Data analytics for modeling soil moisture patterns across united states ecoclimatic domains
Data analytics for modeling soil moisture patterns across united states ecoclimatic domains
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DOI:
10.1109/bigdata.2017.8258536
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发表时间:
2017-12
期刊:
影响因子:
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通讯作者:
T. Kitson;Paula Olaya;Elizabeth Racca;Michael R. Wyatt;M. Guevara;R. Vargas;M. Taufer
中科院分区:
文献类型:
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作者:
T. Kitson;Paula Olaya;Elizabeth Racca;Michael R. Wyatt;M. Guevara;R. Vargas;M. Taufer
Our poster presents a data analytics strategy to enable scientists to model patterns of soil moisture data at different resolutions across the United States. We build upon previous work of Guevara and co-authors with three contributions. First, we introduce divisions of soil moisture into the climatic regions proposed by the National Ecology Observatory Network. Second, we reduce the topological parameters used in modeling soil moisture using Principal Component Analysis. Third, we present an efficient workflow for modeling and visualizing soil moisture data.