This study adopts Bayesian methods and models in order to tackle the excess of zeros, spatial and non-spatial over-dispersion, and spatial dependence simultaneously. Data for Catalonia (Spain) are used and location determinants are analysed
to that end. The results show that spatial effects are determinant. Additionally, over-dispersion is decomposed into an unstructured independently and identically distributed effect and a spatially structured effect.
This article examines Zipf’s Law and Canadian urban growth. It appears that the dynamics of growth follow a deterministic process related to existing urban size, previous growth and spatial structure. Splitting the Canadian urban system into two
one from the other from the point of view of spatial patterns of distribution of growth rates.
Austria ; Detached house ; Housing ; Housing cost ; Real estate market ; Spatial analysis ; Spatial variation
This article examines spatial heterogeneity (SH) in hedonic single-family-house price models through the case of Austria. Due to SH beyond the level of regional indicators, locally weighted regressions are proposed. Mixed geographically weighted
regression (MGWR) prevents the limitations of fixed effects by exploring spatially stationary and non-stationary price effects. Besides reducing prediction errors, it is concluded that global model misspecifications arise from improper selected fixed effects.
2014
[b4] Dept. of Spatial Economics, VU Univ., Amsterdam, Pays-Bas
Industry classification considering spatial distribution of manufacturing activities
Agglomération ; Analyse factorielle ; Branche industrielle ; Classification ; Concentration spatiale ; Corée du Sud ; Distribution spatiale ; Industrie
Agglomeration ; Classification ; Factor analysis ; Industrial branch ; Industry ; South Korea ; Spatial concentration ; Spatial distribution
Distribution spatiale des activités industrielles en Corée réparties en branches industrielles. Cent soixante-deux unités administratives de Corée et 180 branches industrielles sont analysés. L'association des branches individuelles est examiné
compte tenu de leur distribution spatiale, mesurée par leur concentration et leur agglomération. La classification est menée à l'aide d'une analyse factorielle pour identifier les branches qui peuvent être regroupées selon les caractéristiques de cette
distribution spatiale. L'analyse identifie cinq groupes majeurs d'industries.
A dynamic spatial weight matrix and localized space-time autoregressive integrated moving average for network modeling
Autocorrélation spatiale ; Calcul matriciel ; Dynamique spatiale ; England ; Espace-temps ; London ; Pondération spatiale ; Royaume-Uni ; Réseau de transports ; Statistique ; Trafic urbain ; Transport urbain
England ; London ; Matrix analysis ; Space time ; Spatial autocorrelation ; Spatial dynamics ; Spatial weighting ; Statistics ; Transport network ; United Kingdom ; Urban traffic ; Urban transport
Il s'agit de décrire l'autocorrélation dans des données de réseau avec une matrice dynamique spatiale pondérée et un modèle STARIMA qui capture l'auto-corrélation locale et dynamique. Test avec des données relatives au trafic dans le centre de
China ; Index ; Industrial concentration ; Industrial production ; Industry ; Spatial analysis ; Spatial autocorrelation ; Spatial concentration
This article measures geographical concentration of China's manufacturing industries by incorporating traditional indexes of inequality and measures of spatial autocorrelation at the global level and by applying and comparing the focal location
quotient (FLQ), to the local Moran's I. At the global level, the results show that this combination indexes could serve as useful dependent variables in modeling agglomeration effects across industries. At the local level, specific spatial patterns
Spatial and longitudinal patterns in county age-specific net migration in the United States 1950–2010
Analyse spatiale ; Autocorrélation spatiale ; Cluster ; Comté ; Distribution spatiale ; Dynamique migratoire ; Etats-Unis ; Migration intérieure ; Profil de migration par âge ; Seuil
Cluster ; County ; Internal migration ; Spatial analysis ; Spatial autocorrelation ; Spatial distribution ; Threshold ; United States of America
This study employs a spatial clustering method that exhaustively compares all U.S. counties on their age migration similarity and spatial proximity to investigate signature age-specific net migration profiles across six decades of U.S. county age
-specific net migration data from 1950 to 2010.As counties are merged by increasing large population thresholds, the Getis-Ord Gi spatial auto-correlation statistic is applied to examine how the spatial migration patterns are affected. It is found that U.S
. county age-specific net migration profiles exhibit four signature patterns. Although these patterns are persistent across the past six decades, their spatial distributions have experienced dramatic variation. The small population problem in net migration
rates affects the extent and loca-tion of the significant spatial migration patterns.
