Announcement: New basemap styling is coming soon to Google Maps Platform. This update to map styling includes a new default color palette, modernized pins, and improvements to map experiences and usability. All map styles will be automatically updated in March 2025. For more information on availability and how to opt in earlier, see New map style for Google Maps Platform.
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 click events. Data-driven styling for datasets is supported on vector maps
only (a map ID is required).
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:
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 click events.
Style point data to show specific locations on the map.
Style polyline data to highlight geographical features.
Style polygon data to highlight geographical areas.
Make data features respond to click events by adding an event
listener.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-29 UTC."],[[["Data-driven styling allows you to upload custom geospatial datasets (GeoJSON, CSV, KML) and visualize them on vector maps using points, polylines, and polygons."],["Datasets are managed through Google Cloud Console or Google Cloud Shell and are associated with map styles and IDs for display."],["You can customize the visual appearance of data features based on their properties and enable click event interactions."],["Data-driven styling enables the creation of dynamic and interactive data visualizations for highlighting locations, geographical features, and areas on maps."]]],[]]
