Detecting spatial structures in throughfall data: The effect of extent, sample size, sampling design, and variogram estimation method
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- 作者：Sebastian Vossa ; Beate Zimmermannb ; Alexander Zimmermanna ; alexander.zimmermann.ii@uni-potsdam.de" class="auth_mail" title="E-mail the corresponding author
- 关键词：Throughfall ; Geostatistics ; Sampling ; Variogram ; Residual maximum likelihood
- 刊名：Journal of Hydrology
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：540
- 期：Complete
- 页码：527-537
- 全文大小：2022 K
文摘
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We tested strategies to obtain optimum variogram estimates of throughfall data.
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The choice of the extent greatly influences variogram estimation.
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Transects are superior to grid-based designs and random sampling.
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Residual maximum likelihood (REML) outperforms the method-of-moments (MoM).
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A combination of 150 data, transect sampling, and REML is optimal.