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Advances in Digital Archaeology: Proceedings of the 2023 conference Computer Applications and Quantitative Methods in Archaeology 50 years of synergy [Pehme köide]

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  • Formaat: Paperback / softback, 340 pages, kõrgus x laius: 280x210 mm, 183fc / 21bw
  • Ilmumisaeg: 30-Apr-2026
  • Kirjastus: Sidestone Press
  • ISBN-10: 9464271353
  • ISBN-13: 9789464271355
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  • Formaat: Paperback / softback, 340 pages, kõrgus x laius: 280x210 mm, 183fc / 21bw
  • Ilmumisaeg: 30-Apr-2026
  • Kirjastus: Sidestone Press
  • ISBN-10: 9464271353
  • ISBN-13: 9789464271355
Teised raamatud teemal:
Collection of papers reflecting state-of-the-art digital approaches in the field of archaeology, presented at the Proceedings of the 50th Conference on Computer Applications and Quantitative Methods in Archaeology (CAA).

This volume showcases cutting-edge research in digital archaeology, presenting 27 chapters that explore how computational methods are transforming archaeological fieldwork, analysis, data management, and interpretation. Topics range from AI applications in artefact classification and spatial modelling, to 3D reconstructions, machine learning, remote sensing, and natural language processing. The contributions highlight the integration of digital tools with archaeological theory, demonstrating how this synergy is reshaping the discipline and expanding its methodological frontiers.

Spanning case studies from Jordan to Northern Italy, from Viking silver hoards to Roman roads and Pompeian neighbourhoods, the volume offers an international and interdisciplinary perspective. Whether dealing with digital archiving, coin hoards, funerary networks, or bioarchaeological workflows, each chapter contributes to a nuanced understanding of how archaeologists are leveraging digital technologies to ask new questions and revisit old data.

The book originated as the proceedings of the 50th annual Computer Applications and Quantitative Methods in Archaeology (CAA) conference, held in Amsterdam in April 2023, celebrating half a century of innovation in computational archaeology.