Data pretreatment and multivariate analyses for ochre sourcing: Application to Leopard Cave (Erongo, Namibia) - Observatoire des sciences de l'univers Ecce Terra Accéder directement au contenu
Article Dans Une Revue Journal of Archaeological Science: Reports Année : 2021

Data pretreatment and multivariate analyses for ochre sourcing: Application to Leopard Cave (Erongo, Namibia)

Résumé

Usually referred to as ‘ochre’ or ‘pigment’ in archaeological contexts, ferruginous rocks were commonly exploited during the Later Stone Age in southern Africa. While ochre could lead to crucial inferences about socio-cultural behaviours of past populations, the provenance and the procurement strategies of this material in LSA contexts, as well as its association to rock art remain largely understudied. In the present study, seventeen ochre sources from five geological zones in north-central Namibia and 41 archaeological ochre pieces discovered in the stratigraphic sequence of the Later Stone Age site of Leopard Cave, Erongo Mountains - Namibia, were analysed by ICP-OES and ICP-MS/MS. Geochemical data coupled to data pre-treatment considerations and multivariate statistical analyses demonstrate that archaeological ochres were both collected locally and regionally from more distant sources. Beyond shedding new light on ochre provenance for rock art in north-central Namibia during the Later Stone Age, our data provide new insight into the mobility of past populations and the interactions existing between distinct rock art areas in north-central Namibia.
Fichier principal
Vignette du fichier
Mauran et al. 2021 -Preprint.pdf (1.05 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03608278 , version 1 (23-03-2022)

Identifiants

Citer

Guilhem Mauran, Benoît Caron, Florent Détroit, Alma Nankela, Jean-Jacques Bahain, et al.. Data pretreatment and multivariate analyses for ochre sourcing: Application to Leopard Cave (Erongo, Namibia). Journal of Archaeological Science: Reports, 2021, 35, pp.102757. ⟨10.1016/j.jasrep.2020.102757⟩. ⟨hal-03608278⟩
107 Consultations
127 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More