Search results for "statistique spatiale"

showing 6 items of 6 documents

Prévision et spatialisation des concentrations en ozone troposphérique en Bourgogne

2006

This PhD done in the Centre de Recherche de Climatologie, UMR 5210 CNRS of University of Burgundy has been supported by the Conseil Régional de Bourgogne, and the AASQA of Burgundy (Atmosf'Air). The ozone, a poison gas, is the core of this research because it is considered as one of the major worrying atmospheric pollutants in this region. We have conducted a study focused on hourly concentrations of measured ozone over several years for 12 stations. Their spatial and temporal variability are related to some features outside of the region (ground-level ozone, synoptic-scale conditions) and inside of the region (physical properties, land cover, meteorological features and precursor potential…

[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere[ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean Atmospheretropospheric ozoneprévision statistico-dynamiqueanalyse et statistique spatialesstatistico-dynamical forecastspatial analysis[SDU.OCEAN] Sciences of the Universe [physics]/Ocean AtmosphereBourgogneBurgundyOzone troposphérique
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Inférence de la résistance du paysage au flux de gènes à l'aide de modèles gravitaires intégrant des variables intra-populationnelles

2021

International audience; Modéliser les mouvements de dispersion nécessite d'associer aux éléments paysagers des valeurs de coût caractérisant leur résistance aux déplacements. En landscape genetics, l'inférence de ces valeurs se fait à partir de mesures de différenciation génétique entre populations. Bien que l'hétérogénéité spatiale des tailles de populations puisse aussi influencer de façon significative la différenciation génétique, les variables intra-populationnelles sont rarement prises en compte dans ce type d'inférence. Nous avons étudié à quel point la prise en compte de ces variables pouvait améliorer l'inférence des coûts. Pour cela, nous avons simulé des flux de gènes entre 60 po…

[SDE.BE] Environmental Sciences/Biodiversity and Ecologyflux de gènesconnectivité du paysagelandscape geneticsstatistique spatiale[SDE.BE]Environmental Sciences/Biodiversity and Ecologymodèles gravitaires
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L'altimétrie, productrice de données pour l'archéologie spatiale

2007

International audience

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryVaunagestatistique spatialepentesarchéologie spatialeSIGaltimétrieanalyse multivariée[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryLanguedocdistances pondéréesensoleillementmaîtrise visuelleComputingMilieux_MISCELLANEOUStopographiemodélisationterritoires
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Analyse de la distribution spatiale des implantations humaines : apports et limites d’indicateurs multi-échelles et trans-échelles

2020

As human beings, it is easy for us to judge visually whether a distribution is dispersed or concentrated. However, the quantitative formalization of our impressions is problematic. It depends on the scales of the chosen analysis. This dependence of indicators on scales has changed. It is initially considered as a barrier to knowledge, it now reflects the multi-scale organisation of the distributions studied. The central objective of this thesis is to investigate the limits and contribution of multi-scale and trans-scale indicators to the study of the spatial distributions of human settlements.Spatial analysis aims at comparing spatial distributions to a uniform distribution. The way in whic…

Statistique spatialeAnalyse trans-échelleSettlementSpatial statisticsAnalyse fractale[SHS.GEO] Humanities and Social Sciences/GeographyFractal analysisEchelle[SHS.GEO]Humanities and Social Sciences/GeographyMultifractalMultifractaleScalePeuplement
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L'évolution de l'occupation humaine : l'analyse spatiale exploratoire des données.Le problème de l'incertitude et de l'hétérogénéité des données en a…

2011

The analysis of the evolution of the settlement requires a lot of methodological questioning. Despite a frequent use of the spatial analysis methods, few works return to their methodological problems. This article proposes to make a comparison and a discussion around two exploratory statistical methods (the K function of Ripley and the Kernel Density Estimation). It seems that scale, quality and quantity of input data, are three essential parameters to be taken into account so as to lead a spatial analysis in archaeology. In intrinsic way, archaeological data are non homogeneous. For that purpose, our article proposes a multi scalar approach integrating the non homogeneousness character of …

fonction K de Ripley[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 PrehistoryPoint patternsemis de pointsESDAKernel Density Estimation.estimation des densités de noyaux.statistique spatialeK Ripley function[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.STAT] Humanities and Social Sciences/Methods and statisticsAnalyse spatialeSpatial analyst[ SHS.STAT ] Humanities and Social Sciences/Methods and statistics
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Approche archéo-sociologique. Réseaux d'échanges

2012

archéologie funéraire[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[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 Prehistory[SHS.STAT] Humanities and Social Sciences/Methods and statisticspeau socialestatistique spatialeBronze final[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsorganisation sociale
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