Data-driven styling for datasets lets you upload your own geospatial datasets, apply custom styling to their data features, and display those data features on maps. With data-driven styling for datasets, you can create data visualizations based on point, polyline, and polygon geometries, and make data features respond to tap events. Data-driven styling for datasets is supported on vector maps only (a map ID is required).

Get started with data-driven styling for datasets

Add custom geospatial datasets

Add your custom data using Google Cloud Console or Google Cloud Shell. Each dataset has a unique ID, which you can associate with a map style. The following data formats are supported:

  • GeoJSON
  • Comma-separated (CSV)
  • KML

For details about dataset requirements and limitations, see Create and manage a dataset

About public datasets

In order to style a dataset you must associate a map style with a map ID, which also associates the dataset to the map ID. In an app, developers can reference that map ID, and any map style and geospatial data associated with it. No additional access control is applied to the geospatial data, making the geospatial data effectively publicly available to anyone with the app.

Style data features

Once your custom data has been uploaded and associated to a map style and map ID, you can style data features for visual impact, and make features respond to tap events.

Style point data to show specific locations on the map.

A screenshot showing styled point data.

Style polyline data to highlight geographical features.

A screenshot showing styled polyline data.

Style polygon data to highlight geographical areas.

A screenshot showing styled polygon data.

Make data features respond to tap events by adding an event listener.

A screenshot showing a cursor taping a map.