Cluster ; Disease ; Health ; Methodology ; Population ; Risk ; Spatial analysis ; Spatial distribution
Emerging infectious diseases (EIDs) are of increasing global concern, and quantitative geography can play an important role in integrating spatial data describing drivers of disease emergence and building models of EID risk. This article lays out
the key issues of EIDs and describes problems and opportunities for integrative quantitative geography to inform on patterns of EIDs. Issues of data quality are highlighted, as are methods of spatial analysis and forms of research communication
On étudie le mécanisme optimal de licence dans un modèle spatial où les concurrents investissent et où une entreprise produit une innovation réduisant les coûts. Quand les entreprises se livrent à des discriminations spatiales, l'innovateur obtient
Analyse spatiale ; Analyse statistique ; Connecticut ; Corrélation ; Distribution spatiale ; Etats-Unis ; Pondération spatiale ; Proximité ; Statistique ; Type de logement ; Vernon ; co-localisation
Connecticut ; Correlation ; Proximity ; Spatial analysis ; Spatial distribution ; Spatial weighting ; Statistical analysis ; Statistics ; United States of America
types of spatial filters : fixed and adaptive. These geographically weighted colocation quotients are applied to the spatial distribution of housing types to demonstrate their utility and interpretation.
Water resources utilization efficiency and spatial spillover effects in China
Analyse spatiale ; Années 1997-2011 ; Autocorrélation spatiale ; Chine ; Eau ; Econométrie ; Gestion de l'eau ; Modèle ; Ressource en eau ; Utilisation de l'eau
China ; Econometry ; Model ; Spatial analysis ; Spatial autocorrelation ; Water ; Water management ; Water resources ; Water use
efficiency in China from 1997 to 2011. The spatial weighting matrix based on economy-spatial distance function is established to discuss spatial autocorrelation of water resources utilization efficiency. With the help of absolute β-convergence model
, this paper concludes that there exists β-convergence in the water resources utilization efficiency. By mean of the spatial Durbin econometric model, this paper studies spatial spillover effects of the provincial water resources utilization efficiency in China
On analyse l'effet des innovations technologiques sur la croissance économique régionale du Mexique dans les années 1995-2007. L'inclusion d'une dimension spatiale dans l'analyse empirique est encore peu pratiquée, ainsi que le modèle d'interaction
spatiale et les effets possibles de la diffusion spatiale. On applique les méthodes de l'analyse de données spatiales. L'innovation technologique a un effet positif sur la croissance économique régionale du Mexique. Il y a un effet positif venant des effets
de diffusion transfrontaliers des connaissances technologiques. Les Etats dans lesquels les activités innovantes sont plus influentes ont profité d'externalités technologiques spatiales et d'une croissance économique plus rapide.
European world cities and the spatial polarisation of air transport liberalisation benefits
Analyse spatiale ; Aéroport ; Compagnie aérienne ; Concurrence ; Distribution spatiale ; Europe ; Libéralisation ; Polarisation ; Transport ; Transport aérien ; Union européenne ; Ville mondiale
Air transport ; Airline company ; Airport ; Competition ; Europe ; European Union ; Liberalisation ; Polarization ; Spatial analysis ; Spatial distribution ; Transport ; World city
Research about the consequences of air transport liberalisation in the European Union is already substantial in amount and scope. Nevertheless, spatial implications of this liberalisation have not been fully addressed yet. By analysing information
spatial shifts observed is the growing concentration of high-income groups in energy-rich Western Canada, where Calgary has become the most unequal city in the country.
Entropy ; Estimation ; Household ; Methodology ; Model ; Modelling ; Population ; Spatial analysis ; Spatial distribution ; Tennessee ; Uncertainty ; United States of America
This article presents a new dasymetric methodology—the penalized maximum entropy dasymetric model that enables sources of uncertainty to be represented and modeled. It allows a rich array of data to be included, with disparate spatial resolutions
, attribute resolutions, and uncertainties. It also allows a rich array of data to be included, with disparate spatial resolutions, attribute resolutions, and uncertainties. It concludes by presenting an application that that includes household-level survey
data combined with higher spatial resolution data such as from census tracts, block groups, and land cover classifications in Davidson County, Tennessee.
This paper analyzes the conditional β -convergence hypothesis for NUTS 3 Italian provinces Spatial dependence is introduced in the economic model by assuming a spatial Durbin model specification. The absence of data experienced by some economic
variables at the NUTS 3 level is addressed through a modified version of the Bayesian interpolation method introduced by Palma and Benedetti. Spatial heterogeneity is taken into account by identifying convergence clubs. For this purpose, we use the modified
Cluster ; Criminality ; Geographical information system ; Ohio ; Social geography ; Spatial analysis ; United States of America
The purpose of this article is to provide an overview and evaluation of spatial clustering techniques, identifying the strengths and weaknesses of the most widely applied approaches. Results suggest that performance varies significantly in terms
2014
[b1] Center for Spatial Analytics and Geocomputation, College of Computing and Informatics, Drexel Univ., Philadelphia, Etats-Unis