Search results for "Spatial model"

showing 10 items of 38 documents

Compact city: agent-based simulation and sustainability assessment

2013

compact cityspatial modeling[SHS.GEO] Humanities and Social Sciences/Geographyurban renewalLUTI modelsdecision making
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A spatial analysis of Italian unemployment differences

2008

Using spatial econometric models, this paper focuses attention on the spatial structure of provincial unemployment disparities of Italian provinces for the year 2003. On the basis of findings from the economic literature and of the available socio-economic data, various model specifications including supply- and demand-side variables are tested. Further we use ESDA analysis as equivalent to integration analysis on time series; therefore it is applied on each variable, dependent and independent, involved in the statistical model. The suggestions of ESDA lead us to the most adequate statistical model, which estimates indicate that there is a significant degree of neighbouring effect (i.e. pos…

Statistics and ProbabilitySpatial correlationSpatial structuremedia_common.quotation_subjectESDAStatistical modelSDG 8 - Decent Work and Economic Growth/dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growthMunicipal levelEconometric modelVariable (computer science)Spatial modelsUnemploymentEconometricsEconomicsCommon spatial patternRegional unemploymentStatistics Probability and Uncertaintymedia_common
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Productivity analysis of Latvian companies using ORBIS database

2021

International audience; This research study uses ORBIS microdata at the company level to analyse productivity of 167 thousand economically active Latvian companies over 2011-2018. The aim of the study is twofold-to find factors consistently associated with productivity at the company level; and to recommend possible criteria for companies to receive a state support (from the view of enhancing aggregate productivity in the long term). Our research results show that productivity of Latvian companies is positively related to their size, age, as well as location closer to Riga and other big cities. However, there is a substantial within-group variation in productivity between companies. Multiva…

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 Modelsproductivitycompany agemicro dataJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R3 - Real Estate Markets Spatial Production Analysis and Firm Location/R.R3.R32 - Other Spatial Production and Pricing Analysiscompany size[SHS.ECO]Humanities and Social Sciences/Economics and FinanceORBIScompany location:SOCIAL SCIENCES [Research Subject Categories]JEL: L - Industrial Organization/L.L6 - Industry Studies: Manufacturing/L.L6.L60 - General
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The spatial dimension of the French private rental markets: Evidence from microgeographic data in 2015

2021

International audience; This article draws on data collected by local rental observatories in 12 French urban units in 2015 to analyze the spatial dimension of hedonic rental prices in the private rental market through (i) the spatial heterogeneity between urban units and (ii) the wide variety of contextual and locational characteristics (socio-economic, environmental (dis)amenity, and accessibility) and flexible specifications to capture their potential non-linear influence on rent. Based on a joint test of equality of coefficients across all urban units, we find that hedonic prices differ for 75% of the characteristics, thereby justifying a detailed analysis of heterogeneity. Lyon, Nice, …

Geography Planning and Development0211 other engineering and technologies02 engineering and technologyHedonic modelsManagement Monitoring Policy and LawJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsPrivate rental marketsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R3 - Real Estate Markets Spatial Production Analysis and Firm Location/R.R3.R31 - Housing Supply and MarketsRenting0502 economics and business11. SustainabilityArchitectureEconomicsEconomic geography050207 economicsDimension (data warehouse)Nature and Landscape Conservationbusiness.industry05 social sciences021107 urban & regional planning[SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture economy and politics[SHS.ECO]Humanities and Social Sciences/Economics and FinanceSpatial heterogeneityUrban StudiesSpatial heterogeneitybusiness
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Stratégie d'aménagement pour le développement durable d'aires métropolitaines par un système multi-scalaire d'aide à la décision : l'exemple de Vienne

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 (e.g. pedestrian-friendly environments, well-balanced public and private transport modes, efficient street networks, land use, movement economy; access for all to jobs, retail, services; healthcare, culture and leisure). 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 rela…

sustainable developmentmodélisation et visualisation spatiales[SHS.GEO] Humanities and Social Sciences/Geographyaménagement multi-échellesagglomerationsvilles[SHS.GEO]Humanities and Social Sciences/Geographyagglomérationsaccessibility[ SHS.GEO ] Humanities and Social Sciences/Geographyspatial modeling and visualizationaménagement stratégiquesstrategic multi-scale planningcitiesdéveloppement durable et constructifaccessibilité
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Un Modello Computerizzato di Valutazione dei Suoli per la Zonazione Vitivinicola Ecosostenibile in Aree Siciliane

