From archaeological data to statistical analysis
DOI:
https://doi.org/10.21014/actaimeko.v13i4.1879Keywords:
landscape archaeology, topography, reliability criteria, measurement, statistical analysis, GISAbstract
A doctoral research project, discussed in May 2022, has led to a greater understanding of the settlement dynamics that took place in the Mignone Valley over the long chronological period between the 6th and 11th centuries AD. This understanding has been achieved through the recent topographical investigations conducted in the context of the Mignone Valley. The research employed the ancient land uses, the road system and the exploitation of the rich mineral deposits of the ‘Monti della Tolfa’ as 'keys' for understanding the change, employing a statistical analysis method for the evaluation of the input data on which the overall assessment of the settlement dynamics in the area was based. The contribution that will be presented here is intended to analyse the type of statistical method that underlies the evaluation of the data collected and the preliminary results that have been arrived at through the realisation of particular spatial analyses calculated in a GIS environment on the data to which the logic-statistical process has attributed the greatest 'weight'.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Federica Vacatello

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the CC BY 4.0, Creative Commons Attribution 4.0 International License.
Users are free to
- share, i.e. copy and redistribute the material in any medium or format for any purpose, even commercially;
- adapt, i.e. remix, transform, and build upon the material for any purpose, even commercially.
At the same time, the user must give appropriate credit, provide a link to the license, and indicate if changes were made.
Additional information about the license can be found at: https://creativecommons.org/licenses/by/4.0/.
Authors are
- able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).