Delivery zones with overlaps
Overlapping zones drawn at partial opacity on a dark basemap. Where two zones overlap the fill deepens, which turns a coverage map into a map of contention without adding a single extra layer.
Start an editable copy with this data and your current map styling.
What to look at
- Partial fill opacity makes overlaps visible instead of hiding one zone behind another.
- Dashed boundaries and small facility dots make each delivery zone traceable.
- Midnight theme with a teal service colour keeps logistics data distinct from water.
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 |
|---|---|---|
| name | text | Zone 3 |
| population_served | number | 88000 |
Rebuild it with your own data
- 1
Get your GeoJSON file ready
The example fields are name, population_served. 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
Midnight 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 dashed coverage zones use?
- This example illustrates GeoJSON data. The live preview uses GeoJSON geometry. MapCrafter reads GeoJSON 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: name, population_served. 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?
- Zones generated as geodesic circles around seeded points near central London.
More catchment maps examples
Gallery (314)- CSVHospital catchment areasCatchment polygons drawn around facility points. Catchments are the most common polygon a non-GIS user needs, and generating them from a radius is faster and more reproducible than tracing boundaries by hand.
- KMLSchool catchments across TexasLarge rural catchments with a wide radius variation, imported from KML. At this scale a fixed radius would be wrong for both a city district and a rural county, so the radius is read from the data.
- ExcelSales territories around MunichWedge-shaped territories sharing exact edges, coloured by category with revenue in the popup. Shared edges are what make a territory map look designed: independently drawn polygons leave slivers and overlaps that read as sloppiness.
Last updated 2026-10-22