Identifying hotspots and high-density complaint clusters across Ahmedabad
Analyzing geospatial data patterns...
Detected in last 24h
Unlike a Heat Map which shows intensity across a continuous surface, a Cluster Map groups individual data points together based on their proximity. This allows municipal officers to identify specific "problem pockets" where multiple related complaints are originating from the same neighborhood or street.
Deploy teams to high-density clusters first for maximum impact.
Spot emerging issues before they spread to other zones.
Target specific infrastructure repairs based on local grievance clusters.