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Relevant bibliographies by topics / Archaeological data processing

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Academic literature on the topic 'Archaeological data processing'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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Journal articles on the topic "Archaeological data processing"

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Mikhailova, V. S., N. G. Grafeeva, E. G. Mikhailova, and A. V. Chudin. "Magnetometry data processing to detect archaeological sites." Pattern Recognition and Image Analysis 26, no. 4 (2016): 789–99. http://dx.doi.org/10.1134/s1054661816040106.

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Blakely, Jeffrey A., Robert Brinkmann, and Charles J. Vitaliano. "Pompeian red ware: Processing archaeological ceramic data." Geoarchaeology 4, no. 3 (1989): 201–28. http://dx.doi.org/10.1002/gea.3340040302.

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Bornik, Alexander, and Wolfgang Neubauer. "3D Visualization Techniques for Analysis and Archaeological Interpretation of GPR Data." Remote Sensing 14, no. 7 (2022): 1709. http://dx.doi.org/10.3390/rs14071709.

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The non-invasive detection and digital documentation of buried archaeological heritage by means of geophysical prospection is increasingly gaining importance in modern field archaeology and archaeological heritage management. It frequently provides the detailed information required for heritage protection or targeted further archaeological research. High-resolution magnetometry and ground-penetrating radar (GPR) became invaluable tools for the efficient and comprehensive non-invasive exploration of complete archaeological sites and archaeological landscapes. The analysis and detailed archaeological interpretation of the resulting large 2D and 3D datasets, and related data from aerial archaeology or airborne remote sensing, etc., is a time-consuming and complex process, which requires the integration of all data at hand, respective three-dimensional imagination, and a broad understanding of the archaeological problem; therefore, informative 3D visualizations supporting the exploration of complex 3D datasets and supporting the interpretative process are in great demand. This paper presents a novel integrated 3D GPR interpretation approach, centered around the flexible 3D visualization of heterogeneous data, which supports conjoint visualization of scenes composed of GPR volumes, 2D prospection imagery, and 3D interpretative models. We found that the flexible visual combination of the original 3D GPR datasets and images derived from the data applying post-processing techniques inspired by medical image analysis and seismic data processing contribute to the perceptibility of archaeologically relevant features and their respective context within a stratified volume. Moreover, such visualizations support the interpreting archaeologists in their development of a deeper understanding of the complex datasets as a starting point for and throughout the implemented interactive interpretative process.

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Scollar, Irwin, Bernd Weidner, and Karel Segeth. "Display of archaeological magnetic data." GEOPHYSICS 51, no. 3 (1986): 623–33. http://dx.doi.org/10.1190/1.1442116.

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Magnetic data from archaeological sites have traditionally been displayed by contour, isometric, and dot‐density plotting, or by simulated gray‐scale techniques using symbol overprinting. These methods do not show fine linear structures in the data which are of great interest to archaeologists. If true gray‐scale methods using a modern video display, followed by film recording for hard copy are employed, image processing techniques can be applied to enhance the geometric structures of archaeological interest. Interpolation techniques for enlarging data to full screen size, along with compression methods to keep data within gray‐scale capabilities, are needed. Such techniques would introduce minimum distortion and allow faint details to be seen in the vicinity of strong anomalies. Postprocessing methods based on rapid image spatial filtering and enhancement algorithms could then be applied in an interactive environment.

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Previtali, Mattia, and Riccardo Valente. "Archaeological documentation and data sharing: digital surveying and open data approach applied to archaeological fieldworks." Virtual Archaeology Review 10, no. 20 (2019): 17. http://dx.doi.org/10.4995/var.2019.10377.

