2026-06-19T13:00:35Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/50022024-05-20T07:08:25Zcom_10259_3830com_10259_5086com_10259_2604col_10259_3832

00925njm 22002777a 4500 dc Briz i Godino, Ivan author Ahedo García, Virginia author Álvarez, Myrian author Pal, Nélida . author Turnes, Lucas . author Santos Martín, José Ignacio author Zurro, Débora author Caro Saiz, Jorge author Galán Ordax, José Manuel author 2018-10 The present work aims to quantitatively explore and understand the relationship between mobility types (nautical versus pedestrian), specific technological traits and shared technological knowledge in pedestrian hunter–gatherer and nautical hunter–fisher–gatherer societies from the southernmost portion of South America. To that end, advanced statistical learning techniques are used: state-of-the-art classification algorithms and variable importance analyses. Results show a strong relationship between technological knowledge, traits and mobility types. Occupations can be accurately classified into nautical and pedestrian due to the existence of a non-trivial pattern between mobility and a relatively small fraction of variables from some specific technological categories. Cases where the best-fitted classification algorithm fails to generalize are found significantly interesting. These instances can unveil lack of information, not enough entries in the training set, singular features or ambiguity, the latter case being a possible indicator of the interaction between nautical and pedestrian societies. 2054-5703 http://hdl.handle.net/10259/5002 10.1098/rsos.180906 Hunter–gatherer Statistical learning Shared technology Random forest Mobility Hunter–gatherer mobility and technological landscapes in southernmost South America: a statistical learning approach