PXRF characterisation of obsidian from central Anatolia, the Aegean and central Europe

Milić, Marina

doi:10.1016/j.jas.2013.08.002

Cited by 83 publications

(52 citation statements)

References 37 publications

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“…Our study also corroborates findings of other recent successes in obsidian sourcing using pXRF (e.g., Jia et al, 2013;Kellett et al, 2013;Rodríguez-Alegría et al, 2013;Adler et al, 2014;Ebert et al, 2014;Frahm, 2014b;Frahm et al, 2014b,c;Galipaud et al, 2014;Lawrence et al, 2014;McCoy et al, 2014;Milić, 2014), namely that portable instruments are capable of sourcing results that, a decade ago, necessitated laboratory-based equipment available only in specialized archaeometric facilities. This has two consequences for this study.…”

Section: Rb (Ppm)supporting

confidence: 91%

Reassessing obsidian field relationships at Glass Buttes, Oregon

Frahm

Feinberg

2015

Journal of Archaeological Science: Reports

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Section: Rb (Ppm)supporting

confidence: 91%

Reassessing obsidian field relationships at Glass Buttes, Oregon

Frahm

Feinberg

2015

Journal of Archaeological Science: Reports

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“…Portable X-ray fluorescence spectrometer (pXRF) is a tool used in works of several fields of study for identification and quantification of chemical elements present in varied materials (Ioannides et al, 2016;Milić, 2014;Peinado et al, 2010;Rouillon;Taylor, 2016;Terra et al, 2014;Zhang, 2011). This equipment emits high-energy X-ray beams, which cause the displacement of electrons from inner to outer orbits as they hit the atoms of the elements in the sample.…”

Section: Introductionmentioning

confidence: 99%

Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF)

et al. 2017

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Determination of soil properties helps in the correct management of soil fertility. The portable X-ray fluorescence spectrometer (pXRF) has been recently adopted to determine total chemical element contents in soils, allowing soil property inferences. However, these studies are still scarce in Brazil and other countries. The objectives of this work were to predict soil properties using pXRF data, comparing stepwise multiple linear regression (SMLR) and random forest (RF) methods, as well as mapping and validating soil properties. 120 soil samples were collected at three depths and submitted to laboratory analyses. pXRF was used in the samples and total element contents were determined. From pXRF data, SMLR and RF were used to predict soil laboratory results, reflecting soil properties, and the models were validated. The best method was used to spatialize soil properties. Using SMLR, models had high values of R² (≥0.8), however the highest accuracy was obtained in RF modeling. Exchangeable Ca, Al, Mg, potential and effective cation exchange capacity, soil organic matter, pH, and base saturation had adequate adjustment and accurate predictions with RF. Eight out of the 10 soil properties predicted by RF using pXRF data had CaO as the most important variable helping predictions, followed by P 2 O 5 , Zn and Cr. Maps generated using RF from pXRF data had high accuracy for six soil properties, reaching R 2 up to 0.83. pXRF in association with RF can be used to predict soil properties with high accuracy at low cost and time, besides providing variables aiding digital soil mapping.Index terms: Soil analyses; spatial prediction; proximal sensor. RESUMOA determinação de atributos do solo auxilia no correto manejo da sua fertilidade. O equipamento portátil de fluorescência de raios-X (pXRF) foi recentemente adotado para determinar o teor total de elementos químicos em solos, permitindo inferências sobre atributos do solo. No entanto, esses estudos ainda são escassos no Brasil e em outros países. Os objetivos deste trabalho foram prever atributos do solo a partir de dados do pXRF, comparando-se os métodos de regressão linear múltipla stepwise (SMLR) e de random forest (RF), além de mapear e validar atributos do solo. 120 amostras de solo foram coletadas em três profundidades e submetidas a análises laboratoriais. Utilizou-se o pXRF para leitura das amostras e determinou-se o teor total de elementos. A partir dos dados do pXRF, foram utilizadas SMLR e RF para predizer resultados laboratoriais, que refletem atributos do solo, e os modelos foram validados. O melhor método foi utilizado para espacializar os atributos do solo. Utilizando SMLR, os modelos apresentaram valores elevados de R² (≥0,8), porém maior acurácia foi obtida na modelagem com RF. A capacidade de troca de cátions potencial e efetiva, matéria orgânica do solo, pH, saturação por bases e teores trocáveis de Ca, Al e Mg apresentaram ajustes adequados e predições acuradas com RF. Dos dez atributos do solo preditos por RF a partir de dados do pXRF, sete apr...

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“…Contrary to what happened in the past, the pursuit for more efficient and more precise sourcing techniques (see e.g. Frahm and Feinberg, 2013;Kudriavtsev et al, 2015;Yi and Jwa, 2016), the reassessment of 'older' methods (Frahm, 2012a), or even the multiplication of pXRF applications across the world (Craig et al, 2007;Jia et al, 2010;Burley et al, 2011;Sheppard et al, 2011;Milić, 2014, Neri et al, 2015 are not conducted self-sufficiently anymore, e.g. for the only purpose of method development.…”

Section: Discussionmentioning

confidence: 99%

On sourcing obsidian assemblages from the Mediterranean area: analytical strategies for their exhaustive geochemical characterisation

Orange

Bourdonnec

Bellot‐Gurlet

et al. 2017

Journal of Archaeological Science: Reports

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This paper presents an overview of the work conducted by our research group in the Mediterranean area. Initiated in the 1990s by the late Gérard Poupeau, our research relies on international and multidisciplinary collaborations to endeavour archaeological and anthropological issues linked to the diffusion and consumption of the obsidian raw material during the Neolithic period. Our line of action is to develop flexibly unique analytical strategies, tailored to each obsidian assemblage considered for a sourcing study. Drawing its strength from the complementarity of the methods available within our group, i.e. visual characterisation, SEM-EDS, ED-XRF, pXRF, PIXE, and LA-ICP-MS, this approach allows for the exhaustive and non-destructive analysis of those assemblages, thus optimising the potential of sourcing studies. Working hand in hand with archaeologists, the results are closely integrated to the information brought by the typological and technological characteristics of the artefacts, in the aim to reconstruct an overview of the obsidian economy at site level, but also to replace it in a broader — regional and supra-regional — context

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PXRF characterisation of obsidian from central Anatolia, the Aegean and central Europe

Cited by 83 publications

References 37 publications

Reassessing obsidian field relationships at Glass Buttes, Oregon

Reassessing obsidian field relationships at Glass Buttes, Oregon

Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF)

On sourcing obsidian assemblages from the Mediterranean area: analytical strategies for their exhaustive geochemical characterisation

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