Abstract In view of the characteristics of GNSS elevation coordinate time series, including non-stationarity and nonlinearity, based on the in-depth analysis of the characteristics of the Prophet model and random forest(RF), we construct the Prophet-RF combination forecasting model. The combination model solves the defect of weak predictive ability of Prophet model to the nonlinear part of time series, and has strong robustness. In this paper, the continuous observation data in the elevation direction of BJFS station is selected for analysis, and a variety of combination schemes are designed to test the applicability and accuracy of the combination model. The experimental results show that the Prophet-RF composite model is better than the single Prophet model in representing change trends of the time series of the elevation coordinates, and in getting more accurate prediction data.
LI Wei,LU Tieding,HE Xiaoxing et al. Prediction and Analysis of GNSS Vertical Coordinate Time Series Based on Prophet-RF Model[J]. jgg, 2021, 41(2): 116-121.
LI Wei,LU Tieding,HE Xiaoxing et al. Prediction and Analysis of GNSS Vertical Coordinate Time Series Based on Prophet-RF Model[J]. jgg, 2021, 41(2): 116-121.