Facility types marked by shape in New York
Pins, triangles and squares distinguish three types of facility, with colour providing a second cue. Each group is a separate editable layer with names and popups. The example uses hypothetical facilities to demonstrate a multi-symbol map without claiming to be a real service directory.
Start an editable copy with this data and your current map styling.
What to look at
- Marker shape and colour both identify facility type.
- Three independent layers keep styling and visibility separately editable.
- Names are placed with collision avoidance to keep dense neighbourhoods readable.
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 | Hub 1 |
| facility_type | text | Clinics |
Rebuild it with your own data
- 1
Get your GeoJSON file ready
The example fields are name, facility_type. 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
Ivory 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 multi-symbol markers 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, facility_type. 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?
- Hypothetical hubs, clinics and schools generated near New York coordinate anchors. Names and positions are illustrative, not a directory of real facilities.
More pin maps examples
Gallery (314)- CSVA tree inventory as a categorical point mapPoint data coloured by species category. Categorical colour is the hardest palette to get right: two categories that look alike are not a cosmetic problem, they are two categories the reader will merge into one.
- CSVFour hundred inspections across New YorkA dense point layer on a dark basemap, where marker opacity and stroke width do the work that colour cannot. Past a few hundred markers, the marks must be translucent or the map becomes a solid mass.
- GeoJSONBike stations across LondonA GeoJSON FeatureCollection with properties used directly. GeoJSON is the one format that already speaks the renderer’s language, so the only real decision left is how to style it.
Last updated 2026-10-22