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Modelling <strong>Bantu</strong> dispersals: using spatial simulati<strong>on</strong>s to interpret a new radiocarb<strong>on</strong> database of<br />

early agricultural settlement in sub‐Saharan Africa.<br />

Thembi Russell 1 , Fabio Silva 2 and James Steele 1,2<br />

1 School of Geography, Archaeology & Envir<strong>on</strong>mental Studies, University of the Witwatersrand, Wits<br />

2050, South Africa<br />

2 Institute of Archaeology, University College L<strong>on</strong>d<strong>on</strong>, 31‐34 Gord<strong>on</strong> Square, L<strong>on</strong>d<strong>on</strong> WC1H 0PY, UK.<br />

We report a new compilati<strong>on</strong> of radiocarb<strong>on</strong> dates from sites associated with the expansi<strong>on</strong> of<br />

farming societies in sub‐Saharan Africa. We use spatial statistics and simulati<strong>on</strong> modelling to<br />

rec<strong>on</strong>struct routes and rates of spread. We derive a set of modelled populati<strong>on</strong> phylogenies for<br />

alternative dispersal scenarios, which can be compared to cultural and linguistic phylogenies<br />

rec<strong>on</strong>structed from other data sources. We illustrate the potential of this approach by comparing<br />

our modelled dispersal histories (estimated from radiocarb<strong>on</strong> dates) to published <strong>Bantu</strong> language<br />

phylogenies.<br />

WS3

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