| Autor: |
Elizabeth Racca, Rodrigo Vargas, Thomas Kitson, Paula Olaya, Michael R. Wyatt, Mario Guevara, Michela Taufer |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
IEEE BigData |
| DOI: |
10.1109/bigdata.2017.8258536 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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