Field spectroscopy in geoarchaeology – A comparative investigation of quartz and quartzite quarries and stone implements

Spectroscopy provides a new proxy for reconstructing prehistoric raw-material procurement, mobility, and inter-settlement interaction, through linking archaeological stone tools to specific quarry sources. In this paper, spectral responses have been analyzed using chemometric methods, particularly principal component analysis (PCA) and t-distribution stochastic neighbour embedding (t-SNE), to capture meaningful differences between quartz and quartzite raw materials and to analyse possible relationships between archaeological stone tool assemblages and quarries. Field adapted near infrared reflectance (NIR) spectroscopy and X-ray fluorescence (XRF) instruments have been used to analyse prehistoric quartz and quartzite quarries in inland Västerbotten (Sweden), and the collected spectral data were compared with tool assemblages from curated archaeological collections. Despite challenges inherent to field sampling, the combined spectroscopic approach reliably differentiates raw material groups, demonstrating its suitability for archaeological prospection and excavation. These findings underscore the value of integrating spectroscopy into routine fieldwork, providing a modern analytical toolkit that expands the interpretive potential of archaeological fieldwork.

Authors

Institutions

Publication Details

Journal
Journal of Near Infrared Spectroscopy
Published
2026-06-26
DOI
https://doi.org/10.1177/09670335261459245
Primary Topic
Cultural Heritage Materials Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Field spectroscopy in geoarchaeology – A comparative investigation of quartz and quartzite quarries and stone implements

Paul J. Williams, Johan Linderholm, Mats G. Eriksson
Journal of Near Infrared Spectroscopy
Cultural Heritage Materials Analysis
article

Field spectroscopy in geoarchaeology – A comparative investigation of quartz and quartzite quarries and stone implements

Paul J. Williams, Johan Linderholm, Mats G. Eriksson
article en

Abstract

Spectroscopy provides a new proxy for reconstructing prehistoric raw-material procurement, mobility, and inter-settlement interaction, through linking archaeological stone tools to specific quarry sources. In this paper, spectral responses have been analyzed using chemometric methods, particularly principal component analysis (PCA) and t-distribution stochastic neighbour embedding (t-SNE), to capture meaningful differences between quartz and quartzite raw materials and to analyse possible relationships between archaeological stone tool assemblages and quarries. Field adapted near infrared reflectance (NIR) spectroscopy and X-ray fluorescence (XRF) instruments have been used to analyse prehistoric quartz and quartzite quarries in inland Västerbotten (Sweden), and the collected spectral data were compared with tool assemblages from curated archaeological collections. Despite challenges inherent to field sampling, the combined spectroscopic approach reliably differentiates raw material groups, demonstrating its suitability for archaeological prospection and excavation. These findings underscore the value of integrating spectroscopy into routine fieldwork, providing a modern analytical toolkit that expands the interpretive potential of archaeological fieldwork.

Journal of Near Infrared Spectroscopy
Stellenbosch University (ZA), Umeå University (SE)
Sustainable cities and communities
Openalex Percentile: Top 3%
Cultural Heritage Materials Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.