Search results for "Temporal"

showing 10 items of 1095 documents

Phytoplankton biovolume from a site and flooding area in the National Pack Las Tablas de Daimiel (1996-2002) [Dataset]

2002

Esta matriz de datos contiene: a) el biovolumen de las especies encontradas en el punto llamado Molemocho del humedal de Las Tablas de Daimiel desde 1996 a 2002 muestreado mensualmente y b) el área de inundación del humedal en esos años. Los métodos de toma de muestras y observación, clasificación, recuento y cálculo del biovolumen, así como más información sobre el humedal se pueden encontrar, entre otras publicaciones en Rojo et al. 2012 (Trade-offs in plankton species richness arising from drought: insights from long-term data of a National Park wetland (central Spain). Biodversity and Consrvation. http://dx.doi.org/10.1007/s10531-012-0307-1). La información de a) está ordenada en filas …

serie temporal largaárea de inundacióndiversidadbiovolumenMolemochoFitoplancton
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Statistical inference for eye movement sequences using spatial and spatio-temporal point processes

2017

Eye tracking is a widely used method for recording eye movements, which are important indicators of ongoing cognitive processes during the viewing of a target stimulus. Despite the variety of applications, the analyses of eye movement data have been lacking of methods that could take both the spatial and temporal information into account. So far, most of the analyses are based on strongly aggregated measures, because eye movement data are considered to be complex due to their richness and large variation between and within the individuals. Therefore, the eye movement methodology needs new statistical tools in order to take full advantage of the data. This dissertation is among the first stud…

silmänliikkeetdatapisteprosessitspatio-temporal datamittausdata analysistilastomenetelmättrackingeye movementpoint processesstokastiset prosessit
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Antennal lobe representations are optimized when olfactory stimuli are periodically structured to simulate natural wing beat effects

2014

Animals use behaviors to actively sample the environment across a broad spectrum of sensory domains. These behaviors discretize the sensory experience into unique spatiotemporal moments, minimize sensory adaptation, and enhance perception. In olfaction, behaviors such as sniffing, antennal flicking, and wing beating all act to periodically expose olfactory epithelium. In mammals, it is thought that sniffing enhances neural representations; however, the effects of insect wing beating on representations remain unknown. To determine how well the antennal lobe produces odor-dependent representations when wing beating effects are simulated, we used extracellular methods to record neural units an…

sniffingPopulation Dynamicsactive sensingSensory systemodor representationLocal field potentialOlfactionBiologylcsh:RC321-57103 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicinetemporal codingSniffingmedicineOriginal Research Articlelcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologyDiscrimination (Psychology)Stimulus discrimination0303 health sciencesSensory AdaptationCommunicationbusiness.industrysynchronynetwork dynamicsmedicine.anatomical_structureOdoroscillationsAntennal lobebusinessNeuroscienceOlfactory epithelium030217 neurology & neurosurgeryNeuroscienceolfactionFrontiers in Cellular Neuroscience
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Principles of social media monitoring and analysis software

2013

social network analysisverkkoyhteisöttietokoneohjelmatsosiaalinen mediamonitorointitiedonhakujärjestelmätohjelmistosuunnittelutargeted crawlersosiaaliset verkostotanalyysitietokannathakuohjelmatmultirelational graphseurantasocial media analysisgraafittemporal database
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Models and methods for space and space-time interactions in complex point processes with applications on earthquakes

spatial covariatespatial point processeearthquakes; hybrids of Gibbs point processes; spatial covariates; spatial point processes; hypothesis testing; local indicators of spatio-temporal association; permutation-based tests; second-order product density function; log-Gaussian Cox process; spatial anisotropy; spatio-temporal point process; clustering detectionlog-Gaussian Cox proceearthquakehybrids of Gibbs point processehypothesis testinglocal indicators of spatio-temporal associationpermutation-based testspatial anisotropysecond-order product density functionspatio-temporal point proceSettore SECS-S/01 - Statisticaclustering detection
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Continuum: A spatiotemporal data model to represent and qualify filiation relationships

