![]() Intensity is a decimal value between 0 and 1, used to specify how "hot" a single data point should be. Sets the Transparency of the heat map layer. However, due to the Mercator projection, the actual radius of coverage in meters at a given latitude are smaller than this specified radius. When set to meters, the size of the data points scale based on zoom level based on the equivalent pixel distance at the equator, providing better relativity between neighboring points. When set to pixels the size of each data point is the same, regardless of zoom level. Valid values when Unit = ‘meters’: 1 - 4,000,000 Valid values when Unit = ‘pixels’: 1 - 200. The radius of each data point in the heat map. The following table shows the primary settings that are available in the Heat map section of the Format pane: Setting Decide the heat map layer position amongst different layers, such as the 3D column and bubble layer.Set the minimum and maximum zoom level for heat map layer to be visible.Pick different colors from color pickers.Specify if the value in size field should be used as the weight of each data point.Customize the opacity and intensity of the heat map layer.Configure the radius of each data point using either pixels or meters as unit of measurement.The Heat map section of the Format pane provides flexibility to customize and design the heat map visualizations to meet your specific requirements. Now you can adjust all the Heat map layer settings to suit your report. In the Format pane, switch the Heat map toggle to On.In Power BI Desktop, select the Azure map that you created.Understand layers in the Azure Maps Power BI visual.Get started with Azure Maps Power BI visual. ![]() Visualizing vast statistical and geographical data sets.Measuring the frequency which customers visit shopping malls in different locations.Comparing customer satisfaction rates or shop performance among countries/regions.Rendering the data as a heat map results not only in better performance, it helps you make better sense of the data by making it easy to see the relative density of each data point.Ī heat map is useful when users want to visualize vast comparative data: Displaying a large number of data points on a map results in a degradation in performance and can cover it with overlapping symbols, making it unusable. Heat maps are a great way to render datasets with large number of points. Heat maps are often used to show the data "hot spots" on a map. Heat maps, also known as density maps, are a type of overlay on a map used to represent the density of data using different colors. This article describes how to add a heat map layer to an Azure Maps Power BI visual.
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