The use of multivariate PCA dataset in identifying the underlying drivers of critical stressors, looking at global problems through a local lens

Palynology-based multivariate datasets including geological, ecological, and geochemical data identified the relative importance of the underlying drivers of critical stressors to coastal wetlands by identifying and distinguishing between fluvial flooding, saline water intrusion, delta switching, an...

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Detalles Bibliográficos
Autores principales: Ryu, Junghyung, Liu, Kam-biu, McCloskey, Terrence A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867045/
https://www.ncbi.nlm.nih.gov/pubmed/35242928
http://dx.doi.org/10.1016/j.dib.2022.107946

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867045/
https://www.ncbi.nlm.nih.gov/pubmed/35242928
http://dx.doi.org/10.1016/j.dib.2022.107946

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