Density maps use heatmap overlays to show where data points concentrate geographically, revealing patterns invisible in simple marker views. viz42 takes your point data, geocodes it, applies kernel density estimation, and renders an interactive MapLibre heatmap layer. Ideal for spotting hotspots in crime data, customer clusters, or environmental measurements.
Symbol maps place individual markers at each point. Density maps aggregate nearby points into a continuous heatmap, making it easier to see concentration patterns when you have many data points.
Yes. The AI sets an appropriate radius based on your data spread. You can request tighter or broader clustering in a follow-up prompt to refine the visualization.
Any list of locations works — city names, addresses, or latitude/longitude pairs. The more data points you provide, the more meaningful the density patterns will be.