2013

Settore AGR/14 - PedologiaVitivinicoltura ecosostenibile Valutazione dei Suoli Spatial Modeling
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Demographic change, new business formation and spatial concentration of population

2015

This paper investigates the role of urbanization in the relation between population change and new business formation. The hypothesis of research is that population change significantly influences new business formation only in regions at lower urbanization. This hypothesis is based on the idea that local demand and growing population are significant determinants of new business formation only for rural regions. Using Italian data, we find evidence in support of this hypothesis. Moreover, we find that evidence of spatial dependence in the relation between population change, new business formation and urbanization.

Urbanization Spatial modelsSettore SECS-S/03 - Statistica EconomicaPopulation changeNew business formation
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C4 plant isotopic composition (delta13C) evidence for urban CO2 pollution in the city of Cotonou, Benin (West Africa).

2006

9 pages; International audience; The carbon isotopic composition (delta13C) of plants can reveal the isotopic carbon content of the atmosphere in which they develop. The delta13C values of air and plants depend on the amount of atmospheric fossil fuel CO2, which is chiefly emitted in urban areas. A new indicator of CO2 pollution is tested using the delta13C variation in a C4 grass: Eleusine indica. A range of about 4 per thousand delta units was observed at different sites in Cotonou, the largest city in the Republic of Benin. The highest delta13C values, from -12 per thousand to -14 per thousand, were found in low traffic zones; low delta13C values, from -14 per thousand to -16 per thousan…

DeltaMESH: Air PollutantsAir pollutionmedicine.disease_causeMESH: Carbon DioxideEleusine[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/GeochemistryBeninMESH : Environmental MonitoringWaste Management and DisposalIsotope analysismedia_commonVehicle EmissionsAir PollutantsCarbon Isotopesgeography.geographical_feature_categoryδ13CMESH: EleusinePollutionSpatial modelingMESH : Carbon Dioxide[ SDE.MCG ] Environmental Sciences/Global ChangesMESH: Vehicle EmissionsCO2MESH : Carbon IsotopesMESH : CitiesMESH: Environmental MonitoringEnvironmental MonitoringPollutionMESH: Air PollutionEnvironmental Engineeringmedia_common.quotation_subject[SDE.MCG]Environmental Sciences/Global ChangesMESH : Vehicle EmissionsMESH : Air Pollutants[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil study[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studySpatial distributionUrban areaMESH: BeninAir PollutionMESH : EleusinemedicineMESH: CitiesEnvironmental ChemistryCitiesgeographybusiness.industryδ13C valuesFossil fuelEnvironmental engineeringMESH: Carbon IsotopesUrban areaCarbon Dioxide[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/GeochemistryC4 grassMESH : BeninMESH : Air PollutionEnvironmental sciencePhysical geographybusiness
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The prevalence of onchocerciasis in Africa and Yemen, 2000-2018: a geospatial analysis.

2022

Abstract Background Onchocerciasis is a disease caused by infection with Onchocerca volvulus, which is transmitted to humans via the bite of several species of black fly, and is responsible for permanent blindness or vision loss, as well as severe skin disease. Predominantly endemic in parts of Africa and Yemen, preventive chemotherapy with mass drug administration of ivermectin is the primary intervention recommended for the elimination of its transmission. Methods A dataset of 18,116 geo-referenced prevalence survey datapoints was used to model annual 2000–2018 infection prevalence in Africa and Yemen. Using Bayesian model-based geostatistics, we generated spatially continuous estimates o…

Onchocerciasis; Geospatial model; Neglected tropical diseases;IvermectinYemenSettore MED/06 - Oncologia MedicaSettore MED/42 - Igiene Generale e ApplicataNigeriaBayes TheoremGeneral MedicineOnchocerciasisGhanaSettore MED/01 - Statistica MedicaGeneral & Internal MedicinePrevalenceHumansGeospatial model11 Medical and Health SciencesNeglected tropical diseasesBMC medicine
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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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