I have a number of observations that occur around my city (a small area), and several of them have latitude and longitude. I have been looking into predicting the latitude/longitude of the observations that are not geographically tagged, but I am unsure of the best approach.
One approach I have seen divides an area smaller sections and predicts the likelihood that a point will fall into any specific section.
Wing and Baldridge, 2011: https://scholar.google.com/scholar?cluster=7781354766705840422&hl=en&as_sdt=0,11
Han, Cook, and Baldwin, 2014: https://www.jair.org/papers/paper4200.html
Do you guys know of any alternative approaches to solve this problem? It seems that estimating latitude and longitude separately would be a mistake, since they are related. The grid approach would address that, but it might lack precision.