This paper proposes a statistical method for identifying high‐density regions of pests, so‐called hot spots, within an orchard. Our method uses scanning windows to search for clusters of high counts within the sampled data. The proposed method enables a localized alternative for treatment that could be faster, less costly, and more environmentally friendly. R code that implements the hot spot identification method is provided as online supplementary material. The method is illustrated through simulated examples and a real data on counts of cottony cushion scales from an orchard.

中文翻译：

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确定果园内害虫的高密度区域

本文提出了一种用于识别果园内害虫高密度区域（即所谓的热点）的统计方法。我们的方法使用扫描窗口来搜索采样数据中的高计数集群。所提出的方法能够实现一种更快、成本更低且更环保的局部治疗替代方案。实现热点识别方法的R代码作为在线补充材料提供。该方法通过模拟示例和果园棉垫鳞片计数的真实数据进行说明。