South American cities
Labelled city points with collision avoidance, sized by metro population. Labels are the most expensive thing on a map: they must be large enough to read, few enough to not overlap, and placed so they describe the mark they belong to.
Start an editable copy with this data and your current map styling.
What to look at
- Label collision avoidance drops lower-priority labels instead of overprinting them.
- Labels carry a halo sampled from the basemap so they stay readable over any fill.
- Symbol size uses area, not radius, so the largest city is not four times too big.
Source columns
These fields describe the example data. CSV and Excel use first-row headers; GIS formats store geometry and feature properties. Required geometry depends on the map type.
| Column | Type | Example |
|---|---|---|
| city | text | Lima |
| population | number | 10391000 |
Rebuild it with your own data
- 1
Get your CSV file ready
The example fields are city, population. For CSV or Excel, put headers in the first row. GIS files carry geometry and feature properties. Prepare any grid, catchment or route geometry before import.
- 2
Drop it into the studio
MapCrafter detects the geometry, counts the features, and shows the layers it found.
- 3
Style the imported layer
Pick which column drives colour, and which drives size or width where relevant.
- 4
Pick a basemap theme
Mint is used here. 15 other basemaps are available, including official OpenFreeMap styles. Switch using Layers & basemap.
- 5
Share or export
Publish a link, embed the map, or export a PNG at print resolution.
Questions about this example
- What file format does this proportional symbol use?
- This example illustrates CSV data. The live preview uses GeoJSON geometry. MapCrafter reads CSV directly, along with Excel, CSV, KML, KMZ, GPX, GeoJSON, TopoJSON and zipped Shapefile. No conversion step and no desktop software.
- What columns does the source data need?
- The file used here has 2 columns: city, population. For tabular imports, supply coordinate columns, WKT or GeoJSON geometry, or address columns for an explicit geocoding step. Polygon and line files carry their geometry separately from these attributes.
- Can I use my own data with this map type?
- Yes. Open the studio, drop in your file, and MapCrafter detects the geometry and applies a starting style. Then style the layer and choose which property drives colour, size or width. The studio can render a point heatmap, but grids, routes and catchment polygons must be prepared before import.
- Can I export or share the finished map?
- Each map can be published to a short share link, embedded in another page with an iframe, or exported as a print-resolution PNG. The cleaned-up geometry can also be exported as GeoJSON. All of that is available on the free tier.
- Where does the data in this example come from?
- Real city coordinates; metro populations are rounded estimates for relative sizing.
More bubble maps examples
Gallery (314)- CSVMetro areas sized by populationProportional circles for the world’s largest metro areas. Symbol area scales with the value, not the radius, which is the difference between a map that communicates magnitude and one that exaggerates it by a factor of four.
- CSVAir quality stations across EuropeSensor readings on a sequential colour scale, so brighter marks reveal higher simulated measurements. Larger station symbols keep each city cluster visible at a continental scale, while the legend states the numeric intervals used by the colours.
- GeoJSONA sensor network coloured by readingPoint data coloured on a sequential ramp, one marker per station. Sequential colour on symbols works when the markers are large enough to compare; below about eight pixels, size or clustering carries the signal better.
Last updated 2026-10-22