The spatial heterogeneity of factors of feminicide: The case of Antioquia-Colombia

Fabio Humberto Sepúlveda Murillo, Jorge Chica - Olmo, Ainhoa Rodríguez García de Cortázar

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

Resumen

© 2018 Elsevier Ltd In Latin America, homicide is a leading cause of death among women. The aim of this paper is to examine the spatial heterogeneity of factors influencing feminicide in Antioquia, Colombia. This article adds the impact of drug trafficking location on feminicide to the existing research. Classic models assume that the parameters of these factors are spatially distributed in a constant manner. However, this assumption has been frequently challenged due to the systematic differences of feminicide occurring within different geographical units, giving rise to the presence of spatial heterogeneity. In this article, geographically weighted Poisson regression (GWPR) is used to explore the spatial heterogeneity in these data relationships. Feminicide in the Department of Antioquia, Colombia, is studied using a range of classic explanatory factors. The results show that, in addition to the classic factors, coca-producing areas in Antioquia are directly related to number of feminicides. The findings also show that relationships in feminicide data are better presented by GWPR than by the classic model.
Idioma originalInglés estadounidense
Páginas (desde-hasta)63-73
Número de páginas11
PublicaciónApplied Geography
DOI
EstadoPublicada - 1 mar 2018

Huella dactilar

Colombia
Latin America
regression
trafficking
cause of death
death
drugs
homicide
drug
Factors
Spatial heterogeneity
Poisson regression

Citar esto

Sepúlveda Murillo, Fabio Humberto ; Chica - Olmo, Jorge ; de Cortázar, Ainhoa Rodríguez García. / The spatial heterogeneity of factors of feminicide: The case of Antioquia-Colombia. En: Applied Geography. 2018 ; pp. 63-73.
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abstract = "{\circledC} 2018 Elsevier Ltd In Latin America, homicide is a leading cause of death among women. The aim of this paper is to examine the spatial heterogeneity of factors influencing feminicide in Antioquia, Colombia. This article adds the impact of drug trafficking location on feminicide to the existing research. Classic models assume that the parameters of these factors are spatially distributed in a constant manner. However, this assumption has been frequently challenged due to the systematic differences of feminicide occurring within different geographical units, giving rise to the presence of spatial heterogeneity. In this article, geographically weighted Poisson regression (GWPR) is used to explore the spatial heterogeneity in these data relationships. Feminicide in the Department of Antioquia, Colombia, is studied using a range of classic explanatory factors. The results show that, in addition to the classic factors, coca-producing areas in Antioquia are directly related to number of feminicides. The findings also show that relationships in feminicide data are better presented by GWPR than by the classic model.",
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The spatial heterogeneity of factors of feminicide: The case of Antioquia-Colombia. / Sepúlveda Murillo, Fabio Humberto; Chica - Olmo, Jorge; de Cortázar, Ainhoa Rodríguez García.

En: Applied Geography, 01.03.2018, p. 63-73.

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

TY - JOUR

T1 - The spatial heterogeneity of factors of feminicide: The case of Antioquia-Colombia

AU - Sepúlveda Murillo, Fabio Humberto

AU - Chica - Olmo, Jorge

AU - de Cortázar, Ainhoa Rodríguez García

PY - 2018/3/1

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N2 - © 2018 Elsevier Ltd In Latin America, homicide is a leading cause of death among women. The aim of this paper is to examine the spatial heterogeneity of factors influencing feminicide in Antioquia, Colombia. This article adds the impact of drug trafficking location on feminicide to the existing research. Classic models assume that the parameters of these factors are spatially distributed in a constant manner. However, this assumption has been frequently challenged due to the systematic differences of feminicide occurring within different geographical units, giving rise to the presence of spatial heterogeneity. In this article, geographically weighted Poisson regression (GWPR) is used to explore the spatial heterogeneity in these data relationships. Feminicide in the Department of Antioquia, Colombia, is studied using a range of classic explanatory factors. The results show that, in addition to the classic factors, coca-producing areas in Antioquia are directly related to number of feminicides. The findings also show that relationships in feminicide data are better presented by GWPR than by the classic model.

AB - © 2018 Elsevier Ltd In Latin America, homicide is a leading cause of death among women. The aim of this paper is to examine the spatial heterogeneity of factors influencing feminicide in Antioquia, Colombia. This article adds the impact of drug trafficking location on feminicide to the existing research. Classic models assume that the parameters of these factors are spatially distributed in a constant manner. However, this assumption has been frequently challenged due to the systematic differences of feminicide occurring within different geographical units, giving rise to the presence of spatial heterogeneity. In this article, geographically weighted Poisson regression (GWPR) is used to explore the spatial heterogeneity in these data relationships. Feminicide in the Department of Antioquia, Colombia, is studied using a range of classic explanatory factors. The results show that, in addition to the classic factors, coca-producing areas in Antioquia are directly related to number of feminicides. The findings also show that relationships in feminicide data are better presented by GWPR than by the classic model.

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