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NoiseModelling is a free and open-source tool designed to produce environmental noise maps on very large urban areas. It can be used as a Java library or be controlled through a user friendly web interface.

NoiseModelling is closely paired with the spatial database H2GIS or PostGIS in order to handle a large amount of spatial features. In addition to the operational aspect, this tool is an excellent support for training, teaching and research.

NoiseModelling video presentation



To see more videos about NoiseModelling, please have a look to this dedicated playlist on our YouTube channel.

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sits at the intersection of these trends, offering a framework for round-the-clock access to media that prioritizes mood, narrative depth, and visual poetry over disposable clickbait.

: Many institutions, such as the University of Michigan and Cornell University , offer comprehensive guides on analyzing mass-produced materials like movies, music, and digital videos. Theoretical Frameworks : Books like Popular Culture: A User’s Guide

But "24 12" goes further. It suggests:

Content is often created by or in close collaboration with the performers.

sits at the intersection of these trends, offering a framework for round-the-clock access to media that prioritizes mood, narrative depth, and visual poetry over disposable clickbait.

: Many institutions, such as the University of Michigan and Cornell University , offer comprehensive guides on analyzing mass-produced materials like movies, music, and digital videos. Theoretical Frameworks : Books like Popular Culture: A User’s Guide

But "24 12" goes further. It suggests:

Content is often created by or in close collaboration with the performers.


Use cases

Below are listed some use cases, where NoiseModelling has been used.
Name Link More
Probabilistic modeling framework for multisource sound mapping See Read
Dynamic approach for the study of the spatial impact of road traffic noise at peak hours See Watch
Sensitivity Analysis & data assimilation See Watch
Captation et Simulation d’Ambiances Urbaines Spatialisées See

Contributors


Institutional


ECN

École Centrale de Nantes

UBS

Université Bretagne Sud

Cerema

Cerema