2,747 research outputs found

    Geospatial modeling approach to monument construction using Michigan from A.D. 1000–1600 as a case study

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    Building monuments was one way that past societies reconfigured their landscapes in response to shifting social and ecological factors. Understanding the connections between those factors and monument construction is critical, especially when multiple types of monuments were constructed across the same landscape. Geospatial technologies enable past cultural activities and environmental variables to be examined together at large scales. Many geospatial modeling approaches, however, are not designed for presence-only (occurrence) data, which can be limiting given that many archaeological site records are presence only. We use maximum entropy modeling (MaxEnt), which works with presence-only data, to predict the distribution of monuments across large landscapes, and we analyze MaxEnt output to quantify the contributions of spatioenvironmental variables to predicted distributions. We apply our approach to co-occurring Late Precontact (ca. A.D. 1000–1600) monuments in Michigan: (i) mounds and (ii) earthwork enclosures. Many of these features have been destroyed by modern development, and therefore, we conducted archival research to develop our monument occurrence database. We modeled each monument type separately using the same input variables. Analyzing variable contribution to MaxEnt output, we show that mound and enclosure landscape suitability was driven by contrasting variables. Proximity to inland lakes was key to mound placement, and proximity to rivers was key to sacred enclosures. This juxtaposition suggests that mounds met local needs for resource procurement success, whereas enclosures filled broader regional needs for intergroup exchange and shared ritual. Our study shows how MaxEnt can be used to develop sophisticated models of past cultural processes, including monument building, with imperfect, limited, presence-only data

    41SM195A, The Browning Site

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    A surface collection of early 19 \u27 century historic sherds led to archaeological investigations in 2002 and 2003 at the Browning site (41SM195A) in eastern Smith County, Texas. My interest was whetted by mention in the original land abstract that the property had once been deeded to the Cherokee Indians. In all, a total of 6.5 cubic meters of archaeological deposits was excavated at the site, including 22 shovel tests and 10 1 x 1 m test units, and fine-screen and flotation samples were taken from a prehistoric midden deposit identified during the work. As a result, 1075 prehistoric and historic artifacts were recovered, along with new information about Woodland period archaeology in this part of East Texas. The initial shovel tests found, in addition to the historic component, a buried midden with evidence of Woodland period occupation. Based on the excavations, the midden covered approximately 500 square meters. The 19th century historic artifacts were found in the upper sediment zone, a brown sandy loam that was mostly gravel- free) covering the midden. The buried midden was a dark yellowish-brown gravelly loam that contained prehistoric pottery, animal bone, charred wood and nutshells, lithic materials, including lithic debris, flake tools, arrow and dart points, and ground stone tools. A calibrated radiocarbon date of A.D. 625 to 880, with a calibrated intercept of A.D. 685, was obtained on charred nutshell from 40-50 em bs in the midden zone. A series of Oxidizable Carbon Ratio (OCR) dates from the midden indicate that the midden began to from about A.D. 147, with dates of A.D. 357-815 from the main part of the midden, indicating when the Browning site was most intensively occupied in prehistoric times

    Automated mound detection using LiDAR and Object-Based Image Analysis in Beaufort County, SC

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    The study of prehistoric anthropogenic mounded features– earthen mounds, shell heaps, and shell rings – in the American Southeast is stymied by the spotty distribution of systematic surveys across the region. Many extant, yet unidentified, archaeological mound features continue to evade detection due to the heavily forested canopies that occupy large areas of the region, making pedestrian surveys difficult and preventing aerial observation. The use of object-based image analysis (OBIA) as a tool for analysing light detection and ranging (LiDAR) data, however, offers an inexpensive opportunity to address this challenge. Using publicly available LiDAR data from Beaufort County, South Carolina and an OBIA approach that incorporates morphometric classification and statistical template matching, we systematically identify over 150 previously undetected archaeological mound features. This result improves our overall knowledge of settlement patterns by providing a systematic knowledge about prehistoric landscapes

    Enhancing Humanities Research Productivity in a Collaborative Data Sharing Environment

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    This project represents a multi-organizational, interdisciplinary effort to enhance collaborative research in cultural heritage fields by exploring user experience with Web-based technologies. The objective of this project is to document user needs around online systems for sharing primary data and documentation of cultural heritage collections. To this end, we will draw upon the experience and insights of representatives from different stakeholder groups in three broad arenas: academic researchers, heritage managers, and specialist communities. Investigations undertaken in this study will result in best-practice guidelines to guide humanities computing efforts on how to best meet the diverse user needs in future online data sharing systems. Using an iterative cycle of development, deployment, and evaluation, this project will enhance Open Context, a collaborative, open-access data sharing system already in use for archaeology and related disciplines

    A Digital Registry for Archaeological Find Spots and Excavation Documentation in IANUS

