Search results for "Spatial Autocorrelation"

showing 5 items of 15 documents

Spatio-temporal Vegetation Recuperation after a Grassland Fire in Lithuania

2013

The aim of this work is to study the spatio-temporal effects of a grassland fire in Lithuania. Immediately after the fire, a experimental plot was designed in a east-faced slope. Vegetation cover and height were measured 10, 17, 31 and 46 days after the fire (vegetation cover was only measured until 31 days after the fire because in the last measurement campaign the plot was completely covered). The results showed that vegetation recovered very fast. Ten days after the fire vegetation cover and height distribution were heterogeneous, decreasing with the time due to vegetation spread. Vegetation recovered was specially observed between 17 and 31 days after the fire due vegetation recuperatio…

Vegetation cover and heightHydrologygeographygeography.geographical_feature_categorySpatial structureVegetation recuperationLithuaniaSoil scienceEnhanced vegetation indexseparated by semicolonsspatial autocorrelationGrasslandVegetation coverNutrientGrassland firemedicineErosionType your keywords hereGeneral Earth and Planetary SciencesEnvironmental sciencemedicine.symptomVegetation (pathology)General Environmental ScienceProcedia Environmental Sciences
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Beyond GDP: an analysis of the socio-economic diversity of European regions

2019

International audience; This paper aims to analyze the socioeconomic diversity of the European Union (EU-28) regions from a dynamic perspective. For that purpose, we combine a series of exploratory space-time analysis approaches to multiple Factor Analysis (MFA) applied to a large range of indicators collected at the NUTS-2 level for the period 2000–2015 for the EU-28. First, we find that the first factor of MFA, interpreted as economic development (ECO-DEV), is spatially clustered and that a moderate convergence process is at work between European regions from 2000 to 2015. Second, when comparing these results with those obtained for Gross Domestic Product (GDP) per capita, we show that th…

VolkswirtschaftstheorieinequalityEconomics[SDV]Life Sciences [q-bio]UngleichheitRaumplanung und RegionalforschungEconomicsEconomic geographysozioökonomische Lage050207 economicsddc:710media_commoneconomic development (on national level)Städtebau Raumplanung Landschaftsgestaltung050208 finance05 social sciencesArea Development Planning Regional Research109001. No povertyWirtschaftsocioeconomic positionRegionalpolitik[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SDV] Life Sciences [q-bio]Multiple factor analysis8. Economic growthExploratory space-time analysisBildungsniveauregional policySpatial autocorrelationNational EconomyEconomics and Econometricsmedia_common.quotation_subjectEuropean regionsArbeitsmarktWirtschaftsentwicklunglevel of education0502 economics and businessMultiple factor analysisddc:330media_common.cataloged_instanceMessungEuropean unionDatengewinnungBeyond gdpSpatial analysisSocioeconomic statusspatial autocorrelation; European regions; exploratory space-time analysis; multiple factor analysisLandscaping and area planningBevölkerungsentwicklungPerspective (graphical)EU policypopulation developmentregional differencedata captureregionaler UnterschiedEU-Politikmeasurementlabor marketEUDiversity (politics)Applied Economics
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Does Airbnb Disrupt the Private Rental Market? An Empirical Analysis for French Cities

2019

This article evaluates whether Airbnb rentals affect the rents in the private rental sector in eight cities in France. We estimate a hedonic equation for each city on individual data for apartments, allowing for heteroscedasticity and spatial error autocorrelation of unknown forms and using a large variety of structural and contextual characteristics of the apartments. We show that the density of Airbnb rentals puts upward pressure on rents in Lyon, Montpellier, and Paris, whereas it has no significant effect in other cities. If we restrict the analysis to the professional business of Airbnb rentals, which we define as the lodgings owned by an investor who rents either several “entire home…

apartment pricebusiness.industrymedia_common.quotation_subject[SDV]Life Sciences [q-bio]05 social sciencesEconomic rentGeneral Social SciencesAirbnbHospitality industryspatial autocorrelationUrban tourismRentingrental market0502 economics and businessIndividual datahedonic model050211 marketingEconomic geographyBusinessAccommodation050212 sport leisure & tourismGeneral Environmental Sciencemedia_common
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Diversity of the selected elements of agricultural potential in the European Union countries

2020

Agricultural importance in determining the directions of respective regions results from its production potential. The agricultural potential of a given country is determined by natural resources, ways of using them, natural conditions, workforce resources, technical resources and basic economic conditions. In this paper, only income and rural population are taken under consideration to describe the agricultural potential. Currently, European Union countries are functioning under the assumptions of the Common Agricultural Policy, assuming, among other things, increasing agricultural productivity, ensuring an adequate standard of living for the rural population and stabilising markets. The E…

business.industryStandard of livingAgricultural and Biological Sciences (miscellaneous)Agricultural economicsAgricultureagricultural; potential; spatial autocorrelationmedia_common.cataloged_instanceAgricultural policyBusinessEuropean unionAgricultural productivityGeneral Economics Econometrics and FinanceProductivityRural populationmedia_commonDiversity (business)Agricultural Economics (Zemědělská ekonomika)
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Changes in spatial and sectoral patterns of employment in Ile-de-France, 1978-1997

2006

International audience; This paper investigates the spatial distribution of employment in the region of Ile-de-France in 1978 and 1997. Exploratory spatial data analysis is used to identify employment centres and a sectoral analysis of the central business district (CBD) and sub-centres is performed. The results highlight a process of suburbanisation of employment in Ile-de-France between 1978 and 1997. A more polarised space emerges in 1997 than in 1978, with several employment centres specialised in different activities. Moreover, even if the spatial influence of the CBD declines over the study period, the CBD maintains its economic leadership by concentrating a large variety of high-orde…

employment centersemployment[ SHS.ECO ] Humanities and Social Sciences/Economies and financesexploratory spatial data analysis[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and Financespatial autocorrelationComputingMilieux_MISCELLANEOUSspatial patternssuburbanization
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