Azure Map Update: Data-bound reference layers

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Previously, reference layers in Azure Maps were static and did not allow for conditional formatting or linking of geometries to customer business data. This limitation also impacted user interaction, as actions such as selecting, filtering, clicking, or accessing tooltips could not be performed for polygons and points, unlike other visual components.

With the new data-bound reference layers functionality, these restrictions are removed, enabling seamless integration between reference layers and customer business data. Reference layers can now be dynamically bound to the spatial fields used, allowing customers to visualize their business data in context with geographic or spatial elements. Users can update their visuals in real-time and interact with their data using standard Power BI features such as filtering, cross-highlighting, and tooltips, greatly improving the flexibility and interactivity of the Azure Maps visual.

Linking data from reference layers is a straightforward process. Shapes from the reference layer will automatically be mapped to field values ​​in the “Location” container of the “Generate” panel, based on the name property provided in the reference layer file.

Additionally, this update allows you to customize senegal whatsapp resource the colors of shapes, using features such as conditional formatting or by linking the color to a legend. Shapes that are not linked to a value in the model are considered unassigned and can be formatted to use custom colors or hidden from the map entirely. Since cross-highlighting is a temporary filter on the map, the treatment applied here will also be reflected on unselected shapes when cross-highlighting them from another visual element.

Marker improvements
Updating the representation of columns, bars, ribbons, lines, area charts, and markers is a key priority. These elements form the foundation of the main visual elements and will, over time, influence other areas. By providing more control, report creators can improve their narrative and make data easier for users to interpret.

In the , the markers for line charts, scatter plots, and anomalies have been improved. This update introduces new options that allow for greater customization and flexibility. Discover these new options and maximize your potential.