Functional principal component analyses for study of particulate matter (pm10) in the city of Bogotá

(Eng) Bogotá city air pollution is a problem that has been increasing parallel to the growth of the city. The measurements of pollution in Bogotá require methodologies that allow its analysis; therefore, at the same time, that diagnoses are issued. Below is the functional principal component analysis to reporting material particulate matter PM10. As a result, an appropriate methodology for treating large amounts of data is developed because it summarizes functional statistics such as the average and the covariance obtaining a diagnostic of the behavior of the medic results.

• Autores: Ramírez, Miguel A.; Arias, Jánel; Santa, Luis F.
• Tipo de recurso: Article of journal
• Fecha de publicación: 2016
• Institución: Universidad del Valle
• Repositorio: Repositorio Digital Univalle
• Idioma: eng
• OAI Identifier: oai:bibliotecadigital.univalle.edu.co:10893/18336
• Acceso en línea: https://hdl.handle.net/10893/18336
• Palabra clave: Análisis de datos funcionales; Componentes principales funcionales; PM10; Functional data analysis; Functional principal components; PM10
• Rights: closedAccess
• License: http://purl.org/coar/access_right/c_14cb