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03 Feb 2024
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Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern Croatia

What lies on top lies also beneath? Connecting crop surface modelling to buried archaeology mapping.

Recommended by ORCID_LOGO based on reviews by Ian Moffat and Geert Verhoeven

This paper (Sosic et al. 2024) explores the Neolithic landscape of the Sopot culture in Đakovština, Eastern Slavonija, revealing a network of settlements through a multi-faceted approach that combines aerial archaeology, magnetometry, excavation, and field survey. This strategy facilitates scalable research tailored to the particularities of each site and allows for improved representations of buried archaeology with minimal intrusion. 

Using the site of Tomašanci-Dubrava as an example of the overall approach, the study further explores the use of drone imagery for 3D surface modeling, revealing a consistent correlation between crop surface elevation during full plant growth and ground terrain after ploughing, attributed to subsurface archaeological features. Results are correlated with magnetic survey and test-pitting data to validate the micro-topography and clarify the relationship between different subsurface structures.

The results obtained are presented in a comprehensive way, including their source data, and are contextualized in relation to conventional cropmark detection approaches and expectations. I found this aspect very interesting, since the crop surface and terrain models contradict typical or textbook examples of cropmark detection, where the vegetation is projected to appear higher in ditches and lower in areas with buried archaeology (Renfrew & Bahn 2016, 82). Regardless, the findings suggest the potential for broader applications of crop surface or canopy height modelling in landscape wide surveys, utilizing ALS data or aerial photographs.  

It seems then that the authors make a valid argument for a layered approach in landscape-based site detection, where aerial imagery can be used to accurately map the topography of areas of interest, which can then be further examined at site scale using more demanding methods, such as geophysical survey and excavation. This scalability enhances the research's relevance in broader archaeological and geographical contexts and renders it a useful example in site detection and landscape-scale mapping.

References

Renfrew, C. and Bahn, P. (2016). Archaeology: theories, methods and practice. Thames and Hudson. 

Sosic Klindzic, R., Vuković, M., Kalafatić, H. and Šiljeg, B. (2024). Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern Croatia, Zenodo, 7970703, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7970703

Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern CroatiaSosic Klindzic Rajna; Vuković Miroslav; Kalafatić Hrvoje; Šiljeg Bartul<p>This paper presents the results of a study on the neolithic landscape of the Sopot culture in the area of Đakovština in Eastern Slavonija. A vast network of settlements was uncovered using aerial archaeology, which was further confirmed and chr...Landscape archaeology, Neolithic, Remote sensing, Spatial analysisMarkos Katsianis2023-09-01 12:57:04 View
05 Jun 2023
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SEAHORS: Spatial Exploration of ArcHaeological Objects in R Shiny

Analyzing piece-plotted artifacts just got simpler: A good solution to the wrong problem?

Recommended by ORCID_LOGO based on reviews by Frédéric Santos, Jacqueline Meier and Maayan Lev

Paleolithic archaeologists habitually measure 3-coordinate data for artifacts in their excavations. This was first done manually, and in the last three decades it is usually performed by a total station and associated hardware. While the field recording procedure is quite straightforward, visualizing and analyzing the data are not, often requiring specialized proprietary software or coding expertise. Here, Royer and colleagues (2023) present the SEAHORS application, an elegant solution for the post-excavation analysis of artifact coordinate data that seems to be instantly useful for numerous archaeologists. SEAHORS allows one to import and organize field data (Cartesian coordinates and point description), which often comes in a variety of formats, and to create various density and distribution plots. It is specifically adapted to the needs of archaeologists, is free and accessible, and much simpler to use than many commercial programs. The authors further demonstrate the use of the application in the post-excavation analysis of the Cassenade Paleolithic site (see also Discamps et al., 2019). 

While in no way detracting from my appreciation of Royer et al.’s (2023) work, I would like to play the devil’s advocate by asking whether, in the majority of cases, field recording of artifacts in three coordinates is warranted. Royer et al. (2023) regard piece plotting as “…indispensable to propose reliable spatial planimetrical and stratigraphical interpretations” but this assertion does not hold in all (or most) cases, where careful stratigraphic excavation employing thin volumetric units would do just as well.

Moreover, piece-plotting has some serious drawbacks. The recording often slows excavations considerably, beyond what is needed for carefully exposing and documenting the artifacts in their contexts, resulting in smaller horizontal and vertical exposures (e.g., Gilead, 2002). This typically hinders a fuller stratigraphic and contextual understanding of the excavated levels and features. Even worse, the method almost always creates a biased sample of “coordinated artifacts”, in which the most important items for understanding spatial patterns and site-formation processes – the small ones – are underrepresented. Some projects run the danger of treating the coordinated artifacts as bearing more significance than the sieve-recovered items, preferentially studying the former with no real justification. Finally, the coordinated items often go unassigned to a volumetric unit, effectively disconnecting them from other types of data found in the same depositional contexts.  

