Search results for " spatio-temporal pattern"

showing 3 items of 3 documents

Role of the Colored Noise in Spatio-Temporal Behavior of Two Competing Species

2005

We study the spatial distributions of two randomly interacting species, in the presence of an external multiplicative colored noise. The dynamics of the ecosystem is described by a coupled map lattice model. We find a nonmonotonic behavior in the formation of large scale spatial correlations as a function of the multiplicative colored noise intensity. This behavior is shifted towards higher values of the noise intensity for increasing correlation time of the noise.

Settore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStatistical Mechanics (cond-mat.stat-mech)Scale (ratio)General MathematicsLotka–Volterra equationsMultiplicative functionStatistical MechanicSpatio-temporal patternsFOS: Physical sciencesGeneral Physics and AstronomyStatistical mechanicsFunction (mathematics)NoiseLotka-Volterra equationColors of noiseStatistical Mechanics; Noise induced effects; Lotka-Volterra equations; Spatio-temporal patternsStatisticsNoise induced effectStatistical physicsCondensed Matter - Statistical MechanicsMathematicsCoupled map lattice
researchProduct

Space-Time FPCA Clustering of Multidimensional Curves.

2018

In this paper we focus on finding clusters of multidimensional curves with spatio-temporal structure, applying a variant of a k-means algorithm based on the principal component rotation of data. The main advantage of this approach is to combine the clustering functional analysis of the multidimensional data, with smoothing methods based on generalized additive models, that cope with both the spatial and the temporal variability, and with functional principal components that takes into account the dependency between the curves.

Dependency (UML)Computer sciencebusiness.industryClustering of multidimensional curves GAM Spatio-temporal patternSpace timeGeneralized additive modelPattern recognition010502 geochemistry & geophysics01 natural sciences010104 statistics & probabilityPrincipal component analysisArtificial intelligence0101 mathematicsCluster analysisbusinessFocus (optics)Settore SECS-S/01 - StatisticaRotation (mathematics)Smoothing0105 earth and related environmental sciences
researchProduct

Space-time FPCA Algorithm for clustering of multidimensional curves.

2016

In this paper we focus on finding clusters of multidimensional curves with spatio-temporal structure, applying a variant of a k-means algorithm based on the principal component rotation of data. The main advantage of this approach is to combine the clustering functional analysis of the multidimensional data, with smoothing methods based on generalized additive models, that cope with both the spatial and the temporal variability, and with functional principal components that takes into account the dependency between the curves.

FPCA clustering of multidimensional curves GAM spatio-temporal pattern
researchProduct