Modeling residential segregation with local indicators of spatial autocorrelation. A methodological tool for the study of urban spatial inequalities
Approaching an issue as complex and multidimensional as residential segregation necessitates a wide range of methodological tools in order to empirically capture different aspects of the phenomenon. This article attempts to make a contribution in that regard by proposing a reliable and replicable me...
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| Formato: | Artículo publishedVersion Artículo evaluado por pares |
| Lenguaje: | Español |
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Instituto de Investigaciones Gino Germani de la Facultad de Ciencias Sociales de la UBA
2023
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| Acceso en línea: | https://publicaciones.sociales.uba.ar/index.php/quid16/article/view/7047 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=quid16&d=7047_oai |
| Aporte de: |
| Sumario: | Approaching an issue as complex and multidimensional as residential segregation necessitates a wide range of methodological tools in order to empirically capture different aspects of the phenomenon. This article attempts to make a contribution in that regard by proposing a reliable and replicable methodological strategy for modeling patterns of residential segregation which explicitly contemplates its spatial dimension. The article begins with a review of the literature on residential segregation in Argentina, which is followed by a brief theoretical and conceptual discussion. Second, a critique of traditional methods of measuring residential segregation is offered, and a strategy to overcome some of their limitations is detailed, based on exploratory spatial data analysis (ESDA) techniques facilitated by geographical information systems (GIS) and key advancements in geostatistics. Lastly, a methodological exercise is carried out in order to demonstrate the use of the proposed analytical tool, and the article concludes with a discussion of some advantages and limitations of the approach, as well as some possible applications to different research questions in urban studies. |
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