/LUR-NO2-Model

Scripts used to create global NO2 LUR model

Primary LanguagePython

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Author: Andrew Larkin
Affiliation: Oregon State University, College of Public Health and Human Sciences
Principal Investigator: Perry Hystad
Date last modified: September 23rd, 2018

Summary
This github repository contains the scripts used to create a global NO2 land use regression model. Land use estimates were derived using python and ArcGIS. Variable selection and model development were developed using R Studio.

Repository Structure
Files are divided into three folders, with each folder corresponding to a unique stage of model development.

  • variable estimates - scripts in this folder were used to derive NO2 estiamtes at air monitor locations using parallel processing.
  • upwind estimates - scripts in this folder were used to estimate length of road upwind from air monitor locations.
  • statistical analysis - scripts in this folder were used to perform lasso variable selection, model evaluation, and sensitivity analysis.

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