About Spatial Clustering

Clustering allows you to identify patterns and understand the data distribution.

General clustering is the task of assigning a label to an observation so that observations with the same label share common characteristics. The same applies to spatial clustering algorithms, with the difference that these algorithms add a spatial context, so not only observations with the same label share common properties but they also are geographically connected.

This allows us to identify patterns and understand the data distribution. The same applies to spatial clustering algorithms, with the difference that these algorithms add a spatial context, so not only observations with the same label share common properties but they also are geographically connected.