Abstract:Aiming at the problem of data missing in GNSS coordinate time series, this paper proposes to apply the Prophet model to the interpolation of GNSS coordinate time series. Through the design of different data random missing proportion and continuous missing length, we use the Prophet model, Lagrange and cubic spline method to carry out comparative experiments. Experimental results show that the Prophet model has higher interpolation accuracy and better stability in GNSS coordinate time series, and has obvious advantages for continuous missing data interpolation.