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<p>The open data paradigm is changing the research approach in many fields such as remote sensing and the social sciences. This is supported by governmental decisions and policies that are boosting the open data wave, and in this context archaeology is also affected by this new trend. In many countries, archaeological data are still protected or only limited access is allowed. However, the strong political and economic support for the publication of government data as open data will change the accessibility and disciplinary expertise in the archaeological field too. In order to maximize the impact of data, their technical openness is of primary importance. Indeed, since a spreadsheet is more usable than a PDF of a table, the availability of digital archaeological data, which is structured using standardised approaches, is of primary importance for the real usability of published data. In this context, the main aim of this paper is to present a workflow for archaeological data sharing as open data with a large level of technical usability and interoperability. Primary data is mainly acquired through the use of digital techniques (e.g. digital cameras and terrestrial laser scanning). The processing of this raw data is performed with commercial software for scan registration and image processing, allowing for a simple and semi-automated workflow. Outputs obtained from this step are then processed in modelling and drawing environments to generate digital models, both 2D and 3D. These crude geometrical data are then enriched with further information to generate a Geographic Information System (GIS) which is finally published as open data using Open Geospatial Consortium (OGC) standards to maximise interoperability.</p><p><strong>Highlights:</strong></p><ul><li><p>Open data will change the accessibility and disciplinary expertise in the archaeological field.</p></li><li><p>The main aim of this paper is to present a workflow for archaeological data sharing as open data with a large level of interoperability.</p></li><li><p>Digital acquisition techniques are used to document archaeological excavations and a Geographic Information System (GIS) is generated that is published as open data.</p></li></ul>

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Lozić, Edisa, and Benjamin Štular. "Documentation of Archaeology-Specific Workflow for Airborne LiDAR Data Processing." Geosciences 11, no. 1 (2021): 26. http://dx.doi.org/10.3390/geosciences11010026.

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Airborne LiDAR is a widely accepted tool for archaeological prospection. Over the last decade an archaeology-specific data processing workflow has been evolving, ranging from raw data acquisition and processing, point cloud processing and product derivation to archaeological interpretation, dissemination and archiving. Currently, though, there is no agreement on the specific steps or terminology. This workflow is an interpretative knowledge production process that must be documented as such to ensure the intellectual transparency and accountability required for evidence-based archaeological interpretation. However, this is rarely the case, and there are no accepted schemas, let alone standards, to do so. As a result, there is a risk that the data processing steps of the workflow will be accepted as a black box process and its results as “hard data”. The first step in documenting a scientific process is to define it. Therefore, this paper provides a critical review of existing archaeology-specific workflows for airborne LiDAR-derived topographic data processing, resulting in an 18-step workflow with consistent terminology. Its novelty and significance lies in the fact that the existing comprehensive studies are outdated and the newer ones focus on selected aspects of the workflow. Based on the updated workflow, a good practice example for its documentation is presented.

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Manataki, Merope, Antonis Vafidis, and Apostolos Sarris. "GPR Data Interpretation Approaches in Archaeological Prospection." Applied Sciences 11, no. 16 (2021): 7531. http://dx.doi.org/10.3390/app11167531.

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This article focuses on the possible drawbacks and pitfalls in the GPR data interpretation process commonly followed by most GPR practitioners in archaeological prospection. Standard processing techniques aim to remove some noise, enhance reflections of the subsurface. Next, one has to calculate the instantaneous envelope and produce C-scans which are 2D amplitude maps showing high reflectivity surfaces. These amplitude maps are mainly used for data interpretation and provide a good insight into the subsurface but cannot fully describe it. The main limitations are discussed while studies aiming to overcome them are reviewed. These studies involve integrated interpretation approaches using both B-scans and C-scans, attribute analysis, fusion approaches, and recent attempts to automatically interpret C-scans using Deep Learning (DL) algorithms. To contribute to the automatic interpretation of GPR data using DL, an application of Convolutional Neural Networks (CNNs) to classify GPR data is also presented and discussed.

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Gaboutchian, A. V., V. A. Knyaz, N. A. Leybova, et al. "3D RECONSTRUCTION AND IMAGE PROCESSING OF ANTHROPOLOGICAL ARCHAEOLOGICAL FINDINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 845–50. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-845-2020.

