Scythian Culture burial complexes of the Dnipro Left‐bank forest steppe: A multivariate analysis.
This paper deals with the application of multivariate analysis to the classification of Scythian Culture burials of the Dnipro Left‐bank forest‐steppe region. Six types of burial complexes have been distinguished based on the analysis of a burial chamber, its orientation and grave goods set composit...
| Publicado en: | Archaeometry Vol. 63; no. 5; pp. 1105 - 1121 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Oct2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=152209537&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 152209537 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 0003813X D7X jtl: Archaeometry issn: 0003813X maglogo: Y pubinfo: dt: Oct2021 vid: 63 iid: 5 pid: 480 pub: Wiley-Blackwell artinfo: ui: 152209537 10.1111/arcm.12665 ppf: 1105 ppct: 16 formats: tig: atl: Scythian Culture burial complexes of the Dnipro Left‐bank forest steppe: A multivariate analysis. aug: au: Korokhina, A. V. Grechko, D. S. affil: Institute of Archaeology, National Academy of Sciences of Ukraine, Kyiv, Ukraine su: Multivariate analysis Steppes Grave goods Random forest algorithms Cluster analysis (Statistics) sug: subj: Multivariate analysis Steppes Grave goods Random forest algorithms Cluster analysis (Statistics) keyword: burial cluster analysis Early Iron Age Eastern Europe multivariate analysis principal component analysis Scythian Culture ab: This paper deals with the application of multivariate analysis to the classification of Scythian Culture burials of the Dnipro Left‐bank forest‐steppe region. Six types of burial complexes have been distinguished based on the analysis of a burial chamber, its orientation and grave goods set composition. In order to reveal probable trends, the impact of spatial, chronological and ethnic–social factors on the distribution of the analysed parameters was investigated. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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