Maarten Blaauw, Marco Aquino-López, J. Andrés Christen
{"title":"Modelling chronologically ordered radiocarbon dates in R","authors":"Maarten Blaauw, Marco Aquino-López, J. Andrés Christen","doi":"10.1017/rdc.2024.56","DOIUrl":null,"url":null,"abstract":"Studies with multiple radiocarbon dates often contain useful information on the relative locations of the dated levels. Such information can be used to obtain robust, integrated site chronologies, with at times more precise ages than those of the individual dates, where outliers can be identified and downweighted, and where the ages of any undated levels can also be estimated. Examples include trees with radiocarbon dates separated by exactly known amounts of yearly tree-rings, or sedimentary sites where ages further down the stratigraphy can be assumed to be older than ages further up. Here we present <jats:italic>coffee</jats:italic>, an R package for Bayesian models that apply <jats:italic>c</jats:italic>hronological <jats:italic>o</jats:italic>rdering <jats:italic>f</jats:italic>or <jats:italic>f</jats:italic>ossils and <jats:italic>e</jats:italic>nvironmental <jats:italic>e</jats:italic>vents. <jats:italic>Coffee</jats:italic> runs natively within the popular and versatile R environment, with no need for importing or exporting data or code from other programs, and works with plain-text input files that are relatively easy to read and write. It thus provides a new, transparent and adaptable educational and research platform designed to make chronology building more accessible.","PeriodicalId":21020,"journal":{"name":"Radiocarbon","volume":"90 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiocarbon","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1017/rdc.2024.56","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
Studies with multiple radiocarbon dates often contain useful information on the relative locations of the dated levels. Such information can be used to obtain robust, integrated site chronologies, with at times more precise ages than those of the individual dates, where outliers can be identified and downweighted, and where the ages of any undated levels can also be estimated. Examples include trees with radiocarbon dates separated by exactly known amounts of yearly tree-rings, or sedimentary sites where ages further down the stratigraphy can be assumed to be older than ages further up. Here we present coffee, an R package for Bayesian models that apply chronological ordering for fossils and environmental events. Coffee runs natively within the popular and versatile R environment, with no need for importing or exporting data or code from other programs, and works with plain-text input files that are relatively easy to read and write. It thus provides a new, transparent and adaptable educational and research platform designed to make chronology building more accessible.
有多个放射性碳年代的研究往往包含有关年代层相对位置的有用信息。这些信息可以用来获得可靠的、综合的遗址年代学,有时比单个日期的年代更精确,可以识别离群值并降低其权重,还可以估算出未定年级的年代。例如,有的树木的放射性碳年代与已知的年轮数量相隔很远,有的沉积遗址的地层下层的年代可以假定比上层的年代要早。在此,我们将介绍用于贝叶斯模型的 R 软件包 coffee,该模型可对化石和环境事件进行年代排序。Coffee 可在广受欢迎的多功能 R 环境中本地运行,无需从其他程序导入或导出数据或代码,并可使用相对容易读写的纯文本输入文件。因此,它提供了一个全新的、透明的、适应性强的教育和研究平台,旨在使编年史的构建更易于使用。
期刊介绍:
Radiocarbon serves as the leading international journal for technical and interpretive articles, date lists, and advancements in 14C and other radioisotopes relevant to archaeological, geophysical, oceanographic, and related dating methods. Established in 1959, it has published numerous seminal works and hosts the triennial International Radiocarbon Conference proceedings. The journal also features occasional special issues. Submissions encompass regular articles such as research reports, technical descriptions, and date lists, along with comments, letters to the editor, book reviews, and laboratory lists.