dc.contributor.author |
Fiz Fernández, Ignacio |
dc.contributor.author |
Gorostidi, Diana |
dc.contributor.author |
López Vilar, Jordi |
dc.contributor.author |
Prevosti, Marta |
dc.contributor.author |
Abela, Josep |
dc.date.accessioned |
2014-05-16T08:05:33Z |
dc.date.available |
2014-05-16T08:05:33Z |
dc.date.created |
2013 |
dc.date.issued |
2013 |
dc.identifier.citation |
Fiz, I.; Gorostidi, D.; Prevosti, M.; López Vilar, J.; Abela, J. (2013) «In conspectu prope totius urbis: an application of different visual methods at the ager Tarraconensis landscape» XXXVIII Conference on Computer Applications and Quantitative Methods in Archaeology in Archaeology, Conference on Computer Applications in Archaeology 2010. Fusion of Cultures. Proceedings of 38th Annual Conference on Computers Applications and Quantitative Methods in Archaeology, BAR International Series 2494, 185-192 |
dc.identifier.uri |
http://hdl.handle.net/2072/229718 |
dc.format.extent |
7 p. |
dc.language.iso |
eng |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-sa/3.0/es/ |
dc.source |
RECERCAT (Dipòsit de la Recerca de Catalunya) |
dc.subject.other |
Arqueologia del paisatge -- Camp de Tarragona (Catalunya) |
dc.subject.other |
Tarragona (Catalunya) -- Arqueologia romana |
dc.title |
In conspectu prope totius urbis: an application of different visual methods at the ager Tarraconensis landscape |
dc.type |
info:eu-repo/semantics/bookPart |
dc.subject.udc |
90 - Arqueologia. Prehistòria |
dc.embargo.terms |
cap |
dc.description.abstract |
We present in this paper the results of the application of several visual methods on a group of locations, dated between VI and I centuries BC, of the ager Tarraconensis (Tarragona, Spain) a Hinterland of the roman colony of Tarraco. The difficulty in interpreting the diverse results in a combined way has been resolved by means of the use of statistical methods, such as Principal Components Analysis (PCA) and K-means clustering analysis. These methods have allowed us to carry out site classifications in function of the landscape's visual structure that contains them and of the visual relationships that could be given among them. |