Ground-level sulphur dioxide is one of the air pollutants of high concern as a typical indicator of urban air quality. To inform decisions regarding, for instance, the protection of public health from elevated SO₂ lev- els in the city of Balikesir, an understanding of spatial-temporal variance of SO₂ patterns is necessary. Therefore, the aim of this study is to locate sample points, characterize distribution patterns, perform the prob- ability map, and map SO₂ distributions by means of spatial information sciences. In this work, the data were compiled from 48 sampling sites using passive sampling on 10-17 March 2010 (in winter) and on 13-20 August 2010 (in summer). The estimations of SO₂ levels at unsampled locations were carried out with the inverse dis- tance weighted method. Finally, locations exceeding the Turkish Air Quality Standard threshold value were determined in the Balikesir by use of geostatistical algorithms (Indicator kriging). The capability of the meth- ods to predict air quality data in an area with multiple land-use types and pollution sources were then discussed. The results of the passive sampling study show that the winter and summer average concentrations are 32.79 µg/m 3 and 28.27 µg/m³ for SO₂ , respectively. It is expected that where industrial activity is not excessively important, traffic and domestic heating systems are the main source of SO₂ precursors. Moreover, using Indicator Kriging, results show that there are multiple hotspots for SO₂ concentrations and they are strongly correlated to the locations of industrial plants, traffic, and domestic heating systems in Balikesir.