| Summary: | With the growing interest in healthy living worldwide, there has been an increasing demand for more accurate measurements of the concentrations of air pollutants such as NO<sub>2</sub>. In particular, analyzing the characteristics and sources of air pollutants by region could improve the effectiveness of environmental policies applied in accordance with the environmental characteristics of individual regions. In this study, a detailed nationwide NO<sub>2</sub> concentration map was generated using the cokriging interpolation technique, which integrates ground observations and satellite image data. The root-mean-square standardized (RMSS) error for this technique was close to 1, which indicates high accuracy. Using spatially interpolated NO<sub>2</sub> concentration data, an administrative unit map was generated. When comparing the data for four NO<sub>2</sub> data sources (observation data, satellite image data, detailed national data interpolated using cokriging, and NO<sub>2</sub> concentrations averaged by an administrative unit based on the interpolated NO<sub>2</sub> concentration data), the average concentrations were highest for remote sensing data. Land use regression (LUR) models of urban and non-urban regions were then developed to analyze the characteristics of the NO<sub>2</sub> concentration by region using NO<sub>2</sub> concentrations for the administrative units.
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