Prediction of the spatial distribution of bovine endemic fluorosis using ordinary kriging

'Hie aim of the studies Was to develop an alternative method which could overcome the lack of sampling to imprme the ellicienc of control efforts for bovine endemic fluorosis. The spatial distribution characteristics of the disease were anal sed and a prediction model for the estimation of fluorosis distribution in some districts in northwest 1.iaoning pros ince in China was established. 'Hie model used ordinal, kriging, and NN as evaluated using cross-validation. Anal sis shoed that the distribution of the disease was spatial autocorrelation. The prediction error of the cross-validation (ME-0.0092, PMSE 0.627, AKSE 0.597, and RMSP 1.007) and comparison with the actual disease distribution indicated that the prediction map accuratel distributed bovine endemic fluorosis. It is feasible to predict bovine endemic fluorosis in the area b using ordinary kriging and limited data.