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    Grey literature (site notebooks, reports etc.) and research data in archaeology are invaluable sources of information currently lacking a central reference registry in Germany. This paper discusses requirements and the underlying data model of a registry to be developed for find spots and archaeological excavation data within the IANUS project at the German Archaeological Institute. This registry is to collect information on archaeological investigations data for a finding aid service. The focus for this registry will be based on the collection of metadata about primary data and grey literature, not on secondary data or on publications. Starting with the acquisition of basic metadata needs drawn from the IANUS mission and project charter. A review of already existing projects and initiatives in this field (EDNA, tDAR, ADS, Open Context) provides more details about which information should be captured during a registration of research data for a long term digital preservation archive. Finally recommendations for the data model of this registry are drawn from the evaluation of existing generic and archaeology-specific metadata standards (Dublin Core, EDM, LIDO, ADeX, CARARE)

    From the archaeological record to ArchaeoBIM: the case study of the Etruscan temple of Uni in Marzabotto

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    [EN] The digital reconstruction of the recently discovered Tuscanic temple of Uni in Marzabotto gave the chance to test the application of the Building Information Modeling (BIM) process to the combined fields of Archaeology and Engineering. In addition to the traditional historic and archaeological analysis, a new methodology in Experimental Archaeology is proposed; it proved to be original and innovative in the examination of the buried building, taking advantage of technologies focused on the architectural reliability validated by inferred digital models. The peculiar aspect of the research involves the elements at the beginning of the process, which consist of foundations or negative archaeological evidences only, supported by the clues and the rules that can be found in the historic and scientific literature. To better define this distinctive working process, the expression ArchaeoBIM was proposed, which highlights the common BIM matrix used for the data management through one or more analytical models, applied to the peculiar aspects of the Archaeological discipline.This work was supported by the Italian Ministry of Education, Universities and Research (MIUR) concerning the “Future in Research” program FIR 2013, under Grant RBFR13X8CN. The authors would like to thank Giuseppe Sassatelli and Elisabetta Govi, respectively former and current director of the University of Bologna excavations in Marzabotto, and the Superintendence for Archaeological Heritage of Emilia-Romagna.Garagnani, S.; Gaucci, A.; Gruška, B. (2016). From the archaeological record to ArchaeoBIM: the case study of the Etruscan temple of Uni in Marzabotto. Virtual Archaeology Review. 7(15):77-86. https://doi.org/10.4995/var.2016.5846SWORD7786715Baglione, M.P. (2014). Pyrgi, un santuario nel cuore del Mediterraneo. InF. 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Bologna: Ante quem.Murphy, M., McGovern, E., & Pavia, S. (2013). Historic Building Information Modelling – Adding intelligence to laser and image based surveys of European classical architecture. ISPRS Journal of Photogrammetry and Remote Sensing, 76, 89-102. doi:10.1016/j.isprsjprs.2012.11.006Nieto, J. E., Moyano, J. J., Rico Delgado, F., & Antón García, D. (2016). Management of built heritage via HBIM Project: A case of study of flooring and tiling. Virtual Archaeology Review, 7(14), 1. doi:10.4995/var.2016.4349Pizzirani, C., & Pozzi, A. (2010). Laterizi e materiali da costruzione. InGovi, E.& Sassatelli, G. (Eds.), Marzabotto. La Casa 1 della RegioIV -Insula2 (pp. 285–313). Bologna: Ante quem.Potts, C.R. (2011). The development and architectural significance of earlyEtrusco-Italic podia. Babesch, 86, 41–52.Quattrini, R., Malinverni, E. S., Clini, P., Nespeca, R., & Orlietti, E. (2015). FROM TLS TO HBIM. HIGH QUALITY SEMANTICALLY-AWARE 3D MODELING OF COMPLEX ARCHITECTURE. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W4, 367-374. doi:10.5194/isprsarchives-xl-5-w4-367-2015Remondino, F., & El-Hakim, S. (2006). Image-based 3D Modelling: A Review. The Photogrammetric Record, 21(115), 269-291. doi:10.1111/j.1477-9730.2006.00383.xSassatelli, G. (2009). Il tempio di Tinaa Marzabotto e i culti della città etrusca. In G. Cresci Marrone & M. Tirelli (Eds.), Altnoi. Il santuario altinate: strutture del sacro a confronto e i luoghi di culto lungo la via Annia(pp. 325–344). Roma: Quasar.Sassatelli, G.,& Govi, E. (Eds.)(2005a). Culti, forma urbana e artigianato a Marzabotto. Nuove prospettive di ricerca. Bologna: Ante quem.Sassatelli, G. & Govi, E. (2005b). Il tempio di Tinain area urbana. In Sassatelli & Govi (Eds), Culti, forma urbana eartigianato a Marzabotto. Nuove prospettive di ricerca (pp. 9–62). Bologna: Ante quem.Tang, P., Huber, D., Akinci, B., Lipman, R., & Lytle, A. (2010). Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Automation in Construction, 19(7), 829-843. doi:10.1016/j.autcon.2010.06.00
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