The advantages of piece-plotting may, in some cases, offset the disadvantages. But what I find missing in the general discourse (certainly not in the recommended preprint) is the “theory” behind the seemingly technical act of 3-coordinate recording (Yeshurun, 2022). Being in effect a form of sampling, this practice needs a rethink about where and how to be applied; what depositional contexts justify it, and what the goals are. These questions should determine if all “visible” artifacts are plotted, or just an explicitly defined sample of them (e.g., elongated items above a certain length threshold, which should be more reliable for fabric analysis), or whether the circumstances do not actually justify it. In the latter case, researchers sometimes opt for using “virtual coordinates” within in each spatial unit (typically 0.5x0.5 m), essentially replicating the data that is generated by “real” coordinates and integrating the sieve-recovered items as well. In either case, Royer et al.’s (2023) solution for plotting and visualizing labeled points within intra-site space would indeed be an important addition to the archaeologists’ tool kits.

 

References cited 

Discamps, E., Bachellerie, F., Baillet, M. and Sitzia, L. (2019). The use of spatial taphonomy for interpreting Pleistocene palimpsests: an interdisciplinary approach to the Châtelperronian and carnivore occupations at Cassenade (Dordogne, France). Paleoanthropology 2019, 362–388. https://doi.org/10.4207/PA.2019.ART136

Gilead, I. (2002). Too many notes? Virtual recording of artifacts provenance. In: Niccolucci, F. (Ed.). Virtual Archaeology: Proceedings of the VAST Euroconference, Arezzo 24–25 November 2000. BAR International Series 1075, Archaeopress, Oxford, pp. 41–44.

Royer, A., Discamps, E., Plutniak, S. and Thomas, M. (2023). SEAHORS: Spatial Exploration of ArcHaeological Objects in R Shiny Zenodo, 7957154, ver. 2 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7929462

Yeshurun, R. (2022). Intra-site analysis of repeatedly occupied camps: Sacrificing “resolution” to get the story. In: Clark A.E., Gingerich J.A.M. (Eds.). Intrasite Spatial Analysis of Mobile and Semisedentary Peoples: Analytical Approaches to Reconstructing Occupation History. University of Utah Press, pp. 27–35. 

 

SEAHORS: Spatial Exploration of ArcHaeological Objects in R ShinyROYER, Aurélien, DISCAMPS, Emmanuel, PLUTNIAK, Sébastien, THOMAS, Marc<p style="text-align: justify;">This paper presents SEAHORS, an R shiny application available as an R package, dedicated to the intra-site spatial analysis of piece-plotted archaeological remains. This open-source script generates 2D and 3D scatte...Computational archaeology, Spatial analysis, Theoretical archaeologyReuven Yeshurun2023-02-24 16:01:44 View
29 Jan 2024
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Visual encoding of a 3D virtual reconstruction's scientific justification: feedback from a proof-of-concept research

3D Models, Knowledge and Visualization: a prototype for 3D virtual models according to plausible criteria

Recommended by based on reviews by Robert Bischoff and Louise Tharandt

The construction of 3D realities is deeply embedded in archaeological practices. From sites to artifacts, archaeology has dedicated itself to creating digital copies for the most varied purposes. The paper “Visual encoding of a 3D virtual reconstruction's 3 scientific justification: feedback from a proof-of-concept research” (Jean-Yves et al 2024) represents an advance, in the sense that it does not just deal with a three-dimensional theory for archaeological practice, but rather offers proposals regarding the epistemic component, how it is possible to represent knowledge through the workflow of 3D virtual reconstructions themselves. The authors aim to unite three main axes - knowledge modeling, visual encoding and 3D content reuse - (Jean-Yves et al 2024: 2), which, for all intents and purposes, form the basis of this article. With regard to the first aspect, this work questions how it is possible to transmit the knowledge we want to a 3D model and how we can optimize this epistemic component. A methodology based on plausibility criteria is offered, which, for the archaeological field, offers relevant space for reflection. Given our inability to fully understand the object or site that is the subject of the 3D representation, whether in space or time, building a method based on probabilistic categories is probably one of the most realistic approaches to the realities of the past.

Thus, establishing a plausibility criterion allows the user to question the knowledge that is transmitted through the representation, and can corroborate or refute it in future situations. This is because the role of reusing these models is of great interest to the authors, a perfectly justifiable sentiment, as it encourages a critical view of scientific practices. Visual encoding is, in terms of its conjunction with knowledge practices, a key element. The notion of simplicity under Maeda's (2006) design principles not only represents a way of thinking that favors operability, but also a user-friendly design in the prototype that the authors have created. This is also visible when it comes to the reuse of parts of the models, in a chronological logic: adapting the models based on architectural elements that can be removed or molded is a testament to intelligent design, whereby instead of redoing models in their entirety, they are partially used for other purposes.

