ETN: R package to access data from the European Tracking Network

Talk at the 9th annual OTN Symposium in the session Data analysis packages - November 15, 2021.

Transcript

1. ETN
   R package to access data from the
   European Tracking Network
   9th annual OTN Symposium
   November 15, 2021
   Peter Desmet
   0000-0002-8442-8025
   

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2. ETN - European Tracking Network
   

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3. ETN application
   

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4. ETN R package
   

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5. - Started in 2018
   - Provide access to ETN data
   - Tidyverse style
   - 4 types of functions:
   - connect_to_etn():
   make database connection
   - get_ functions:
   get data in tabular format
   - list_ functions:
   list unique values as vector
   - download_dataset functions:
   export data for publication
   ETN R package
   

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6. - Mimic tables in ETN application:
   - Data as tibble data frame
   - Standardized column names
   - Function parameters as filters:
   get_animals(
   animal_project_code =
   "2014_demer"
   scientific_name =
   c("Rutilus rutilus",
   "Silurus glanis")
   )
   get_ functions
   

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7. - Export all data for a project
   - animals
   - tags
   - detections
   - deployments
   - receivers
   - Structure expressed as a
   Frictionless Data Package
   - Good format for publishing
   source data, e.g.
   https://doi.org/10.14284/432
   download_dataset function
   

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8. - Allow use beyond
   https://rstudio.lifewatch.be
   - Expand scope to
   underwater acoustics, PIT, etc.
   - rOpenSci, CRAN
   Development roadmap
   

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9. Thank you
   Development team: Peter Desmet,
   Damiano Oldoni & Stijn Van Hoey
   with input from ETN users
   Desmet P (2021) ETN: R package to access
   data from the European Tracking Network.
   Presentation at the 9th annual OTN
   Symposium. https://bit.ly/etn-otn-2021
   ETN R package
   inbo.github.io/etn
   ETN application
   lifewatch.be/etn
   

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