Radiolarite provenance using machine learning methods as a tool for understanding Palaeolithic human mobility

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989592:15310/25:73633563

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Radiolarite provenance using machine learning methods as a tool for understanding Palaeolithic human mobility

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Radiolarite provenance using machine learning methods as a tool for understanding Palaeolithic human mobility

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

60102 - Archaeology

Projekt

<a href="/cs/project/GA22-05547S" target="_blank" >GA22-05547S: Rekonstrukce mobility v mladém paleolitu na základě provenience radiolaritových artefaktů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of archaeological science: Reports

ISSN

2352-409X

e-ISSN

—

Svazek periodika

63

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

nestránkováno

Kód UT WoS článku

001462456600001

EID výsledku v databázi Scopus

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