Methods and systems for improved data collection in a positioning solution that leverages closed-loop learning (CLL)

Disclosed is an approach for improved radio and/or altitude data collection in the context of a positioning system. In particular, processor(s) could execute a first phase of the collection process, which may involve collection of data only in seed area(s) associated with generation of an initial map as well as setting forth guidance, via a user interface of a mobile device, to collect data only in the seed area(s). And when the processor(s) detect a trigger to end the first phase, the processor(s) could responsively execute a second phase of the process, which may involve collection of data in secondary area(s) associated with generation of an updated map as well as setting forth guidance, via the user interface, (i) to collect data in the secondary area(s) and (ii) to visit seed area(s) and/or other area(s) that are deemed to be ready.