Spatial prediction is always facing challenges of uncertainty because it is almost impossible for any model to represent exactly the real world. Since the 1990s,more and more attention has been given to analysis and evaluation of uncertainties in output of spatial soil prediction. Visualization can be a way to increase communication between uncertainty analysis and decision making,since it can help expose and express reality more intuitively. First of all,different techniques or ways to visualize uncertainty were briefly reviewed. And a case study was conducted of the statistics-based spatial prediction of total N content in the topsoil of peri-urban Beijing. Relative errors were deemed as expression of uncertainty in the prediction. A Hue Saturation Intensity(HSI)color model,which is a psychologically appealing color model,was recommended to visualize simultaneously soil attribute prediction results and uncertainties therein. The HIS model uses hue to visualize prediction values and whiteness to visu alize uncertainty. A two dimensional legend was designed to supplement the visualization.This case study indicated that visualization of both prediction and prediction uncertainty offers a possibility to enhance visual exploration of data uncertainty and compare different prediction methods or predictions of totally different variables. The whitish area of the visualized output can be simply interpreted as unsatisfactory predictions,where additional samples may be needed for a better prediction. The limitation of using the two dimensional legend is that it is not easy to match the colors between the HSI coded image and the legend because the pale colors are always difficult to distinguish.