Geostatistics applied to study particulate matter PM10 in Mexico City for, January 2014

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.