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

Autor: Quentin Petitjean, Silène Lartigue, Mélina Cointe, Nicolas Ris, Vincent Calcagno
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: SoftwareX, Vol 26, Iss , Pp 101674- (2024)
Druh dokumentu: article
ISSN: 2352-7110
DOI: 10.1016/j.softx.2024.101674
Popis: 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.
Databáze: Directory of Open Access Journals