Point Aggregator

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Summary: This process aggregates point features to a lower resolution. For a dense feature collection (one with many data points within a relatively small area) you can use this process to reduce visual clutter. The data points will be amalgamated so that instead of having one data point per icon, WorldView can associate multiple data points per icon. You can specify the amount of aggregation by changing the value of the Aggregated Resolution attribute.


  • Features To Aggregate (1 Feature Collection) The Feature Collection you want to aggregate.

Output: Feature Collection , Feature

  • Description: The aggregated feature collection.


  • Aggregated Resolution The resolution to which you want to aggregate the Feature Collection. The range of possible values is 1-39. The lower the value, the greater the aggregation.


Suppose you have a Feature Collection consisting of 100 points of data spread across an area the size of a city. With no aggregation, each data point would be represented by an individual icon. When you are zoomed in and viewing the ViewPoint at the highest resolutions there may only be a few data points on the screen at one time, and the data points that are on the screen are likely to be visually separated from one another. As you zoom out, the resolution decreases (so the distances between the icons decreases) and more icons are displayed on the screen. At the lowest resolutions all 100 points may be visible on the screen at the same time, but because the distances between the points are so small they end up overlapping each other.

If you would prefer to only see one icon instead of a cluster of icons all occupying essentially the same location, you can apply the Point Aggregator process to the pipeline and WorldView will aggregate the points to the resolution you specify. Besides reducing screen clutter, using a Point Aggregator process can improve performance.

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