Abstract: The air quality models produce a considerable amount of data, raw data can be hard to conceptualize, particularly when the size of the data sets can be terabytes, so to understand the atmospheric processes and consequences of air pollution it is necessary to analyse the results of the air pollution simulations. The basis of the development of the visualization is shaped by the requirements of the different group of users. We show different possibilities to represent 3D atmospheric data and geographic data. We present several examples developed ...
(read more)
Topics: 
Data science
Data mining
Computer graphics (images)