Abstract—Particulate matters may affect the health of the people living in metropolis. To establish appropriate health guidelines, further information is required. The purpose of this study is to visualize the spatial distribution and identify those areas of higher concentration of interesting particulate matters within the city. In this work, particle sensing device was devised to be installed on automobiles such as taxies or SUVs, and those vehicles were operated to gather particle information of every nook and corner in the city. This work presents a new technique for arrangement and refinement of the gathered data and demonstrates how it is applied to the visualization and statistical analysis. This paper provides the results of mapping spatial distribution of urban street dust concentration with visualized maps and identifies the correlation among particle matters. This work also investigates the relationship between particulate matters and metrological parameters such as temperature, wind speed, and precipitation using statistical methods like analysis of variance (ANOVA) and Principal Components Analyses (PCA). In addition the results prove that particulate matters are significantly correlated to metrological parameters.