Dating Coins, Dating With Coins

Lockyear, Kris

doi:10.1111/j.1468-0092.2012.00385.x

Cited by 26 publications

(7 citation statements)

References 30 publications

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“…Coinage has been treated as special or distinct from other classes of material, since coins are viewed as objects that have a higher value than others and are not considered to have been discarded through consumption or breakage (Lockyear , 195–197). That said, many other artefact classes face the same issues of retrieval, reuse and recycling, such as ceramics (in summary, see Peña , 319–352).…”

Section: Introductionmentioning

confidence: 99%

Quantifying artefacts over time: Interval estimation of a Poisson distribution using the Jeffreys prior

Collins-Elliott

2019

Archaeometry

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This paper presents a new method for estimating the amount of an artefact class in use at a given moment in the past from a random assemblage of archaeological finds. The method is based on the use of simulation, since an analytical solution is computationally impractical. Estimating the number of artefacts in use at any time t is shown to follow a Poisson distribution, which allows for credible intervals to be established using the Jeffreys prior. This estimator works from minimal assumptions about the dating and duration of finds, as well as the intensity of collection, and is applied to coinage from four Roman‐period sites excavated by the Roman Peasant Project (2009–14). The result provides an estimation of the abundance of material according to an interval of certainty.

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Section: Introductionmentioning

confidence: 99%

Quantifying artefacts over time: Interval estimation of a Poisson distribution using the Jeffreys prior

Collins-Elliott

2019

Archaeometry

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“…Frere and Witts (), however, rebutted Neal's arguments in the earlier of those two papers. Much of the dating relies on small numbers of coins, evidence that has been reviewed elsewhere (Lockyear, ).…”

Section: Verulamiummentioning

confidence: 99%

Under the Park. Recent Geophysical Surveys at Verulamium (St Albans, Hertfordshire, UK)

Lockyear

Shlasko²

2016

Archaeological Prospection

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This paper presents the first results of the geophysical surveysprincipally a large scale gradiometer surveyof Verulamium Park, St Albans, Hertfordshire, UK, under which lies approximately half of the Roman city. Verulamium was the third largest Roman city in the province of Britanniacovering some 81 haand the largest which is currently available for survey. Approximately 65 ha lies under parkland or pasture. The 30 ha available under the Park was the subject of a magnetometry survey in 2013-2014, along with smaller areas of ground penetrating radar (GPR), earth resistance and magnetic susceptibility. These surveys were undertaken as part of a community archaeology project funded by the Arts and Humanities Research Council (AHRC). The surveys have detected a wide variety of features including stone buildings of varying size and complexity, pottery kilns, roads, pits and ditches. The results so far suggest the town can be divided into an area of largely elite housing, an area characterised by smaller structures and industrial features, and a somewhat enigmatic magnetically quiet area. Challenges in the interpretation of the results are discussed, as are potential solutions and planned future work.

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“…Numismatists have created quite complex sequences entirely manually (e.g., Crawford 1969Crawford , 1974 and I am only aware of one attempt to use a statistical method to seriate coin types (Backendorf & Zimmermann 1997). Conversely, archaeologists are generally blissfully unaware of the complexities of dating coins, despite often relying on them for dating their sites (Lockyear 2012). How accurately coins can be assigned a date of manufacture varies considerably from one series of coins to another.…”

Section: Introductionmentioning

confidence: 99%

Simulation, Seriation and the Dating of Roman Republican Coins

Lockyear

2022

Journal of Computer Applications in Archaeology

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Seriation was one of the earliest applications of computers to an archaeological problem. Despite the origins of the technique in numismatics, the vast majority of coinage studies manually sequence coin hoards and issues. For many periods, the coin designs or legends can be used to provide a date. For the Republican series, however, detailed sequences rely on the use of coin hoard data. In recent years, Correspondence Analysis has become the de facto seriation routine of choice. For coinage studies, however, where the period of manufacture was very short, a successful seriation would leave one triangle empty in the re-arranged matrix rather than concentrating the largest values on the diagonal as would be the aim in other situations. The aim of this paper is to assess the effectiveness of various easily-available off-the-shelf opensource seriation routines that have been used in archaeology for the analysis of this type of data. Given that we know a great deal about the pattern of production of Republican coinage, it is possible to create simulated coin hoard assemblages to test the various seriation routines and assess which technique is likely to provide the most successful results. This paper presents the results of applying 14 seriation methods to 27 simulated coin hoard data sets, and discusses the results.

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Dating Coins, Dating With Coins

Cited by 26 publications

References 30 publications

Quantifying artefacts over time: Interval estimation of a Poisson distribution using the Jeffreys prior

Quantifying artefacts over time: Interval estimation of a Poisson distribution using the Jeffreys prior

Under the Park. Recent Geophysical Surveys at Verulamium (St Albans, Hertfordshire, UK)

Simulation, Seriation and the Dating of Roman Republican Coins

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