Because the Find Cotravelers tool shows lots of false hits of tracks that merely cross each other, we need more context to evaluate the results.
Results look like this. Just the "cotraveled events" are shown:
We need to see the entire track for each of the candidate cotraveler, so we can evaluate them:
With a massive data set (I'm testing with AIS maritime tracking data from MarineCadastre.gov - 500K events off the coast of Miami.), we can't simply check by laying the results over the input data layer:
The time-consuming workaround is this:
- Open the results table and note all of the "cotraveler" unique IDs.
- Do and Attribute Query of the input data set for the unique IDs.
- Export the selection to a new layer.
- Turn off the input layer.
- Symbolize the new layer by unique ID (to differentiate the tracks).
- Examine the tracks for true co-travelers, not mere crossing tracks.