Spatial Statistical Analysis in Cow Disease Monitoring Based on GIS
In this paper, we analyze cow endemic fluorosis spatial distribution characteristics in the target district based on combination of spatial statistical analysis and GIS. This disease geographical distribution relates closely to the environmental factors of habitats and the correct analysis of the spatial distribu-tion of the disease for monitoring and prevention plays an important role. How-ever, the amount of monitoring spots is smaller and the monitored data are very limited. How to use the limited data to show the general spatial distribution of the disease is a key issue in building the efficient spatial monitoring method. We use GIS application software ArcGIS9.1 to overcome the lack of data of sampling sites and establish a prediction model in estimation of the disease dis-tribution. Comparing with the true disease distribution, the prediction model has a well coincidence and is feasible and provides a fundamental application for other study on space-related cow diseases.
Cow disease GIS Spatial statistic analysis
Lin Li Yong Yang Hongbin Wang Jing Dong Yujun Zhao Jianbin He
School of Animal Husbandry and Veterinary Medicine,Shenyang Agricultural University, 110866 Shenyang School of Information and Electrical Engineering, Shenyang Agricultural University,110866 Shenyang, School of anima Medicine, Northeast Agricultural University, 150030 Harbin, P. R. China
国际会议
南昌
英文
561-566
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）