TY - GEN
T1 - VISUAL ANALYSIS OF ENVIRONMENTAL NOISE DATA
AU - Moreno, Juan José Franco
AU - Alsina-Pages, Rosa Maria
AU - Alcocer, Pere Pau Vázquez
N1 - Funding Information:
Partially supported by project TIN2017-88515-C2-1-R(GEN3DLIVE), from the Spanish Ministerio de Economía y Competitividad, by 839 FEDER (EU) funds. Juan José Franco Moreno is supported by Consejo Nacional de Ciencia y Tecnología (CONACYT, Mexico). Thanks to Carlos Francisco Pérez-Vela y Dominick, Yuritzi Monrroy Ávila, and Marco Antonio González Silva, for their collaboration in the usability tests and overall support.
Publisher Copyright:
© MCCSIS 2022.All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Comparative Visualization
KW - Information Visualization
KW - Space-Filling Curves
KW - Visual Analytics
UR - http://www.scopus.com/inward/record.url?scp=85142381943&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85142381943
T3 - 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2022, 8th International Conference on Connected Smart Cities, CSC 2022, 7th International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th International Conference on Theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022
SP - 45
EP - 53
BT - 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2022, 8th International Conference on Connected Smart Cities, CSC 2022, 7th International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th International Conference on Theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022
PB - IADIS Press
T2 - 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2022, 8th International Conference on Connected Smart Cities, CSC 2022, 7th International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th International Conference on Theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022
Y2 - 19 July 2022 through 22 July 2022
ER -
