Title:	VISUAL ANALYSIS OF ENVIRONMENTAL NOISE DATA
Author(s):	Juan José Franco Moreno, Rosa Maria Alsina-Pages and Pere Pau Vázquez Alcocer
ISBN:	978-989-8704-42-9
Editors:	Yingcai Xiao, Ajith Abraham, Guo Chao Peng and Jörg Roth
Year:	2022
Edition:	Single
Keywords:	Visual Analytics, Information Visualization, Space-Filling Curves, Comparative Visualization
Type:	Full Paper
First Page:	45
Last Page:	53
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Smart cities generate a large amount of information that, if used properly, can help improve people's quality of life, while providing environmental support. Decreasing pollution generated by noise, is a prevailing concern, in today's society. A group of experts has collected data in different areas of l'Escaldes-Engordany, in Andorra. These areas have been separated according to traffic policies, i.e., the fully pedestrian ones, the fully vehicular ones, and the combined ones. Analyzing the resulting data may be a complex task, where optimal tools are not available; hence, we have developed a visualization application that allows comparisons and analysis. The main purpose is to improve the conditions in decision making, by having accurate information so that policymakers may have a better understanding of how different transit levels configure the noise landscape, and how contrasting sounds are distributed throughout time. To achieve this, we have developed a visualization application that allows overviewing, detailed individual analysis, and comparative views to parameterize the results of the policies adopted and be in a better position to improve them.
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