OpenDig: Digital Field Archeology, Curation, Publication, and Dissemination

Vincent, Matthew L.; Kuester, Falko; Levy, Thomas E.

doi:10.5615/neareastarch.77.3.0204

Cited by 14 publications

(7 citation statements)

References 2 publications

(2 reference statements)

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“…Therefore, this technology can protect excavation site and comprehensively record detailed feature information. 3D models based on LiDAR data are useful in reconstructing and renovating cultural relics, tombs, ancient buildings and display sites more effectively than 2D ichnography (Vincent & Levy, 2014). Moreover, in concert with other scientific and technological methods, these models support archaeological field research in producing realistic and measurable scenes of historic sites that can be used to identify and analyse traces of ancient human activities (Wei, Zhang, and Zhang 2012).…”

Section: Introductionmentioning

confidence: 99%

3D spatial morphological analysis of mound tombs based on LiDAR data

et al. 2020

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Mound tombs, popular in the south Yangzi River area in Shang and Zhou Dynasties, are regional cultural remains in China. With the aims of protecting and scientifically analysing cultural relics, laser scanning technology was adopted to study Zhaihuatou mound tombs located in Nonglin Village in Tianwang town, Jiangsu Province. Multiple tombs are held within one mound in good keep and with the typical construction of centripetalism. Accurate tomb LiDAR (Light Detection And Ranging) data were acquired by applying terrestrial laser scanning technology to the field mound excavation. Subsequently, a spatial morphological analysis of the tombs was conducted on the basis of archaeological rules and GIS spatial data processing methods. Using the theory of centripetalism construction of multi-tomb-one-mounds, we proposed an algorithm to determine the concentrated area of the geometric directions of tombs, and centripetalism theory was scientifically validated in comparing results with the excavation data. Spatial data clustering methods were used to analyse and deduce the spatial distribution characteristics of the tombs. We propose and demonstrate that the burial system is in the form of family-clan aggregation, and is useful for developing research on regional burials. Experimental data show that the proposed method is a novel example of how spatial analysis can foster more precise field archaeological excavations on a large scale, and it is significant to study various types of tombs, relics and ruins.

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Section: Introductionmentioning

confidence: 99%

3D spatial morphological analysis of mound tombs based on LiDAR data

et al. 2020

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“…Currently, the range of data collection platforms commonly used on archaeological projects includes bespoke systems incorporating databases such as FAIM, often custom built by programming specialists (e.g., Fee et al 2013); off-the-shelf commercial data management software with field collection apps, such as the popular FileMaker Pro/FileMakerGo package (e.g., Banning and Hitchings 2015; Gordon, Averett, Counts, Koo et al 2016; Spigelman et al 2016); user-friendly subscription-based apps such as Wildnote and Fulcrum, which provide customizable archaeology field templates and premade digital cultural resource management (CRM) forms; and finally, DIY “open archaeology” databases built on free, open-source platforms, which are cheaper but require a higher level of in-house development skills (e.g., Cascalheira et al 2014; Knodell et al 2017; Morgan and Eve 2012; Vincent et al 2014). The reception of these field technologies has been generally, if not uniformly, positive.…”

Section: Mobile Apps and The Born-digital Revolution In Archaeologymentioning

confidence: 99%

Using the ArcGIS Collector Mobile App for Settlement Survey Data Collection in Armenia

Lindsay

Kong

2020

Adv. archaeol. pract.

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Recent years have seen the rapid adoption of digital site recording strategies following the proliferation of GPS-enabled mobile devices and data collection apps. Much of the emerging literature on digital—or paperless—archaeology, however, has focused on excavation contexts, with fewer discussions of mobile-GIS solutions on archaeological survey. This article discusses the design and implementation of a site survey workflow based on Esri's ArcGIS Collector mobile app in the context of Project ArAGATS's Kasakh Valley Archaeology Survey in northwestern Armenia. The Collector app provides a simple, map-centric user interface that allows surveyors with little-to-no GIS experience to record site locations, enter attribute data on customized digital forms, and attach photographs. With a network connection, the Collector app instantly uploads site information as GIS data to the project geodatabase and refreshes the data across surveyors’ mobile devices. Although the Collector app lacks certain GIS features and requires an institutional Esri license, we found that the native integration with our project GIS and broad access to visualization and recording tools in the app made in-field decision-making and interpretation more collaborative and inclusive across the survey team.

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“…), in other words, digital locus sheets (Levy et al 2012). OpenDig, a custom software developed by Matthew Vincent, is a mobile application for recording excavation data associated with loci (Vincent et al 2014a;Levy et al 2012). It was designed for iOS devices which are both affordable and portable.…”

Section: Data Capture/acquisitionmentioning

confidence: 99%

“…Similar to ArchField, OpenDig uses a CouchDB database that is backed up to a locally hosted field server. This step also allows for synchronization across devices (as each square/area supervisor will have a personal device for recording their own excavations), provides a central location where all data is stored, and enables data review and editing while in the field (Vincent et al 2014a). Together, OpenDig and ArchField create a unified digital recording system for all the archaeological and excavation data collected in the field (see Vincent et al (2014b) for additional discussion of the integration between ArchField and OpenDig and Levy et al (2010Levy et al ( , 2014 for its application on excavations in Jordan).…”

Section: Data Capture/acquisitionmentioning

confidence: 99%