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Clustering of calibrated radiocarbon dates: Site-specific chronological sequences identified by dense radiocarbon sampling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985912%3A_____%2F21%3A00545419" target="_blank" >RIV/67985912:_____/21:00545419 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11210/20:10421206

  • Result on the web

    <a href="https://doi.org/10.1017/RDC.2020.129" target="_blank" >https://doi.org/10.1017/RDC.2020.129</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1017/RDC.2020.129" target="_blank" >10.1017/RDC.2020.129</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Clustering of calibrated radiocarbon dates: Site-specific chronological sequences identified by dense radiocarbon sampling

  • Original language description

    Calibrated radiocarbon (C-14) determinations are commonly used in archaeology to assign calendar dates to a site's chronological phases identified based on additional evidence such as stratigraphy. In the absence of such evidence, we can perform dense C-14 sampling of the site to attempt to identify periods of heightened activity, separated by periods of inactivity, which correspond to archaeological phases and gaps between them. We propose a method to achieve this by hierarchical cluster analysis of the calibrated C-14 dates, followed by testing of the different clustering solutions for consistency based on silhouette coefficient and statistical significance using randomization. Separate events identified in such a way can then be regarded as evidence for distinct phases of activity and used to construct a site-specific sequence. This can be in turn used as a Bayesian prior to further narrow down the distributions of the calibrated C-14 dates. We assessed the validity of the method using simulated data as well as real-life archaeological data from the Bronze Age settlement of Troy. A Python implementation of the method is available online at https://github.com/demjanp/clustering_14C.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    60102 - Archaeology

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000728" target="_blank" >EF16_019/0000728: Ultra-trace isotope research in social and environmental studies using accelerator mass spectrometry</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Radiocarbon

  • ISSN

    0033-8222

  • e-ISSN

    1945-5755

  • Volume of the periodical

    63

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    10

  • Pages from-to

    429-438

  • UT code for WoS article

    000637332900003

  • EID of the result in the Scopus database

    2-s2.0-85103858167