Multivariate Data Visualization in Social Space
The authors present a method for analysis of social-economical data that is based on the theory of monotone systems. Their method is based on a computationally simple weight function that describes objects \"Typicality\" for a data table. They apply that method to analyze social-economical data about Estonian island Hiiumaa and show that they can detect both typical settlements and notable outliers with their method. Use of two slightly different weight functions allows the users to create novel two-dimensional conformity plot visualization for multivariate data.