Using lineups to evaluate goodness of fit of animal movement models

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-05-12 DOI:10.1111/2041-210X.14336
John Fieberg, Smith Freeman, Johannes Signer
{"title":"Using lineups to evaluate goodness of fit of animal movement models","authors":"John Fieberg,&nbsp;Smith Freeman,&nbsp;Johannes Signer","doi":"10.1111/2041-210X.14336","DOIUrl":null,"url":null,"abstract":"<p>\n \n </p>","PeriodicalId":208,"journal":{"name":"Methods in Ecology and Evolution","volume":"15 6","pages":"1048-1059"},"PeriodicalIF":6.3000,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/2041-210X.14336","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.14336","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

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用排列组合评估动物运动模型的拟合度
运动模型经常被拟合到动物位置数据中,以了解个体如何响应当地环境特征并与之相互作用。目前有几种开源软件包可用于分析动物运动,并能促进参数估计,但可用来评估模型拟合优度的方法相对较少。我们介绍了如何使用一种简单的图形技术--阵容协议来评估综合阶跃选择分析和隐马尔可夫模型的拟合度,但这种方法的应用范围要广泛得多。我们利用拟合模型模拟数据的能力,并使用综合阶跃选择分析和隐马尔可夫模型对渔夫(Pekania pennanti)数据进行了演示。可以使用各种响应和运动指标来评估模型,还可以对排查方案进行定制,以重点关注特定的模型假设或主要关注的运动特征。虽然可以使用正式的假设检验来评估统计意义,但该方法也可以以更具探索性的方式使用(例如,在随机模拟中探索模型行为的变异性或确定模型可以改进的地方)。我们提供了编码示例和小故事来展示该方法的灵活性。我们鼓励运动生态学家在选择适当的图形响应以评估拟合度时,考虑如何应用他们的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
11.60
自引率
3.00%
发文量
236
审稿时长
4-8 weeks
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.
期刊最新文献
Cover Picture and Issue Information Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery Spatially explicit predictions using spatial eigenvector maps SimpleMetaPipeline: Breaking the bioinformatics bottleneck in metabarcoding A LiDAR-driven pruning algorithm to delineate canopy drainage areas of stemflow and throughfall drip points
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1