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Introduction In the previous (rather distant) blog post, I began an exploration of Python’s powerful soundscape analysis package, scikit-maad with a demonstration of how you can easily render circadian soundscapes (24-hour summaries of a soundscape) from…
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Introduction For some time I’ve been meaning to get stuck into one of Python’s most powerful and prolific libraries for exploring soundscapes – scikit-maad.
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Over the last three years of maintaining this blog, there’s been a conspicuous absence in the acoustic index toolkit presented so far.
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Happy new year everyone!
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If you’ve found this post and want to jump to the solution I’ve developed, go for it and find it further down this post – I shall not be offended.
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As I’d indicated in my previous post, following the interesting outcome of the October 2022 AudioMoth deployment on Lady Bay reef, I intended to return and deploy a pair of AudioMoths to make further observations of the reef’s underwater environment.
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Back in October, I made a trip down to a reef located at Lady Bay, a beach located about two kilometers south of the township of Normanville, on the western coast of the Fleurieu Peninsula.
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Up to now on this blog I’ve been exploring acoustic ecology and data science tools mostly within the context of acoustic indices, regular events occurring in a time series and trend-based analysis.
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In an earlier post from 2021, I ran through a basic use case for an acoustic index called the Normalised Difference Soundscape Index (NDSI).
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There’s a couple of posts coming this month and here’s the first one explaining what’s happening (or actually, not happening) with the Middle Farm project.