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Abstract. A wide variety of methods are used in archaeological research today, including 3D imaging techniques (photogrammetry) which are involved at different stages starting from explorations preceding excavation to multiple studies. The archaeologically obtained material includes anthropological findings, among which odontological (related to human teeth) are of interest as they are composed of resistible tissues (hence are preserved well) and can serve for biological as well as historical interpretations. However, among the methods employed in odontological studies some are destructive and bring to unwelcome irreversible changes or even complete loss of the analysed samples. However, the existing and rapidly-developing techniques, especially, referring to 3D imaging and prototyping, suggest different approaches which can facilitate avoiding undesirable consequences of invasive methods of research. Thus they can provide for either preservation of findings through development and application of non-invasive study techniques, or, at least, preserve data referring the findings which have to be destroyed in order to receive valuable, in terms of research, information. It is shown on the example of the studied mandibular fragment from the Early Bronze archaeological site of Shengavit how multidisciplinary cooperation and the described workflow contribute to preservation of information regarding the finding and possible restoration of its original features. An effective communication between different professionals was provided due to implementing non-contact measurements techniques, obtaining and processing 3D images and 3D printing.

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Küçükdemirci, Melda, and Apostolos Sarris. "GPR Data Processing and Interpretation Based on Artificial Intelligence Approaches: Future Perspectives for Archaeological Prospection." Remote Sensing 14, no. 14 (2022): 3377. http://dx.doi.org/10.3390/rs14143377.

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Ground penetrating radar (GPR) is a well-established technique used in archaeological prospection and it requires a number of specialized routines for signal and image processing to enhance the data acquired and lead towards a better interpretation of them. Computer-aided techniques have advanced the interpretation of GPR data, dealing with a wide range of operations aiming towards locating, imaging, and diagnosis/interpretation. This article will discuss the novel and recent applications of machine learning (ML) and deep learning (DL) techniques, under the artificial intelligence umbrella, for processing GPR measurements within archaeological contexts, and their potential, limitations, and possible future prospects.

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Brooke, Christopher, and Ben Clutterbuck. "Mapping Heterogeneous Buried Archaeological Features Using Multisensor Data from Unmanned Aerial Vehicles." Remote Sensing 12, no. 1 (2019): 41. http://dx.doi.org/10.3390/rs12010041.

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There is a long history of the use of aerial imagery for archaeological research, but the application of multisensor image data has only recently been facilitated by the development of unmanned aerial vehicles (UAVs). Two archaeological sites in the East Midlands U.K. that differ in age and topography were selected for survey using multisensor imaging from a fixed-wing UAV. The aim of this study was to determine optimum methodology for the use of UAVs in examining archaeological sites that have no obvious surface features and examine issues of ground control target design, thermal effects, image processing and advanced filtration. The information derived from the range of sensors used in this study enabled interpretation of buried archaeology at both sites. For any archaeological survey using UAVs, the acquisition of visible colour (RGB), multispectral, and thermal imagery as a minimum are advised, as no single technique is sufficient to attempt to reveal the maximum amount of potential information.

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Dissertations / Theses on the topic "Archaeological data processing"

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Booth, Adam David. "Acquisition and Processing of Three-Dimensional, Multi-Offset Archaeological Ground Penetrating Radar Data." Thesis, University of Plymouth, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494128.

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Griesbach, Christopher James. "Improving LiDAR Data Post-Processing Techniques for Archaeological Site Management and Analysis: A Case Study from Canaveral National Seashore Park." Scholar Commons, 2015. https://scholarcommons.usf.edu/etd/5491.

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Methods used to process raw Light Detection and Ranging (LiDAR) data can sometimes obscure the digital signatures indicative of an archaeological site. This thesis explains the negative effects that certain LiDAR data processing procedures can have on the preservation of an archaeological site. This thesis also presents methods for effectively integrating LiDAR with other forms of mapping data in a Geographic Information Systems (GIS) environment in order to improve LiDAR archaeological signatures by examining several pre-Columbian Native American shell middens located in Canaveral National Seashore Park (CANA).

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Mamoli, Myrsini. "Towards of a theory of reconstructing ancient libraries." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/51779.

