Abstract Understanding seasonal human mobility at subnational scales has important implications across sciences, from urban planning efforts to disease modelling and control. Assessing how, when, where populations move over the course of year, however, requires spatially temporally resolved datasets spanning large periods time, which can be rare, contain sensitive information, or may proprietar...