Learning Principal Component Analysis by Using Data from Air Quality Networks

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dc.contributor.authorPérez Arribas, Luis Vicente
dc.contributor.authorLeón González, María Eugenia
dc.contributor.authorRosales Conrado, Noelia
dc.date.accessioned2023-06-17T21:51:20Z
dc.date.available2023-06-17T21:51:20Z
dc.date.issued2017-01
dc.description.abstractWith the final objective of using computational and chemometrics tools in the chemistry studies, this paper shows the methodology and interpretation of the Principal Component Analysis (PCA) using pollution data from different cities. This paper describes how students can obtain data on air quality and process such data for additional information related to the pollution sources, climate effects, and social aspects over pollution levels by using a powerful chemometrics tool such as principal component analysis (PCA). The paper could also be useful for students interested in environmental chemistry and pollution interpretation; this statistical method is a simple way to display visually as much as possible of the total variation of the data in a few dimensions, and it is an excellent tool for looking into the normal pollution patterns.
dc.description.departmentDepto. de Química Analítica
dc.description.facultyFac. de Ciencias Químicas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/41572
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dc.identifier.doi10.1021/acs.jchemed.6b00550
dc.identifier.issn0021-9584
dc.identifier.officialurlhttps://doi.org/10.1021/acs.jchemed.6b00550
dc.identifier.urihttps://hdl.handle.net/20.500.14352/17658
dc.journal.titleJournal of Chemical Education
dc.language.isoeng
dc.publisherACS
dc.rights.accessRightsrestricted access
dc.subject.cdu543
dc.subject.keywordGraduate Education/Research
dc.subject.keywordUpper-Division Undergraduate
dc.subject.keywordEnvironmental Chemistry
dc.subject.keywordComputer-Based Learning
dc.subject.keywordChemometrics
dc.subject.ucmQuímica analítica (Química)
dc.subject.unesco2301 Química Analítica
dc.titleLearning Principal Component Analysis by Using Data from Air Quality Networks
dc.typejournal article
dspace.entity.typePublication
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relation.isAuthorOfPublicatione5625011-ba32-4a14-9ba0-c9305cb5d68e
relation.isAuthorOfPublication.latestForDiscovery1b7147e2-6cc3-4195-be34-30a445560b37
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