All these factors come together in the final prototype, a web application that combines relational databases (RDBMS) with a data mapper (MassiveJS), using the PHP programming language.  The example used is the Marmoutier Abbey hostelry, a centuries-old building which, according to the sources presented, has evolved architecturally over several centuries ((Jean-Yves et al 2024: 8). These states of the building are represented visually through architectural elements based on their existence, location, shape and size, always in terms of what is presented as being plausible. This allows not only the creation of a matrix in which various categories are related to various architectural elements, but also a visual aid, through a chromatic spectrum, of the plausibility that the authors are aiming for. 

In short, this is an article that seeks to rethink the degree of knowledge we can obtain through 3D visualizations and that does not take models as static, but rather realities that must be explored, recycled and reinterpreted in the light of different data, users and future research. For this reason, it is a work of great relevance to theoretical advances in 3D modeling adapted to archaeology.

 

References

Blaise, J.-Y., Dudek, I., Bergerot, L. and Gaël, S. (2024). Visual encoding of a 3D virtual reconstruction's scientific justification: feedback from a proof-of-concept research, Zenodo, 7983163, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.10496540

John Maeda. (2006). The Laws of Simplicity. MIT Press, Cambridge, MA, USA.

Visual encoding of a 3D virtual reconstruction's scientific justification: feedback from a proof-of-concept researchJ.Y Blaise, I.Dudek, L.Bergerot, G.Simon<p>&nbsp;3D virtual reconstructions have become over the last decades a classical mean to communicate &nbsp;about analysts’ visions concerning past stages of development of an edifice or a site. However, they still today remain quite often a one-s...Computational archaeology, Spatial analysisDaniel Carvalho2023-05-30 00:43:03 View
02 May 2024
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Machine Learning for UAV and Ground-Captured Imagery: Toward Standard Practices

A step forward in detecting small objects in UAV data for archaeological surveying

Recommended by ORCID_LOGO based on reviews by 2 anonymous reviewers

In this paper [1], the authors describe how they apply machine learning with YOLOv5 to classify visual data, aiming to enhance understanding of archaeological phenomena before conducting destructive fieldwork. Despite challenges, the integration of machine learning with remote sensing technology was seen as transformative, enabling precise recording of areas of interest and assessment of environmental risk factors. The paper discusses successes, failures, and future directions in machine learning research, emphasising the need for standardisation and integration of streamlined methods. The application of machine learning techniques facilitates non-destructive analysis of material culture records, improving conservation efforts and offering insights into both past and contemporary phenomena. While the initial use of YOLOv5 showed potential for consistent detection of archaeological features, further refinement and dataset enlargement are deemed necessary for broader application in non-destructive archaeological surveying. The authors advocate for the integration of machine learning tools in archaeological research to save time, resources, and promote ethical digital recording practices. They highlight the importance of standardised methodologies to enhance credibility and reproducibility, aiming to contribute to the ongoing dialogue in computational archaeology.

Overall, I think this paper is a good step forward in detecting small objects in UAV data, and contains useful information for similar studies. The aim towards greater reproducibility and standardisation is of course shared more widely in the machine learning community, and this study is a good example of how to approach this.

References

[1] Sharp, K., Christofis, B., Eslamiat, H., Nepal, U. and Osores Mendives, C. (2024). Machine Learning for UAV and Ground-Captured Imagery: Toward Standard Practices. Zenodo, 8307612, ver. 5 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8307612

Machine Learning for UAV and Ground-Captured Imagery: Toward Standard PracticesSharp Kayeleigh, Christofis Brooklyn, Eslamiat Hossein, Nepal Upesh, Osores Mendives Carlos<p>Our collaborative work began in 2019 with the intent to overcome obstacles that had arisen from the inability to access curated artifact collections from remote locations. It was our specific aim to not only create digital twins of excavated ob...Ceramics, Computational archaeology, Remote sensing, South AmericaAlex Brandsen2023-09-01 09:56:18 View
07 Nov 2024
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Underwater Drones as a Low-Cost, yet Powerful Tool for Underwater Archaeological Mapping: Case Studies from the Mediterranean

Underwater drones and semi-automatic SfM, a challenge for underwater archaeology, or are we already there?

