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Spatial Statistical Analysis of Shipwreck Sites

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Detalhes bibliográficos
Resumo:Spatial statistical analysis is almost absent from research on underwater archaeological contexts. However, the information obtained using this approach would allow the reconstruction of depositional dynamics and the exploration of distribution patterns related to the ships’ on-board organization. This paper proposes a six-step methodology that will contribute to reducing the current gap in the use of spatial statistical analysis of shipwreck sites. This methodology will be tested in two distinct case studies, the Uluburun and the Tortugas wrecks, showing that the same protocol can be useful in the interpretation of different shipwrecks, in sites with a coherent distribution during their formation process. Using statistical tools, this methodology will strengthen context awareness, confirming, refuting, or adding new perspectives to previous interpretations. Finally, the way the framework was built will allow its replication in other sites.
Autores principais:Santos, Joel
Outros Autores:Bettencourt, José
Assunto:GIS Methodology Shipwreck Spatial statistics Underwater Archaeology
Ano:2023
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:Spatial statistical analysis is almost absent from research on underwater archaeological contexts. However, the information obtained using this approach would allow the reconstruction of depositional dynamics and the exploration of distribution patterns related to the ships’ on-board organization. This paper proposes a six-step methodology that will contribute to reducing the current gap in the use of spatial statistical analysis of shipwreck sites. This methodology will be tested in two distinct case studies, the Uluburun and the Tortugas wrecks, showing that the same protocol can be useful in the interpretation of different shipwrecks, in sites with a coherent distribution during their formation process. Using statistical tools, this methodology will strengthen context awareness, confirming, refuting, or adding new perspectives to previous interpretations. Finally, the way the framework was built will allow its replication in other sites.