Authors: Isaac Sudweeks, Bradley Adams
Mentors: Bradley Adams
Insitution: Brigham Young University
Isopleths are graphical representation of atmospheric data used to analyze the response of an atmospheric chemical such as Ozone to the change in other chemicals in the atmosphere such as oxides of nitrogen and volatile organic compounds. Isopleths then can be used by researchers and other to decide the best way to reduce pollutants in the atmosphere. I set out to use data processing and statistical models to better understand and interpret large experimental chemistry data through the creation of 3 dimensional isopleths. I started by splitting up the data into 2 figures that were functions of 1 variable to make simpler 2d plots. After exploring several techniques to create models such as smoothing splines, b-splines and least squares to fit a quadratic, and through using tools such as generalized cross validation, analysis of covariance, and general visual inspection, I concluded that the best model to create an isopleth is, in the case of the data I was given, a least squares fit-b spline (LSQ spline) using a small number of knots spread evenly over the range of data.