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Create a vector tile source and add it to the map. The line data in this data set has a property called traffic_level that is used in this code to select the color and scale the size of lines. This vector tile source has a single set of data in the source layer called "Traffic flow".

The following code loads the Azure Maps traffic flow vector tile service as a vector tile source, then displays it on a map using a line layer.

All layers that use a vector source must specify a sourceLayer value in the options. To display data from a vector tile source on the map, connect the source to one of the data rendering layers. This greatly simplifies authentication with the render service when using Azure Active Directory authentication. This placeholder will be replaced with the same domain used by the map and will automatically append the same authentication details as well. Create GeoJSON using helper classes (less error prone and less typing). The following code shows how GeoJSON data can be created in Azure Maps.

And, data can easily be added, removed, and updated with the DataSource class. The DataSource class provides functionality for clustering point data. Remote GeoJSON files must be hosted on a CORs enabled endpoint. The DataSource class provides functions to import local or remote GeoJSON files. GeoJSON data can be manually created or created using the helper classes in the atlas.data namespace. Ideal for large to massive data sets (millions or billions of shapes).Ī GeoJSON based data source load and store data locally using the DataSource class. Vector tile source: Loads data formatted as vector tiles for the current map view, based on the maps tiling system.Good for small to medium data sets (upwards of hundreds of thousands of shapes). GeoJSON source: Manages raw location data in GeoJSON format locally.Currently there are two types of data sources: Using data sources optimizes the data operations for querying and rendering. The Azure Maps Web SDK stores data in data sources.