Generalised Recurrence Plot Analysis for Spatial Data

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dc.creatorMarwan, Norbert
dc.creatorKurths, Juergen
dc.creatorSaparin, Peter
dc.date2006-06-20
dc.date.accessioned2026-07-07T08:08:57Z
dc.date.available2026-07-07T08:08:57Z
dc.descriptionRecurrence plot based methods are highly efficient and widely accepted tools for the investigation of time series or one-dimensional data. We present an extension of the recurrence plots and their quantifications in order to study recurrent structures in higher-dimensional spatial data. The capability of this extension is illustrated on prototypical 2D models. Next, the tested and proved approach is applied to assess the bone structure from CT images of human proximal tibia. We find that the spatial structures in trabecular bone become more self-similar during the bone loss in osteoporosis.
dc.identifierhttps://arxiv.org/abs/nlin/0606053
dc.identifierhttp://arxiv.org/abs/nlin/0606053
dc.identifierPhysics Letters A, 360(4-5), 2007, 545-551
dc.identifierdoi:10.1016/j.physleta.2006.08.058
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131439
dc.subjectChaotic Dynamics
dc.titleGeneralised Recurrence Plot Analysis for Spatial Data
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