S. Filip

Impact of Meteorological Factors on Air Pollution Prediction Based on Multiple Linear Regression with R Program: A Case Study with Comparable-Pollutant Parameters and Fragmented Seasonal Datasets from a Heavy-Urban-Traffic Monitoring Station

Air pollution data processing is a relevant aspect of urban-life-quality monitoring. This study relates the values of air pollutants to meteorological factors with prediction models created with multiple linear regression (MLR) in the R program. Fragmented data were obtained in the years 2023/24 from the heaviest-urban...