{"version":"1.0","type":"rich","title":"CartoDB Point Clustering","description":"This example demonstrates point clustering on a map using CartoDB, visualizing tornado data with adaptive hexagon grids. The SQL template computes three levels of hexagonal clusters (bigs, mids, smalls) based on point density, while CartoCSS styles the markers with different sizes and labels according to cluster level. As users zoom in, the marker sizes and cluster classifications update dynamically. Clicking a point reveals the number of tornadoes in that cluster, providing an interactive summary of spatial distribution.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-8360694?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}