Search results for "Spatial model"

showing 10 items of 38 documents

Spatial analysis of the relationship between mortality from cardiovascular and cerebrovascular disease and drinking water hardness

2004

Journal Article; Research Support, Non-U.S. Gov't; Reproduced with permission from Environmental Health Perspectives. Previously published scientific papers have reported a negative correlation between drinking water hardness and cardiovascular mortality. Some ecologic and case-control studies suggest the protective effect of calcium and magnesium concentration in drinking water. In this article we present an analysis of this protective relationship in 538 municipalities of Comunidad Valenciana (Spain) from 1991-1998. We used the Spanish version of the Rapid Inquiry Facility (RIF) developed under the European Environment and Health Information System (EUROHEIS) research project. The strateg…

GerontologyMaleMini-Monograph: Information SystemsHealth Toxicology and MutagenesisWater supply:Named Groups::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings]Disease:Health Care::Environment and Public Health::Public Health::Sanitation::Sanitary Engineering::Water Supply [Medical Subject Headings]Magnesio:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]PreescolarMediana EdadReference ValuesExposición a Riesgos AmbientalesMedicineCluster AnalysisMagnesiumMasculinoChildEnfermedades Cardiovascularesgeographic information systems:Named Groups::Persons::Age Groups::Child::Child Preschool [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Weights and Measures::Reference Values [Medical Subject Headings]AdultoAguaEpidemiologic SurveillanceEnvironmental exposureMiddle AgedHumanos:Health Care::Environment and Public Health::Public Health::Environmental Pollution::Environmental Exposure [Medical Subject Headings]Abastecimiento de aguarelative risk:Information Science::Information Science::Information Storage and Retrieval::Databases as Topic::Databases Factual::Geographic Information Systems [Medical Subject Headings]Cardiovascular DiseasesNiñoChild Preschool:Diseases::Nervous System Diseases::Central Nervous System Diseases::Brain Diseases::Cerebrovascular Disorders [Medical Subject Headings]Female:Named Groups::Persons::Age Groups::Infant [Medical Subject Headings]Risk assessmentAdulthierarchical spatial modelsAdolescentAncianoSistemas de Información Geográfica:Check Tags::Male [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Cluster Analysis [Medical Subject Headings]:Named Groups::Persons::Age Groups::Infant::Infant Newborn [Medical Subject Headings]Risk AssessmentCalcioWater Supply:Chemicals and Drugs::Inorganic Chemicals::Metals::Metals Alkaline Earth::Calcium [Medical Subject Headings]Environmental health:Named Groups::Persons::Age Groups::Adult [Medical Subject Headings]:Chemicals and Drugs::Inorganic Chemicals::Metals::Metals Light::Magnesium [Medical Subject Headings]Humans:Chemicals and Drugs::Inorganic Chemicals::Hydroxides::Water [Medical Subject Headings]:Named Groups::Persons::Age Groups::Adult::Aged [Medical Subject Headings]:Diseases::Cardiovascular Diseases [Medical Subject Headings]Socioeconomic status:Named Groups::Persons::Age Groups::Child [Medical Subject Headings]Agedbusiness.industry:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Assessment [Medical Subject Headings]Public Health Environmental and Occupational HealthInfant NewbornInfantWaterLactanteEnvironmental ExposureValores de ReferenciaAnálisis por ConglomeradosEstudios Epidemiológicosenvironmental epidemiologyCerebrovascular DisordersEpidemiologic StudiesTrastornos Cerebrovasculares:Check Tags::Female [Medical Subject Headings]Relative riskspatial smoothingCalciumbusinessMedición de Riesgo:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies [Medical Subject Headings]Environmental epidemiology
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Implementing ecosystem approach to fishery management: advances and new tools

2013

Desde la antigüedad, la pesca ha sido una fuente importante de alimentos para la humanidad, así como fuente de empleo y beneficios económicos para quienes se dedican a esta actividad. Sin embargo, con el aumento de los conocimientos científicos y la evolución dinámica de la pesca se hizo evidente de que los recursos acuáticos, aunque renovables, no eran infinitos y era necesario gestionar adecuadamente su contribución al bienestar nutricional, económico y el bienestar social de la población mundial para un crecimiento y desarrollo sostenible. En los últimos años, la pesca mundial se ha convertido en un sector dinámico y de desarrollo de la industria alimentaria. Los estados costeros han pro…

bayesian spatial modelsUNESCO::MATEMÁTICAS::Estadística::Técnicas de predicción estadística:MATEMÁTICAS::Estadística::Técnicas de predicción estadística [UNESCO]:CIENCIAS DE LA TIERRA Y DEL ESPACIO::Oceanografía::Zoología marina [UNESCO]ecosystem approach to fishery managementspecies distribution modelsUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO::Oceanografía::Zoología marina
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Identifying the best fishing-suitable areas under the new European discard ban

2016

Abstract The spatial management of fisheries has been repeatedly proposed as a discard mitigation measure. A number of studies have assessed the fishing suitability of an area based on units of by-catch or discard per unit effort. However, correct identification of fishing-suitable areas should assess biomass loss with respect to the benefits. This study therefore, proposes the analysis of by-catch ratios, which do represent benefit vs. loss and are standardized to a wide range of effort characteristics. Furthermore, our study proposes the use of two ratios: the proportion of total unwanted biomass out of the total catch as an indicator of the overall ecological impact, and the proportion o…

0106 biological sciencesspatial modelling.Ecologybeta regressionComputer science010604 marine biology & hydrobiologyFishingfood and beveragesAquatic Sciencefishing-suitable areaOceanography010603 evolutionary biology01 natural sciencesby-catchFisherydiscard ban14. Life underwaterEcology Evolution Behavior and Systematics
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The use of Burgundy stone from ancient times to the present day

