832321 BOKU International wildlife lectures


Type
Lecture and seminar
Semester hours
2
Lecturer (assistant)
Araya-Salas, Marcelo , Kunz, Florian , Sachser, Frederik
Organisation
Offered in
Sommersemester 2022
Languages of instruction
Englisch

Content

Analysis of animal acoustic signals in R

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 acoutic signal research as well as hands-on experience on analytical tools in R.

Previous knowledge expected

Basic familiarity with R

Objective (expected results of study and acquired competences)

After successfully participating in this course, students will have a basic understanding of:

• key terms, concepts and principles in acoustics and the digital representation of sound

• basic computational tools to explore different dimension of sound in its digital form

• main features of the structure of animal acoustic signals

• common methods for detecting and quantifying acoustic signal structure

• basic workflow of analysis when quantifying variation in signal structure

• common pitfalls in bioacoustic analysis
You can find more details like the schedule or information about exams on the course-page in BOKUonline.