ArticlePloS one2020
Obtaining new resolutions in carnivore tooth pit morphological analyses: A methodological update for digital taphonomy.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Carved in stone: Experimental criteria for identifying Paleolithic bas-relief production techniques and sculptors' expertise.PloS one · 2026Article
- Meta-learning provides a robust framework to discern taxonomic carnivore agency from the analysis of tooth marks on bone: reassessing the role of felids as predators ofRoyal Society open science · 2025Article
- Uncovering Human Tooth Marks in the Search for Dog Domestication: The Case of Coímbre Cave.Animals : an open access journal from MDPI · 2025Article
- New insights of cultural cannibalism amongst Magdalenian groups at Maszycka Cave, Poland.Scientific reports · 2025Article
- Data-driven classification and explainable-AI in the field of lung imaging.Frontiers in big data · 2024Review
- Near-infrared hyperspectral imaging and robust statistics for in vivo non-melanoma skin cancer and actinic keratosis characterisation.PloS one · 2024Article
- A 39,600-year-old leather punch board from Canyars, Gavà, Spain.Science advances · 2023Article
- A Novel Approach for the Shape Characterisation of Non-Melanoma Skin Lesions Using Elliptic Fourier Analyses and Clinical Images.Journal of clinical medicine · 2022Article
- Quaternary taphonomy: understanding the past through traces.Scientific reports · 2022Article
- 3D Insights into the Effects of Captivity on Wolf Mastication and Their Tooth Marks; Implications in Ecological Studies of Both the Past and Present.Animals : an open access journal from MDPI · 2021Article
- Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis.Biomedical optics express · 2021Article
- Developments in data science solutions for carnivore tooth pit classification.Scientific reports · 2021Article
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6 authors.
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Abstract
Modern day investigation in fields of archaeology and palaeontology can be greatly characterised by an exponential growth of integrated new technologies, nevertheless, while these advances are of great significance to multiple lines of research, their evaluation and update over time is equally as important. Here we present an application of inter and intra-observer analysis in taphonomy based geometric morphometrics, employing robust non-parametric statistical analyses for the study of experimental carnivore tooth pit morphologies. To fully understand the influence of measurement errors in the collection of this data, our statistical assessment was performed on fully superimposed, partially superimposed and raw landmark coordinates collected from 3D surface scanning. Experimental samples used to assess these errors includes wolf and dog tooth pits used in modern day ecological livestock predation analysis. Results obtained from this study highlight the importance of landmark type in the assessment of error, emphasising the value of semi-landmark models over the use of ambiguous Type III landmarks. In addition to this, data also reveals the importance of observer experience for the collection of data alongside an interesting increase in error when working with fully superimposed landmarks due to the "Pinocchio Effect". Through this study we are able to redefine the geometric morphometric models used for tooth pit morphological analyses. This final hybrid Type II fixed landmark and semi-landmark model presents a significant reduction in human induced error, generating a more metrically reliable and replicable method that can be used for data pooling in future inter-institutional research. These results can be considered a fundamental step forward for carnivore inspired studies, having an impact on archaeological, palaeontological, modern-day ecological research as well as applications in other forensic sciences.
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