Advances in International Computer Science

Historic glass is an important witness to the economic and cultural exchange between the East and the West, and the differences in composition and type reflect the different technological and geological characteristics of the East and the West. Based on multivariate statistical analysis, this paper presents a multi-level correlation analysis of different categories of ancient glass from both qualitative and quantitative perspectives, and adopts a qualitative chi-square test model to find that category has a more significant effect on surface weathering. The statistical patterns were quantified and used to predict the pre-weathering chemical content of the weathering sites, and the statistical patterns of each feature and its relationship were explored to provide a statistical basis for determining the type and composition of ancient glass samples. By analysing the relationships between surface weathering and three qualitative variables, seven chemical constituents, including silica and potassium oxide, were found to be significantly associated with category and surface weathering.

Glass artefacts; Analysis of variance; Chi-square test