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I've got a layer with more than 400.000 Points. Now I want to select those within a distance of 100m to each other, to verify that points in such a distance don't have different IDs.

How can I do this?

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    Welcome to GIS.SE Philipp. Are you aware of the fact that, though point A may be 100 m from both B and C, B and C may be more than 100 m apart? How are you planning to address this issue? – Erik Dec 13 '18 at 14:49
  • Hm..that's nothing i noticed before..to be honest. Each pint represents a public Transport stop, with a certain ID. If the Points lay within 100m, it's technically the same public Transport stop. But now i want to eliminate Errors. For example 2 Points lay within 100m but have different id's..that's a mistake. Maybe I'm not coosing the Right way? – p.seckert Dec 13 '18 at 14:51
  • Could clustering solve this issue for you? – Erik Dec 13 '18 at 14:52
  • Good idea. If clustering means, keeping all the attributes – p.seckert Dec 13 '18 at 14:54
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    Welcome to GIS SE! Please edit your question to contain all of the clarifications that are coming up through your discussion in the comments. Also, as a new user, please be sure to take the tour to learn about this site's focused Q&A format. If you arrived at a good answer, feel free to answer your own question! – Andy Dec 13 '18 at 17:45
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You can follow this answer and change the end for your purpose: Clustering points/polygons based on proximity (within specifed distance) using QGIS?

  1. Fixed distance buffer each point by 50m (this is half the required distance between points)
  2. Dissolve all on the result.
  3. Multipart to singlepart
  4. Add area to your buffer
  5. Remove buffer <= 7860 (area of a 50m buffer from a single point)
  6. Select by location points that intersect clean buffer.

With that last selection are the points you are looking for. With these selection you can do the analysis that you want.

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