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Estimating the Reliability of Digital Data Acquisition in Cultural Astronomy

Authors: Andrea Rodríguez-Antón; A. César González-García; Juan Antonio Belmonte;

Estimating the Reliability of Digital Data Acquisition in Cultural Astronomy

Abstract

Digital tools are increasingly used in cultural astronomy, so that it is now more important than ever to assess their precision and reliability, and to identify what uncertainties they may introduce. The present work aims to address these issues by comparing a dataset of orientations of Roman cities in the Iberian Peninsula measured in situ with measurements of the same structures obtained through different digital tools. By this, it is possible to estimate the errors that using these techniques introduce and to establish precision limits to data in future work. The results of this preliminary study are then implemented in an archaeoastronomical research project in North Africa, where some on-site measurements had been made in previous fieldwork campaigns by members of the group prior to the current political unrest that now prevents work at some sites in the region. In these instances, Google Earth Pro (2017) and HeyWhatsThat (Kosowsky 2012) have been key tools that have allowed us to complete a survey stretching from present-day Morocco to Libya, as well as to extract a preliminary outline of orientation trends in Roman Africa.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
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