Visualization with R Programming Language of the Particulate Matter (PM10) Quantities in Cities of Turkey

With the contribution of recent technological developments, it is aimed to provide researchers with advanced animation based data visualizations for an active pollutant, particulate matter (PM10), in air pollution in an effective manner for the amount of data to be understood in Turkey. For this purpose, for the first time in this research, the R programming language “ggplot2” animation of a simulation package based on Turkey map is generated. In this context, the annual frequency of PM10 based on provinces and cities in Turkey between the years 2014-2018 is preferred and animation data is provided. When the animation visualization of Turkey is tested on the basis of PM10 in the culture, it is found to have values similar to the average of those examined in Turkey. As a result of this situation, it has become necessary to take action by developing a clean air action plan for particulate matter pollution, which is one of the threats to human health and the environment. A new perspective in the field of data visualization has been introduced to the researchers by ensuring that the advanced animation visualizations developed in this study can be understood more effectively with animations at different frequencies.