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Probabilistic Modelling of Cattle Farm Distribution in Australia

机译:澳大利亚牛场分布的概率模型

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A probabilistic Bayesian method called weights of evidence (WofE) was used to develop a synthetic dataset of cattle farm locations at a national scale across Australia. The synthetic dataset was required for the modelling of livestock movements with a view to assessing biosecurity implications. The WofE method is based on the analysis of spatial relationships between evidential patterns with respect to an event, such as the actual location of a farm. The evidential patterns of cattle farms were derived from maps of land use, land tenure, drainage systems, roads, settlements and long-term averaged rainfall. These evidential patterns were used for delineating and ranking land areas suitable for cattle fanning. For each evidential pattern statistics such as a positive weight, a negative weight and a contrast were calculated for estimating the degree of correlation between the evidential patterns and known farm locations. The integrated evidential patterns of knownrnfarms were then used for estimating posterior probabilities and splitting land into five different classes according to its suitability for fanning.
机译:一种称为证据权重(WofE)的概率贝叶斯方法被用来在澳大利亚全国范围内开发牛场位置的综合数据集。为评估牲畜运动,需要综合数据集,以评估对生物安全的影响。 WofE方法基于关于事件(例如农场的实际位置)的证据模式之间的空间关系分析。养牛场的证据模式来自土地利用,土地使用权,排水系统,道路,定居点和长期平均降雨量的地图。这些证据模式用于划定和分级适合放牛的土地面积。对于每种证据模式统计数据,例如正权重,负权重和对比度,都要计算出来,以估计证据模式与已知农场位置之间的相关程度。然后,将已知农场的综合证据模式用于估计后验概率,并根据其成扇形的适用性将土地分为五类。

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