摘要

Two spatial interpolation methods, IDW and Kriging, are studied and their differences are compared in terms of the process of setting up the Digital Land Price Model. A corroborative analysis was carried out using the sampling data in the area of the Shanghai inner belt expressway. The two methods are applied using a Surfer8.0 software system, based on the land price sampling data of the aforementioned area. The results are then used to obtain the digital land price grid subject charts with the help of the GIS software, MapInfo7.5. The stochastic validation points are selected to compare and analyze the results, which prove that the IDW interpolation method is better than Kriging and correlate closer to the practical land price distribution. Furthermore, the IDW interpolation method is a deterministic method and easy to use in practice, and the interpolation result at swatch point is close to the practical price, making the process of setting up the Digital Land Price Model more credible and feasible.