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The library was one of the most important institutions in the Hellenistic and Roman city, as evidenced in the writings of ancient authors, and the building remains of libraries found throughout the Greco-Roman world, from Asia Minor to France and from Africa to Northern Greece. Yet, the library remains one of the least easily identifiable building forms and one of the most difficult to reconstruct, because unlike architectural types such as the temple, stoa, or theater, the library exhibits significant variety in design, scale and monumentality and the use of different component elements. In reconstructing libraries, scholars often rely on a prescribed set of assumptions about components and their arrangement that limit our ability to identify libraries and understand their diversity of arrangement. This dissertation proposes shape grammars as an effective computational methodology to identify, understand, and reconstruct ancient libraries of diverse and variant scale, design and monumentality. The work presents a comprehensive documentation of known and identified libraries, reviews the design principles of the architectural form of ancient libraries, and on the basis of this historical analysis proposes a shape grammar for the formal specification of ancient Greek and Roman libraries. The library grammar encodes the design principles of ancient libraries in ninety-one rules that are grouped in two major parts: the first generates the main hall of the library and its interior design, and the second generates the complete layout of the library including additional porticoes, peristyles, exedras, gardens and propylon. The application of the rules generates libraries of diverse scales and monumentality: libraries known in the corpus and as well as hypothetical libraries. The dissertation presents grammatical derivations for the seventeen known and identified libraries. These derivations, depending on the degree of preservation of the building remains of libraries, function as an evaluative tool for the validity of the grammar or for the reconstructions proposed by traditional research. In many cases, they point to different possibilities in the identification of the building remains related to libraries among remains of different phases or remains belonging to neighboring buildings, and suggest variant scenarios of reconstruction that might not stand out using traditional techniques of reconstruction. The metadata of the rules in the grammar and the derivations are used in a frequency analysis that provides a probabilistic model as an effective and systematic guide in identifying, evaluating and predicting the architectural form of libraries: the main hall and the threshold are identified as mandatory architectural components, the niches and focal point as most likely, and the podium with a colonnade as less likely to occur in a library. Less frequently, the library is a whole complex with exedras, a monumental entry and additional rooms that function as auditoria, banquet halls or offices. Moreover, the work presents the derivations of possible libraries and evaluates the rules applied to generate them based on the frequency analysis. In the end, the work concludes whether these buildings are libraries, non-libraries or exceptional libraries. Lastly, this dissertation assesses the opportunities and challenges that emerge in using shape grammars to identify and reconstruct libraries and also the value and impact of using formal computational methods in the systematic exploration of variations in reconstruction of the archaeological record.

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CHIAZZA, Maria Antonella. "CONOSCENZA E CONSERVAZIONE. PROSPETTIVE PER LE DOMUS DI PIAZZA DELLA VITTORIA A PALERMO." Doctoral thesis, Università degli Studi di Palermo, 2014. http://hdl.handle.net/10447/91211.

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Il tema di ricerca possiede un carattere multidisciplinare, coinvolge ampi settori e, con un approccio metodologico di tipo olistico, mette in evidenza le complessità storiche, artistiche, architettoniche, archeologiche e urbanistiche, tenendo conto delle differenti implicazioni sul piano sia tecnologico che museografico. Il caso di studio scelto, per elaborare una strategia d’intervento e riproponibile in altri contesti, è costituito dalle Domus di Piazza della Vittoria a Palermo, un exemplum di complesso residenziale unico nell’ambito della città, arricchito dalla presenza di importanti mosaici che testimoniano la circolazione di possibili culti praticati nell’area occidentale della Sicilia. Un'attenta fase analitica e d'indagine del Bene archeologico permette di dare un valido contributo non soltanto al processo di conoscenza del suo valore storico e culturale, uno strumento fondamentale per adottare le scelte conservative più opportune e per definire i criteri di messa in valore e di fruizione, ma anche al processo conservativo. Il caso di studio ha consentito di approfondire un approccio metaprogettuale che si basa sulla ricerca di una metodologia appropriata, con l’obiettivo di sviluppare riflessioni nell’ambito della vasta tematica della valorizzazione e della fruizione.<br>The research topic has a multidisciplinary nature, involving various sectors and, with a methodological approach in a holistic style, it highlights the complexity of historical, artistic, architectural, archaeological and urban planning, taking into account the diverse implications, both technological and museological . The case study chosen , to develop an intervention strategy that can also be re-proposed in other contexts, is the Domus in Piazza della Vittoria in Palermo, an example of a single, residential complex in the city environment, enriched by the presence of important mosaics that testify to the movement of possible religious cults in western Sicily. A careful analytical phase and investigation of archaeological asset provides a valuable contribution not only to the conservation process, but also to the process of discovering its historical and cultural value, a fundamental tool for selecting the most appropriate approaches to conservation and defining the criteria for valorization and fruition. The case study has consented us to investigate a meta-design approach that is based on finding an appropriate methodology , with the aim of developing ideas in the context of the wide-ranging themes of valorization and fruition .

