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Books > Humanities > Archaeology > Archaeology by period / region > European archaeology > Classical Greek & Roman archaeology
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Visualizing cityscapes of Classical antiquity: from early modern reconstruction drawings to digital 3D models - With a case study from the ancient town of Koroneia in Boeotia, Greece (Paperback)
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Visualizing cityscapes of Classical antiquity: from early modern reconstruction drawings to digital 3D models - With a case study from the ancient town of Koroneia in Boeotia, Greece (Paperback)
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The amount of 3D modelling applications in archaeology has
increased enourmously over the last decade. 3D recording techniques
allow researchers to quickly and accurately document archaeological
evidence, and 3D reconstructions have created new possibilities to
communicate the results to a larger public. In this latter case,
however, numerous scholars have expressed their concern regarding
the ethics of such digital representations, since they give
prominence to a crystallized image of the past and do not account
for the complexity of the archaeological record. The study
presented here aims to make a practical contribution to a new
understanding and use of 3D reconstructions, namely as
'laboratories' to test hypotheses and visualize, evaluate and
discuss alternative interpretations. In order to do so, an analysis
of visual reconstructions of the early and late modern period is
presented first, followed by a discussion of current applications
of 3D digital reconstructions, with a special focus on cityscapes.
Lastly, a practical implementation of a research-driven,
intellectually transparent and GIS-based 3D reconstruction is
proposed for the urban site of Koroneia, in Boeotia, Central
Greece. Specifically, the methodology developed in this work uses
tools that are employed in geo-design and modern urban planning in
an innovative way, integrating GIS with a rule-based modelling
approach. With a strong focus on the automation and iteration of
the reconstruction process, our 3D visualization provides an
intuitive insight into hidden relationships and associations among
data, and allows the creation and evaluation of alternative
reconstruction hypotheses.
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