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The Late Glacial human reoccupation of north-western Europe: new approaches to space-time modelling

Published online by Cambridge University Press:  02 January 2015

Paul G. Blackwell  and
Caitlin E. Buck
Paul G. Blackwell
Affiliation:
Department of Probability and Statistics, University of Sheffield, Hicks Building, Hounsfield Road, Sheffield S3 7RH (1 Email: [email protected]; 2 Email: [email protected])
Caitlin E. Buck
Affiliation:
Department of Probability and Statistics, University of Sheffield, Hicks Building, Hounsfield Road, Sheffield S3 7RH (1 Email: [email protected]; 2 Email: [email protected])
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Abstract

How and when was northern Europe reoccupied at the end of the last Ice Age? Radiocarbon dates from the earliest post-glacial contexts provide one answer: they offer a sequence in which the regions of Europe, from the Upper Rhine to Britain, saw the return of humans. The authors use Bayesian methods to model a chronology and thus arrive at a sequence with clear assessments of uncertainty.

Keywords

Northern EuropeUpper PalaeolithicsettlementcolonisationmodellingBayesian inference
Type
Research
Information
Antiquity , Volume 77 , Issue 296 , June 2003 , pp. 232 - 240
Copyright
Copyright © Antiquity Publications Ltd. 2003

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References

AMMERMAN, A.J. & CAVALLI-SFORZA., L.L. 1971. Measurement of the rate of spread of early farming in Europe. Man 6:674—688.Google Scholar
AMMERMAN, A.J. & CAVALLI-SFORZA., L.L.—1984. The Neolithic transition and the genetics of populations in Europe. Princeton University Press, Princeton, New Jersey.Google Scholar
BLACKWELL, P.G. & BUCK., C.E. 2001. Integrating spatial and temporal information from the Late Glacial human reoccupation of North Western Europe. Department of Probability and Statistics Research Report 508/01, University of Sheffield.Google Scholar
BLOCKLEY, S.P.E. DONAHUE, R.E. & POLLARD., A.M. 2000. Radiocarbon calibration and the Late Glacial occupation of northwest Europe. Antiquity, 74:112—119.Google Scholar
BUCK, C.E. CAVANAGH, W.G. & LITTON., C.D. 1996. The Bayesian Approach to Interpreting Archaeological Data. Wiley, Chichester.Google Scholar
BUCK, C.E. CHRISTEN, J.A. & JAMES., G.N. 1999. BCal: an on-line Bayesian radiocarbon calibration tool. Internet Archaeology, 7. (http://intarch.ac.uk/ journal/issue7/buck/).Google Scholar
HOUSLEY, R.A. GAMBLE, C.S. & PETTITT., P. 2000. Reply to Blockley, Donahue and Pollard. Antiquity, 74:119—121.Google Scholar
HOUSLEY, R.A. GAMBLE, C.S. STREET, M. & PETTITT., P. 1997. Radiocarbon evidence for the Lateglacial Human Recolonisation of Northern Europe. Proceedings of the Prehistoric Society 63:25—54.Google Scholar
NEEDHAM, S. RAMSEY, C.B. Coombs, D. CARTWRIGHT, C. & PETTITT., P. 1997. An independent chronology for British Bronze Age metalwork: the results of the Oxford Radiocarbon Accelerator programme. Archaeological Journal 154:55—107.Google Scholar
RAMSEY, C.B. 1995. Radiocarbon calibration and analysis of stratigraphy: the OxCal program. Radiocarbon, 37(2):425—30.Google Scholar
RAMSEY, C.B. 2000. OxCalProgram v3.5 Manual. (http://www.rlaha.ox.ac.uk/oxcal/ arch_cmb.htm#sum).Google Scholar
STEELE, J. ADAMS, J. & SLUCKIN., T. 1998. Modelling Paleoindian dispersals (Paleoecology and human populations). World Archaeology 30(2):286—305.Google Scholar
STUIVER, M. REIMER, P.J. BARD, E. Beck, J.W. BURR, G.S. HUGHEN, K.A. KROMER, B. MCCORMAC, F.G. PLICHT, J.V.D. & SPURK., M. 1998. INTCAL98 radiocarbon age calibration, 24,000 - 0 cal BP. Radiocarbon, 40:1041—1083.Google Scholar
ZEIDLER, J.A. BUCK, C.E. & LITTON, C.D. 1998. The integration of archaeological phase information and radiocarbon results from the Jama River Valley, Ecuador: a Bayesian approach. Latin American Antiquity 9(2):135—159.Google Scholar