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

2023 Score: 30 ? 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, Nicolas Ris, Nicolas Ris, Vincent Calcagno, Vincent Calcagno, Quentin Petitjean

Summary

This paper introduces MoveR, an R software package for analyzing animal video-tracking data to study movement and behavior. The tool is not related to microplastic research but could be applied to study how animals respond behaviorally to plastic pollution exposure.

Abstract 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. Metadata

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