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      move2: R package for processing movement data

      1 , 2 , 2 , 3 , 2 , 3
      Methods in Ecology and Evolution
      Wiley

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          Abstract

          • Studying animal movement is key to understanding ecological processes and studying the impacts of global change. The pivotal importance of collecting movement data drives technological development, and as a consequence, movement trajectories are gathered at unprecedented rates.

          • For the analysis of the ever‐increasing volume of movement tracks, software packages that bridge between data storage, analysis and visualization are crucial. To facilitate analysis, it is key that the metadata, as well as projections, measurements units, and attributes for the track as a whole and auxiliary sensor measurements, are retained. At the same time, the software needs to be flexible enough to accommodate data from the multitude of different sources and tracking technologies.

          • Here, we present the newly developed R package move2 that facilitates import, manipulation, analysis and visualization of movement tracks. The package enables the usage of new programming techniques developed in recent years and has been developed based on the experiences made in the past decade with the move package.

          • The package is tightly integrated into the Movebank ‘ecosystem’ by being a key data format in MoveApps and providing a direct download option from movebank. However, move2 allows the integration of movement data sources of any provenance, providing a generic entry point for movement data analysis in R.

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              ECOLOGY. Terrestrial animal tracking as an eye on life and planet.

              Moving animals connect our world, spreading pollen, seeds, nutrients, and parasites as they go about the their daily lives. Recent integration of high-resolution Global Positioning System and other sensors into miniaturized tracking tags has dramatically improved our ability to describe animal movement. This has created opportunities and challenges that parallel big data transformations in other fields and has rapidly advanced animal ecology and physiology. New analytical approaches, combined with remotely sensed or modeled environmental information, have opened up a host of new questions on the causes of movement and its consequences for individuals, populations, and ecosystems. Simultaneous tracking of multiple animals is leading to new insights on species interactions and, scaled up, may enable distributed monitoring of both animals and our changing environment.
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                Author and article information

                Contributors
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                Journal
                Methods in Ecology and Evolution
                Methods Ecol Evol
                Wiley
                2041-210X
                2041-210X
                July 11 2024
                Affiliations
                [1 ] Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam Amsterdam The Netherlands
                [2 ] Department of Migration Max‐Planck Institute of Animal Behavior Radolfzell Germany
                [3 ] Faculty of Biology Universität Konstanz Constance Germany
                Article
                10.1111/2041-210X.14383
                9a3f57fc-493d-46b6-8134-497e6c86f612
                © 2024

                http://creativecommons.org/licenses/by/4.0/

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