Recommended by ORCID_LOGO based on reviews by Jitte Waagen and 1 anonymous reviewer

Anything related to underwater archaeology, either survey, excavation, or documentation processes, poses important challenges that were already once tackled and overcome in ground archaeology. While the archaeological and historical goals of researching the underwater heritage have already been defined and studied in the last decades, i.e. maritime economy, archaeology of harbour constructions, or life within ancient vessels, some of the methodological aspects that we consider normal in the surface are still a matter of concern for underwater archaeologists. Most of these issues are related to a general question: how to acquire geospatial data below the surface. That question related to the problem of acquiring spatial data with GPS data that could be analysed through established tools such as GIS. One could get spatial data with relative positions. However, it has to be inserted in a GIS using a projection.

Drones and GPS are one of the most significant archaeological documentation advances in the last decades. Both systems have become available due to the popularisation of affordable systems and software and the widespread use of GPS for civil uses. Recently, different scholars (Campana, 2017; Stek, 2016; Verhoeven et al., 2021; Waagen, 2019) have elaborated on the use of drones in (Mediterranean) archaeology and beyond. Nevertheless, once one starts working in a completely different setting as underwater archaeology, the need to answer the same methodological questions emerges one more time. How to create digital models of the (sea bottom) surface that could be useful to answer archaeological questions? Those questions could be posed in intra-site contexts (shipwrecks) of “submerged landscape” contexts, like a harbour context, an anchorage area, or a bay used through the past due to favourable conditions.

The paper by Diamanti and colleagues (2024) tackles these issues related to drone-based SfM in underwater archaeology. First, they introduced, albeit generally, drone imagery in archaeology to jump into the evolution of drone technology and its applications to marine archaeology. In this section, the main issues regarding the application of drones underwater are familiar to drone practitioners, such as payload capacity, portability, or affordability; other problems are mostly related to underwater devices, such as dive keep, real-time assessment or positioning using USBL (Ultra short baseline). 

Diamanti and colleagues present two study cases stemming from an ongoing project conducted in the Phournoi archipelago in the North Aegean Sea, Greece. The first study case is a Late Roman/ Early Byzantine shipwreck, and the second case study is an anchorage area. Both cases are relevant to the paper's overall scope and fit the reader's interest in how to apply underwater drone archaeology in a site context, the shipwreck, and in a broad context/ landscape, the anchorage point. The former a fascinating topic that has been tackled systematically in other areas of the Mediterranean sea (Quevedo et al., 2024)

I won’t explain both cases deeply, but both demonstrate the capabilities of drone-based SfM in underwater contexts. The authors use different devices with different cameras and make an interesting comparison with diver-based 3D models, perhaps the most used method to produce orthophotography of the sea-bottom surface for more than half a century (Drap, 2012; Yamafune et al., 2017). The authors lost a good opportunity to present a more exhaustive comparison of dive-based and drone-based SfM results besides the textual explanation. As a reviewer commented a summary table with camera characteristics and data from the processing results could have given way more depth to that interesting analysis. The authors present a workflow of the process when dealing with complex technological elements, starting with the hardware components such as drones, USBL, and cameras, and the software component of the process, from frame extraction to SfM. This addition contributes to the reproducibility of methodologies, as it is expected from methodological paper as this one. Kudos for that.

In general, Diamani et al.'s paper is a valuable contribution to understanding the impact of drone surveys underwater. It offers information about two relevant study cases that could be used as paradigms for upcoming innovation in underwater archaeology. The recommendation remains to elaborate further on the comparative perspective as the only way to make the research truly innovative.

References

Campana, S., 2017. Drones in Archaeology. State-of-the-art and Future Perspectives. Archaeol. Prospect. 24, 275–296. https://doi.org/10.1002/arp.1569

Diamanti, E., Ødegård, Ø., Mentogiannis, V. and Koutsouflakis, G. (2024) Underwater Drones as a Low-Cost, yet Powerful Tool for Underwater Archaeological Mapping: Case Studies from the Mediterranean. Zenodo, ver.3 peer-reviewed and recommended by PCI Archaeology https://doi.org/10.5281/zenodo.13460949

Drap, P., 2012. Underwater Photogrammetry for Archaeology, in: Special Applications of Photogrammetry. IntechOpen. https://doi.org/10.5772/33999

Quevedo, A., Aragón, E., de Dios Hernández García, J., Rodríguez Pandozi, J., Mukai, T., Segura, A., Bellviure, J. and Muñoz Yesares, R., 2024. Isla del Fraile. Reconstructing Coastal Dynamics in Southeastern Spain Through Underwater Archaeological Survey. Archaeol. Prospect. 31, 149–170. https://doi.org/10.1002/arp.1937

