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        <title>FOSS4G 2021 - MANILAud: Mapping Soundscapes Through Participatory Data Collection .....</title>
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        <description>MANILAud: Mapping Soundscapes Through Participatory Data Collection - A case study of Metro Manila A common approach used to map soundscapes is through quantitative methods, such as using a survey-grade sound meter. However, these methods have been deemed insufficient in interpreting and identifying the complexity of soundscapes. To deal with this problem, the authors incorporated a method that uses participatory data collection to record the quantitative measurements such as sound level. The perceived level of annoyance (PLA) of the sound based on the individual's perspective was also used through this research. An open-source crowdsourcing sound map is created where users can upload sound recordings, images, and feedback related to the soundscape of that particular location. The study area is in Metro Manila. I will present how we utilized OpenStreetMap data and free and open-source software (FOSS) for participatory data collection and data visualization for this project. (Github page: http://bit.ly/manilaud) It will be a walkthrough on how the project was done, how the interactive mapping platform is used, and how to submit and listen to the soundscapes in the platform. (Platform: http://bit.ly/manilaudday or http://bit.ly/manilaudnight) Link to the presentation slides: https://slides.com/sandratabinas/audible-maps-mental-health-awhereness-hear-here-2-0-and-how-sound-and-maps-can-show-that-we-care-1f5cbd/fullscreen Authors and Affiliations – Tabinas, Sandra (1) Quisado, Kenneth (2) Templonuevo, Jewel (3) (1) University of the Philippines, Department of Geomatics Engineering Track – Use cases &amp; applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English</description>
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