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I have a point vector layer with 47.000.000 points representing elevation. It is a regular grid with constant spacing. I aim for rasterization but it is very slow. I know how to do random sampling but have not found a grid sampling. (not on this stack either)

How to create a more spaced grid, based on the initial layer's values?

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    What about to create a new point grid using the extension of the original one with the Create Grid algorithm and, then, using an aggregate expression or the Join attribute by location algorithm add the elevation data from the original grid? – Val P Apr 10 at 22:01
  • Thanks for your answer. Join Attribute worked as my new grid was perfectly over the old one so intersect matched the location. – Rusoiba Apr 11 at 20:14
  • Happy to listen that helps. I will write an proper answer so you can tick it. – Val P Apr 11 at 20:48
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To solve your problem you can create a new point grid using the extension of the original one. YOu can use the Create Grid algorithm to do that.

Then, using an aggregate expression or the Join attribute by location algorithm you can add the elevation data from the original grid to the new layer.

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