Spatial analysis of homicidies on Northeast in 2010 and 2019
DOI:
https://doi.org/10.54766/rberu.v15i4.921Keywords:
Northeastern Brazil, Exploratory spatial data analysis, HomicidesAbstract
We first looked for spatial correlation of lethal violence in Brazil’s Northeastern municipalities in 2010 and 2019 by conducting an exploratory spatial data analysis (ESDA), which showed clusters of homicides in both years, specifically 106 high-high clusters in 2010 and 84 in 2019, and 18 low-low clusters in 2019. Clusters of high homicide rates were more common in the states of Bahia (27 and 16 in 2010 and 2019, respectively), Piaui (21 and 29) and Paraiba (20 and 10); Paraiba had also the greatest number of low homicide clusters in 2019 (7). We then tested spatial econometrics models such as SAR (Spatial autoregressive), SAC (Spatial Autocorrelation) and SEM (Spatial Errors Model), including sociodemographic variables relevant in determining violence indexes. Those estimations showed there is a positive relation between wealth inequality, population density, urbanization, employment and homicide rates, whereas earnings and the proportion of young men are negatively associated.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 ABER
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The submission of papers to the Journal implies the assignment of the copyright to the Brazilian Regional Science Association.
The content published by the 'Revista Brasileira de Estudos Regionais e Urbanos' (Brazilian Review of Regional and Urban Studies) is licensed under a Creative Commons Atribuição 4.0 Internacional license.