28 research outputs found
Notes on the statistical analysis of some loomweights from Pompeii
Recent work, in the field, on the dimensions and weights of loomweights from excavations in Insula VI.I, Pompeii suggested – to our surprise – that there was structure in the form of evidence of bi-modality in the weights. The paper has two purposes. One is to illustrate a variety of statistical methods that were used to confirm the validity of our observations. The other is to discuss what the archaeological implications of this might be. A more general point is that if more attention is given to what are often regarded as “uninteresting” artefacts some interesting results may emerge - specifically, it can be asked whether loomweights have chronological significance for interpreting archaeological sites (at Pompeii at least)
Notes on some statistical aspects of pottery quantification
The quantification of finds assemblages from excavations, as an aid to the comparative study of assemblages and sites, is a developing and increasingly important aspect of post-excavation analysis. In the area of pottery studies a major influence has been the work of Clive Orton and Paul Tyers, culminating in the recent release of the 'pie-slice' package for computer analysis. Much of the published literature is either highly technical, or of an expository nature which needs a great deal of the technical material and underlying assumptions to be taken on trust. The present paper is intended to be intermediate between these two levels. We address some of the more complex or less obvious issues involved in application of the pie-slice 'philosophy'. A worked example is given to highlight aspects of some of the assumptions and calculations involved. Some attention is given to what can be done outside the pie-slice package. One concern is the analysis of assemblages that have been quantified using estimated vessel equivalents (eves), but not in a manner that allows conversion to pottery information equivalents (pies) in the pie-slice package
Compositional data analysis in archaeometry
We shall call an n × p data matrix fully-compositional if the rows sum to a constant, and sub-compositional if the variables are a subset of a fully-compositional data set1. Such data occur widely in archaeometry, where it is common to determine the chemical composition of ceramic, glass, metal or other artefacts using techniques such as neutron activation analysis (NAA), inductively coupled plasma spectroscopy (ICPS), X-ray fluorescence analysis (XRF) etc. Interest often centres on whether there are distinct chemical groups within the data and whether, for example, these can be associated with different origins or manufacturing technologiesGeologische Vereinigung; Universitat de Barcelona, Equip de Recerca Arqueomètrica; Institut d’Estadística de Catalunya; International Association for Mathematical Geology; Patronat de l’Escola Politècnica Superior de la Universitat de Girona; Fundació privada: Girona, Universitat i Futur
Compositional data analysis of archaeological glass: problems and possible solutions
Presentation in CODAWORK'03, session 4: Applications to archeometryGeologische Vereinigung; Universitat de Barcelona, Equip de Recerca Arqueomètrica; Institut d’Estadística de Catalunya; International Association for Mathematical Geology; Patronat de l’Escola Politècnica Superior de la Universitat de Girona; Fundació privada: Girona, Universitat i Futur
Eating and drinking in Roman Britain
What were the eating and drinking habits of the inhabitants of Britain during the Roman period? Drawing on evidence from a large number of archaeological excavations, this fascinating 2006 study shows how varied these habits were in different regions and amongst different communities and challenges the idea that there was any one single way of being Roman or native. Integrating a range of archaeological sources, including pottery, metalwork and environmental evidence such as animal bone and seeds, this book illuminates eating and drinking choices, providing invaluable insights into how those communities regarded their world. The book contains sections on the nature of the different types of evidence used and how this can be analysed. It will be a useful guide to all archaeologists and those who wish to learn about the strength and weaknesses of this material and how best to use it
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Glass and fuel
This book, and the conference upon which it was based, were funded by: the Oxford Roman Economy Project (OxREP), University of Oxford; a private contribution from Jim Ball (former FAO forestry director, and Commonwealth forests director); the British School at Rome; and the Finnish Institute of Rome. The editors would also like to acknowledge the support of the McDonald Institute for Archaeological Research, and the Department of Archaeology (University of Sydney)