Stek, T., 2016. Drones over Mediterranean landscapes. The potential of small UAV’s (drones) for site detection and heritage management in archaeological survey projects: A case study from Le Pianelle in the Tappino Valley, Molise (Italy). J. Cult. Herit. 1066–1071. https://doi.org/10.1016/j.culher.2016.06.006

Verhoeven, G., Cowley, D. and Traviglia, A., 2021. Archaeological Remote Sensing in the 21st Century: (Re)Defining Practice and Theory. https://doi.org/10.3390/books978-3-0365-1376-8 

Waagen, J., 2019. New technology and archaeological practice. Improving the primary archaeological recording process in excavation by means of UAS photogrammetry. J. Archaeol. Sci. 101, 11–20. https://doi.org/10.1016/j.jas.2018.10.011

Yamafune, K., Torres, R. and Castro, F., 2017. Multi-Image Photogrammetry to Record and Reconstruct Underwater Shipwreck Sites. J. Archaeol. Method Theory 24, 703–725. https://doi.org/10.1007/s10816-016-9283-1

Underwater Drones as a Low-Cost, yet Powerful Tool for Underwater Archaeological Mapping: Case Studies from the MediterraneanEleni Diamanti, Øyvind Ødegård, Vasilis Mentogiannis, George Koutsouflakis<p>This paper investigates the transformative impact of micro-class Remote Operated Vehicles (ROVs), commonly known as underwater drones, on underwater archaeological mapping. With advancements in Unmanned Underwater Vehicles (UUVs) technology lea...Computational archaeology, Remote sensing, Spatial analysisJesus Garcia Sanchez2024-08-28 19:50:39 View
23 May 2024
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The contribution of Mediterranean connectivity to morphological variability in Iron Age sheep of the Eastern Mediterranean

Exploring eastern Mediterranean Iron Age coastal connections through sheep astragali using geometric morphometrics

Recommended by ORCID_LOGO based on reviews by 4 anonymous reviewers

It currently seems obvious that the Mediterranean basin is a place of great exchanges of cultures, populations and goods. Although studies have focused quite extensively on the archaeology of maritime exchanges [1–3], it is challenging to assess archaeologically to what extent these networks had an influence on the biology of domesticated animals in the past, or even if animals were part of the trip. The question of past populations establishing extensive connections in the Mediterranean basin during the Iron Age and Persian period and especially, if these population exchange livestock and how these connections contributed to the animals phenotype or morphotype diversity is still difficult to document in the (zoo)archaeological record. These are amongst the questions Harding et al. [4] are making an attempt at documenting. Focusing on archaeological deposits from Cyprus and Israel in the eastern part of the Mediterranean basin, they use sheep astragali as a proxy to explore the potential connections that might have existed between evolution of the animals’ morphology and exchanges through sea travel. Postulating that animals from inland sites should have variant morphology from those of coastal sites due to more intensive exchanges for the latter, mainly because of the incorporation of non-native animals, they conducted geometric morphometrics analyses to make an attempt at documenting the phenomenon. Observing changes in size and shape, but also an increased morphological variability within the assemblages from coastal sites, they nicely discuss and put their results in perspectives with the archaeological record and literature [5,6]. Although, as they acknowledge, their sample size is rather limited to draw any general conclusion, this paper sheds new lights on the influence of maritime transport and its influence over domesticated sheep diversity between Cyprus and the southern Levant, paving the way for future studies.

References
1.     Leidwanger, J. and Knappett, C. (2018). Maritime Networks in the Ancient Mediterranean World. (Cambridge University Press). https://doi.org/10.1017/9781108555685
2.     Leidwanger, J. (2020). Roman Seas: A Maritime Archaeology of Eastern Mediterranean Economies. (Oxford University Press). https://doi.org/10.1093/oso/9780190083656.001.0001
3.     Bernard Knapp, A., Russell, A. and van Dommelen, P. (2022). Cyprus, Sardinia and Sicily: A Maritime Perspective on Interaction, Connectivity and Imagination in Mediterranean Prehistory. Cambridge Archaeological Journal 32, 79–97. https://doi.org/10.1017/S0959774321000330
4.     Harding, S. A., Hadjikoumis, A., Vermeersch, S., Shafir, R. and Marom, N. (2024) The contribution of Mediterranean connectivity to morphological variability in Iron Age sheep of the Eastern Mediterranean. bioRxiv2022.12.24.521859 https://doi.org/10.1101/2022.12.24.521859.
5.     Price, M. D., Perry-Gal, L. and Reshef, H. (2023). The Southern Levantine pig from domestication to Romanization: A biometrical approach. J. Archaeol. Sci. 157, 105828. https://doi.org/10.1016/j.jas.2023.105828
6.     Vigne, J., Zazzo, A., Cucchi, T., Briois, F. and Guilaine, J. (2014). The transportation of mammals to Cyprus shed light on early voyaging and boats in the mediterranean sea. Eurasian Prehistory 10, 157–176.

