Since the traditional spatial data interpolation method has its limits in describing the RHI (range-height indicator) graph for Mie scattering lidar scanning profile, it cannot be applied to the visualization of Mie scattering lidar space-time scan data, and it is also difficult to achieve the continuity in atmospheric parameters evolution process. This paper analyzes the space-position relations in lidar scanning profile data based on the scanning elevation and spatial distribution characteristics of the atmospheric parameters, chooses the reference data rationally of vertical and horizontal positions, and gives the position relevant weight. The smoothness of data is revised by a cubic spline function and the missing data are replenished by interpolation finally. Results show that this method can improve effectively the accuracy of atmospheric lidar scanning data space interpolation, produce few errors; and the RHI graph becomes smooth, thus it conforms to the overall change rule of atmospheric parameters.