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Maps

Clustered-marker map

Combines nearby markers into clusters at the current map scale.

  • Map
  • Geography
  • Aggregation

What it answers

Where are many nearby mapped records?

Shape
Grouped point markers and counts
What it shows
Local counts and point concentration.

Example

The question

Where are our service engineers right now?

Service engineers on the road, grouped when close together

Service engineers on the road, grouped when close togetherNearby engineers are grouped into circles with a count (12, 7, 18 and 3); three engineers working alone show as single pins. Zooming in would split the groups.127183Circles: groups ofengineers, with countPins: single engineers
Service engineers on the road, grouped when close togetherNearby engineers are grouped into circles with a count (12, 7, 18 and 3); three engineers working alone show as single pins. Zooming in would split the groups.127183
Nearby engineers are grouped into circles with a count (12, 7, 18 and 3); three engineers working alone show as single pins. Zooming in would split the groups.

Illustrative data. It belongs to no company.

When to use it

Use it when

Dense point maps where overlap hides records.

Avoid it when

When zoom-dependent groups are treated as stable analytical clusters.

How to read it

Read cluster count, then zoom to inspect individual markers.

Note

Clusters depend on algorithm and zoom.

The data you need

Layout
Long table
Fields
LocationID: text; Longitude,Latitude: numbers
One row is
One point feature. What is the grain?
Rules
Use valid coordinates in a stated CRS and stable IDs. Define duplicate-location handling.
Optional
For unweighted density, each point may have weight 1. Project coordinates appropriately for distance calculations.
Preparation
Validate the input grain and missing values. Use valid coordinates in a stated CRS and stable IDs. Define duplicate-location handling.
Units
Cluster label is count of included point records at the current zoom/algorithm settings.
Example of the input layout: Long tableA long table: one row per observation, few columns. New data adds rows.LocationIDLongitudeLatitudeAABBC
A long table: one row per observation, few columns. New data adds rows.

Worked example

Three nearby records combine into a marker labelled 3 at one zoom. Zooming in separates the original records.

LocationIDLongitudeLatitude
A18.0759.33
B11.9757.71
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