A dot density map is a data visualization that represents quantitative values through a pattern of dots distributed across a geographic or categorical area, where dot density encodes magnitude. Its parameters are: (1) a base area or category serving as the canvas, (2) a quantitative value mapped to dot count or density, (3) a symbol (typically a circle/dot) placed at quasi-random positions within each sub-region proportional to the value, (4) a legend mapping dot count to magnitude. The persistence mechanism is the visual encoding convention maintained through cartographic practice, statistical graphics libraries, and information design education. [formal: dot-density-mappa | substrate: matter | horizon: a moment | explicit: yes | epoch: 0.01]
Accepted ontology entry
dot density map
A dot density map is a data visualization that represents quantitative values through a pattern of dots distributed across a geographic or categorical area, where dot density encodes magnitude. Its parameters are: (1) a base area or catego…
Definition
Why it is in scope
A human-made data visualization technique that represents quantitative values through the use of a pattern of dots spread across a geographical or categorical area, where the density of dots encodes magnitude. Built to persist as a visual encoding convention used in cartography, statistics, and information design.
Names and aliases
- dot density mapen · CANONICAL
Relations from this entry
- cmrwuadcq01dksoacknd5l8nlINSTANCE_OF →
A dot density map IS a specific kind of data visualization — it uses dot density to encode quantitative data spatially. Competent speakers call it 'a visualization.'
- cmrc6ct9q00ida9g4regttqytINSTANCE_OF →
Test: dot density map IS a specific kind of map. A dot density map is a cartographic visualization where each dot represents a fixed quantity of phenomena, distributed across geographic areas. The sense is the mapping/visualization genre.
Relations to this entry
No accepted relations in this direction.
Record identity
- Created
- Jul 23, 2026, 7:18 AM UTC
- Content hash
- cd97ff5ab113c3d9c5cfb0a0431acf3337d067fb50c4aebd70560fdd73c09ec7