What is the term for visualizing more than two data sets on a single map?

The term "multivariate displays" refers to the visualization of more than two data sets on a single map. This technique is particularly valuable in geospatial analysis, as it allows for the simultaneous representation of various variables or factors, enabling users to discern complex relationships and patterns within the data. By combining multiple datasets, users can gain a more comprehensive understanding of spatial phenomena, leading to better decision-making and analysis.

Multivariate displays can take many forms, including the use of color gradients, varying sizes of symbols, overlays, or even interactive features that allow users to toggle between datasets. This enhances the map's informational richness and clarity, allowing analysts and stakeholders to explore the interplay between different geographic elements effectively.

In contrast, layering refers to the technique of stacking different data sets on top of each other, which may or may not effectively showcase multiple datasets in a single visual format. Web mapping involves creating interactive maps accessible through the internet but is not specifically focused on the concept of visualizing multiple datasets. Dot mapping is a technique that uses points to represent the distribution of a single attribute across space and does not convey multi-variable data effectively like multivariate displays do.