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The interpretation of multielemental INAA data using pattern recognition methods

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Abstract

Three hundred ancient Turkish potsherds were analyzed by instrumental neutron activation analysis, and the resulting data analyzed by several techniques of multivariate statistical analysis, some only recently developed. The programs AGCLUS, MASLOC, and SIMCA were sequentially employed to characterize and group the samples by type of pottery and by site of excavation or collection. Comparison of the statistical analyses by each method provided archaeological insight into the site/type relationships of the samples and ultimately evidence relevant to commercial relations between the ancient communities and to specialization of pottery production over time. The techniques used for statistical analysis were found to be of significant potential utility in the future analysis of other archaeometric data sets.

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Authors and Affiliations

  1. Institute for Environmental Studies and Nuclear Engineering Program, University of Illinois, 1005 W. Western Avenue, 61801, Urbana, IL, (USA)

    Ph. K. Hopke & R. C. Martin

  2. The Oriental Institute University of Chicago, 1155 East 58th Street, 60637, Chicago, IL, (USA)

    M. A. Evins

Authors
  1. Ph. K. Hopke
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  2. R. C. Martin
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  3. M. A. Evins
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Hopke, P.K., Martin, R.C. & Evins, M.A. The interpretation of multielemental INAA data using pattern recognition methods. Journal of Radioanalytical and Nuclear Chemistry, Articles 112, 215–222 (1987). https://doi.org/10.1007/BF02037292

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  • DOI: https://doi.org/10.1007/BF02037292

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