应用多重检验程序探测东非植被的变化
Applying multiple testing procedures to detect change in East African vegetation
摘要：
植被波动的研究为有效的土地利用和发展提供了有价值的信息。我们认为这个问题的基础上，从1982年至2006年收集的卫星遥感数据的归一化植被指数（NDVI）系列超过8公里的网格点的东非地区。我们检测区域的显着增加或减少单调的植被变化，使用多重检验程序控制的混合方向错误发现率（mdFDR）。具体来说，我们使用一个三阶段的定向Benjamini-Hochberg（BH）的程序与证明mdFDR控制下的独立性和一个合适的自适应版本it. The性能的这些程序进行了研究，通过模拟之前，将它们应用到植被数据。我们的分析表明，北半球以及坦桑尼亚沿海地区的植被增加，南半球植被普遍减少，这与历史证据一致。
英文摘要：
The study of vegetation fluctuations gives valuable information toward effective land use and development. We consider this problem for the East African region based on the Normalized Difference Vegetation Index (NDVI) series from satellite remote sensing data collected between 1982 and 2006 over 8-kilometer grid points. We detect areas with significant increasing or decreasing monotonic vegetation changes using a multiple testing procedure controlling the mixed directional false discovery rate (mdFDR). Specifically, we use a three-stage directional Benjamini--Hochberg (BH) procedure with proven mdFDR control under independence and a suitable adaptive version of it. The performance of these procedures is studied through simulations before applying them to the vegetation data. Our analysis shows increasing vegetation in the Northern hemisphere as well as coastal Tanzania and generally decreasing Southern hemisphere vegetation trends, which are consistent with historical evidence.
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