Search results for " Spatial"

showing 10 items of 582 documents

Integreating geological and seismological data in point process models for seismical analysis

2017

Nowadays in the seismic and geological fields, large and complex data sets are available. This information is a valuable source that can be used for improving the seismic hazard assessment of a given region. In particular, the integration of geologic variables into point process models to study seismic pattern is an open research field that has not been fully explored. In this work, we present several open-access datasets (the catalogue of the earthquakes, geological information such as faults, plate boundary and the presence of volcanoes) that are properly treated to describe the seismicity of events occurred in Greece between 2005 and 2014. We use these datasets to fit an advanced spatial…

spatial covariateearthquakegeologica informationearthquake; point process; spatial covariates; geologica information; GIS; faultsfaultspoint proceGIS
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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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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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Hétérogénéité spatiale : principes et méthodes

2004

Spatial Heterogeneity : Principles and Methods This article has a dual purpose . First , it describes the main econometric specifications which can be used to represent spatial heterogeneity , reflected in an instability of parameters in space and / or a heteroscedasticity of error terms . Only the specifications valid in cross-section are examined . Second , it explains the links between spatial heterogeneity and autocorrelation , the other major feature of localised data , defined by the absence of independence between geographical observations . In particular , we look at the extent to which traditional tests of heteroscedasticity or instability need to be amended to take account of spat…

spatial econometrics ; spatial heterogeneity ; structural instability ; heteroscedasticity ; JEL Classification C51 - C52 - R15hétérogénéité spatiale ; économétrie spatiale ; Classification JEL C51 - C52 - R15 ; hétéroscédasticité ; instabilité structurelleGeographyBusiness and International ManagementGeneral Economics Econometrics and FinanceHumanitiesÉconomie & prévision
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Archaedyn - Workshop 1 - The dynamics of agricultural areas in the long term

2019

spatial modellingLidarlandscape archaeologyespace rural[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistoryspatial analysisarchéologie du paysagerural spaceprospectionfieldwalking surveyanalyse spatialemodélisation
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Archaedyn - Workshop 1 - The dynamics of agricultural areas in the long term

2019

Document destiné à être publié dans l’ouvrage ARCHAEDYN. Dynamique spatiale des territoires de la Préhistoire au Moyen Âge, auteurs : BERTONCELLO, F., FAVORY, F., GAUTHIER, E., GEORGES-LEROY, M., NUNINGER, L., POIRIER, N., WELLER, O., à paraître aux PUFC, Besançon, collection Cahiers de la MSHE, série Dynamiques territoriales.

spatial modellingLidarlandscape archaeologyespace ruralspatial analysisarchéologie du paysage[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryrural spaceprospectionfieldwalking surveyanalyse spatialemodélisation
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Methods for territorial intelligence

2006

Quantitative methods which are used by social sciences for thirty years can provide tools to help territorial actors better managing their territories. This short paper outlines an inventory of the kinds of methods that are usable within this framework.

spatial simulation[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.GEO] Humanities and Social Sciences/Geographysimulation spatialeinferential methodsexploratory methods[SHS.GEO]Humanities and Social Sciences/Geographyméthodes confirmatoires[ SHS.HISPHILSO ] Humanities and Social Sciences/History Philosophy and Sociology of Sciences[ SHS.GEO ] Humanities and Social Sciences/Geography[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of Sciencesméthodes exploratoires[SHS.HISPHILSO] Humanities and Social Sciences/History Philosophy and Sociology of Sciences[SHS.STAT] Humanities and Social Sciences/Methods and statisticsterritorial intelligence[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsIntelligence territorialeComputingMilieux_MISCELLANEOUS
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Sharing and disseminating knowledge of advanced spatial modelling. Presentation of an action carried out by the European research group S4 (spatial s…

2006

International audience; The European research group S4 (Spatial simulation for social sciences) gathers researchers in geography as well as in geographical information sciences coming from about 30 European research centres. One action of the European research group S4 consists in sharing and disseminating knowledge of advanced spatial modelling. We propose here to describe several aspects of this action that are of interest considering the objectives of the CAENTI. The first aim of the action is to improve the diffusion of the results of the research in advanced spatial modelling, particularly in direction of regional and urban management and planning. The second aim is the development of …

spatial simulationspatial modellingInternet[SHS.SOCIO]Humanities and Social Sciences/Sociology[SHS.SOCIO] Humanities and Social Sciences/Sociology[SHS.GEO] Humanities and Social Sciences/Geographysimulation spatialeknowledge dissemination[ SHS.SOCIO ] Humanities and Social Sciences/Sociology[SHS.GEO]Humanities and Social Sciences/Geographygeography[ SHS.HISPHILSO ] Humanities and Social Sciences/History Philosophy and Sociology of Sciences[ SHS.GEO ] Humanities and Social Sciences/Geographygéographie[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of SciencesTerritorial Intelligence[SHS.HISPHILSO] Humanities and Social Sciences/History Philosophy and Sociology of SciencesComputingMilieux_MISCELLANEOUSIntelligence territorialeIntelligence Territorial
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Probabilistic and preferential sampling approaches offer integrated perspectives of Italian forest diversity

2023

Aim: Assessing the performances of different sampling approaches for documenting community diversity may help to identify optimal sampling efforts and strategies, and to enhance conservation and monitoring planning. Here, we used two data sets based on probabilistic and preferential sampling schemes of Italian forest vegetation to analyze the multifaceted performances of the two approaches across three major forest types at a large scale. Location: Italy. Methods: We pooled 804 probabilistic and 16,259 preferential forest plots as samples of vascular plant diversity across the country. We balanced the two data sets in terms of sizes, plot size, geographical position, and vegetation types. F…

spatially constrained rarefaction curveEcologyco-occurrence datadetrended correspondence analysisregional surveytemperate forestsvegetation databaseindicator species analysisbiodiversity co-occurrence data detrended correspondence analysis indicator species analysis regional survey spatially constrained rarefaction curve temperate forests vegetation database zonal vegetationPlant Sciencezonal vegetationbiodiversityJournal of Vegetation Science
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Caractérisation de la structure génétique spatiale des populations de petits rhinolophes en Franche-Comté

2011

straucture génétique spatialerhinolophes[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/GeographyFranche-Comté[ SHS.GEO ] Humanities and Social Sciences/Geography
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