I have a few hundreds of points and I'm trying to:
1) 'Cluster' them spatially (max distance 25cm) and based on one common attribute while the number of neighbors can vary from 0 to 5
2) Calculate average position for each 'cluster' of points and replace their geometry so that all aggregated points have the same position (of course keeping the original attributes).
I would be grateful for a hint, I've been trying different transformers and I can't find a solution.
Best answer by erik_jan
1) NeighborhoodAggregator generates the groups
2) CenterpointExtractor calculates the X and Y of the center point of the group
VertexCreator replaces the geometry by a point using the X and Y
+221) NeighborhoodAggregator generates the groups
2) CenterpointExtractor calculates the X and Y of the center point of the group
VertexCreator replaces the geometry by a point using the X and Y
Hi @erik_jan,
thanks for your reply! I tried NeighbourhoodAggregator, but from there I had to work with lists if I wanted to keep all attributes (is that correct?). This is where I got stuck, I didn't know how to handle the lists and extract centerpoints. Is it possible?
+22Hi @erik_jan,
thanks for your reply! I tried NeighbourhoodAggregator, but from there I had to work with lists if I wanted to keep all attributes (is that correct?). This is where I got stuck, I didn't know how to handle the lists and extract centerpoints. Is it possible?
