3D-GIS as a Platform for Visual Analysis : Investigating a Pompeian House
Författare
Summary, in English
The aim of the present work is to introduce an innovative framework for employing 3D-GIS as an exploratory platform to perform visual analysis. Such a methodology is aimed at detecting patterns of visibility to simulate the past human perception of specific categories of artifacts placed inside a virtually reconstructed three-dimensional space. As a case study, the house of Caecilius Iucundus in Pompeii (regio V, insula 1, entrances 23 and 26) was chosen and two media of visual communication, a painting and a graffito were tested to make an assessment of their visual impact on hypothetical observers. The approach consists of a vector-based line-of-sight (LOS) analysis, now available as an integral component of the 3D-analyst toolkit of the ESRI ArcGIS 10.x software package. This toolkit allowed us to perform the entire process inside a GIS environment, without splitting the tasks among different software platforms.
It was thus possible to detect a significant difference in terms of visibility among the observed objects.
It was thus possible to detect a significant difference in terms of visibility among the observed objects.
Avdelning/ar
- Institutionen för arkeologi och antikens historia
- Digital Archaeology Laboratory DARK Lab
- Arkeologi
- Antikens kultur och samhällsliv
Publiceringsår
2016
Språk
Engelska
Sidor
103-113
Publikation/Tidskrift/Serie
Journal of Archaeological Science
Volym
65
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
Academic Press
Ämne
- Archaeology
Nyckelord
- Visualscape analysis
- 3D GIS
- GIS
- Classical Archaeology
- Archaeology
- Digital Archaeology
Status
Published
Projekt
- 3D GIS: a Research Platform for the Development of New Research Methodologies for the Documentation and Analysis of Archaeological Sites.
- Exploring Pompeian Graffiti in 3D Space
- Space and Movement in a Pompeian house: the contribution of 3D GIS
Forskningsgrupp
- Updating Pompeii-HT_760
- Digital Archaeology Laboratory DARK Lab
ISBN/ISSN/Övrigt
- ISSN: 1095-9238