Using Inverse Distance Weighting (IDW) interpolation to create prediction surfaces in R. IDW method was used to predict distribution of N02, PM_25 and O3 of Air Quality data collected from sensors across USA.
The EPA provides many prepared datasets. Air quality data for year 2000 was used in this analysis In this exercise, the Annual Summary Data for will be used – Concentrations by Monitor: https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual
The Analysis will cover Five States of "South Carolina", "North Carolina", "Georgia", "Kentucky" and "Tennessee"
- Nitrogen dioxide (NO2)
- Ozone (03)
- PM2.5 Local conditions
Our research is limited to three air quality parameters: ozone (O3), nitrogen (NO3), and PM2:5 local condition. The data has 55 fields, however only Latitude, Longitude, Datum, Parameter Name, Arithmetic Mean, and State Name are relevant for this analysis.