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Punke, Michele Leigh. "Predictive locational modeling of late Pleistocene archaeological sites on the southern Oregon Coast using a Geographic Information System (GIS)." Thesis, 2001. http://hdl.handle.net/1957/28949.

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The search for archaeological materials dating to 15,000 yr BP along the southern Oregon coast is a formidable task. Using ethnographic, theoretical, and archaeological data, landscape resources which would have influenced land-use and occupation location decisions in the past are highlighted. Additionally, environmental data pertaining to the late Pleistocene is examined to determine what landscape features may have been used by human groups 15,000 years ago and to determine how these landscape features may have changed since that time. These landscape resource features are included in the modeling project as independent variables. The dependent variable in this modeling project is relative probability that an area will contain archaeological materials dating to the time period of interest. Two predictive locational models are created to facilitate the search process. These models mathematically combine the independent variables using two separate approaches. The hierarchical decision rule model approach assumes that decision makers in the past would have viewed landscape features sequentially rather than simultaneously. The additive, or weighted-value, approach assumes that a number of conditional preference aspects were evaluated simultaneously and that different environmental variables had varying amounts of influence on the locational choices of prehistoric peoples. Integration of the data and mathematical model structures into a Geographic Information System (GIS) allows for spatial analysis of the landscape and the prediction of locations most likely to contain evidence of human activity dating to 15,000 years ago. The process involved with variable integration into the GIS is delineated and results of the modeling procedures are presented in spatial, map-based formats.<br>Graduation date: 2002

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Ninje, Douglas Joster. "Treatment, processing and interpretation of data acquired from the archaeological site of Castro de Ul, Northern Portugal." Master's thesis, 2017. https://repositorio-aberto.up.pt/handle/10216/107729.

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Ninje, Douglas Joster. "Treatment, processing and interpretation of data acquired from the archaeological site of Castro de Ul, Northern Portugal." Dissertação, 2017. https://repositorio-aberto.up.pt/handle/10216/107729.

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Kelly, Cara McCulley. "Prehistoric land-use patterns in the North Santiam subbasin on the western slopes of the Oregon Cascade Range." Thesis, 2001. http://hdl.handle.net/1957/34283.

