Multivariate Mapping techniques and Immersive Virtual Environments
Ondřej Kvarda, Zdeněk Stachoň · Abstracts of the ICA · 2022
Multivariate mapping methods encode multiple data variables using multiple cartographic visual variables.These can be represented (but are not limited to) by several well-known and used methods such as bi-or multivariate choropleth maps which use colour or texture as their distinguishing variable, ray-glyph/polygonal-glyph, stick-figures (sometimes also called trees), spoke glyph, Chernoff faces, data jack, chart map (pie, bar, stack, radar, etc.), or simple bi-or multivariate point symbol (e.g.geometric) (Slocum et al., 2005).The point symbols can change their dimensions (or dimension of their parts), form, or prominent attributes (in the case of Chernoff faces) to represent these values and can be represented as either 2D or 3D objects.