August 10, 2020

This code was written by Caleb Kornfein for PhD candidate Janos Breuer at the Forschungszentrum Jülich during summer 2020. It analyzes models used in Mr. Breuer's research to predict the number of kilometers driven per year by different types of vehicles in various communities in Germany. In addition, I propose alternative XGBoost models that could have been used to tackle the problems. Ultimately, Mr. Breuer's models resulted in a published data set and were used in his future research as part of a transportation model estimating localized emissions of harmful pollutants.

Community Model Report.docx -- contains a written report summarizing key findings and observations

Communities_train.xlsx -- contains the raw training data used

Communities_predict.xlsx -- contains the new communities to be predicted

Community Models.Rmd -- contains the documented code for analyzing the current MLR models for communities

XGBoost Models.Rmd -- contains the documented code creating the new XGBoost model set

Community Model Images -- ready images of some of the main graphs used in Community Model Report in TIFF format