A spatial model with ordinal responses for grazing impact data
A spatial model with ordinal responses for grazing impact data
复制标题
放牧影响数据的有序响应空间模型
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
D. J. Henderson
中科院分区：
文献类型：
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作者：
M. Brewer;D. Elston;M. Hodgson;Anne;A. Nolan;D. J. Henderson
我们提出了一个模型，使用有序的空间数据所产生的放牧和践踏的影响，动物对植被的实地评估，并研究模型的预测性能的部分调查。我们采用了一个混合效应模型，包括一个长期的空间相关性，它假设一个连续的基本规模的放牧影响，并通过切割点的离散类别的分类。我们分析了两类数据：全面普查数据和从全面普查中提取的样本数据。在后一种情况下，我们表明，非采样数据的估计提高了模型中包含的空间信息的增加。
We propose a model for use with ordinal spatial data arising from field assessments of the grazing and trampling impact by animals on vegetation, and study the predictive performance of the model on partial surveys. We employ a mixed effects model, including a term for spatial correlation, which assumes a continuous underlying scale of grazing impact, and where the classification into discrete categories is made via cut-points. We analyse two classes of data: full census data and sample data drawn from the full census. In the latter case, we show that the estimation of nonsampled data improves as the spatial information included within the model increases.