I have a plots shapefile for a region (polygon)converted to centroid points. I have added the geometry column to it and also added elevation attribute to every point by sampling the plots vector file with a DEM raster which is also of the same region . Now I want these plots (centroid points) to be grouped into clusters of same elevation or with a max variance of 3 meters in the elevation.If vertex points of the same plots have difference in their elevation greater than say 3m then i want to break the plot into two and then clustering resumes . This will help in managing the data of plots and be vital in planning and administration

Is triangulation a solution to this?

The solution need not involve clustering. If the input parameters get grouped according to elevation then that is good too.

  • Does the solution have to involve clustering? Or would it be ok to just split the input features into groups every 3 meters? – underdark Oct 13 '16 at 18:30
  • @underdark yess will do.Pls guide me through it – jeff devasia Oct 13 '16 at 18:44

If you don't need real clustering and can live with simply splitting the input features into classes every 3 meters, use the following two steps:

  1. create a class field:

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  1. split the layer using the class field:

enter image description here

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