Title :
Geostatistics applied to study particulate matter PM10 in Mexico City for, January 2014
Author :
Natalia Andrea Ospina Moreno;Diana Katherin Avellaneda Gomez
Author_Institution :
Ingenier?a Catastral y Geodesia, Universidad Distrital Francisco Jos? de Caldas, Bogota, Colombia
Abstract :
This paper wants to produce a map that allows visualizing the behavior of particulate matter for the month of January 2014, using geostatistical techniques such as Kriging interpolation and the theoretical model of semi-variance, and all that any geo statistical work has to wear place over three stages: (exploratory data analysis, structural analysis, forecast) (Garcia, 2004) of 20 stations in Mexico City.
Keywords :
"Predictive models","Maximum likelihood estimation"
Conference_Titel :
Engineering Applications - International Congress on Engineering (WEA), 2015 Workshop on
DOI :
10.1109/WEA.2015.7370144
