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 analysi...

Full description

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
Description
Summary:(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.