Modélisation spatiale de la pauvretéà Montréal: apport méthodologique de la régression géographiquement pondérée |
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| Authors: | PHILIPPE APPARICIO ANNE-MARIE SÉGUIN† XAVIER LELOUP‡ |
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| Institution: | Institut national de la recherche scientifique - Urbanisation, Culture et Société, Montréal, Québec, H2X 1E3 (courriel: ); Institut national de la recherche scientifique - Urbanisation, Culture et Société, Montréal, Québec, H2X 1E3 (courriel: ); Institut national de la recherche scientifique - Urbanisation, Culture et Société, Montréal, Québec, H2X 1E3 (courriel: ) |
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| Abstract: | Spatial Modeling of Poverty in Montréal: Methodological Contribution of the Geographically Weighted Regression
The Island of Montréal is particularly concerned with the issue of poverty. In 2000, 29 percent of its inhabitants lived under the low income cut-offs as defined by Statistics Canada. However, poverty is not a homogeneous phenomenon at the intra-urban scale, and identifying and categorizing spaces of poverty has become a main concern for ongoing researches. According to this way of thinking, this paper proposes an analysis of the factors influencing the geographical distribution of poverty on the Island of Montréal. To be able to identify properly the various profiles of poverty, this analysis uses a specific methodology, the geographically weighted regression (GWR), and compares its results with the ones of a classical regression model. At the global level, the most important factors to explain poverty are in order: unemployment, lone-parent families, one person households, recent immigrants, part time or part year workers, school dropouts. At the local level, |
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