The contribution of Mediterranean connectivity to morphological variability in Iron Age sheep of the Eastern MediterraneanSierra A. Harding, Angelos Hadjikoumis, Shyama Vermeersch, Nimrod Marom<p>The movement of livestock across the Mediterranean is well-documented in the Neolithic era, but its significance during subsequent periods has received less attention. This study explores potential evidence for maritime connections between shee...Bioarchaeology, Mediterranean, ZooarchaeologyLouise Le MeillourAnonymous2023-12-07 10:10:34 View
12 Apr 2024
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Survey Planning, Allocation, Costing and Evaluation (SPACE) Project: Developing a Tool to Help Archaeologists Conduct More Effective Surveys

A new tool to increase the robustness of archaeological field survey

Recommended by ORCID_LOGO based on reviews by Philip Verhagen and Tymon de Haas

This well-written and interesting paper ‘Survey Planning, Allocation, Costing and Evaluation (SPACE) Project: Developing a Tool to Help Archaeologists Conduct More Effective Surveys’ deals with the development of a ‘modular, accessible, and simple web-based platform for survey planning and quality assurance’ in the area of pedestrian field survey methods (Banning et al. 2024).

Although there have been excellent treatments of statistics in archaeological field survey (among which various by the first author: Banning 2020, 2021), and there is continuous methodological debate on platforms such as the International Mediterranean Survey Workshop (IMSW), in papers dealing with the current development and state of the field (Knodell et al. 2023), good practices (Attema et al. 2020) or the merits of a quantifying approach to archaeological densities (cf. de Haas et al. 2023), this paper rightfully addresses the lack of rigorous statistical approaches in archaeological field survey. As argued by several scholars such as Orton (2000), this mainly appears the result of lack of knowledge/familiarity/resources to bring in the required expertise etc. with the application of seemingly intricate statistics (cf. Waagen 2022). In this context this paper presents a welcome contribution to the feasibility of a robust archaeological field survey design. 

The SPACE application, under development by the authors, is introduced in this paper. It is a software tool that aims to provide different modules to assist archaeologists to make calculations for sample size, coverage, stratification, etc. under the conditions of survey goals and available resources. In the end, the goal is to ensure archaeological field surveys will attain their objectives effectively and permit more confidence in the eventual outcomes. The module concerning Sweep Widths, an issue introduced by the main author in 2006 (Banning 2006) is finished; the sweep width assessment is a methodology to calibrate one’s survey project for artefact types, landscape, visibility and person-bound performance, eventually increasing the quality (comparability) of the collected samples. This is by now a well-known calibration technique, yet little used, so this effort to make that more accessible is certainly laudable. An excellent idea, and another aim of this project, is indeed to build up a database with calibration data, so applying sweep-width corrections will become easier accessible to practitioners who lack time to set up calibration exercises. 

It will be very interesting to have a closer look at the eventual platform and to see if, and how, it will be adapted by the larger archaeological field survey community, both from an academic research perspective as from a heritage management point of view. I happily recommend this paper and all debate relating to it, including the excellent peer reviews of the manuscript by Philip Verhagen and Tymon de Haas (available as part of this PCI recommendation procedure), to any practitioner of archaeological field survey.

References

Attema, P., Bintliff, J., Van Leusen, P.M., Bes, P., de Haas, T., Donev, D., Jongman, W., Kaptijn, E., Mayoral, V., Menchelli, S., Pasquinucci, M., Rosen, S., García Sánchez, J., Luis Gutierrez Soler, L., Stone, D., Tol, G., Vermeulen, F., and Vionis. A. 2020. “A guide to good practice in Mediterranean surface survey projects”, Journal of Greek Archaeology 5, 1–62. https://doi.org/10.32028/9781789697926-2

Banning, E.B., Alicia L. Hawkins, S.T. Stewart, Sweep widths and the detection of artifacts in archaeological survey, Journal of Archaeological Science, Volume 38, Issue 12, 2011, Pages 3447-3458. https://doi.org/10.1016/j.jas.2011.08.007 

Banning, E.B. 2020. Spatial Sampling. In: Gillings, M., Hacıgüzeller, P., Lock, G. (eds.) Archaeological Spatial Analysis. A Methodological Guide. Routledge.

