Grid
Data sources using spatial column storing quadbin identifiers and spatial type quadbin will be rendered as a Grid layer type. Grid layers uses quadbin to natively render features on the map in an aggregated manner.
Visualization
Cell
When using Grid layer visualization type in Builder, data is aggregated as you zoom in and out on the map. In the Cell section, you can define the aggregation size to determine the level of granularity you prefer for your data aggregation.
Fill
In this section you can define Color that will be used to fill your point symbol. You can set a simple color or use a color schema based on a given property to add depth and meaning to your lines. Additionally, you can adjust the fill opacity to your desired percentage for better visual effects.
Stroke
The stroke of your line layer can be customized in various ways to suit your visualization needs:
Stroke Color: Set a simple color or use a color schema based on a given property to add depth and meaning to your lines. Additionally, you can adjust the stroke opacity to your desired percentage for better visual effects.
Stroke Weight: Define the stroke weight as either a fixed value or based on a given property. You can modify the stroke weight using a simple slider when set to fixed, or by defining a weight range when configured by a property.
Height
You can enable height visualization to extrude the height of your grid layer. When this is enabled, make sure to change the map view to 3D so you can see the features on this view mode.
Set a fixed height or set the height value based on a given property. You use the slider to multiple the height value according to your need.
Working with aggregated property values
When working with H3 point aggregation layer, all properties used for visualization and styling purposes must use a defined aggregation method. You can access this while using the column drop-down menu.
For this type of layer, there is an additional COUNT
aggregation operation available for numeric properties. In order to ensure a precise count, our recommendation is to use a unique id column in your data.
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