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Bayesian Spatiotemporal Analysis of Radiocarbon Dates from Eastern Fennoscandia

Published online by Cambridge University Press:  18 July 2016

Päivi Onkamo*
Affiliation:
Department of Biosciences, University of Helsinki, Finland
Juhana Kammonen
Affiliation:
Department of Biosciences, University of Helsinki, Finland
Petro Pesonen
Affiliation:
Department of Biosciences, University of Helsinki, FinlandDepartment of Philosophy, History, Culture and Art Studies, University of Helsinki, Finland
Tarja Sundell
Affiliation:
Department of Biosciences, University of Helsinki, FinlandDepartment of Philosophy, History, Culture and Art Studies, University of Helsinki, Finland
Elena Moltchanova
Affiliation:
Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
Markku Oinonen
Affiliation:
Finnish Museum of Natural History, Dating Laboratory, University of Helsinki, Finland
Miikka Haimila
Affiliation:
National Board of Antiquities, Helsinki, Finland
Elja Arjas
Affiliation:
Department of Mathematics and Statistics, University of Helsinki, Finland
*
Corresponding author. Email: paivi.orikamo@helsinki.fi
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Abstract

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Archaeological phenomena, especially those that have been radiocarbon dated, can be utilized as indications of human activity and occupancy in space and time. 14C dates from archaeological contexts have been used as proxies for population history events in several recent studies (e.g. Gamble et al. 2005; Shennan and Edinborough 2007; Oinonen et al. 2010; Tallavaara et al. 2010; Pesonen et al. 2011). As a step towards a larger spatiotemporal modeling effort, we present examples of spatial distributions obtained using Bayesian methodology, analyzing all available archaeological 14C dates from the Stone Age (9000–1500 cal BC) in eastern Fennoscandia. The resulting maps follow the patterns of pioneer settlement in Finland beginning at ∼9000 cal BC and provide supporting evidence for the postulated population peak around 4000–3500 cal BC in Finland and the subsequent population decline.

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