Thematic maps are essential tools that translate complex spatial data into actionable insights, but their reliability depends on rigorous quality assurance. Automated classification methods, while powerful, inevitably introduce errors. Satellite-based classifications can produce errors of omission or commission, scale mismatches, or temporal misalignments with ground conditions. These limitations don't undermine the value of thematic maps, but they highlight the critical importance of quality assurance.
0 commit comments