Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/49466
Título: Spatial forecasting: Detecting determinism from single snapshots
Autores/as: Marcos-Nikolaus, Patrick
Martin-Gonzalez, JM 
Solé, Ricard V.
Clasificación UNESCO: 240210 Biología de poblaciones
Palabras clave: Dynamical-Systems
Chaos
Patterns
Information
Attractors, et al.
Fecha de publicación: 2002
Editor/a: 0218-1274
Publicación seriada: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering 
Resumen: In ecological systems, long, high-quality time series of population abundances is seldom available. However, in some cases populations are scattered over spatial domains where physical conditions appear to be homogeneous, and spatial snapshots of population abundance can be obtained. Since these spatial patterns are generated from underlying dynamical rules, an important problem is to detect the presence of determinism in these structures. In this paper, a simple model of determinism detection from spatial snapshots is presented, using a coupled map lattice formalism. It involves a simple forecasting approach where subparts of the lattice are used in order to make predictions based on the distance between neighbors. It is shown that the method is able to properly detect the presence of low-dimensional dynamics from single snapshots.
URI: http://hdl.handle.net/10553/49466
ISSN: 0218-1274
DOI: 10.1142/S0218127402004371
Fuente: International Journal Of Bifurcation And Chaos [ISSN 0218-1274], v. 12 (2), p. 369-376
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