Applying multiple testing procedures to detect change in East African vegetation
Abstract
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.
Cite
@article{arxiv.1405.0785,
title = {Applying multiple testing procedures to detect change in East African vegetation},
author = {Nicolle Clements and Sanat K. Sarkar and Zhigen Zhao and Dong-Yun Kim},
journal= {arXiv preprint arXiv:1405.0785},
year = {2014}
}
Comments
Published in at http://dx.doi.org/10.1214/13-AOAS686 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)