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This thesis examines prehistoric land use patterns of the entire North Santiam subbasin, located on the western slopes of the Oregon Cascade Range. The objective of this analysis is three-fold: 1) to contribute to reconstructing the cultural chronology of the area; 2) to address the use of raw material by local hunter-gatherers and how raw material can be used to reconstruct the seasonal procurement ranges for these groups; and 3) to model the adaptive strategies of the prehistoric inhabitants of the North Santiam subbasin. The adaptive strategies of hunter-gatherer groups in the North Santiam subbasin are addressed by using the known ethnographic record, limited archaeological excavations, and the environmental and social data layers in Geographic Information Systems. ArcView Spatial Analyst was used to analyze the density and distribution of prehistoric sites and their association with major vegetation, huckleberry patches, non-forested communities, slope, aspect, streams, lithic sources, hot springs and trails within the subbasin. Five elevation zones are outlined corresponding to the site density pattern and the key predictive environmental and social variables. This study assumed that sites are not randomly distributed across the landscape; instead hunter-gatherer groups chose a particular location based on the natural environment. It is also assumed that many of the environmental variables have survived to modern time and are represented by the presently available data. Concurrent trace element analysis by X-ray fluorescence spectrometry and obsidian hydration analysis conducted on projectile points recovered from the surface and subsurface have provided evidence for early occupation in the subbasin; and revealed patterns in mobility, social interaction, and the use of raw material during the Archaic. The key predictive variables sustained a diversity of plant and animal resources that attracted human groups from both east and west of the Cascade Mountains over the past 10,000 years to seasonally hunt and procure a variety of important plant resources. The results of this study while descriptive in nature elucidates a pattern of land-use by hunter-gatherers, by providing key distributional data on prehistoric sites and their association to particular ecological zones within the North Santiam subbasin during the Archaic Period.<br>Graduation date: 2002

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Books on the topic "Archaeological data processing"

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1965-, Wheatley David, Earl Graeme, Poppy Sarah, and Computer Applications and Quantitative Methods in Archaeology (Organization). U.K. Chapter., eds. Contemporary themes in archaeological computing. Oxbow Books, 2002.

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A, Cooper M., Richards J. D, University of Birmingham. Dept. of Extramural Studies., Birmingham University Field Archaeology Unit., Institute of Field Archaeologists, and Conference on Techniques of Archaeological Excavation (3rd : 1984 : Birmingham, England), eds. Current issues in archaeological computing. B.A.R., 1985.

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Thinking beyond the tool: Archaeological computing and the interpretive process. Archaeopress, 2012.

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Carmen, Olaria de Gusi, ed. El dibujo arqueológico: El tratamiento informatizado de la documentación gráfica : normalización de convenciones gráficas aplicadas a las intervenciones arqueológicas. Denboraren Argia, 2012.

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Group, Canadian Heritage Information Network Documentation Research. Archaeological sites data dictionary of the Canadian Heritage Information Network. Documentation Research Group, 1994.

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G, Maschner Herbert D., Southern Illinois University at Carbondale. Center for Archaeological Investigations., and Visiting Scholar Conference (10th : 1993 : Southern Illinois University at Carbondale), eds. New methods, old problems: Geographic information systems in modern archaeological research. Center for Archaeological Investigations, Southern Illinois University at Carbondale, 1996.

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White, Devin Alan. Least cost analysis of social landscapes: Archaeological case studies. University of Utah Press, 2012.

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David, Wheatley, and Leonardo García Sanjuán. Mapping the future of the past: Managing the spatial dimension of the European archaeological resource. Edited by Instituto Andaluz del Patrimonio Histórico. Universidad de Sevilla, 2002.

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Kristov, Ivan. Arkheologicheskoto bogatstvo na Troi︠a︡nskii︠a︡ kraĭ: The archaeological wealth in the region of Troyan. Unicart, 2019.

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Mark, Mehrer, and Wescott Konnie, eds. GIS and archaeological site location modeling. Taylor & Francis, 2005.

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Book chapters on the topic "Archaeological data processing"

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Lasaponara, Rosa, and Nicola Masini. "On the Processing of Aerial LiDAR Data for Supporting Enhancement, Interpretation and Mapping of Archaeological Features." In Computational Science and Its Applications - ICCSA 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21887-3_31.

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Panisova, J., M. Fraštia, T. Wunderlich, and R. Pašteka. "DIGITAL PHOTOGRAMMETRY IN MICROGRAVITY DATA PROCESSING:." In Archaeological Prospection. Verlag der österreichischen Akademie der Wissenschaften, 2013. http://dx.doi.org/10.2307/j.ctvjsf630.125.

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Kalaycı, Tuna. "Processing and Analysing Satellite Data." In Archaeological Spatial Analysis. Routledge, 2020. http://dx.doi.org/10.4324/9781351243858-19.

