A Novel Approach for Visual Representation of Animated Weather Station Data
2017
Expert analysts interested in meteorology have a lot of complex situations while exploring and analyzing meteorological data visualization interfaces.According to previous researches, combining symbolic and realistic visualization methods in the direction of specific criterias are not found.In this paper, it is aimed to solve this problem with a better data visualization approach.As our starting point, visualization criterias are specified for a better visualization.After that the data belonging to meteorological variables (temperature, atmospheric pressure, humidity and wind speed and direction) gathered from both local and global weather stations are visually implemented for both symbolic 2D and animated 2D.Giving expert analysts opportunity to experience our new generation visualization method, it is proven that symbolic 2D visualization is not enough to meet today's visualization requirements.The approach that hybrid visualization provides a better visualization with predefined visualization criterias is verified.