2014

International audience; Burgundy stone is widely reputed for its quality and diversity. Because it is suitable for the various requirements of construction and sculpture, it has been used continuously since ancient times. Inventories drawn up so far by researchers have been piecemeal. A new comprehensive inventory has now been undertaken with a view to renewing the involvement of various academic disciplines (archaeology and history of architecture, socio-economic history and history of art). A partnership has been formed among various laboratories at the University of Burgundy in order to ensure the validity of archaeological and historical data, develop an open platform in the form of a W…

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryBurgundy stone[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistorySpatial AnalysesSpatial modellingGISSemantic Wiki
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A comparative analysis of different spatial sampling schemes: Modelling of SSRB data

2008

Low spatial resolution satellite sensors provide information over relatively large targets with typical pixel resolutions of hundreds of km2. However, the spatial scales of ground measurements are usually much smaller. Such differences in spatial scales makes the interpretation of comparisons between quantities derived from low resolution sensors and ground measurements particularly difficult. It also highlights the importance of developing appropriate sampling strategies when designing ground campaigns for validation studies of low resolution sensors. We make use of statistical modelling of high resolution surface shortwave radiation budget (SSRB) data to look into this problem. A spatial …

Set (abstract data type)PixelComputer scienceSpatial modelGeneral Earth and Planetary SciencesSampling (statistics)Statistical modelSatelliteShortwave radiationImage resolutionRemote sensingInternational Journal of Remote Sensing
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PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches

2019

Geospatial computation, data transformation to a relevant statistical software, and step-wise quantitative performance assessment can be cumbersome, especially when considering that the entire modelling procedure is repeatedly interrupted by several input/output steps, and the self-consistency and self-adaptive response to the modelled data and the features therein are lost while handling the data from different kinds of working environments. To date, an automated and a comprehensive validation system, which includes both the cutoff-dependent and –independent evaluation criteria for spatial modelling approaches, has not yet been developed for GIS based methodologies. This study, for the fir…

Performance analysiEnvironmental EngineeringGeospatial analysis010504 meteorology & atmospheric sciencesComputer scienceSettore GEO/04 - Geografia Fisica E GeomorfologiaComputationGoodness-of-fit010501 environmental sciencescomputer.software_genre01 natural sciencesRobustness (computer science)ValidationEnvironmental ChemistryWaste Management and Disposal0105 earth and related environmental sciencescomputer.programming_languageEnvironmental modellingReceiver operating characteristicSpatial modellingPerformance analysisLandslidePMTPython (programming language)22/4 OA procedurePollutionDrought riskITC-ISI-JOURNAL-ARTICLEData miningPredictive model evaluation frameworkcomputerScience of The Total Environment
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Interactions, spillovers de connaissance et croissance des villes européennes. Faut-il préférer la géographie, le climat institutionnel ou les réseau…

2013

Knowledge spillovers within urban economies are also sources of spillovers between cities. We examine how knowledge spillovers influenced the economic growth of 82 European metropolises over the 1990-2005 period. We model knowledge spillovers between cities on the basis of five specific interaction patterns based on geography, networks of multinational firms in advanced services, institutional climate and two combinations of these factors. Spatial models are estimated to detail the effects of growth factors in terms of spillovers and externalities. We show that spillovers are local rather than global and that interactions among cities accelerate the convergence process based on gross value …

JEL : C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction ModelsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesCROISSANCE URBAINE[SHS.ECO]Humanities and Social Sciences/Economics and FinanceURBAN GROWTHJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesINTERNATIONAL FIRM NETWORKSJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic ActivityJEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction ModelsSPILLOVERSSPATIAL ECONOMETRICSJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic ActivityRESEAUX DES FIRMES MULTINATIONALESINSTITUTIONS[ SHS.ECO ] Humanities and Social Sciences/Economies and financesÉCONOMÉTRIE SPATIALEJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity
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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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DEVELOPMENT OF SUSTAINABLE METROPOLITAN AREAS USING A MULTI-SCALE DECISION SUPPORT SYSTEM

2012

A sustainable and sustaining planning strategy is globally important for metropolitan areas. Sustainable planning addresses the development of strategies to reduce the use of resources, increase economic efficiency and improve integration of social aspects. In contrast, splinter development (e.g. urban sprawl) involves damage to nature and generation of an increasing volume of traffic (these are the main criticisms following a study by Newman and Kenworthy (1989) on the relationship between settlement density and energy consumption). Interestingly, the overly compact city also has this effect as it may generate traffic flows for accessing green and leisure areas, or changes of residence due…

sustainable developmentaménagement multi-échelles[SHS.GEO] Humanities and Social Sciences/GeographyagglomerationsModélisation et visualisation spatialesvillesSpatial modeling and visualizationaccessibilityaménagement stratégiquecitiesfractals.développement durable et constructifmulti-scale decision support systemaccessibilité
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Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility U…

2020

Piping erosion is one form of water erosion that leads to significant changes in the landscape and environmental degradation. In the present study, we evaluated piping erosion modeling in the Zarandieh watershed of Markazi province in Iran based on random forest (RF), support vector machine (SVM), and Bayesian generalized linear models (Bayesian GLM) machine learning algorithms. For this goal, due to the importance of various geo-environmental and soil properties in the evolution and creation of piping erosion, 18 variables were considered for modeling the piping erosion susceptibility in the Zarandieh watershed. A total of 152 points of piping erosion were recognized in the study area that…

pipinglcsh:Sdeep learninggeoinformaticshazard mappingnatural hazarderosionsusceptibilityBayesian generalized linear model (Bayesian GLM)lcsh:Agriculturemachine learningspatial modelinggeohazardbig datasupport vector machinedata sciencerandom forestLand
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