Bioacoustics Data Analysis using R and Studio (BIAC04)
https://www.prstats.org/course/bioacoustics-data-analysis-biac04/https://www.prstats.org/course/bioacoustics-data-analysis-biac04/
ABOUT THIS COURSE
The study of animal acoustic signals is a central tool for many fields in
behavior, ecology, evolution and biodiversity monitoring. The accessibility
of recording equipment and growing availability of open-access acoustic
libraries provide an unprecedented opportunity to study animal acoustic
signals at large temporal, geographic and taxonomic scales. However, the
diversity of analytical methods and the multidimensionality of these
signals posts significant challenges to conduct analyses that can quantify
biologically meaningful variation. The recent development of acoustic
analysis tools in the R programming environment provides a powerful means
for overcoming these challenges, facilitating the gathering and
organization of large acoustic data sets and the use of more elaborated
analyses that better fit the studied acoustic signals and associated
biological questions. The course will introduce students on the basic
concepts in animal acoustic signal research as well as hands-on experience
on analytical tools in R.
By the end of the course, participants should:
- Understand the basic concepts of bioacoustics and how animal acoustic
signals are analyzed
- Gain proficiency in handling and manipulating acoustic data in R,
including working with ‘wave’ objects and other audio formats
- Develop skills in building and interpreting spectrograms using Fourier
transform techniques and the seewave package in R
- Import Raven Pro annotations into R and refine these annotations with
warbleR functions
- Understand how to quantify the structure of acoustic signals through
various approaches
- Gain experience in quality control of recordings and annotations,
ensuring data integrity and accuracy
- Compare different methods for quantifying acoustic signal structure
and understand the implications of each approach
Please email oliverhoo...@prstatistics.com any questions.
--
Oliver Hooker PhD.
PR stats
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