Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/30791
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dc.contributor.authorGonzález, Jonatan A.-
dc.contributor.authorRodríguez-Cortés, Francisco J.-
dc.contributor.authorCronie, Ottmar-
dc.contributor.authorMateu, Jorge-
dc.contributor.otherDepartamentos de la UMH::Estadística, Matemáticas e Informáticaes_ES
dc.date.accessioned2024-01-26T22:24:41Z-
dc.date.available2024-01-26T22:24:41Z-
dc.date.created2016-11-03-
dc.identifier.citationSpatial Statistics, Volume 18, Part B, November 2016, Pages 505-544es_ES
dc.identifier.issn2211-6753-
dc.identifier.urihttps://hdl.handle.net/11000/30791-
dc.description.abstractSpatio-temporal point process data have been analysed quite a bit in specialised fields, with the aim of better understanding the inherent mechanisms that govern the temporal evolution of events placed in a planar region. In particular, in the last decade there has been an acceleration of methodological developments, accompanied by a broad collection of applications as spatio-temporally indexed data have become more widely available in many scientific fields. We present a self-contained review describing statistical models and methods that can be used to analyse patterns of points in space and time when the questions of scientific interest concern both their spatial and their temporal behaviour. We revisit moment characteristics that define summary statistics, as well as conditional intensities which uniquely characterise certain spatio-temporal point processes. We make use of these concepts to describe models and associated methods of inference for spatio-temporal point process data. Three new motivating real-data examples are described and analysed throughout the paper to illustrate the most relevant techniques, discussing the pros and cons of the different considered approaches.es_ES
dc.formatapplication/pdfes_ES
dc.format.extent40es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEdge-correctiones_ES
dc.subjectEmpirical modelses_ES
dc.subjectIntensity functiones_ES
dc.subjectMechanistic modelses_ES
dc.subjectSecond-order propertieses_ES
dc.subjectSeparabilityes_ES
dc.subject.classificationEstadística e investigación operativaes_ES
dc.subject.otherCDU::3 - Ciencias sociales::31 - Demografía. Sociología. Estadística::311 - Estadísticaes_ES
dc.titleSpatio-temporal point process statistics: A reviewes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.spasta.2016.10.002es_ES
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Artículos Estadística, Matemáticas e Informática


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