[BlindRUG] Ideas for data sonification

[Liz Hare]

Hi Robin, 

These are great! Both of these seem really useful for working with real data.

It's hard for me to make suggestions because I use different methods depending on the project I'm working on. One thing I can think of is qq plots, which I might be able to help with sometime if I can use your other code as examples.

Thanks for this work.

Liz


Liz Hare, PhD
Dog Genetics LLC
doggene at earthlink.net
http://www.doggenetics.com

> On Sep 6, 2022, at 6:14 AM, Robin Williams via BlindRUG <blindrug at nfbnet.org> wrote:
> 
> Hi all,
>  
> Apologies for the cross-posting.
>  
> Some of you may be aware of the sonification R package, which can be used to create soundscapes of data. The package was primarily written by a friend and former colleague of mine, Stefan Siegert, with some input from me. Stefan and I are planning to publish an update to the package, hopefully alongside a paper regarding accessibility in the R Journal.
>  
> I'm reaching out to ask for any ideas the community may have for things they would like to see added to the package. Here are two items I am hoping to add, but other suggestions would be very welcome.
> 1. Include a ‘audioloess’ wrapper function which I use regularly. I use this function to produce Loess fits to x-y scatter data, and then call the sonify package to sonify the output. This is currently my primary use of the package.
> 2. Add functionality to communicate a measure of noise, or spread, of x-y scatter data. A Loess curve only enables me to understand the shape of the Loess fit, but getting a handle on the spread of points in different regions of the x axis is more difficult. The current idea is to overlay white noise on the soundscape, estimate the size of a confidence interval using quantile regression, and then map the volume of the white noise to the size of the confidence interval.
>  
> Please reach out to me either on or off list with any ideas you may have, big or small.
>  
> With best wishes,
> Robin
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