Abstract: 　Objective To explore the methods to predict the distribution of Oncomelania hupensis in the marshland of Jiangning County. Methods Semi-variogram was used to analyze the spatial autocorrelation of snails’distribution in the marshland of Jiangning using the Arcview8.1. A prediction map for the snails’distribution was established using the Ordinary Kriging and evaluated using the cross-validation. Results Analysis showed that the distribution of alive snails in the marshland of Jiangning in the year 2000 was auto-correlated in spatial. The semi-variogram model which was spherical demonstrated that the variation of alive snails in spatial were related with distance apart when the distance was less than 0.0301. The prediction map of the snail distribution in the marshland of Jiangning was established based on the semi-variogram using the Ordinary Kriging. The cross-validation showed that the prediction map could estimate the distribution of snails in the marshland of Jiangning correctly. And the determinant coefficient for the prediction model was 0.973. Conclusion It is feasible to predict the snail distribution in the marshland of Jiangning County by using Ordinary Kringing and data from the surveillance spot.

Key words: Oncomelania hupensis, Ordinary Kriging, Prediction