Discovering optimally representative dynamical locations (ORDL) in big multivariate spatiotemporal data: a case study of precipitation in Australia from space to ground sensors (Q2110042)
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scientific article; zbMATH DE number 7635732
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Discovering optimally representative dynamical locations (ORDL) in big multivariate spatiotemporal data: a case study of precipitation in Australia from space to ground sensors |
scientific article; zbMATH DE number 7635732 |
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Discovering optimally representative dynamical locations (ORDL) in big multivariate spatiotemporal data: a case study of precipitation in Australia from space to ground sensors (English)
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21 December 2022
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time series analysis
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multivariate statistics
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empirical distribution theory
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statistical depth
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precipitation analysis
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0.7917551
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0.7837736
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0.77932024
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0.77402896
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0.7693229
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0.7683701
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