A data science blog focusing on acoustic ecology and environmental data analysis.
I’m Tristan Louth-Robins, a sound artist, acoustic ecologist and composer. In 2020, I started learning data science with the intention of incorporating it into my acoustic ecology practice as well as explore some of its wider practical applications. You’ll find my social links in the footer, as well as links to my GitHub, artist blog, and so forth.
If you haven’t checked out the previous post covering ACI and BI, I’d recommend going back to it since it provides an overview of the soundecology package, what indices are and how it all can be put into practice. Last month I presented an introductory case study for the application of the Acoustic Complexity (ACI)Continue reading “Introduction to NDSI: measuring anthropogenic noise disturbance”
In this post I’m going provide an introduction to some features of the soundecology package developed by Luis J. Villanueva-Rivera and Bryan C. Pijanowski. This will be the first of several intended posts that will explore the potential of this and other packages for analysing and quantifying audio data. In essence, the soundecology package computesContinue reading “Introduction to ACI & BI: a dawn recording use case”
Preamble 1: If you’re unfamiliar with R, then the functions and code that I reference here might not make a whole lot of sense. However, rest assured! R jargon isn’t going to dominate these posts, since I’m keen to use visualisations throughout. So even if you’re not familiar with the language, the visuals should stillContinue reading “Introduction to bomrang: Exploring La Niña”
Hi there! I’m an Adelaide-based sound artist, acoustic ecologist and composer. What am I doing writing about data science you ask? Well, that’s a bit of a convoluted story, but here’s the rundown: my employer (CSIRO) recently set up a Data School program for employees, with a branch of its studies dedicated to data scienceContinue reading “An introduction”