based on a summary of the uncertainty levels of the location
and form of the reconstructed element, along with the color code.
© Igor Bajena
Any digital restoration runs the risk of literalising the message. Therefore, following the completion of the project, an attempt was made in the preparation of this edition to assess the level of uncertainty of the final reconstruction option. To this end, the object was divided into symantic elements and the level of uncertainty was assessed in two categories: the location of the element in space and its form.
A five-point rating scale was adopted for both categories. Level 1 (uncertainty in the range of 0-45%) indicates that archaeological excavations are the basis for the assumptions. Level 2 (uncertainty in the range of 46-65%) means the assumptions are based on deductions complementing the findings of the excavations. Level 3 (uncertainty within 66-75%) involves assumptions based on logical deduction derived from the excavated form. Level 4 (uncertainty within 76-90%) relies on analogies from the same region and period. Level 5 (uncertainty between 91-100%) is based mainly on personal knowledge. The percentage level for each element was calculated as an average. The final result, however, was illustrated on a six-point scale to better visualize the nuances in the differences of high levels of uncertainty.
The preparation of the methodological and colour study was inspired by existing solutions for the assessment of uncertainty (Cazzaro, 2023; Apolonio et al. 2024).
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BIBLIOGRAPHY
1. Apollonio, F. I., Fallavollita, F., Foschi, R., & Smurra, R. (2024). Multi-Feature Uncertainty Analysis for Urban-Scale Hypothetical 3D Reconstructions: Piazza delle Erbe Case Study. Heritage, 7(1), Article 1, https://doi.org/10.3390/heritage7010023.
2. Cazzaro, I. (2023). Digital 3D reconstruction as a research environment in art and architecture history: Uncertainty classification and visualisation [Doctoral Thesis, Alma Mater Studiorum - Università di Bologna], https://doi.org/10.48676/unibo/amsdottorato/10817.