Inferring ecosystem networks as information flows
Abstract The detection of causal interactions is of great importance when inferring complex ecosystem functional and structural networks for basic and applied research. Convergent cross mapping (CCM) based on nonlinear state-space reconstruction made substantial progress about network inference by m...
Guardado en:
Autores principales: | Jie Li, Matteo Convertino |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/500251135e5341b4bbe4c8ca622ec074 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Author Correction: Inferring ecosystem networks as information flows
por: Jie Li, et al.
Publicado: (2021) -
Temperature increase drives critical slowing down of fish ecosystems.
por: Jie Li, et al.
Publicado: (2021) -
Optimal responsiveness and information flow in networks of heterogeneous neurons
por: Matteo Di Volo, et al.
Publicado: (2021) -
Network Inference and Maximum Entropy Estimation on Information Diagrams
por: Elliot A. Martin, et al.
Publicado: (2017) -
A Robust Method for Inferring Network Structures
por: Yang Yang, et al.
Publicado: (2017)