Hi @izabreton​ ,

You should be able to use the Group Processing parameter in the Snapper to accomplish this. Enable the Group Processing option by clicking the check box and entering which attribute you'd like to Group By. Note, order will be important here as the first point to arrive will be what everything that matches that group will snap to. You can set a large number for the Snapping distance so it is inclusive enough to catch everything you are interested in (same units as the source coordinate system).

Thank you Chris. The problem is that the attributes values don't match exactly and the points come from 2 different features class.

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1. Trees.shp with attribute Sort with multiple values. I want only the ones with Oak as value

2. Trees. Shp with attribute Kind with with multiple values. I want only the ones with Oak as value.

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​I was planning to filter the 2 tables to select only the points with oak as value and then find a tranformer to find the nearest point trees.shp to the trees2.shp.

​ Hope it makes sense.

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If you have a couple of sample files that I can be shared I would gladly take a look.

Sounds like you will need to filter out with a Tester and potentially create a temporary attribute so that both datasets have a shared attribute that allows you to perform the group by operation.

Hi, thanks. I can send you a private message. Can I have your email?

Just sent you an email :)