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Über Computational Approaches to the Study of Movement in Archaeology

This book contains a collection of papers discussing questions related to space and movement in the framework of computational archaeology, landscape archaeology, historical geography and archaeological theory. The contributions, written by recognized experts in the field, show how the study of settlements pattern and movement has been dramatically transformed by the use of technology like Geographic Information System (GIS). The papers focus on the ways to approach past movement using GIS in archaeological landscape studies: theoretical, technical and interpretative issues are addressed and explored. They provide the state of the art in theory and methodology and show, by using case studies, the potential of the developed approaches for the understanding of factors and effects of landscape formation and transformation in the long term.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783110288315
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 144
  • Veröffentlicht:
  • 26. Mai 2014
  • Abmessungen:
  • 175x14x246 mm.
  • Gewicht:
  • 435 g.
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Beschreibung von Computational Approaches to the Study of Movement in Archaeology

This book contains a collection of papers discussing questions related to space and movement in the framework of computational archaeology, landscape archaeology, historical geography and archaeological theory. The contributions, written by recognized experts in the field, show how the study of settlements pattern and movement has been dramatically transformed by the use of technology like Geographic Information System (GIS). The papers focus on the ways to approach past movement using GIS in archaeological landscape studies: theoretical, technical and interpretative issues are addressed and explored. They provide the state of the art in theory and methodology and show, by using case studies, the potential of the developed approaches for the understanding of factors and effects of landscape formation and transformation in the long term.

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