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Sarris, Apostolos. "Processing and Analysing Geophysical Data." In Archaeological Spatial Analysis. Routledge, 2020. http://dx.doi.org/10.4324/9781351243858-20.

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Löcker, K., E. Baldwin, W. Neubauer, et al. "THE STONEHENGE HIDDEN LANDSCAPE PROJECT – DATA ACQUISITION, PROCESSING, INTERPRETATION." In Archaeological Prospection. Verlag der österreichischen Akademie der Wissenschaften, 2013. http://dx.doi.org/10.2307/j.ctvjsf630.42.

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Linford, N. "RAPID PROCESSING OF GPR TIME SLICES FOR DATA VISUALISATION DURING FIELD ACQUISITION." In Archaeological Prospection. Verlag der österreichischen Akademie der Wissenschaften, 2013. http://dx.doi.org/10.2307/j.ctvjsf630.66.

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Jaulneau, Cynthia. "From Observation to Interpretation." In E-Learning Methodologies and Computer Applications in Archaeology. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-759-1.ch006.

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This chapter underlines the necessity of establishing a carefully thought-out method to answer precise questions. We will also use this opportunity to discuss the possibilities and difficulties generated by the use of computers to record and process data from archaeological excavations. Which reflections lead the archaeologist to use a particular tool? The amount of data-processing software for the treatment of various types of information (word processing, spreadcards, CAD, data bases, GIS, etc.) is continuously growing and developing. While it is obvious that the use of certain software facilitates the analysis of archaeological data (up to the point where it becomes essential to the archaeologist), is it also necessary to constantly adapt archaeological data processing methods to the use of new software?

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Sáez Romero, Antonio M. "Fish processing and salted-fish trade in the Punic West: New archaeological data and historical evolution." In Fish & Ships. Publications du Centre Camille Jullian, 2014. http://dx.doi.org/10.4000/books.pccj.1711.

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Corsi, Cristina. "GIS Use in Landscape Archaeology." In Encyclopedia of Information Communication Technology. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-845-1.ch045.

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Information technologies (ITs) entered and irreversibly changed the discipline of archaeology during the last 20 years of the second millennium. The first experiments involved databases and alphanumeric data processing, then in the late 1980s GPS technologies, associated with spatial data processing, were first tested to locate archaeological objects in the geographical space. Computer-aided design (CAD) software has progressively replaced the traditional procedures of topographical and architectural design, while “New Archaeology” and “Processual Archaeology” focusing their attention on the quantitative aspects of phenomena (Binford, 1989; Binford & Binford, 1968; Clarke, 1968; Clarke, 1977) adopted “spatial technologies”, consisting of computer-based applications concerned with the acquisition, storage and manipulation of spatial information (Wheatley & Gillings, 2002).

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Altman, Heidi M., Tanya M. Peres, and J. Matthew Compton. "Better than Butter." In Bears. University Press of Florida, 2020. http://dx.doi.org/10.5744/florida/9781683401384.003.0009.

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Bears are central figures in Cherokee oral history, folk tales, and traditional arts. However, bear grease was also crucial to pre-colonial Cherokee foodways and economies, and persisted as an element of both well into the twentieth century. This chapter explores the relationships between bears as cultural icons and the use of their fat for fuel, flavor, and trade. In contemporary times there is disagreement among community members about whether the consumption of bear meat is culturally prohibited, but there is wide agreement that bear grease is an essential part of traditional foodways. Archaeological data from Cherokee-identified sites from the Mississippi period (ca. AD 1000) to the mid-nineteenth century are examined for evidence of the use of bear fat in the past. These data sets indicate that when bears are present at Cherokee sites, typically only a small subset of skeletal elements are present. These elements include the remains of the paws and skull, a pattern that does not suggest the regular consumption of meat, but does correlate with the field processing of bears for fat and hide removal in the field.

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Conference papers on the topic "Archaeological data processing"

1

Grafeeva, Natalia. "MAGNETOMETRY DATA PROCESSING TO DETECT ARCHAEOLOGICAL SITES." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/21/s07.050.

