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  • Computing the Jacobian in Gaussian spatial autoregressive models : an illustrated comparison of available methods
  • Eigenvalue ; Matrix analysis ; Methodology ; Model ; Monte Carlo analysis ; Regression analysis ; Spatial analysis ; Spatial weighting
  • Analyse de régression ; Analyse spatiale ; Calcul matriciel ; Modèle ; Méthode de Monte Carlo ; Méthodologie ; Pondération spatiale ; Valeur propre
  • When estimating spatial regression models by maximum likelihood using spatial weights matrices to represent spatial processes, computing the Jacobian remains a central problem. In principle, and for smaller data sets, the use of the eigenvalues
  • of the spatial weights matrix provides a very rapid resolution. Analytical eigenvalues are available for large regular grids. But for larger problems solving the eigenproblem may not be feasible, and a number of alternatives have been proposed. The article
  • 2013
  • A spatial autoregressive Poisson gravity model
  • Gravity model ; Model ; Monte Carlo analysis ; Origin-destination ; Poisson process ; Regression analysis ; Spatial analysis ; Spatial autocorrelation ; Spatial dependence ; Statistics
  • Analyse de régression ; Analyse spatiale ; Autocorrélation spatiale ; Dépendance spatiale ; Modèle ; Modèle de gravité ; Méthode de Monte Carlo ; Origine-destination ; Processus poissonnien ; Statistique
  • A Poisson gravity model is introduced that incorporates spatial dependence of the explained variable without relying on restrictive distributional assumptions of the underlying data-generating process. The AA. derive a two-stage nonlinear least
  • -squares estimator that is hetero-scedasticity-robust and controls for the problem of over- or underdispersion that often is present in the empirical analysis of discrete data . In the model specification, the resulting parameter estimates can
  • be interpreted as the implied total impact effects defined as the sum of direct and indirect spatial feedback effects. The model is illustrated by analyzing patent citation flows data across European regions.
  • 2013
  • The spatial structures of Europe
  • Centrality ; Core-periphery ; Europe ; Gravity model ; Model ; Regionalization ; Regression analysis ; Spatial structure
  • Analyse de régression ; Centralité ; Centre-périphérie ; Europe ; Modèle ; Modèle de gravité ; Régionalisation ; Structure spatiale
  • The paper deals with the spatial structure of Europe, using spatial moving average, potential model and the bidimensional regression analysis based on gravity model. Many theoretical and practical works aim at describing the spatial structures
  • 2013
  • Capturing damage assessment with a spatial video : an example of a building and street-scale analysis of tornado-related mortality in Joplin, Missouri, 2011
  • Building ; Damage valuation ; Missouri ; Morbidity ; Mortality ; Spatial analysis ; Street ; Tornado ; United States of America ; Urban area
  • Analyse spatiale ; Bâtiment ; Espace urbain ; Etats-Unis ; Evaluation des dégâts ; Joplin ; Missouri ; Morbidité ; Mortalité ; Rue ; Tornade ; Vidéo spatiale
  • This article discusses the use of a spatial video and a new Tornado Injury Scale in Joplin, Missouri. Results reveal fine-scale damage patterns even within the main tornado path, often with variations occurring along the same street segment
  • . The number of elderly fatalities was significantly higher than for other cohorts. This finding is consistent within neighborhoods and not just as a result of single-site losses, as has been found in other disasters. Spatial video footage is also
  • reinvestigated after the analysis for damage trends by building type and physical setting, with a summary of these observations provided in the discussion.
