Compare two datasets. Both pointdata with (x,y). the second dataset has got adresses. Result must be a dataset where an objects in the first dataset is nearest tot an adress in the second dataset .

The first dataset has 10500 objects ( a table with x,y id, date,etc. etc.)

The second dataset 7000 object s )(a table with x,y,id ,,date, adress etc.etc.)

Based on the x and y we would like to get a combined file as a result.

Where all 10,000 objects from the first dataset are located at the closest object to an address point.

A list of these..

It seemed logical to us to use the transformer neighbor finder for this. But this doesn't work.

ideas more than welcome

Johan

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Yes, neighbor finder is the correct transformer to use, however, when you say you have "point data" is this just data from a CSV? Are the x and y being used for the geometry i.e., can you see points on the map in the FME Data Inspector?

The other thing to check is that the Coordinate systems between the two datasets is the same.

If you still can't figure it out then post some screen shots of the configuration you're using for the NeignorFinder

The other thing to check is that the Coordinate systems between the two datasets is the same.

If you still can't figure it out then post some screen shots of the configuration you're using for the NeignorFinder