English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

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;

External Ressource
No external resources are shared
Fulltext (public)

6889oa.pdf
(Any fulltext), 8MB

Supplementary Material (public)
There is no public supplementary material available
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
There is no abstract available