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Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

Authors
/persons/resource/Donges

Donges,  Jonathan Friedemann
Potsdam Institute for Climate Impact Research;

/persons/resource/heitzig

Heitzig,  Jobst
Potsdam Institute for Climate Impact Research;

Beronov,  B.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

/persons/resource/Marc.Wiedermann

Wiedermann,  Marc
Potsdam Institute for Climate Impact Research;

Runge,  J.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Feng,  Q. Y.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Tupikina,  L.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Stolbova,  V.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

/persons/resource/Reik.Donner

Donner,  Reik V.
Potsdam Institute for Climate Impact Research;

/persons/resource/Marwan

Marwan,  Norbert
Potsdam Institute for Climate Impact Research;

Dijkstra,  H. A.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Citation

Donges, J. F., Heitzig, J., Beronov, B., Wiedermann, M., Runge, J., Feng, Q. Y., Tupikina, L., Stolbova, V., Donner, R. V., Marwan, N., Dijkstra, H. A., Kurths, J. (2015): Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package. - Chaos, 25, 113101.
https://doi.org/10.1063/1.4934554


Cite as: https://publications.pik-potsdam.de/pubman/item/item_20362
Abstract
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