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Piro, S., and A. Godio. "Integrated data processing of archaeological magnetic surveys." In 9th EAGE/EEGS Meeting. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609.201414613.

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Chibunichev, Alexander G., Denis V. Zhuravlev, and Vladimir A. Knyaz. "Multisource data fusion for documenting archaeological sites." In Image and Signal Processing for Remote Sensing, edited by Lorenzo Bruzzone, Francesca Bovolo, and Jon Atli Benediktsson. SPIE, 2017. http://dx.doi.org/10.1117/12.2278736.

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Carlotto, Mark J. "Archaeological dating using a data fusion approach." In Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, edited by Lynne L. Grewe, Erik P. Blasch, and Ivan Kadar. SPIE, 2019. http://dx.doi.org/10.1117/12.2520130.

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Torrejón Valdelomar, Juan, Mario Wallner, Immo Trinks, et al. "BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION." In ARQUEOLÓGICA 2.0 - 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/arqueologica8.2016.4200.

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While traditionally archaeological research has mainly been focused on individual cultural heritage monuments or distinct archaeological sites, the Austrian based Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology goes beyond the limitations of discrete sites in order to understand their archaeological context. This is achieved by investigating the space in-between the sites, studying entire archaeological landscapes from the level of individual postholes to the mapping of numerous square kilometres. This large-scale, high-resolution, multi-method prospection approach leads to enormous digital datasets counting many terabytes of data that until recently were technically not manageable. Novel programs and methods of data management had to be developed for data acquisition, processing and archaeological interpretation, in order to permit the extraction of the desired information from the very big amount of data. The analysis of the generated datasets is conducted with the help of semi-automatic algorithms within complex three-, or even four-dimensional geographical information systems. The outcome of landscape archaeological prospection surveys is visually communicated to the scientific community as well as to the general public and stakeholders. In many cases, a visualization of the scientific result and archaeological interpretations can be a powerful and suitable tool to illustrate and communicate even complex contexts to a wide audience. This paper briefly presents the great potential offered by a combination of large-scale non-invasive archaeological prospection methods and standardized workflows for the integration of big data, its interpretation and visualization. The proposed approach provides a context for buried archaeology across entire archaeological landscapes, changing our understanding of known monuments. We address the overcome and remaining challenges with the help of examples taken from outstanding landscape archaeological prospection case studies.

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V. Herwanger, J., H. R. Maurer, J. Leckebusch, and A. G. Green. "Acquisition, processing and inversion of magnetic data in archaeological prospecting." In 3rd EEGS Meeting. European Association of Geoscientists & Engineers, 1997. http://dx.doi.org/10.3997/2214-4609.201407381.

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Lijun, Yu, Nie Yueping, Liu Fang, Zhu Jianfeng, Yao Yueyin, and Gao Huaguang. "Research on data fusion method for archaeological site identification." In 2012 International Conference on Image Analysis and Signal Processing (IASP). IEEE, 2012. http://dx.doi.org/10.1109/iasp.2012.6425068.

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Nikolov, Hristo, and Mila S. Atanasova-Zlatareva. "Obtaining ground deformations by multitemporal DInSAR processing in vicinity of archaeological site “Solnitsata-Provadia”." In Microwave Remote Sensing: Data Processing and Applications, edited by Claudia Notarnicola, Nazzareno Pierdicca, Fabio Bovenga, and Emanuele Santi. SPIE, 2021. http://dx.doi.org/10.1117/12.2599762.

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Mara, Hubert, and Robert Sablatnig. "Orientation of Fragments of Rotationally Symmetrical 3D-Shapes for Archaeological Documentation." In Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06). IEEE, 2006. http://dx.doi.org/10.1109/3dpvt.2006.105.

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Sala, Jacopo, and Neil Linford. "Processing stepped frequency continuous wave GPR systems to obtain maximum value from archaeological data sets." In 2010 13th International Conference on Ground Penetrating Radar (GPR 2010). IEEE, 2010. http://dx.doi.org/10.1109/icgpr.2010.5550093.

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