These datasets contain air quality measurements for training and testing purposes. They include various air pollutant concentrations and meteorological variables measured at different locations and times.
data("Air_quality_training")
data("Air_quality_testing")Both datasets are data frames with 8760 rows and 12 variables:
Date and time of measurement (POSIXct format)
Particulate matter with diameter less than 2.5 micrometers (\mu g/m^3)
Particulate matter with diameter less than 10 micrometers (\mu g/m^3)
Sulfur dioxide concentration (\mu g/m^3)
Nitrogen dioxide concentration (\mu g/m^3)
Carbon monoxide concentration (\mu g/m^3)
Ozone concentration (\mu g/m^3)
Temperature (\textdegree C)
Atmospheric pressure (hPa)
Dew point temperature (\textdegree C)
Precipitation amount (mm)
Wind speed (m/s)
Dataset Differences:
Air_quality_training: Used for training SCA and SCE models
Air_quality_testing: Used for testing trained models
Variable Descriptions:
PM2.5, PM10: Particulate matter concentrations, important indicators of air quality
SO2, NO2, CO, O3: Major air pollutants regulated by environmental agencies
TEMP, PRES, DEWP: Meteorological variables affecting air quality
RAIN, WSPM: Weather conditions that influence pollutant dispersion