Tom Elliot
I am the Science Advisor for the West Midlands, Gloucestershire and Bristol for Historic England.
Prior to this, my PhD focussed on a sourcing study of Mesolithic material from the Lower Wye Valley and southern Welsh Marches, using Laser Ablation Inductively-Coupled Plasma Mass Spectrometry (LA-ICP-MS) to investigate the role of both bedrock and superficial sources of flint from across England and Wales in procurement practices. I completed a postdoc at the University of Liverpool investigating the use of LA-ICP-MS towards the analysis of Roman coins.
I have also developed professional specialisms in measured building and topographic surveying, utilising terrestrial laser scanning equipment, conventional R/EDM total stations, GPS and dGPS equipment. This has also allowed me to experiment with photogrammetry/ Structure from Motion (SfM), and using these to create combined 3D models of buildings and topographic features, as well as other heritage assets.
Prior to this, my PhD focussed on a sourcing study of Mesolithic material from the Lower Wye Valley and southern Welsh Marches, using Laser Ablation Inductively-Coupled Plasma Mass Spectrometry (LA-ICP-MS) to investigate the role of both bedrock and superficial sources of flint from across England and Wales in procurement practices. I completed a postdoc at the University of Liverpool investigating the use of LA-ICP-MS towards the analysis of Roman coins.
I have also developed professional specialisms in measured building and topographic surveying, utilising terrestrial laser scanning equipment, conventional R/EDM total stations, GPS and dGPS equipment. This has also allowed me to experiment with photogrammetry/ Structure from Motion (SfM), and using these to create combined 3D models of buildings and topographic features, as well as other heritage assets.
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Papers by Tom Elliot
analysis of artefacts from Neolithic flint mines in southern Britain. In the decades since, geochemical
techniques to source stone artefacts have flourished globally, with a renaissance in recent years
from new instrumentation, data analysis, and machine learning techniques. Despite the interest
over these latter approaches, there has been variation in the quality with which these methods
have been applied. Using the case study of flint artefacts and geological samples from England, we
present a robust and objective evaluation of three popular techniques, Random Forest, K-Nearest-
Neighbour, and Support Vector Machines, and present a pipeline for their appropriate use. When
evaluated correctly, the results establish high model classification performance, with Random Forest
leading with an average accuracy of 85% (measured through F1 Scores), and with Support Vector
Machines following closely. The methodology developed in this paper demonstrates the potential to
significantly improve on previous approaches, particularly in removing bias, and providing greater
means of evaluation than previously utilised.
Conference Presentations by Tom Elliot
analysis of artefacts from Neolithic flint mines in southern Britain. In the decades since, geochemical
techniques to source stone artefacts have flourished globally, with a renaissance in recent years
from new instrumentation, data analysis, and machine learning techniques. Despite the interest
over these latter approaches, there has been variation in the quality with which these methods
have been applied. Using the case study of flint artefacts and geological samples from England, we
present a robust and objective evaluation of three popular techniques, Random Forest, K-Nearest-
Neighbour, and Support Vector Machines, and present a pipeline for their appropriate use. When
evaluated correctly, the results establish high model classification performance, with Random Forest
leading with an average accuracy of 85% (measured through F1 Scores), and with Support Vector
Machines following closely. The methodology developed in this paper demonstrates the potential to
significantly improve on previous approaches, particularly in removing bias, and providing greater
means of evaluation than previously utilised.