

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Plastics
Is the Subject Area "Plastics" applicable to this article?

Thanks for your feedback.
Islands
Is the Subject Area "Islands" applicable to this article?

Thanks for your feedback.
Food
Is the Subject Area "Food" applicable to this article?

Thanks for your feedback.
Distance measurement
Is the Subject Area "Distance measurement" applicable to this article?

Thanks for your feedback.
New York
Is the Subject Area "New York" applicable to this article?

Thanks for your feedback.
California
Is the Subject Area "California" applicable to this article?

Thanks for your feedback.
Principal component analysis
Is the Subject Area "Principal component analysis" applicable to this article?

Thanks for your feedback.
Multivariate analysis
Is the Subject Area "Multivariate analysis" applicable to this article?

Thanks for your feedback.