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Title:
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VISUAL ANALYSIS OF ENVIRONMENTAL NOISE DATA |
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Author(s):
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Juan José Franco Moreno, Rosa Maria Alsina-Pages and Pere Pau Vázquez Alcocer |
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ISBN:
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978-989-8704-42-9 |
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Editors:
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Yingcai Xiao, Ajith Abraham, Guo Chao Peng and Jörg Roth |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Visual Analytics, Information Visualization, Space-Filling Curves, Comparative Visualization |
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Type:
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Full Paper |
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First Page:
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45 |
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Last Page:
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53 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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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