Hello
Here’s my challenge:
I have two datasets that I need to compare after several transformations.
- Dataset 1: This contains georeferenced points with distances associated with a linear reference system (LRS).
- Dataset 2: This has no geometry, but contains distances from the same LRS.
My aim is to associate each value km_start in dataset 2 with the closest value _measures in dataset 1, even if they don't match exactly (I’d like to be able to assigne a tolerance, for ex. max difference of 0.01m). Thanks to this matching, I will be able to assign a geometry to the data in the second set.
Below are a few screenshots to illustrate my question:


We're talking about fairly important datasets but it shouldn't be too much of a problem if the process takes time.
Thank you in advance for your help and ideas.