Rebecca MacRoberts
Universidade de Évora, Laboratório HERCULES, Graduate Student
- Aristotle University of Thessaloniki, School of Chemistry - Archmat (archaeometry and material science applied to cultural heritage), Graduate StudentUniversità degli Studi "La Sapienza" di Roma, Chemistry, Graduate StudentUniversity of the Witwatersrand, Geography, Archaeology and Environmental Studies, Alumnusadd
- Digital Photogrammetry applied to Archaeology, Photogrammetry, Medieval Archaeology, Medieval History, Archaeology, Archaeometry, and 9 moreLandscape Archaeology, portable XRF (PXRF) in Archaeology and Museum Science, 3D Laser Scanning (Archaeology), Archaeological GIS, Archaeological Science, Bioarchaeology, Stable Isotopes, Death and Burial (Archaeology), and Stable Isotopes and Palaeodietedit
Thirteen medieval skeletons excavated from the Museu de Évora (Portugal) cellars were studied through the stable isotopic analysis of carbon and nitrogen ratios in the bones using EA-IRMS (Elemental Analysis - Isotope Ratio Mass... more
Thirteen medieval skeletons excavated from the Museu de Évora (Portugal) cellars were studied through the stable isotopic analysis of carbon and nitrogen ratios in the bones using EA-IRMS (Elemental Analysis - Isotope Ratio Mass Spectrometry) and the trace elements in their tooth enamel and dentine using LA-ICP-MS (Laser Ablation Inductively Coupled Mass Spectrometry) to reconstruct diet and understand social status between and within two distinct populations. Two individuals from the Islamic Period were found to have diets mainly based on C3 plants with some C4 or marine resource influences. The Medieval Christian adults, thought to be an elite order of knights who protected the city after the Reconquest of Portugal, displayed varied diets with mostly C3 plants and high levels of protein, probably marine-based. This supports historical documentation of restricted eating habits within the Order of Évora and also of the diverse origins of the order’s members. The concentrations of Ba and Sr relative to Ca in the tooth enamel were considered as additional paleodietary indicators. The extent of diagenesis was assessed in the bones using ATR-FTIR (Attenuated total reflection- Fourier-transform infrared spectroscopy) to measure crystallinity and collagen content, and collagen quality was assessed by carbon to nitrogen ratios in the elemental analyser. Skeletons from Survey 50 were found to be in a poorer state of preservation than those from the other zones. Diagenetic alteration in the teeth was evaluated with LA-ICP-MS by measuring U and rare earth element (REE) concentrations, and lead ingestion was identified in the enamel of two individual, one being the Muslim adult female and the other a young Medieval Christian adult.
Research Interests:
This project uses the technique of multi-image photogrammetry to capture and document two ceramics from the National Palace at Sintra. The objects were both also subjected to chemical analysis using X-ray fluorescence (XRF) to understand... more
This project uses the technique of multi-image photogrammetry to capture and document two ceramics from the National Palace at Sintra. The objects were both also subjected to chemical analysis using X-ray fluorescence (XRF) to understand the mineralogical composition of the glaze and parts of the surface in different colours. Using both the 3D models and the data from the analysis, an online application was made to display the objects in an interactive and informative way, with the aim of making the information interesting and accessible to researchers as well as the general public. Furthermore, the benefits and limitations of this practice are discussed in the context of how useful it is within the fields of archaeological science and cultural heritage conservation.
The study of stone-walled structures from within the last 1000 years in southern Africa can help archaeologists to understand how the landscape was peopled. The size, spatial distribution and patterns can be representative of societal... more
The study of stone-walled structures from within the last 1000 years in southern Africa can
help archaeologists to understand how the landscape was peopled. The size, spatial
distribution and patterns can be representative of societal changes through time and space,
so classifying these structures can be very beneficial to the research process. Google Earth
and Geographic Information System (GIS) programmes can make the data capture process
easier and more efficient, but when a number of different analysts are involved, there can
be significant variability in their results. By comparing the classification data obtained by
three analysts in the area “Joe 2” in southern Gauteng, it was possible to quantify the interanalyst
variability and also find out where and why it occurred. The quality of Google Earth
imagery noticeably influenced how the analysts outlined and classified the stone-walled
structures. This, along with the subjective decisions of the three analysts when it came to
interpreting and classifying the structures, resulted in significantly high levels of interanalyst
variability. With more intensive training and better use of the resources available,
inter-analyst variability can be drastically reduced so that research results and their
subsequent interpretation are more reliable. As the problem faced by all fields of
archaeology, it deserves better insight and understanding than is currently available.
help archaeologists to understand how the landscape was peopled. The size, spatial
distribution and patterns can be representative of societal changes through time and space,
so classifying these structures can be very beneficial to the research process. Google Earth
and Geographic Information System (GIS) programmes can make the data capture process
easier and more efficient, but when a number of different analysts are involved, there can
be significant variability in their results. By comparing the classification data obtained by
three analysts in the area “Joe 2” in southern Gauteng, it was possible to quantify the interanalyst
variability and also find out where and why it occurred. The quality of Google Earth
imagery noticeably influenced how the analysts outlined and classified the stone-walled
structures. This, along with the subjective decisions of the three analysts when it came to
interpreting and classifying the structures, resulted in significantly high levels of interanalyst
variability. With more intensive training and better use of the resources available,
inter-analyst variability can be drastically reduced so that research results and their
subsequent interpretation are more reliable. As the problem faced by all fields of
archaeology, it deserves better insight and understanding than is currently available.