  • 2013
  • A spatial-temporal analysis of low birth weight prevalence in Georgia, USA
  • County ; Epidemiology ; Georgia (USA) ; Health ; Low birth weight ; Spatial analysis ; Spatial differentiation ; Spatial statistics ; United States of America
  • Analyse spatiale ; Comté ; Différenciation spatiale ; Epidémiologie ; Etats-Unis ; Georgia ; Naissance de petit poids ; Santé ; Statistique spatiale
  • Examen de la tendance temporelle de la prévalence d'un faible poids à la naissance sur une période de 11 ans et dans les groupes spatiaux qui la concernent en Géorgie à l'échelle du comté. Il est tenu compte de la structure ethnique et de genre
  • 2013
  • A Bayesian spatial econometric analysis of the 2010 UK General Election
  • Econometric model ; Election ; Electoral behaviour ; Political geography ; Spatial analysis ; United Kingdom
  • Analyse spatiale ; Comportement électoral ; Election ; Géographie politique ; Modèle économétrique ; Royaume-Uni
  • A l'aide des méthodes de l'économétrie spatiale selon Bayes, on montre qu'il existe une dépendance spatiale significative dans le comportement favorable au parti conservateur, et on identifie le modèle spatial de Durbin comme le modèle le plus
  • susceptible d'expliquer ce phénomène. On étudie de tels effets spatiaux, ainsi que les effets d'une série de variables économiques, socio-économiques et politiques. Le fait d'être titulaire du siège exerce un effet spatial indirect positif et significatif au
  • 2013
  • Principal component analysis on spatial data : an overview
  • Atmosphere ; Data ; Flow ; Geographical space ; Principal components analysis ; Spatial analysis ; Spatial autocorrelation ; Spatial data ; Statistics
  • Analyse en composantes principales ; Analyse spatiale ; Atmosphère ; Autocorrélation spatiale ; Donnée ; Données spatiales ; Espace géographique ; Flux ; Statistique
  • Les AA. étudient de quelles manières l’analyse en composantes principales s’applique-t’-elle aux données spatiales. La première approche, non-spatiale, s’intéresse aux objets spatiaux, aux données raster, à la science atmosphérique et aux flux. La
  • seconde, quant à elle, traite des effets de l’espace géographique au travers de l’hétérogénéité spatiale puis de l’autocorrélation spatiale. Ensuite, ils présentent une terminologie de ce concept et les différentes méthodes dites réellement spatiales dans
  • la littérature selon les différents domaines d’application. Ils concluent par les trois variantes de l’analyse en composantes principales (ACP)n’étant pas utilisées dans le contexte spatial mais présentant un potentiel considérable à cet égard ; les
  • 2013
  • Geographical Analysis : its first 40 years
  • Economic geography ; Geographic information ; Geographical periodical ; Journal ; Scientific publication ; Spatial analysis ; Spatial statistics ; Transportation geography ; Urban geography
  • Analyse spatiale ; Géographie des transports ; Géographie urbaine ; Géographie économique ; Information géographique ; Publication scientifique ; Périodique ; Revue géographique ; Statistique spatiale
  • Geographical Analysis undertook a project to complete the digitizing of all back issues of the journal and make those for the period 1969–2001 free to the academic community. The article commemorates the completion of this event late in 2010
  • , drawing upon this new resource to highlight important contributions made through the journal to the geography and spatial sciences community. It highlights prominent articles published in the journal that contributed to the four themes of urban
  • and economic geography, transportation geography, spatial statistics, and geographic information science.
