Tutorial: Compute the Mean Center(Built-in Method)

Adding the Starbucks Layer

1. Launch QGIS.
2. Add Starbucks Layer(sbucks.gpkg) from the Sample Data.
3. Result: 

The locations of Starbucks stores in the Gangnam area of Seoul are added as point features on the QGIS canvas.

For attribute information of this file, see Checking the Attribute Table.

Adding the Mean Center

[1] With the Starbucks layer selected, go to Vector → Analysis Tools → Mean Coordinate(s)...

[2] Confirm the input layer shows sbucks [EPSG:5179], then click Run.

[3] Result: The mean center point is added to the canvas.

In the Mean Coordinate(s) tool:
• Weight field lets you compute a weighted mean center using an attribute (e.g., number of seats, sales volume, or employees). If you choose sales volume as the weight, the mean center reflects where sales are geographically concentrated.
• Unique ID field enables separate mean centers for each group. For example, if the administrative district is stored in an attribute, selecting that field will compute a mean center for each district.