WATERSCHAP (2014)
Art/Science
While we are used to perceive and interpret data visually, we are not so much used to do so through our other senses. Waterschap is a software tool that shines a new light on datasets of fish populations, by transforming them into soundscapes. This makes the otherwise graphically presented data audible. With this, the project explores how the interpretation of data depends on the senses that it is perceived by.
The project will be presented at IANA science and art symposium.
In collaboration with Lise Stork.
How to interpret the sound:
Each variable is represented by a specific sound and each sound has its own position in the stereo image and the frequency spectrum. This makes it possible to perceive multiple graphs at once, while still being able to differentiate between different variables.
The example on the left is a soundscape that was created from data of Herring populations in the North Sea between 1947 and now. I supplied graphs of the data, so you can see how the sound scape relates to the data. Note for example how overfishing during the 60s and 70s almost let to the extinction of Herring and try to hear that back in the sound.
The sounds are mapped in the following way:
A beep in the centre of the stereo image represents the fish mortality caused by fishing activities. Every beep denotes a new year in the dataset. The pitch of the beep changes with the height of fishing mortality. When fishing activities rise above the maximum sustainable amount (fMSY), a high pitched tone plays continuously.
A swirling bass sound on the left side of the stereo image represents the total biomass of all Herring (SSB). The sound gets fiercer as the biomass gets bigger and less fierce as the biomass gets smaller.
White noise on the right side of the stereo image represents the amount of new born Herrings (recruitment). The loudness of the noise corresponds to the amount of new born Herrings.
*Datasets were aquired from ICES Stock Assessment Database, 2015. ICES, Copenhagen.