  • 2013
  • Establishing qualitative geographic sample size in the presence of spatial autocorrelation
  • Analysis of variance ; Applied geography ; Quantitative geography ; Sampling ; Spatial analysis ; Spatial autocorrelation ; Spatial distribution
  • Analyse de variance ; Analyse spatiale ; Autocorrélation spatiale ; Distribution spatiale ; Echantillonnage ; Géographie appliquée ; Géographie quantitative ; Taille de l'échantillonnage
  • This article analyses the qualitative sample size determination for many purposeful sampling designs. It demonstrates that spatial autocorrelation can have a noticeable effect on sampling, whether it is quantitative or qualitative in nature
  • . The results show firstly, that many sample sizes reported in the literature to dateappear to be inadequate to ensure that saturation was achieved. Secondly, that determining the level of positive spatial autocorrelation for a selection variable allows
  • aggregate areal units to be targeted that will better suit purposeful sampling designs. And thirdly, that because because snowball sampling tends to be guided by positive spatial autocorrelation, communities should be targeted that display very high levels
  • 2013
  • Using synthetic variables in instrumental variable estimation of spatial series models
  • Simulation ; Spatial analysis ; Spatial autocorrelation ; Spatial data ; Statistics
  • Analyse spatiale ; Autocorrélation spatiale ; Données spatiales ; Eigenvecteur ; Filtre spatial ; Simulation ; Statistique ; Série spatiale ; Variable instrumentale ; Variable synthétique
  • This paper explores the use of synthetic variables in IV estimation when the analysis is of spatial data series. It considers two situations of interest: first, the case where there are no clear candidates for instrumentation and the instruments
  • 2013
  • A note on the average density function in urban analysis
  • Densité de population ; Densité moyenne ; Distance au CBD ; Espace urbain ; Structure spatiale
  • Distance from city centre ; Population density ; Spatial structure ; Urban area
  • density function, each being concerned with a particular aspect of the spatial structure of population. The first type is consistent with the standard approach to the ‘average’in economic analysis, while the second more completely takes account
  • of the urban context. The two types of average density function are examined for different underlying forms of the marginal density function. Of the two types, the second has a greater applicability than the first in the analysis of urban spatial structure.
  • It is argued that the density function, commonly used in the study of urban spatial structure, is more appropriately described as the ‘marginal density function’. From such a marginal density function, it is possible to derive two types of average
  • 2013
  • Concept ; Cultural geography ; Cultural studies ; Landscape ; Spatial analysis ; Tourism
  • Analyse spatiale ; Concept ; Culturel ; Géographie culturelle ; Paysage ; Tourisme
  • of landscape for spatial theory and spatial analysis. In the final part of the paper a particular attention is given to the relationship between the cultural landscape and tourism and travel, envisioned as key expressions of the spatialities of the Moder
  • 2013
  • Clustering of maxima : spatial dependencies among heavy rainfall in France
  • Autumn ; Classification ; Climate extreme ; Cluster analysis ; France ; Precipitation ; Spatial analysis ; Taxonomy
  • Analyse des groupes ; Analyse spatiale ; Années 1993-2011 ; Automne ; Classification ; Extrême climatique ; France ; Précipitation ; Taxonomie
  • Présentation, test et discussion d'un nouvel algorithme de partitionnement des extrêmes climatiques visant à les diviser en « paquets » homogènes, de façon à identifier des regroupements spatiaux. Exemple des fortes précipitations automnales de 92
  • 2013
  • Geospatial and temporal analysis of drought years in Zimbabwe, 1940-1999
  • Agroclimatology ; Climatic change ; Drought ; Food security ; Livelihood ; Space time ; Spatial analysis ; Time series ; Zimbabwe
  • Agroclimatologie ; Analyse spatiale ; Années 1940-1999 ; Changement climatique ; Espace-temps ; Moyens d'existence ; Sécheresse ; Sécurité alimentaire ; Série chronologique ; Zimbabwe
  • The aim of this study was to determine the geospatial and temporal characteristics of the drought years in Zimbabwe for the period between 1940 and 1999. Using time series analysis, spatial analysis and the Kruskal-Wallistest, the study established
  • 2013
  • Making location quotients more relevant as a policy aid in regional spatial analysis
  • Analysis of variance ; Industrial employment ; Industry ; Spatial analysis ; United Kingdom ; Wales
  • Analyse de variance ; Analyse spatiale ; Emploi industriel ; Industrie ; Industrie manufacturière ; Quotient de localisation ; Royaume-Uni ; Valeur limite ; Wales
