Before revision:  We validate the model using a field-like dataset obtained from a sophisticated simulation/planning tool. With the location uncertainty , the FRK proves to reduce the computational complexity of the spatial interpolation while keeping an acceptable prediction error .
After revision:  We validate the proposed algorithm using both simulated and real field measurements. The FRK extended to take into account the location uncertainty , the FRK proves to reduce the computational complexity of the spatial interpolation while keeping an acceptable prediction error .