Banning, E.B. 2021. Sampled to Death? The Rise and Fall of Probability Sampling in Archaeology. American Antiquity, 86(1), 43-60. https://doi.org/10.1017/aaq.2020.39

Banning, E. B. Steven Edwards, & Isaac Ullah. (2024). Survey Planning, Allocation, Costing and Evaluation (SPACE) Project: Developing a Tool to Help Archaeologists Conduct More Effective Surveys. Zenodo, 8072178, ver. 9 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8072178

Knodell, A.R., Wilkinson, T.C., Leppard, T.P. et al. 2023. Survey Archaeology in the Mediterranean World: Regional Traditions and Contributions to Long-Term History. J Archaeol Res 31, 263–329 (2023). https://doi.org/10.1007/s10814-022-09175-7 

Orton, C. 2000. Sampling in Archaeology. Cambridge University Press. https://doi.org/10.1017/CBO9781139163996

Waagen, J. 2022. Sampling past landscapes. Methodological inquiries into the bias problems of recording archaeological surface assemblages. PhD-Thesis. https://hdl.handle.net/11245.1/e9cb922c-c7e4-40a1-b648-7b8065c46880 

de Haas, T., Leppard, T. P., Waagen, J., & Wilkinson, T. (2023). Myopic Misunderstandings? A Reply to Meyer (JMA 35(2), 2022). Journal of Mediterranean Archaeology, 36(1), 127-137. https://doi.org/10.1558/jma.27148

Survey Planning, Allocation, Costing and Evaluation (SPACE) Project: Developing a Tool to Help Archaeologists Conduct More Effective SurveysE. B. Banning, Steven Edwards, and Isaac Ullah<p>Designing an effective archaeological survey can be complicated and confidence that it was effective requires post-survey evaluation. The goal of SPACE is to develop software to facilitate survey designers’ decisions and partially automate tool...Computational archaeology, Landscape archaeologyJitte Waagen2023-06-28 13:42:28 View
02 Apr 2024
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Similarity Network Fusion: Understanding Patterns and their Spatial Significance in Archaeological Datasets

A different approach to similarity networks in Archaeology - Similarity Network Fusion

Recommended by based on reviews by Matthew Peeples and 1 anonymous reviewer

This is a fascinating paper for anyone interested in network analysis or the chronology and cultures of the case study, namely the Late prehistoric burial sites in Dorset, for which the author’s approach allowed a new perspective over an already deeply studied area [1]. This paper's implementation of Similarity Network Fusion (SNF) is noteworthy. This method is typically utilized within genetic research but has yet to be employed in Archaeology. SNF has the potential to benefit Archaeology due to its unique capabilities and approach significantly. 

The author exhibits a deep and thorough understanding of previous investigations concerning material and similarity networks while emphasizing the innovative nature of this particular study. The SNF approach intends to improve a lack of the most used (in Archaeology) similarity coefficient, the Brainerd-Robinson, in certain situations, mainly in heterogenous and noisy datasets containing a small number of samples but a large number of measurements, scale differences, and collection biases, among other things. The SNF technique, demonstrated in the case study, effectively incorporates various similarity networks derived from different datatypes into one network. 

As shown during the Dorset case study, the SNF application has a great application in archaeology, even in already available data, allowing us to go further and bring new visions to the existing interpretations. As stated by the author, SNF shows its potential for other applications and fields in archaeology coping with similar datasets, such as archaeobotany or archaeozoology, and seems to complement different multivariate statistical approaches, such as correspondence or cluster analysis.

This paper has been subject to two excellent revisions, which the author mostly accepted. One of the revisions was more technical, improving the article in the metadata part, data availability and clarification, etc. Although the second revision was more conceptual and gave some excellent technical inputs, it focused more on complementary aspects that will allow the paper to reach a wider audience. I vividly recommend its publication.

References

[1] Geitlinger, T. (2024). Similarity Network Fusion: Understanding Patterns and their Spatial Significance in Archaeological Datasets. Zenodo, 7998239, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7998239

 

Similarity Network Fusion: Understanding Patterns and their Spatial Significance in Archaeological DatasetsTimo Geitlinger<p>Since its earliest application in the 1970s, network analysis has become increasingly popular in both theoretical and GIS-based archaeology. Yet, applications of material networks remained relatively restricted. This paper describes a specific ...Computational archaeology, ProtohistoryJoel Santos2023-06-02 16:51:19 View
03 Nov 2023
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The Dynamic Collections – a 3D Web Platform of Archaeological Artefacts designed for Data Reuse and Deep Interaction

A comparative teaching and learning tool for 3D data: Dynamic Collections

Recommended by ORCID_LOGO based on reviews by Alex Brandsen and Louise Tharandt

The paper (Callieri, M. et al. 2023) describes the “Dynamic Collections” project, an online platform initially created to showcase digital archaeological collections of Lund University. During a phase of testing by department members, new functionalities and artefacts were added resulting in an interactive platform adapted to university-level teaching and learning. The paper introduces into the topic and related works after which it starts to explain the project itself. The idea is to resemble the possibilities of interaction of non-digital collections in an online platform. Besides the objects themselves, the online platform offers annotations, measurement and other interactive tools based on the already known 3DHOP framework. With the possibility to create custom online collections a collaborative working/teaching environment can be created.

