Radiolarite provenance using machine learning methods as a tool for understanding Palaeolithic human mobility
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00094862%3A_____%2F25%3A10001217" target="_blank" >RIV/00094862:_____/25:10001217 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/25:73633563
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2352409X25001397?dgcid=author" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352409X25001397?dgcid=author</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jasrep.2025.105107" target="_blank" >10.1016/j.jasrep.2025.105107</a>
Alternative languages
Result language
angličtina
Original language name
Radiolarite provenance using machine learning methods as a tool for understanding Palaeolithic human mobility
Original language description
Elemental analysis of radiolarite samples from Central Europe was performed to estimate their provenance andto track the mobility of Upper Palaeolithic hunter-gatherers in Moravia (Czech Republic). The methods usedwere portable X-ray fluorescence spectrometry (pXRF) and laser ablation inductively coupled plasma mass spectrometry(LA-ICP-MS). The primary aim of provenance studies is to distinguish between different possiblesources, such as radiolarite outcrops. To address this problem, we created a training set for classification algorithms,including Linear Discriminant Analysis (LDA) and Random Forest (RF), based on geological samples fromthe outcrops. The classified geological samples were then used in an archaeological case study involving lithicartefacts from the Aurignacian site at Nová Dědina I (Czech Republic), mapping these artefacts to specific radiolariteoutcrops. This approach allowed us to trace a particular hunter-gatherer mobility pattern during the earlyUpper Palaeolithic.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
60102 - Archaeology
Result continuities
Project
<a href="/en/project/GA22-05547S" target="_blank" >GA22-05547S: Reconstruction of Upper Palaeolithic mobility through provenience study of radiolarite artefacts</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of archaeological science: Reports
ISSN
2352-409X
e-ISSN
—
Volume of the periodical
63
Issue of the periodical within the volume
May
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
nestránkováno
UT code for WoS article
001462456600001
EID of the result in the Scopus database
—