air_quality: Air Quality Dataset

In SCE: Stepwise Clustered Ensemble

Air Quality Dataset

Description

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.

Usage

data("air_quality_training")
data("air_quality_testing")

Format

Both datasets are data frames with 8760 rows and 12 variables:

Date

Date and time of measurement (POSIXct format)

PM2.5

Particulate matter with diameter less than 2.5 micrometers (\mug/m^3)

PM10

Particulate matter with diameter less than 10 micrometers (\mug/m^3)

SO2

Sulfur dioxide concentration (\mug/m^3)

NO2

Nitrogen dioxide concentration (\mug/m^3)

CO

Carbon monoxide concentration (\mug/m^3)

O3

Ozone concentration (\mug/m^3)

TEMP

Temperature (^\circC)

PRES

Atmospheric pressure (hPa)

DEWP

Dew point temperature (^\circC)

RAIN

Precipitation amount (mm)

WSPM

Wind speed (m/s)

Details

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

Source

Air quality monitoring stations

SCE documentation built on May 11, 2026, 9:07 a.m.