Reply to Vermeersch’s comment on Hoebe et al. 2023. Parsing prehistoric patterns

Pir Hoebe*, Hans Peeters, Stijn Arnoldussen

*Corresponding author for this work

Research output: Contribution to journalComment/Letter to the editorAcademicpeer-review

1 Citation (Scopus)
67 Downloads (Pure)

Abstract

Discussion of concerns around data quality/reliability in dates-as-data approaches.
Open radiocarbon datasets often lack contextual data or information on reliability.
Aggregating large amounts of radiocarbon dates will require the acceptance of noise.
Dataset vetting has little impact on the overall pattern and significant deviations from null models.
Exponential and climate modeltests still demonstrate fluctuations in human activity that appear to correlate with climate events.
Original languageEnglish
Article number104229
Number of pages4
JournalJournal of Archaeological Science: Reports
Volume52
DOIs
Publication statusPublished - Dec-2023

Keywords

  • big data
  • vetting
  • climate model
  • Archaeology

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