|Contact:||marc-olivier.beausoleil at mail.mcgill.ca|
The study of ornithology is vast and multidisciplinary in essence. Thus, this “Ornithometrics” ( *ornitho-* ; ‘bird’ and *-metric* ; ‘relating to measurement’) task view contains a collection of packages that can process data taken on or from birds or the environmental variables that are in association with bird activities. To my knowledge, the word Ornithometrics has been used once in a mathematical journal (Underhill 1989).
The headers of the table of content were made to facilitate navigation, but bear in mind that some packages might fall in multiple categories. Other task views could be consulted for broader coverage of topics including ecology and environment (known as the Environmetrics task view) and spatial analysis (which can be found in the Spatial task view). The rest of the CRAN task views can be seen here. There are also independent task views for various topics on GitHub.
Some packages might require specific R versions or RStudio versions.
This task view is made to encourage researchers to work with ornithological data and adopt best practices. Effort was made to cite all the packages as accurately as possible (see reference section and the .bib file here ). In addition, there are resource sections that include Atlases from various countries, states and provinces, but also links to databases that researchers can use to answer questions in ornithology (see the section titled Datasets and atlases ). All references were exported in the style of journal “Ecology”. The references do not include the version of the R packages, but it is highly encouraged to do so when citing packages (
citation(package = "package_name")).
Please contact me to suggest packages or ideas for this task view.
viewSpec(), sound files can be viewed as spectrograms. You might want to try setting the player to playback audio to
setWavPlayer("afplay")on Mac or
setWavPlayer("rhythm-box")on Ubuntu. You might be interested in the AMMonitor package as well.
SongEvo()) cultural evolution in bird song (Danner et al. 2019)
query_xc()function can search and download sounds from Xeno-canto.
Citizen science have much success when it comes to birding. Bird observation through citizen science data is amazingly rich and available to download either by requesting the data or an application programming interface or API access.
Beausoleil, Marc-Olivier. 2021. Ornithometrics: a collection of R packages to analyse ornithological data. 10.6084/m9.figshare.14453757