Scatter Map

Scatter Map

A scatter map is the geographic equivalent of a scatterplot — each data point is placed at its precise location on the map as a dot, with no aggregation or regional averaging. This makes it the most granular of all geospatial chart types, preserving the full resolution of the underlying dataset.

• Raw distribution visibility

  Every individual event, record, or observation is represented, making it possible to see exactly where things happen — not just which region they fall in.

• Cluster & gap detection 

  Dense concentrations of dots reveal hotspots, while empty areas highlight where activity is absent. These patterns are often invisible in aggregated regional maps.

• Additional encoding

  Dot color or size can encode secondary variables such as category, magnitude, or time, turning a simple location map into a rich multi-dimensional spatial analysis.

• When to avoid it 

  With very large datasets, overplotting makes individual points indistinguishable. In such cases, use transparency, dot sizing, or switch to a density or heatmap layer to preserve pattern visibility.

Best suited for incident mapping, customer location analysis, field asset tracking, and any scenario where the precise geographic position of individual records is the primary analytical concern.