  • 2013
  • Quantitative geomorphological analysis of drumlins in the Peterborough drumlin field, Ontario, Canada
  • Canada ; Drumlin ; Geomorphometry ; Glacial features ; Ontario ; Quantitative analysis ; Spatial analysis ; Spatial distribution
  • Analyse quantitative ; Analyse spatiale ; Canada ; Distribution spatiale ; Drumlin ; Glaciaire ; Géomorphométrie ; Ontario
  • and non-spatial analysis of the form and distribution of drumlins across the study area identifies drumlin characteristics such as size, elongation ratio, symmetry and long axis orientation and shows that drumlins are not randomly distributed across
  • This paper explores a computational method that allows identification of drumlins and extraction of their morphological characteristics from existing topographic digital data for a portion of the Peterborough drumlin field in Ontario. Spatial
  • the region and their form characteristics have distinct regional trends. Kernel density analysis is used to identify the regional trends in drumlin characteristics. Factors that appear to influence the form and distribution of drumlins in the study area
  • 2013
  • Location–allocation models applied to urban public services. Spatial analysis of Primary Health Care Centersin the city of Luján, Argentina
  • Argentina ; Data processing ; Digital technology ; Geographical information system ; Location-allocation model ; Medical services ; Primary health care ; Spatial analysis ; Spatial data ; Technology ; Tertiary sector
  • Analyse spatiale ; Argentine ; Données spatiales ; Luján ; Modèle de localisation-allocation ; Secteur tertiaire ; Services de santé ; Soins de santé primaires ; Système d'information géographique ; Technologie ; Technologie numérique ; Traitement
  • as methodological standardized questions for their solution through the use of GIS+SDSS. An applied case study related to the spatial analysis of Primary Health Care Centers (PHCC) in the city of Lujan, Argentina is also presented. - (AM)
  • The actual digital technologies and particularly the association between the Geographical Information Systems (GIS) and the assistance to the Spatial Decision Support System (SDSS) have generated important possibilities for the treatment of spatial
  • 2013
  • The geographical spread of the 1947 poliomyelitis epidemic in England and Wales : spatial wave propagation of an enigmatic epidemiological event
  • Diffusion ; England and Wales ; Epidemiology ; Health ; Historical geography ; Spatial analysis ; Time series ; United Kingdom
  • Analyse spatiale ; Date 1947 ; Diffusion ; England and Wales ; Epidémiologie ; Géographie historique ; Poliomyélite ; Royaume-Uni ; Santé ; Série chronologique
  • Drawing on a robust method of spatial epidemiological analysis, the AA. demonstrate that the epidemic wave was associated with a pronounced acceleration in the rate of spatial propagation as compared to the preceding years. The velocity of spatial
  • 2013
  • Evaluation of a spatial relationship by the concept of intrinsic spatial distance
  • Concept ; Distance ; Distribution of points ; Measurement ; Methodology ; Spatial analysis
  • Analyse spatiale ; Concept ; Distance ; Distance spatiale intrinsèque ; Distribution de points ; Mesure ; Méthodologie
  • On propose la notion de distance spatiale intrinsèque pour étudier la relation spatiale entre deux points dans l'espace. La DSI tient compte de la séparation des deux points compte tenu de leur proximité physique. Construction d'un algorithme. Les
  • deux points sont reliés à travers un chemin de passage. A mesure que la DSI diminue, la relation spatiale entre ces deux points est renforcée. Dans le cas des d'attributs individuels, les informations divulguées par une mesure de DSI sont plus
  • 2013
  • Fostering the development of European regions : a spatial dynamic panel data analysis of the impact of cohesion policy
  • Convergence ; Economic development ; Europe ; European Union ; Grant ; Gross domestic product ; Growth model ; Regional development ; Spatial analysis ; Spatial autocorrelation ; Spatial dynamics
  • Analyse spatiale ; Autocorrélation spatiale ; Convergence ; Dynamique spatiale ; Développement régional ; Développement économique ; Europe ; Modèle de croissance ; Produit intérieur brut ; Subvention ; Union européenne
  • This paper uses a conditional–convergence econometric model to investigate whether cohesion policy affects European economies. Its main contribution is to consider both spatial and temporal dynamics in assessing the impact of European cohesion
  • policy. The results suggest that Objective 1 programmes have a direct effect on regional gross domestic product per capita growth rates, whereas total Structural Funds do not. Moreover, consideration of the spatial dimension of the panel brings to light
  • 2013