Dot Map

Dot maps place symbols at geographic coordinates to show the location of features or events. They are effective for visualizing spatial distribution patterns, event locations, and point-based phenomena across geographic regions.

Example Visualization

Interactive dot map showing earthquake locations

Try this prompt

"Create an interactive dot map showing 'Global Earthquake Activity' for the past year. Generate realistic seismic data for 200 earthquakes: concentrate points along tectonic plate boundaries (Pacific Ring of Fire, Mid-Atlantic Ridge, Himalayan belt). Include magnitude (2.0-8.5 range), depth (shallow <70km, intermediate 70-300km, deep >300km), and date. Size dots by magnitude using exponential scaling (M8 = 100x larger than M5). Color by depth: shallow (red), intermediate (orange), deep (yellow). Add hover tooltips showing location name, magnitude, depth, and date. Include a magnitude legend and depth legend. Use CartoDB Positron basemap. Add zoom controls and layer toggle. Title: 'Global Seismic Activity - Past 12 Months'."

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Python Code Example

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Common Use Cases

1Event location mapping
2Store/facility locations
3Species occurrence data
4Crime incident mapping

Pro Tips

Use clustering for dense areas

Add popup information

Color-code by category or time