Abstract: Based on the data of outcropping exploration holes, this paper used five spatial interpolation algorithms to calculate the bottom plate of the ion-adsorption type rare earth ore body, including the inverse distance weight method, radial basis function interpolation method, local polynomial method, ordinary Kriging method, and empirical Bayesian Kriging method. Independent datasets were verified by randomly selecting different numbers of checkpoints, with standard deviation, mean absolute error and root mean square error as evaluation indicators. The results show that the standard deviation and root mean square error of the radial basis function interpolation method are kept below 6.1, the average absolute error is kept below 4.9, and the interpolation accuracy is better than the other four interpolation methods, which can more accurately determine the bottom plate shape of ion-adsorption type rare earth ore body. This study can provide strong technical support for the design of liquid injection and liquid collection engineering of the ion-adsorption type rare earth ore body.