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  4. Large-scale, collaborative imagery survey in archaeology: the Geospatial Platform for Andean Culture, History and Archaeology (GeoPACHA)
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Large-scale, collaborative imagery survey in archaeology: the Geospatial Platform for Andean Culture, History and Archaeology (GeoPACHA)

Autor(es)
Chacaltana Cortez, Sofía Consuelo
Wernke, Steven A.
Van Valkenburgh, Parker
Zimmer-Dauphinee, James
Whitlock, Bethany
Spence Morrow, Giles
Smith, Ryan
Smit, Douglas
Roque Ortega, Grecia
Ricci Jara, Kevin
Plekhov, Daniel
Oré Menéndez, Gabriela
Norman, Scotti
Marcone, Giancarlo
Mamani Calloapaza, Manuel
Kohut, Lauren
Hernández Garavito, Carla
Arkush, Elizabeth
Fecha de publicación
2024
Type
http://purl.org/coar/resource_type/c_2df8fbb1
Publisher
Cambridge University Press
Volume
98
Issue
397
Series/Report No.
Antiquity
DOI
10.15184/aqy.2023.177
Resumen
Imagery-based survey is capable of producing archaeological datasets that complement those collected through field-based survey methods, widening the scope of analysis beyond regions. The Geospatial Platform for Andean Culture, History and Archaeology (GeoPACHA) enables systematic registry of imagery survey data through a ‘federated’ approach. Using GeoPACHA, teams pursue problem-specific research questions through a common data schema and interface that allows for inter-project comparisons, analyses and syntheses. The authors present an overview of the platform's rationale and functionality, as well as a summary of results from the first survey campaign, which was carried out by six projects distributed across the central Andes, five of which are represented here.
Citation
Wernke, S. A., Van Valkenburgh, P., Zimmer-Dauphinee, J., Whitlock, B., Spence Morrow, G., Smith, R. y Arkush, E. (2024). Large-scale, collaborative imagery survey in archaeology: the Geospatial Platform for Andean Culture, History and Archaeology (GeoPACHA). Antiquity, 98(397), 155–171. doi:10.15184/aqy.2023.177
Temas

América del Sur

Andes

Estudio por satélite

Análisis de patrones ...

Grandes datos

Estudio de imágenes a...

QGIS

Nivel de acceso
http://purl.org/coar/access_right/c_abf2
Licencia de uso
https://creativecommons.org/licenses/by/4.0/
Campo del conocimiento OCDE

https://purl.org/pe-r...

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Sponsor(s)
Implementation-level funding for GeoPACHA was provided by an American Council of Learned Societies Digital Extension Grant (Steven A. Wernke, PI; Parker VanValkenburgh, co-PI). Graduate student funding and machine learning model development were supported by NSF Grant Award 2106717 (Wernke, PI) and NSF Grant Award 2106766 (VanValkenburgh, PI). Initial development of GeoPACHA was supported by a National Endowment for the Humanities Level II Digital Humanities Startup Grant (Grant HD-229071-15, Wernke, PI), and a Center for Advanced Spatial Technology (CAST) Spatial Archaeometry Research Collaborations (SPARC) grant (Wernke and VanValkenburgh, co-PIs).
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