{"version":"1.0","type":"rich","title":"CartoDB Point Clustering","description":"This example demonstrates point clustering on a map using CartoDB, showing how thousands of tornado records can be aggregated into hierarchical groups of different sizes. The visualization uses an SQL query with ST_SnapToGrid to cluster points at multiple scales, dynamically adjusting the cluster radius based on zoom level and a slider control. CartoCSS styles differentiate the cluster sizes, and clicking a point reveals the individual records it contains. The map is embedded with Google Maps and uses CartoDB.js, with an interactive side panel for cluster-size adjustments.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-8695353?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}