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How to analyse and represent quantitative soundscape data
Author(s) -
Andrew Mitchell,
Francesco Aletta,
Jian Kang
Publication year - 2022
Publication title -
jasa express letters
Language(s) - English
Resource type - Journals
ISSN - 2691-1191
DOI - 10.1121/10.0009794
Subject(s) - soundscape , variety (cybernetics) , visualization , computer science , data science , key (lock) , data mining , artificial intelligence , acoustics , sound (geography) , physics , computer security
This study first examines the methods presented in ISO 12913 for analysing and representing soundscape data by applying them to a large existing database of soundscape assessments. The key issue identified is the inability of the standard methods to summarise the soundscape of locations and groups. The presented solution inherently considers the variety of responses within a group and provides an open-source visualisation tool to facilitate a nuanced approach to soundscape assessment and design. Several demonstrations of the soundscape distribution of urban spaces are presented, along with proposals for how this approach can be used and developed.

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