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Kirstine Haase

Modelling time: Applying Bayesian statistics to the chronology of a medieval urban site in Denmark

Research output: Contribution to conferencePosterResearch

Radiocarbon dating is rarely used in Danish urban archaeology when trying to date events and create an absolute site chronology. Dendrochronology, coins finds and ceramics chronologies are considered to be more effective and precise tools. However, this can turn out to be problematic due to re-deposition of artefacts and reuse of timber. Therefore site chronologies often end up being relative and events being very broadly dated.
By applying Bayesian statistics on all available information from an excavation of a medieval urban site in Odense, Denmark, it has been possi¬ble to establish a more precise and detailed chronology of the overall settlement. It has also been possible to determine duration and pace of selected features and events.
Combined with a careful evaluation of the quality and statement value of the radio carbon samples the case shows the potential of building a detailed site chronology by combining stratigraphy, dendrochronology, datable artefacts and radiocarbon dating. The case also shows how the modelling process is a valuable tool in validating and reassessing the strati¬graphic interpretations and selecting new samples for additional radiocarbon dating.
The case is an example of how radiocarbon dating and Bayesian statistics is a valuable but, so far, underused tool in relation to complex urban stratigraphy in Danish archaeology.
Original languageEnglish
Publication year2018
Number of pages1
Publication statusPublished - 2018
EventThe 23rd International Radiocarbon Conference - Trondheim, Norway
Duration: 17 Jun 201822 Jun 2018
Conference number: 23


ConferenceThe 23rd International Radiocarbon Conference

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