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MoveR: An R package for easy processing and analysis of animal video-tracking data

SoftwareX 2024 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Quentin Petitjean Quentin Petitjean Silène Lartigue, Quentin Petitjean Silène Lartigue, Mélina Cointe, Mélina Cointe, Nicolas Ris, Nicolas Ris, Vincent Calcagno, Vincent Calcagno, Quentin Petitjean

Summary

Researchers developed MoveR, an open-source R package that provides flexible tools for importing, filtering, visualizing, and analyzing animal movement data from common video-tracking systems. The package addresses challenges posed by the complexity and noisiness of high-resolution tracking datasets by offering functions for polishing data, removing artifacts, subsetting paths, and computing movement and behavior metrics.

Animal movement and behavior are critical to understanding ecological and evolutionary processes. Recent years have witnessed an increase in methodological and technological innovations in video-tracking solutions for phenotyping animal behavior. Although these advances enable the collection of high-resolution data describing the movement of multiple individuals, analyzing and interpreting them remains challenging due to their complexity, heterogeneity, and noisiness. Here, we introduce MoveR, an R package for importing, filtering, visualizing, and analyzing data from common video-tracking solutions. MoveR includes flexible tools for polishing data, removing tracking artifacts, subsetting and plotting individual paths, and computing different movement and behavior metrics.

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