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A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
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ExMove: An open-source toolkit for processing and exploring animal-tracking data in R.

Liam P Langley1, Stephen D J Lang1, Luke Ozsanlav-Harris1,2

  • 1Centre for Ecology and Conservation, University of Exeter, Penryn, Cornwall, UK.

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A new R toolkit simplifies cleaning animal tracking data, enhancing reproducibility and standardization in movement ecology studies. This open-access resource aids researchers in preparing high-quality, shareable datasets for analysis and archiving.

Keywords:
ARGOSGPSanimal movementcode sharinggeolocatorreproducibilitytracking datauser guide

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Area of Science:

  • Animal movement ecology
  • Bioinformatics
  • Ecological data science

Background:

  • Technological advances have increased the volume and complexity of animal tracking data.
  • Existing software tools primarily focus on movement modeling, neglecting crucial data pre-processing steps.
  • Inconsistent data cleaning methods hinder reproducibility and data sharing in ecological research.

Purpose of the Study:

  • To introduce a novel, open-access R toolkit for processing raw animal tracking data.
  • To standardize and streamline the pre-processing of diverse tracking datasets.
  • To enhance the reproducibility and shareability of animal movement data.

Main Methods:

  • Development of a reproducible toolkit in R for data cleaning and pre-processing.
  • Implementation of 'tidy coding' practices and utilization of the 'sf' package for spatial manipulations.
  • Creation of an accompanying website and Shiny app for user guidance and data visualization.

Main Results:

  • The toolkit successfully processes raw tracking files into a single, cleaned dataset.
  • It is generalizable across different data formats and tracking device types.
  • The toolkit facilitates data analysis and upload to online tracking databases.

Conclusions:

  • The toolkit offers a robust pipeline from data collection to archiving, promoting standardization in animal movement ecology.
  • It addresses the critical need for transparent and reproducible data pre-processing.
  • This resource empowers researchers to generate high-quality, standardized, and shareable movement datasets.