Bevan, AH; Conolly, J; Hennig, C; Johnston, AW; Quercia, A; Spencer, L; Vroom, J; (2013) Measuring chronological uncertainty in intensive survey finds. A case study from Antikythera, Greece. Archaeometry , 55 (2 ) pp. 312-328. 10.1111/j.1475-4754.2012.00674.x.
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This paper considers how to make the most out of the rather imprecise chronological knowledge that we often have about the past. We focus here on the relative dating of artefacts during archaeological fieldwork, with particular emphasis on new ways to express and analyse chronological uncertainty. A probabilistic method for assigning artefacts to particular chronological periods is advocated and implemented for a large pottery dataset from an intensive survey of the Greek island of Antikythera. We also highlight several statistical methods for exploring how uncertainty is shared amongst different periods in this dataset and how these observed associations can prompt more sensitive interpretations of landscape-scale patterns. The concluding discussion re-emphasises why these issues are relevant to wider methodological debates in archaeological field practice.
|Title:||Measuring chronological uncertainty in intensive survey finds. A case study from Antikythera, Greece|
|Open access status:||An open access version is available from UCL Discovery|
|Additional information:||This is the pre-peer reviewed version of the following article: Bevan, AH and Conolly, J and Hennig, C and Johnston, AW and Quercia, A and Spencer, L and Vroom, J (2012) Measuring chronological uncertainty in intensive survey finds. A case study from Antikythera, Greece. Archaeometry (In press), which will be published in final form at http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291475-4754 Article available online 14 March 2012 as an 'Early View' (online version of record published before inclusion in an issue)|
|UCL classification:||UCL > School of Arts and Social Sciences > Faculty of Social and Historical Sciences > Institute of Archaeology|
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science
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