File:Reconstruction of System Dynamics from a Time Series (using the canonical Lorenz attractor example).webp
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English: Reconstruction of System Dynamics from a Time Series (using the canonical Lorenz attractor example) (A) Projecting the motion of the Lorenz attractor onto the x-axis yields a time series for variable x. (B) Successive lags (with time step τ) of the time series xt are plotted as separate coordinates to form a reconstructed (and visually similar) “shadow” attractor that preserves essential mathematical properties of the original system. (quoted from the caption of the source) |
| Date | |
| Source | Giron-Nava, A., Munch, S.B., Johnson, A.F. et al. Circularity in fisheries data weakens real world prediction. Sci Rep 10, 6977 (2020). https://doi.org/10.1038/s41598-020-63773-3 (Figure B1) |
| Author | Alfredo Giron-Nava, Stephan B. Munch, Andrew F. Johnson, Ethan Deyle, Chase C. James, Erik Saberski, Gerald M. Pao, Octavio Aburto-Oropeza & George Sugihara |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
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| current | 06:23, 12 September 2021 | | 1,500 × 1,104 (110 KB) | Yapparina (talk | contribs) | Uploaded a work by Alfredo Giron-Nava, Stephan B. Munch, Andrew F. Johnson, Ethan Deyle, Chase C. James, Erik Saberski, Gerald M. Pao, Octavio Aburto-Oropeza & George Sugihara from Giron-Nava, A., Munch, S.B., Johnson, A.F. et al. Circularity in fisheries data weakens real world prediction. Sci Rep 10, 6977 (2020). https://doi.org/10.1038/s41598-020-63773-3 with UploadWizard |
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