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

• Autorzy: Li L. , Dong J. , Dong J. , Yu B. , Peng J. , He J.
• Języki publikacji: EN

Abstrakty

EN

The aim of the studies was to develop an alternative method which could overcome the lack of sampling to improve the efficiencx of control efforts for bovine endemic fluorosis. The spatial distribution characteristics of the disease were analysed and a prediction model for the estimation of fluorosis distribution in some districts in northwest Liaoning province in China was established. The model used ordinary kriging, and was evaluated using cross-validation. Analysis showed 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 accurately distributed bovine endemic fluorosis. It is feasible to predict bovine endemic fluorosis in the area by using ordinary kriging and limited data.

• Wydawca: -
• Czasopismo: Bulletin of the Veterinary Institute in Puławy
• Rocznik: 2015
• Tom: 59
• Numer: 1
• Opis fizyczny: p.161-164,fig.,ref.

Twórcy

autor

Li L.

• School of Animal Husbandry and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866 P. R. China

autor

Dong J.

• School of Animal Husbandry and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866 P. R. China

autor

Dong J.

• Liaoning Hui Shan Holdings Group, Shenyang, 110164 P. R. China

autor

Yu B.

• Liaoning Hui Shan Holdings Group, Shenyang, 110164 P. R. China

autor

Peng J.

• Liaoning Hui Shan Holdings Group, Shenyang, 110164 P. R. China

autor

He J.

• School of Animal Husbandry and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866 P. R. China

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Identyfikatory

DOI

10.1515/bvip-2015-0024