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Cluster

The Cluster visualization method is useful for analyzing large numbers of points on the map. In this case, it is more convenient to work with clusters (groups of points). The size of a cluster depends on the number of points it contains.

When you zoom in the map, large clusters first split into smaller clusters, and then into separate points. When you zoom out the map, clusters are grouped into larger ones.

Overview

Cluster

To select a visualization method:

  1. Go to the Dashboards tab.
  2. Open the required dashboard.
  3. Open a scene using the arrows Left arrow and Right arrow. If there is only one scene in the dashboard, it opens automatically.
  4. To open the layer, click Layers icon and select the required layer.
  5. In the General settings block, select the Cluster visualization method.
  6. Set the remaining visualization parameters if necessary.

The data is visualized on the map.

Parameters

Tooltip setup

Parameter
Description
Tooltip setupEnable the option to customize the list of attributes that are displayed in the tooltip when hovering over the cluster on the map. Select the required attributes, change their order, and select an attribute aggregation type if necessary: for more details, see the Configuring a tooltip section.
If the option is disabled, the tooltip shows all attributes from the dataset.

Radius

Parameter
Description
Cluster sizeSize of the cluster in pixels from 1 to 250. A point is included in the cluster if it is located at the specified distance from its center.
Radius rangeRadius of the cluster in pixels from 1 to 100.

Color

Parameter
Description
Color basisNumeric attribute that determines the fill color of clusters on the map and in the legend according to the color palette. Available values depend on the data in the sample.
Color aggregation typeFunction used to aggregate the attribute values located in one cluster:
  • Sum - sum of values.
  • Mean - mean value.
  • Median - median value that is equal to or greater than 50% of values in the group.
  • Min - minimum value.
  • Max - maximum value.
Type of scaleDistribution type used to calculate data ranges in the legend:
  • Logarithmic - logarithmic distribution. Suitable for displaying data that changes over a wide range or differs by several orders of magnitude.
  • Linear - uniform distribution. Suitable for displaying values of the same order.
  • Exponential - exponential distribution. Suitable if you need to highlight small values and ignore large ones, and for displaying data that changes quickly.
  • Adjustable - manual configuring of ranges. In all ranges except the last one, the specified upper (right) limit is not included in the range.
Number of rangesNumber of data ranges in the legend and colors in the palette from 1 to 10.

Ranges are calculated automatically based on the Type of scale (for Logarithmic, Linear, and Exponential types). To customize ranges manually, enter the required limits or change the order and number of ranges (Adjustable type). In all ranges except the last one, the specified upper (right) limit is not included in the range.

To change the order of ranges, hold down Move icon next to the range and drag it. To add a range, click Plus icon. To delete a range, click Trash icon.
PaletteColor palette (a set of prepared color samples). To change the color for a range, click the color in the legend and select a new one from the palette or specify it in the HEX format. To reset the color, hover over it and click Cross icon. The color is also reset when the attribute is changed, but is not reset when the range limits or the number of ranges are changed. Example:
Selecting a color
InvertEnable the option to invert the color palette. All colors in the palette are inverted, except those set manually.
OpacityOpacity of cluster fill in percent.

Outline

Parameter
Description
OutlineEnable the option to display the cluster outline.
Outline colorOutline color. Select a color from the palette or specify it in the HEX format.
Stroke widthStroke width in pixels from 1 to 25.

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