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The spatial structure of socioeconomic disadvantage: a Bayesian multivariate spatial factor analysis / Matthew Quick in International journal of geographical information science IJGIS, vol 35 n° 1 (January 2021)
[article]
Titre : The spatial structure of socioeconomic disadvantage: a Bayesian multivariate spatial factor analysis Type de document : Article/Communication Auteurs : Matthew Quick, Auteur ; Hui Luan, Auteur Année de publication : 2021 Article en page(s) : pp 63 - 83 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse multivariée
[Termes IGN] analyse socio-économique
[Termes IGN] classification bayesienne
[Termes IGN] pauvreté
[Termes IGN] quartier
[Termes IGN] revenu
[Termes IGN] structure spatiale
[Termes IGN] TorontoRésumé : (auteur) Neighborhood socioeconomic disadvantage is a measure of socio-spatial inequality that has been shown to be associated with a variety of social, economic, and health outcomes. Existing studies that explore the local patterning of disadvantage often construct composite indices that summarize the interactions between multiple dimensions of social status, but do not consider if, and how, disadvantage exhibits spatial structure. This study applies a Bayesian multivariate factor analytic modeling approach to examine the spatial structure of socioeconomic disadvantage in Toronto, Canada. Socioeconomic disadvantage is modeled as an area-based composite index associated with three variables measuring low income, low-educational attainment, and low occupational status, and a series of models with different assumptions regarding the spatial structure of disadvantage are compared. The best-fitting model shows that the prevalence of low-income households has the strongest positive association with disadvantage and that spatial clustering is three times more important than spatial heterogeneity for explaining the spatial structure of disadvantage. The implications of this study for analyzing multivariate spatial data and for understanding the interactions amongst multiple dimensions of disadvantage are discussed. Numéro de notice : A2021-020 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1759807 Date de publication en ligne : 07/05/2020 En ligne : https://doi.org/10.1080/13658816.2020.1759807 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96519
in International journal of geographical information science IJGIS > vol 35 n° 1 (January 2021) . - pp 63 - 83[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2021011 SL Revue Centre de documentation Revues en salle Disponible
Titre : Applications of spatial statistics Type de document : Monographie Auteurs : Ming Hung, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2016 Importance : 154 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-953-51-2757-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] automate cellulaire
[Termes IGN] croissance urbaine
[Termes IGN] données localisées
[Termes IGN] géostatistique
[Termes IGN] interpolation spatiale
[Termes IGN] planification urbaine
[Termes IGN] qualité de vie
[Termes IGN] revenu
[Termes IGN] statistiques
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] transport
[Termes IGN] variogrammeRésumé : (éditeur) Spatial statistics has been widely used in many environmental studies. This book is a collection of recent studies on applying spatial statistics in subjects such as demography, transportation, precision agriculture and ecology. Different subjects require different aspects of spatial statistics. In addition to quantitative statements from statistics and tests, visualization in forms of maps, drawings, and images are provided to illustrate the relationship between data and locations. This book will be valuable to researchers who are interested in applying statistics to spatial data, as well as graduate students who know statistics and want to explore how it can be applied to spatial data. With the processing part being simplified to several mouse clicks by commercial software, one should pay more attention to justification of using spatial statistics, as well as interpretation and assessment of the results. GIScience proves to be a useful tool in visualization of spatial data, and such useful technology should be utilized, as part, for the interpretation and assessment of the results. Note de contenu : 1- Application of spatial statistics in transportation engineering
2- Comparison of spatial interpolation techniques using visualization and quantitative assessment
3- Wage concentration in Spain: A spatial analysis
4- Spatial optimization of urban cellular automata model
5- Structural diversity of plant populations: Insight from spatial analyses
6- Practical value of user‐centred spatial statistics for responsive urban planningNuméro de notice : 25935 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/MATHEMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/61666 En ligne : https://doi.org/10.5772/61666 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96262 Visualization of the spatial patterns of inter-urban income disparities using coordinate transformations / R. Gluhih in International journal of geographical information science IJGIS, vol 18 n° 3 (april - may 2004)
[article]
Titre : Visualization of the spatial patterns of inter-urban income disparities using coordinate transformations Type de document : Article/Communication Auteurs : R. Gluhih, Auteur ; B.A. Portnov, Auteur Année de publication : 2004 Article en page(s) : pp 281 - 297 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] carte thématique
[Termes IGN] disparité
[Termes IGN] Israël
[Termes IGN] milieu urbain
[Termes IGN] revenu
[Termes IGN] transformation de coordonnées
[Termes IGN] urbanisation
[Termes IGN] ville
[Termes IGN] visualisationRésumé : (Auteur) Inter-urban income disparities reflect differences between individual urban localities in the average incomes of their residents. The present paper discusses different ways of visualizing such disparities on thematic maps. The approach we propose is based on the transformation of distances between individual localities and a reference city (e.g. a major population centre of a country) in proportion to the actual differences in the income levels. The general principle of such a transformation is to bring closer to the reference city places with higher incomes, while moving away localities with low income levels. Three alternative approaches to the implementation of this transformation technique are discussed. According to the 'actual distance' method, the spatial 'shift' of a locality on the map is set proportional to both the relative difference in incomes and the aerial distance between a locality and the reference city. In the 'proportional increment' transformation, the distance between a locality and the reference city is adjusted by a parameter whose values are proportional to income disparities between the two. Lastly, according to the 'concentric circle' transformation, localities with identical levels of incomes are positioned at a certain distance from the reference city, forming concentric circles around it. Both advantages and disadvantages of these transformation techniques are discussed, and the 'proportional increment' method is chosen as the best-performing visualization technique. The performance of this technique is demonstrated using income data for urban localities in Israel in 1991 and 1999. As analysis indicates, the proposed method helps to illustrate both the existing patterns of inter-urban income disparities and their dynamics over time. Numéro de notice : A2004-161 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810310001620951 En ligne : https://doi.org/10.1080/13658810310001620951 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26688
in International journal of geographical information science IJGIS > vol 18 n° 3 (april - may 2004) . - pp 281 - 297[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-04031 RAB Revue Centre de documentation En réserve L003 Disponible 079-04032 RAB Revue Centre de documentation En réserve L003 Disponible