What are the best practices for using SQL to perform spatial clustering?
Spatial clustering is a technique that groups nearby geographic features based on their location, attributes, or relationships. It can help you identify patterns, trends, outliers, and hotspots in your spatial data. SQL, or Structured Query Language, is a powerful tool that can perform spatial clustering on spatial databases, such as PostGIS, Oracle Spatial, or SQL Server. In this article, you will learn some of the best practices for using SQL to perform spatial clustering, such as choosing the right clustering algorithm, optimizing the query performance, and visualizing the results.