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We are using CesiumJS (https://cesium.com/cesiumjs) for 3D visualization and we wonder whether it might be possible to use supercluster for clustering of points in 3D space (x, y, z coordinates or lat, long, elevation). Would it be possible to modify supercluster to support this? Please advice.
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Honestly I don't know. It might get difficult, but you could try by keeping track of the third dimension and adding additional filtering based on 3D distance after the within call in _cluster.
I know k-d trees can operate in 3 dimensions, but this would require fundamental changes to this library, as it only operates in the 2d space. There are also octrees, similar to quadtrees, except they have 2^3 children (allowing for the 3rd dimension).
I'm also interested in a 3d clustering library, specifically for additional segregation within some arbitrary categories. I think that functionality would best live in another library though.
We are using CesiumJS (https://cesium.com/cesiumjs) for 3D visualization and we wonder whether it might be possible to use supercluster for clustering of points in 3D space (x, y, z coordinates or lat, long, elevation). Would it be possible to modify supercluster to support this? Please advice.
The text was updated successfully, but these errors were encountered: