{"title":"Correction to: Characterising menotactic behaviours in movement data using hidden Markov models","authors":"","doi":"10.1111/2041-210X.70014","DOIUrl":null,"url":null,"abstract":"<p>Togunov, R. R., Derocher, A. E., Lunn, N. J., Auger-Méthé, M. W. (2021). Characterising menotactic behaviours in movement data using hidden Markov models, 12, 1984–1998. https://doi.org/10.1111/2041-210X.13681</p><p>The original Appendix D (titled ‘Mee313681-sup-0002-AppendixD.pdf’) contained script to import code that was not included in the original submission. Specifically, line ‘source(“Tutorial Source.R”)’ in the first code block. The missing code has been added to the updated appendix.</p><p>We apologise for this error.</p>","PeriodicalId":208,"journal":{"name":"Methods in Ecology and Evolution","volume":"16 4","pages":"866"},"PeriodicalIF":6.3000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/2041-210X.70014","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods in Ecology and Evolution","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/2041-210X.70014","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Togunov, R. R., Derocher, A. E., Lunn, N. J., Auger-Méthé, M. W. (2021). Characterising menotactic behaviours in movement data using hidden Markov models, 12, 1984–1998. https://doi.org/10.1111/2041-210X.13681
The original Appendix D (titled ‘Mee313681-sup-0002-AppendixD.pdf’) contained script to import code that was not included in the original submission. Specifically, line ‘source(“Tutorial Source.R”)’ in the first code block. The missing code has been added to the updated appendix.
期刊介绍:
A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas.
MEE publishes methodological papers in any area of ecology and evolution, including:
-Phylogenetic analysis
-Statistical methods
-Conservation & management
-Theoretical methods
-Practical methods, including lab and field
-This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual.
A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.