Centre de documentation
scientifique

Using space-time visual analytic methods for exploring the dynamics of ethnic groups' residential patterns / I. Omer in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1481 - 1496 Titre : Using space-time visual analytic methods for exploring the dynamics of ethnic groups' residential patterns Type de document : Article/Communication Auteurs : I. Omer, Auteur ; P. Bak, Auteur ; T. Schreck, Auteur Année de publication : 2010 Article en page(s) : pp 1481 - 1496 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse diachronique [Termes IGN] analyse visuelle [Termes IGN] données socio-économiques [Termes IGN] Israël [Termes IGN] recensement démographique [Termes IGN] répartition géographique [Termes IGN] utilisation du sol Résumé : (Auteur) In this article, we present a methodological framework, based on georeferenced house-level socio-demographic and infrastructure data, for investigating minority (or ethnic) group residential pattern dynamics in cities. This methodology, which uses visual analytical tools, is meant to help researchers examine how local land-use configurations shape minorities' residential dynamics and, thereby, affect the level of minority-majority segregation. This methodology responds to the need to refer to the relationship between local land-use configurations and the identity of a building's residents, without simultaneously revealing sensitive house-related details. The research was instantiated on the residential patterns exhibited by the Arab community in Jaffa, Israel. The residential data were collected for over 40 years at four different moments, each associated with the population and housing censuses conducted by Israel's Central Bureau of Statistics and the Ministry of the Interior. Using this methodology enabled us to remain on the level of the individual building when identifying the relationships between spatial land-use configurations and rates of change in ethnic composition and the Arab community's residence pattern dynamics at different geographical scales. It likewise allowed us to identify the qualitative changes in the population's residential preferences during the pattern's development. Numéro de notice : A2010-462 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.513982 En ligne : https://doi.org/10.1080/13658816.2010.513982 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30655 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2010061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2010062	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Density equalizing distortion of large geographic point sets / P. Bak in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)  

Public [article]  inCartography and Geographic Information Science > vol 36 n° 3 (July 2009) . - pp 237 - 250 Titre : Density equalizing distortion of large geographic point sets Type de document : Article/Communication Auteurs : P. Bak, Auteur ; M. Schaefer, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 237 - 250 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse de données [Termes IGN] cartogramme [Termes IGN] cartographie statistique [Termes IGN] densité des points [Termes IGN] traitement de données localisées [Termes IGN] visualisation de données Résumé : (Auteur) Visualizing large geo-demographical datasets using pixel-based techniques involves mapping the geospatial dimensions of a data point to screen coordinates and appropriately encoding its statistical value by color. The analysis of such data presents a great challenge. General tasks involve clustering, categorization, and searching for patterns of interest for sociological or economic research. Available visual encodings and screen space limitations lead to over-plotting and hiding of patterns and clusters in densely populated areas, while sparsely populated areas waste space and draw the attention away from the areas of interest. In this paper, two new approaches (RadialScale and AngularScale) are introduced to create density-equalized maps, while preserving recognizable features and neighborhoods in the visualization. These approaches build the core of a multi-scaling technique based on local features of the data described as local minima and maxima of point density. Scaling is conducted several times around these features, which leads to more homogeneous distortions. Results are illustrated using several real-world datasets. Our evaluation shows that the proposed techniques outperform traditional techniques as regard the homogeneity of the resulting data distributions and therefore build a more appropriate basis for analytic purposes. Copyright CaGISociet Numéro de notice : A2009-268 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788988288 En ligne : https://doi.org/10.1559/152304009788988288 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29898 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-09031	RAB	Revue	Centre de documentation	En réserve L003	Disponible