> your model would just learn to interpolate between geographically proximate locations
At a particular scale, this is entirely correct; if what I'm looking for is 'large', a measurement 1m away from a known hit would also be likely to be a hit.
That particular issue sounds like it should be addressed with more negative samples.
At a particular scale, this is entirely correct; if what I'm looking for is 'large', a measurement 1m away from a known hit would also be likely to be a hit.
That particular issue sounds like it should be addressed with more negative samples.