
doi: 10.23914/ap.v8i2.151
One of the main goals of the MEMOLA research project's open-area excavation at Pago del Jarafí (Lanteira, Granada, Spain) was to promote knowledge socialisation by means of imparting information and public participation. The site, a multi-phased rural settlement with cemeteries of different chronologies and cultural affinities, was subject to a complete 3D photogrammetric survey, a tool serving to develop virtual models both to interpret the excavation and subsequently transmit the results to the public – so as to raise their level of engagement - via social networks and websites. Burials, in particular, are features that attract the local population to the site and arouse both a demand for information and site preservation. 3D modelling of the burials is thus a digital resource bearing a high scientific and social potential when integrated in a strategy reaching beyond the technical aspects. This paper therefore considers the 3D modelling of burials as an innovative form of digital public mortuary archaeology.
funerary context, virtual archaeology, Pago del Jarafí, Pago del JarafÃ, 3D modelling, general public, MEMOLA project
funerary context, virtual archaeology, Pago del Jarafí, Pago del JarafÃ, 3D modelling, general public, MEMOLA project
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
