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Taking a Humanistic Approach to Computer Visualization of Ancient Landscapes

Bibliographic Data

ID10997499
AuthorsElaine Sullivan (0000-0003-0718-7106, Department of History, University of California, Santa Cruz, corresponding author)
Year2016
Volume59
Issue2
Pages71-88
Publication date2016-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBulletin of the Institute of Classical Studies (JOURNAL)
Journal identifiersISSN: 0076-0730 • E-ISSN: 2041-5370
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.2041-5370.2016.12039.x
OpenAlexW2562202262
LanguageEN
Citations received3

Using advances in Geographic Information Systems (GIS) and 3D technologies, scholars of the ancient world are digitally reconstructing entire historic landscapes. For multi-phased sites, the ability to isolate and interrogate complex layers of occupation offers exciting potential for the study of now-altered built and natural environments. While quantitative studies based on GIS data are common in the field of archaeology, this article argues that humanities-based approaches have equal importance. It is specifically the combination of spatial and temporal data that creates new access points from which to address the changing cultural meaning of place. Chronological reconstruction models allow scholars to resituate the human viewpoint into potential past environments, exploring aspects of experience that changed through time and space. Utilizing a visualization of the ancient Egyptian site of Saqqara, this work demonstrates how digital reconstructions of past landscapes address qualitative questions in innovative ways and are changing scholarship in archaeology

Archaeology · Data science · Epistemology · Field (mathematics · Geography · Humanism · Meaning (existential · Natural (archaeology · Scholarship · Space (punctuation) · Visualization · Ancient Egypt and Archaeology · Ancient Mediterranean Archaeology and History · Archaeological Research and Protection · Artificial Intelligence · Computer Science · History

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Unique citing works3
Citations per year0.5
Citation span2020 - 2023 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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