wildrtrax
(pronounced wild-r-tracks) is an R package containing functions to help manage and analyze environmental sensor data. It helps to simplify the entire data life cycle by offering tools for data pre-processing, wrangling, and analysis, facilitating seamless data transfer to and from WildTrax. With wildrtrax
, users can effortlessly establish end-to-end workflows and ensure reproducibility in their analyses. By providing a consistent and organized framework, the package promotes transparency and integrity in research, making it effortless to share and replicate results.
You can install the most recent version of wildrtrax
directly from this repository with:
# install.packages("remotes")
remotes::install_github("ABbiodiversity/wildrtrax")
The development version of this package contains experimental features and recent fixes. It can be installed with:
remotes::install_github("ABbiodiversity/wildrtrax@development")
The development version of the package will be periodically merged and will be reflected in the Changelogs.
All functions begin with a wt_*
prefix. Column names and metadata align with the WildTrax infrastructure. The goal is to follow the work flow of pre-processing, linking with WildTrax, download and analysis.
ARUs 🔉 Cameras 📷 Point counts 🐦 Bats 🦇
- Pre-process acoustic data
wt_audio_scanner()
🔉 🦇wt_run_ap()
🔉wt_glean_ap()
🔉wt_signal_level()
🔉wt_chop()
🔉 🦇wt_make_aru_tasks()
🔉 🦇wt_songscope_tags()
🔉wt_kaleidoscope_tags()
🔉 🦇
- Download data from WildTrax
wt_auth()
📷 🔉 🐦 🦇wt_get_download_summary()
📷 🔉 🐦 🦇wt_download_report()
📷 🔉 🐦 🦇- Available reports:
main, project, location, recording, image_set, image, tag, point_count, megadetector, megaclassifer, birdnet, daylight
- Available reports:
wt_dd_summary()
📷 🔉 🐦 🦇wt_get_species()
📷 🔉 🐦 🦇wt_download_media()
🔉 🦇 📷
- Analyze data
wt_summarise_cam()
📷wt_ind_detect()
📷
- Convenience functions
wt_location_distances()
🔉 📷 🐦 🦇wt_tidy_species()
🔉 📷 🐦 🦇wt_replace_tmtt()
🔉wt_make_wide()
🔉 🐦 🦇wt_format_occupancy()
🔉 🐦wt_qpad_offsets()
🔉 🐦wt_add_grts()
🦇
- Acoustic classification 🔉
wt_evaluate_classifier()
🔉wt_get_threshold()
🔉wt_additional_species()
🔉
To report bugs, request additional features, or get help using the package, please file an issue.
We encourage ongoing contributions and collaborations to improve the package into the future. The Alberta Biodiversity Monitoring Institute provides ongoing support, development and funding.
This R package is licensed under MIT license©2024 Alberta Biodiversity Monitoring Institute.
Please note that wildrtrax
is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.