Show simple item record

dc.contributor.authorCrema, Enricoen
dc.contributor.authorBevan, Aen
dc.contributor.authorShennan, Sen
dc.date.accessioned2018-01-29T16:08:53Z
dc.date.available2018-01-29T16:08:53Z
dc.identifier.issn0305-4403
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/271295
dc.description.abstractSummed probability distributions of radiocarbon dates are an increasingly popular means by which to reconstruct prehistoric population dynamics, enabling more thorough cross-regional comparison and more robust hypothesis testing, for example with regard to the impact of climate change on past human demography. Here we review another use of such summed distributions – to make spatially explicit inferences about geographic variation in prehistoric populations. We argue that most of the methods proposed so far have been strongly biased by spatially varying sampling intensity, and we therefore propose a spatial permutation test that is robust to such forms of bias and able to detect both positive and negative local deviations from pan-regional rates of change in radiocarbon date density. We test our method both on some simple, simulated population trajectories and also on a large real-world dataset, and show that we can draw useful conclusions about spatio-temporal variation in population across Neolithic Europe.
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectsummed probability distribution of radiocarbon datesen
dc.subjectprehistoric demographyen
dc.subjectspatial analysisen
dc.subjectEuropean Neolithic simulationen
dc.titleSpatio-temporal approaches to archaeological radiocarbon datesen
dc.typeArticle
prism.endingPage9
prism.publicationNameJournal of Archaeological Scienceen
prism.startingPage1
prism.volume87en
dc.identifier.doi10.17863/CAM.18276
dcterms.dateAccepted2017-09-04en
rioxxterms.versionofrecord10.1016/j.jas.2017.09.007en
rioxxterms.versionAM*
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2017-09-04en
dc.contributor.orcidCrema, Enrico [0000-0001-6727-5138]
dc.identifier.eissn1095-9238
rioxxterms.typeJournal Article/Reviewen
cam.issuedOnline2017-09-17en
rioxxterms.freetoread.startdate2018-09-17


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-NoDerivatives 4.0 International