Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B).
Each individual point represents a simulated flow configuration at time step t (grey points). The projection of reconstructed data is represented as black points. Blue lines show the contours of the density of observations in the simulated data only. The percentage of variance explained is reported...
Main Authors: | , , , |
---|---|
Format: | Still Image |
Language: | unknown |
Published: |
2021
|
Subjects: | |
Online Access: | https://doi.org/10.1371/journal.pone.0254015.g005 |
id |
ftsmithonian:oai:figshare.com:article/14939821 |
---|---|
record_format |
openpolar |
spelling |
ftsmithonian:oai:figshare.com:article/14939821 2023-05-15T15:38:29+02:00 Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B). Elliot Sivel (11104990) Benjamin Planque (641756) Ulf Lindstrøm (641757) Nigel G. Yoccoz (112251) 2021-07-09T17:34:00Z https://doi.org/10.1371/journal.pone.0254015.g005 unknown https://figshare.com/articles/figure/Dynamical_principal_component_analysis_dPCA_on_fluxes_generated_by_the_NDND_and_CaN_models_and_displayed_as_scatter_plot_A_and_projection_of_initial_variables_B_/14939821 doi:10.1371/journal.pone.0254015.g005 CC BY 4.0 CC-BY Cell Biology Evolutionary Biology Ecology Cancer Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified top-down trophic control Biomass configurations fall Non-Deterministic Network Dynamic model subarctic shelf sea NDND biomass displays fluctuations Barents Sea Barents Sea food-web food-web configurations trophic control Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0254015.g005 2021-07-25T17:32:29Z Each individual point represents a simulated flow configuration at time step t (grey points). The projection of reconstructed data is represented as black points. Blue lines show the contours of the density of observations in the simulated data only. The percentage of variance explained is reported on each axis. Still Image Barents Sea Subarctic Unknown Barents Sea |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftsmithonian |
language |
unknown |
topic |
Cell Biology Evolutionary Biology Ecology Cancer Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified top-down trophic control Biomass configurations fall Non-Deterministic Network Dynamic model subarctic shelf sea NDND biomass displays fluctuations Barents Sea Barents Sea food-web food-web configurations trophic control |
spellingShingle |
Cell Biology Evolutionary Biology Ecology Cancer Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified top-down trophic control Biomass configurations fall Non-Deterministic Network Dynamic model subarctic shelf sea NDND biomass displays fluctuations Barents Sea Barents Sea food-web food-web configurations trophic control Elliot Sivel (11104990) Benjamin Planque (641756) Ulf Lindstrøm (641757) Nigel G. Yoccoz (112251) Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B). |
topic_facet |
Cell Biology Evolutionary Biology Ecology Cancer Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified top-down trophic control Biomass configurations fall Non-Deterministic Network Dynamic model subarctic shelf sea NDND biomass displays fluctuations Barents Sea Barents Sea food-web food-web configurations trophic control |
description |
Each individual point represents a simulated flow configuration at time step t (grey points). The projection of reconstructed data is represented as black points. Blue lines show the contours of the density of observations in the simulated data only. The percentage of variance explained is reported on each axis. |
format |
Still Image |
author |
Elliot Sivel (11104990) Benjamin Planque (641756) Ulf Lindstrøm (641757) Nigel G. Yoccoz (112251) |
author_facet |
Elliot Sivel (11104990) Benjamin Planque (641756) Ulf Lindstrøm (641757) Nigel G. Yoccoz (112251) |
author_sort |
Elliot Sivel (11104990) |
title |
Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B). |
title_short |
Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B). |
title_full |
Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B). |
title_fullStr |
Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B). |
title_full_unstemmed |
Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B). |
title_sort |
dynamical principal component analysis (dpca) on fluxes generated by the ndnd and can models and displayed as scatter plot (a) and projection of initial variables (b). |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pone.0254015.g005 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea Subarctic |
genre_facet |
Barents Sea Subarctic |
op_relation |
https://figshare.com/articles/figure/Dynamical_principal_component_analysis_dPCA_on_fluxes_generated_by_the_NDND_and_CaN_models_and_displayed_as_scatter_plot_A_and_projection_of_initial_variables_B_/14939821 doi:10.1371/journal.pone.0254015.g005 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0254015.g005 |
_version_ |
1766369457355096064 |