Modelling chronologically ordered radiocarbon dates in R
Bibliographic Data
| ID | 9243012 |
|---|---|
| Authors | Martijn Blaauw (0000-0002-5680-1515, Queen's University Belfast), Marco A Aquino‐lópez (0000-0002-5076-7205, University of Cambridge), J Andrés Christen (0000-0002-5795-4345, Centro de Investigación en Matemáticas CIMAT) |
| Year | 2024 |
| Volume | 68 |
| Issue | 1 |
| Pages | 1-11 |
| Publication date | 2024-09-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Radiocarbon (JOURNAL) |
| Journal identifiers | ISSN: 0033-8222 • E-ISSN: 1945-5755 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/rdc.2024.56 |
| OpenAlex | W4402607759 |
| Language | EN |
| Citations received | 2 |
| References cited | 27 |
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 c hronological o rdering f or f ossils and e nvironmental e vents. 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
Absolute dating · Archaeology · Cenozoic · Geochemistry · Geochronology · Mineralogy · Radiocarbon dating · History · Image Processing and 3D Reconstruction · Geology · Paleontology
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Comment on ‘The Use of Bayesian Statistics for 14 C Dates of Chronologically Ordered Samples
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The Use of Bayesian Statistics for 14 C Dates of Chronologically Ordered Samples
Development of the Radiocarbon Calibration Program
Marine20—The Marine Radiocarbon Age Calibration Curve (0–55,000 cal BP)
A New Robust Statistical Model for Radiocarbon Data
Atmospheric Radiocarbon for the Period 1950–2019
Dealing with Outliers and Offsets in Radiocarbon Dating
Radiocarbon Calibration and Analysis of Stratigraphy
Rolling Out Revolution
Bayesian Analysis of Radiocarbon Dates
Wiggle Matching’ Radiocarbon Dates
Inference From Large Sets of Radiocarbon Dates
The Comparison of 14 C Wiggle-Matching Results for the ‘Floating’ Tree-Ring Chronology of the Ulandryk-4 Burial Ground (Altai Mountains, Siberia)
SHCal20 Southern Hemisphere Calibration, 0–55,000 Years cal BP
The IntCal20 Northern Hemisphere Radiocarbon Age Calibration Curve (0–55 cal kBP)
Combining archaeological and radiocarbon information
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |