MoveR: An R package for easy processing and analysis of animal video-tracking data
- Others:
- Institut Sophia Agrobiotech (ISA) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE)-Université Côte d'Azur (UniCA)
- ANR-14-CE18-0002,TriPTIC,Trichogramma pour la protection des cultures: Pangénomique, Traits d'histoire de vIe et Capacités d'établissement(2014)
- ANR-19-ECOM-0010,Bidime,BIodiversité des trichogrammes, Diversification des produits de biocontrôle et nouveaux Modèles Economiques(2019)
Description
Animal movement and behavior are critical to understanding ecological and evolutionary processes. Recent yearshave witnessed an increase in methodological and technological innovations in video-tracking solutions forphenotyping animal behavior. Although these advances enable the collection of high-resolution data describingthe movement of multiple individuals, analyzing and interpreting them remains challenging due to theircomplexity, 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 differentmovement and behavior metrics.
Abstract
International audience
Additional details
- URL
- https://hal.inrae.fr/hal-04650104
- URN
- urn:oai:HAL:hal-04650104v1
- Origin repository
- UNICA