2013

International audience; This work introduces an ontology-based spatio-temporal data model to represent entities evolving in space and time. A dynamic phenomenon generates a complex relationship network between the entities involved in the process. At the abstract level, the relationships can be identity or topological filiations. The existence of an identity filiation depends on whether the object changes its identity or not. On the other hand, topological filiations are based exclusively on the spatial component, like in the case of growth, reduction, merging or splitting. When combining identity and topological filiations, six filiation relationships are obtained, forming a second abstrac…

spatial dynamicsTheoretical computer sciencefiliationintegrity constraintsSpatio-temporal modelingspatio-temporal evolutionComputer scienceOntology (information science)Object (computer science)computer.software_genreSemantic data modelConsistency (database systems)[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Data modelData integrityI.2.4 [ARTIFICIAL INTELLIGENCE]: Knowledge Representation Formalisms and Methods - Semantic networks. I.2.3 [ARTIFICIAL INTELLIGENCE]: Deduction and Theorem Proving - Inference engines.Identity (object-oriented programming)semanticreasoningData mining[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]computerSemantic Web
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La modélisation de l'information spatio-temporelle

2012

spatial dynamicsdynamiques spatiales[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryespace-tempsfonctions urbainesspaceHistorical sciencestemporalitémodellingurban functionspace-timeespace[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistorycityGeographical information systemtempsSystème d'information géographique[SHS.STAT] Humanities and Social Sciences/Methods and statisticsvilleSciences historiques[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticstimemodélisation
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Local methods for complex spatio-temporal point processes

2022

spatial statisticsecond-order characteristicspatio temporal point processesummary statisticsSettore SECS-S/01 - Statisticalocal feature
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Bayesian temporal and spatio-temporal Markov switching models for the detection of influenza outbreaks

2017

Influenza is a disease which affects millions of people every year and causes hundreds of thousends of deads every year. This disease causes substantial direct and indirect costs every year. The influenza epidemic have a particular behavior which shapes the statistical methods for their detection. Seasonal epidemics happen virtually every year in the temperate parts of the globe during the cold months and extend throughout whole regions, countries and even continents. Besides the seasonal epidemics, some nonseasonal epidemics can be observed at unexpected times, usually caused by strains which jump the barrier between animals and humans, as happened with the well known Swine Flu epidemic, w…

spatio-temporal models:MATEMÁTICAS::Estadística ::Técnicas de inferencia estadística [UNESCO]outbreaks detectionbayesianUNESCO::MATEMÁTICAS::Estadística ::Técnicas de inferencia estadísticamarkov switching modelsinfluenza
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Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes

2018

We propose a new fitting method to estimate the set of second-order parameters for the class of homogeneous spatio-temporal log-Gaussian Cox point processes. With simulations, we show that the proposed minimum contrast procedure, based on the spatio-temporal pair correlation function, provides reliable estimates and we compare the results with the current available methods. Moreover, the proposed method can be used in the case of both separable and non-separable parametric specifications of the correlation function of the underlying Gaussian Random Field. We describe earthquake sequences comparing several Cox model specifications.

spatio-temporal pair correlation functionEnvironmental EngineeringGaussianminimum contrast methodnon-separable covariance function010502 geochemistry & geophysics01 natural sciencesPoint processGaussian random fieldSet (abstract data type)010104 statistics & probabilitysymbols.namesakeCorrelation functionEnvironmental Chemistry0101 mathematicsSafety Risk Reliability and Qualityearthquakes0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and TechnologyParametric statisticsMathematicslog-Gaussian Cox processesEstimation theoryContrast (statistics)symbolsEarthquakes Log-Gaussian Cox processes Minimum contrast method Non-separable covariance function Spatio-temporal pair correlation functionSettore SECS-S/01 - StatisticaAlgorithm
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