| dc.contributor.author | Wernke, Steven | |
| dc.contributor.author | VanValkenburgh, Parker | |
| dc.contributor.author | Saito, Akira | |
| dc.date.accessioned | 2020-10-07T20:37:26Z | |
| dc.date.available | 2020-10-07T20:37:26Z | |
| dc.date.issued | 2020-02-20 | |
| dc.identifier.citation | Steven Wernke, Parker VanValkenburgh & Akira Saito (2020) Interregional Archaeology in the Age of Big Data: Building Online Collaborative Platforms for Virtual Survey in the Andes, Journal of Field Archaeology, 45:sup1, S61-S74, DOI: 10.1080/00934690.2020.1713286 | en_US |
| dc.identifier.issn | 0093-4690 | |
| dc.identifier.uri | http://hdl.handle.net/1803/16199 | |
| dc.description.abstract | Archaeologists study many phenomena that scale beyond even our most geographically expansive field methodologies. The promise of collecting archaeologically relevant data beyond the scale of regional surveys is among the most exciting prospects of the "data revolution." Yet previous efforts have either struggled to generate high-quality data within expansive regions or to use well-edited interregional datasets to address novel research questions. We discuss the development of two collaborative research projects that seek to address these problems- (Geospatial Platform for Andean Culture, History and Archaeology) and (Linked Open Gazetteer of the Andean Region). The former is an online platform facilitating virtual archaeological survey of satellite and historical aerial imagery; the latter collates primary source information on Andean places. We illustrate the potential of both tools through presentation and analysis of a comprehensive basemap of the planned colonial towns built during a mass resettlement program instituted in the viceroyalty of Peru in the 1570s C.E. | en_US |
| dc.description.sponsorship | Initial development of LOGAR and GeoPACHA were supported by funding through a National Endowment for the Humanities Office of Digital Humanities Startup Grant, a Vanderbilt University Center for Digital Humanities Faculty Fellowship, and a Vanderbilt University Chancellor's Faculty Fellowship (Wernke, P.I.). Implementation-scale funding for GeoPACHA is supported by a Digital Extension Grant from the American Council of Learned Societies (Wernke and VanValkenburgh, co-P.I.s), and a Spatial Archaeometry Research Collaborations (SPARC) grant from the Center for Advanced Spatial Technologies (CAST) at the University of Arkansas (Wernke and VanValkenburgh, Co-P.I.s). Imagery purchases were made possible by a grant from the Vanderbilt University Data Science Institute, and an in-kind grant from the DigitalGlobe Foundation (Wernke, P.I.). Computational infrastructural support was provided by the Spatial Analysis Research Laboratory, Vanderbilt University, and the Digital Archaeology Laboratory, Brown University. The ideas developed in this paper benefitted tremendously through the symposia and workshops made possible by the Japan Society for the Promotion of Science (Saito, P.I.). All errors in fact or interpretation are solely those of the authors. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Journal of Field Archaeology | en_US |
| dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. | |
| dc.source.uri | https://www.tandfonline.com/doi/full/10.1080/00934690.2020.1713286?scroll=top&needAccess=true | |
| dc.subject | survey | en_US |
| dc.subject | satellite remote sensing | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | artificial intelligence | en_US |
| dc.subject | big data | en_US |
| dc.subject | colonialism | en_US |
| dc.title | Interregional Archaeology in the Age of Big Data: Building Online Collaborative Platforms for Virtual Survey in the Andes | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | 10.1080/00934690.2020.1713286 | |
