I have 2 sets of data with x and y and I would like to best match this information and join the information based on nearest point data. Some of the x and y locations are exactly the same in both datasets, so join easily with spatialrelator/filter or feature merge, but this is only 4%. The majority are slightly different as both datasets are using slightly different algorithms and software to record the x and y's.
Is there a way of assigning the nearest x and y from one dataset to another? So I can get a 100% match rate. Obviously assumptions will be made, but I feel this would be more beneficial for this particular join.
