Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data
The proposed deep spatially varying coefficient model (DSVCM) aims to provide a computationally efficient interpolation method for non‐stationary spatial data, while also facilitating the interpretation of the effects of input covariates and theoretically prove the superiority of DSVCM in prediction accuracy.