Abstract

RAMIREZ, Miguel A.; ARIAS, Jánel  and  SANTA, Luis F.. Functional principal component analyses for study of particulate matter (pm10) in the city of Bogotá. Ing. compet. [online]. 2016, vol.18, n.2, pp.75-88. ISSN 0123-3033.

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

Keywords : Functional data analysis; functional principal components; PM10.

        · abstract in Spanish     · text in English     · English ( pdf )