{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T08:13:09Z","timestamp":1790496789465,"version":"4.1.0"},"reference-count":34,"publisher":"Wiley","issue":"18","license":[{"start":{"date-parts":[[2021,8,20]],"date-time":"2021-08-20T00:00:00Z","timestamp":1629417600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ecology and Evolution"],"published-print":{"date-parts":[[2021,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Increasingly, animal behavior studies are enhanced through the use of accelerometry. To allow translation of raw accelerometer data to animal behaviors requires the development of classifiers. Here, we present the \u201crabc\u201d (<jats:bold>r<\/jats:bold> for <jats:bold>a<\/jats:bold>nimal <jats:bold>b<\/jats:bold>ehavior <jats:bold>c<\/jats:bold>lassification) package to assist researchers with the interactive development of such animal behavior classifiers in a supervised classification approach. The package uses datasets consisting of accelerometer data with their corresponding animal behaviors (e.g., for triaxial accelerometer data along the x, y and z axes arranged as \u201cx, y, z, x, y, z,\u2026, behavior\u201d). Using an example dataset collected on white stork (<jats:italic>Ciconia ciconia<\/jats:italic>), we illustrate the workflow of this package, including accelerometer data visualization, feature calculation, feature selection, feature visualization, extreme gradient boost model training, validation, and, finally, a demonstration of the behavior classification results.<\/jats:p>","DOI":"10.1002\/ece3.7937","type":"journal-article","created":{"date-parts":[[2021,8,20]],"date-time":"2021-08-20T07:46:11Z","timestamp":1629445571000},"page":"12364-12377","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["R package for animal behavior classification from accelerometer data\u2014rabc"],"prefix":"10.1002","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9151-5250","authenticated-orcid":false,"given":"Hui","family":"Yu","sequence":"first","affiliation":[{"name":"Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University  Geelong Vic Australia"},{"name":"Druid Technology Co., Ltd.  Chengdu China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcel","family":"Klaassen","sequence":"additional","affiliation":[{"name":"Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University  Geelong Vic Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,8,20]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0139351"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780367816377"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/2051\u20103933\u20102\u20106"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/2050\u20103385\u20101\u201020"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041\u2010210X.13172"},{"key":"e_1_2_8_7_1","volume-title":"shiny: Web Application Framework for R","author":"Chang 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