Ontology highlight
ABSTRACT:
SUBMITTER: Pellegrini M
PROVIDER: S-EPMC5054518 | biostudies-literature | 2016 Oct
REPOSITORIES: biostudies-literature
Pellegrini Maura M Pouncett John J Jay Mandy M Pearson Mike Parker MP Richards Michael P MP
Scientific reports 20161007
A geostatistical model to predict human skeletal oxygen isotope values (δ<sup>18</sup>O<sub>p</sub>) in Britain is presented here based on a new dataset of Chalcolithic and Early Bronze Age human teeth. The spatial statistics which underpin this model allow the identification of individuals interpreted as 'non-local' to the areas where they were buried (spatial outliers). A marked variation in δ<sup>18</sup>O<sub>p</sub> is observed in several areas, including the Stonehenge region, the Peak Dis ...[more]