The already wide-spread use of the 3DHOP framework enabled the authors to develop some functionalities that could be used in the “Dynamic Collections” project. Also, current and future plans of the project are discussed and will include multiple 3D models for one object or permanent identifiers, which are both important additions to the system. The paper then continues to explain some of its further planned improvements, like comparisons and support for teaching, which will make the tool an important asset for future university-level education.

The paper in general is well-written and informative and introduces into the interactive tool, that is already available and working. It is very positive, that the authors rely on up-to-date methodologies in creating 3D online repositories and are in fact improving them by testing the tool in a teaching environment. They mention several times the alignment with upcoming EU efforts related to the European Collaborative Cloud for Cultural Heritage (ECCCH), which is anticipatory and far-sighted and adds to the longevity of the project. Comments of the reviewers were reasonably implemented and led to a clearer and more concise paper. I am very confident that this tool will find good use in heritage research and presentation as well as in university-level teaching and learning.

Although the authors never answer the introductory question explicitly (What characteristics should a virtual environment have in order to trigger dynamic interaction?), the paper gives the implicit answer by showing what the "Dynamic Collections" project has achieved and is able to achieve in the future.

Bibliography

Callieri, M., Berggren, Å., Dell'Unto, N., Derudas, P., Dininno, D., Ekengren, F., and Naponiello, G. (2023). The Dynamic Collections – a 3D Web Platform of Archaeological Artefacts designed for Data Reuse and Deep Interaction, Zenodo, 10067103, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.10067103

The Dynamic Collections – a 3D Web Platform of Archaeological Artefacts designed for Data Reuse and Deep InteractionMarco Callieri, Åsa Berggren, Nicolò Dell’Unto, Paola Derudas, Domenica Dininno, Fredrik Ekengren, Giuseppe Naponiello<p>The Dynamic Collections project is an ongoing initiative pursued by the Visual Computing Lab ISTI-CNR in Italy and the Lund University Digital Archaeology Laboratory-DARKLab, Sweden. The aim of this project is to explore the possibilities offer...Archaeometry, Computational archaeologySebastian Hageneuer2023-08-31 15:05:32 View
09 Oct 2024
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Experiences from the BItFROST Project: Developing a 3D repository at the Museum of Cultural History

Keeping 3D data usable - the BitFROST project

Recommended by ORCID_LOGO based on reviews by Alphaeus Lien-Talks and 1 anonymous reviewer

3D technologies are now standard methods for documenting artefacts and archaeological sites. In order to make the resulting digital cultural heritage accessible to current and future generations, a long-term approach to data management is required, with continuous adjustments and consideration of the changing needs of the users. This is the conclusion of the authors Bonelli and colleagues [1], who present a project in which such a holistic approach was applied in practice.

Introduced is the BitFROST platform (Bridging Research Across Heritage Studies) of the Museum of Cultural History at the University of Oslo. This self-hosted platform has been in existence since 2021 and is dedicated to optimising the long-term storage and reuse of 3D data. The project arose from the museum's legal obligations and long tradition of keeping archaeological information usable. The platform was developed with explicit consideration of user feedback to fulfil the different expectations and needs at an early stage. The BitFROST project is therefore a wonderful illustration of how change management should be practised.

The article repeatedly provides brief insights into the functionalities and best practices of the platform but is particularly impressive due to its in-depth contextualisation within the state-of-the-art of digital data management. The authors show a high level of expertise and provide numerous references to further literature. The results of the user feedback are also extensively analysed, and it is explained how, for example, individual technical competence or institutional awareness lead to a great diversity of needs and how this can be counteracted with cooperation, ongoing training and continuous development (as mentioned above).

I recommend this article as a very interesting case study and a well-researched white paper on complex digital data management.

References

Bonelli L., Pantos G. A.s, Indgjerd H., Uleberg E. (2024) Experiences from the BItFROST Project. Zenodo, ver.5 peer-reviewed and recommended by PCI Archaeology https://doi.org/10.5281/zenodo.8310062

Experiences from the BItFROST Project: Developing a 3D repository at the Museum of Cultural HistoryPantos George Alexis, Bonelli Letizia, Indgjerd Hallvard, Uleberg Espen<p>The Museum of Cultural History has been maintaining records and publishing its catalogues since the early 19th century. In recent years the institution has been working to improve data standardisation through adoption of common vocabularies, an...EuropeKristin Kruse2023-09-01 22:33:23 View