The distribution of sample plots and the detection of abnormal sample plots in monitoring area are studied by means of principal component analysis according to these factors.
根据这些因子进行主分量分析，研究监测区域样地的分布及异常样地的探测。
Simultaneously, this paper introduces an adaptive sampling algorithm which can compute the size and distribution of sample areas usefully to reduce the redundancy of computation.
同时提出一种自适应特征点采样选取算法，对采样块的大小及分布进行选择，避免了计算的冗余性。
The sample shows that distribution statistics are of limited use when used in conjunction with parameter markers.
这个示例表明，如果将分布统计信息与参数标记一起使用，分布统计信息的作用就会受到限制。
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