Applying bootstrapped Correspondence Analysis to archaeological data

Lockyear, Kris

doi:10.1016/j.jas.2012.08.035

Cited by 27 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Clearly, small issues will be harder to place within a sequence than larger issues. One method by which we can assess uncertainty would be to use bootstrapped CA (Lockyear 2013).…”

Section: Dealing With Uncertaintymentioning

confidence: 99%

Simulation, Seriation and the Dating of Roman Republican Coins

Lockyear

2022

Journal of Computer Applications in Archaeology

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…Clearly, small issues will be harder to place within a sequence than larger issues. One method by which we can assess uncertainty would be to use bootstrapped CA (Lockyear 2013).…”

Section: Dealing With Uncertaintymentioning

confidence: 99%

Simulation, Seriation and the Dating of Roman Republican Coins

Lockyear

2022

Journal of Computer Applications in Archaeology

Self Cite

View full text Add to dashboard Cite

show abstract

“…Quantitative approaches for assemblage analysis still tend to focus, however, on either specific artefact subsets (e.g., Baxter, Beardah, et al 2005;Baxter & Cool 1995;Baxter & Freestone 2003;Madgwick & Mulville 2015) or are mainly concerned with inter-site and regional comparisons of complete site assemblages (e.g., Bevan & Conolly 2009;Lockyear 2013;Peeples & Schachner 2012). The former is largely used for later-stage analyses of subsets of assemblages, while regional analyses generalize typeclasses or other diagnostics as a site's complete assemblage profile.…”

Section: Motivation and Backgroundmentioning

confidence: 99%

Sets, Graphs, and Things We Can See: A Formal Combinatorial Ontology for Empirical Intra-Site Analysis

Cardinal

2019

Journal of Computer Applications in Archaeology

View full text Add to dashboard Cite

A critical aspect of analysing an archaeological site is identifying the network of relationships between the things we find and the locations where we find them. These associations are typically determined by a combination of quantitative analyses and the professional knowledge and intuition of the archaeologist, but where exactly is the boundary between what is truly empirical field data and what is inferred through our prior knowledge and field methods? How can we best support those inferences? This paper is a critical evaluation of that boundary to firmly ground, as much as possible, a quantitative analysis on only that which we can directly observe-the thing and its location-and derive associations from that basis alone. To do so, the approach described here relies on a combination of set and graph theories rather than statistical or spatial methods. This revised ontology allows a formalization, in combinatorial terms, for describing an underlying structure to contexts and assemblages that suggests a clear association between archaeological site analysis and a well-studied class of set and graph covering problems. This, in turn, points towards potential algorithmic solutions for a more holistic parsing of the total relationships between sites, contexts, assemblages, proveniences, and artefacts.

show abstract

“…Chemometric methods are a useful tool for the characterization of the geographical origin, although there are few studies applied to pollen data . For example, correspondence analysis (CA) is a type of chemometric statistical analysis that has been applied in many fields but not yet in melissopalynological studies.…”

Section: Introductionmentioning

confidence: 99%

A chemometric approach: characterization of quality and authenticity of artisanal honeys from Argentina

Ríos

Sánchez

Lobo

et al. 2014

Journal of Chemometrics

View full text Add to dashboard Cite

The demand of honey with defined quality has increased around the world; therefore, an adequate description of the traceability and authenticity of honeys is necessary. The pollen and physicochemical characteristics of 58 honey samples collected from five different environmental units (EUs) of the Jujuy province (Argentine) were determined, in order to differentiate them by geographical origin through the application of chemometric methods. A qualitative pollen analysis was performed by microscopy. The physicochemical characteristics were determined by Association of Official Analytical Chemists methods. Correspondence analysis (CA), principal component analysis (PCA) and linear discriminant analysis (LDA) were performed. Forty‐five per cent of honeys were monofloral; nearly half of them correspond to native species—among which, Salix humboldtiana, Baccharis sp. and Ziziphus mistol stood out. Physicochemical and microbiological analysis showed acceptable quality for honeys. CA characterized significantly honeys from four different EUs using all pollen data. While forward stepwise coupled to LDA identified 14 significant variables to build a discriminatory model with three significant discriminant functions, a cumulative variance of 94% was reached. Thus, 86% of the samples were correctly classified. PCA and LDA applied to physicochemical data allowed to distinguish three different groups with a significant function (p < 0.01) that explained 90% of the total variability. Honey corresponding to EU III Subandean Hills of Santa Bárbara was the most accurately classified by pollen and physicochemical data. The application of chemometric methods to pollen data and physicochemical parameters may be a useful tool to determine honey geographical origin. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Applying bootstrapped Correspondence Analysis to archaeological data

Cited by 27 publications

References 9 publications

Simulation, Seriation and the Dating of Roman Republican Coins

Simulation, Seriation and the Dating of Roman Republican Coins

Sets, Graphs, and Things We Can See: A Formal Combinatorial Ontology for Empirical Intra-Site Analysis

A chemometric approach: characterization of quality and authenticity of artisanal honeys from Argentina

Contact Info

Product

Resources

About