{"version":"1.0","type":"rich","title":"d3 + maps = webGIS","description":"This interactive map visualizes average HCC risk scores across U.S. counties, using Medicare physician utilization data from 2013. Counties are colored with a YlGn sequential color scale from ColorBrewer, encoding the aggregated risk scores. The application leverages a modern GIS stack—PostGIS with TIGER census geographies—to join zip-level HCC scores to counties via spatial queries, then exports the aggregated results as GeoJSON/TopoJSON for rendering in the browser. Built with D3.js, the visualization supports smooth panning and zooming over an SVG map of the United States, with county boundaries and a color legend, enabling users to explore regional variations in HCC risk scores. The project demonstrates how to combine PostGIS spatial data processing with D3's data-driven capabilities to create an interactive web GIS application.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-53969812b112dc91c2ef?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}