Classification schemes for visualization of uncertainty in digital hypothetical reconstruction

The chapter presents the methodology that has been adopted to develop a process for acquiring knowledge that is able to note and make the analysis of preliminary data and interpretation criteria used through a 3D modeling reconstructive process understandable. The classification schemes and criteria adopted aimed to validate the entire process, giving us the ability to visually assess the proper level of knowledge related to the reconstructive process, with its flaws and lacunae, and to carry out comparative operations on the set of data and information held.