Analysis of the spatial of homicides on the State of Paraná

Detalhes bibliográficos
Autor(a) principal: Kleinschmitt, Sandra Cristiana
Data de Publicação: 2012
Outros Autores: Wadi, Yonissa Marmitt, Staduto, Jefferson Andrônio
Tipo de documento: Artigo
Idioma: por
Título da fonte: Redes (Santa Cruz do Sul. Online)
Texto Completo: https://online.unisc.br/seer/index.php/redes/article/view/1203
Resumo: The central objective of this research is to analyze the spatial distribution of homicides in the state of Paraná and the relationship between this phenomenon and socioeconomic, demographic and urban infrastructure variables as well. The method of Exploratory Spatial Data Analysis (ESDA) was used to measure the degree of spatial autocorrelation among the studied variables, based on the characteristics of the 399 municipalities in the State. The results demonstrated the existence of spatial autocorrelation of homicide rates in the municipalities of Paraná State. When considering the mapping of clusters, there was the indicative of four clusters of High High type (HH) and four large clusters of low-low type (LL).
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spelling Analysis of the spatial of homicides on the State of ParanáAnálise espacial dos homicídios no Estado do ParanáHomicides. Clusters. ESDA. Paraná. Socioeconomic/demographic/urban infrastructure indicators.Homicídios. AEDE. Paraná. Indicadores socioeconômico/demográfico/infraestrutura urbana.The central objective of this research is to analyze the spatial distribution of homicides in the state of Paraná and the relationship between this phenomenon and socioeconomic, demographic and urban infrastructure variables as well. The method of Exploratory Spatial Data Analysis (ESDA) was used to measure the degree of spatial autocorrelation among the studied variables, based on the characteristics of the 399 municipalities in the State. The results demonstrated the existence of spatial autocorrelation of homicide rates in the municipalities of Paraná State. When considering the mapping of clusters, there was the indicative of four clusters of High High type (HH) and four large clusters of low-low type (LL).O objetivo deste artigo é analisar a distribuição espacial dos homicídios no Estado do Paraná e a sua relação com as variáveis socioeconômicas, demográficas e de infraestrutura urbana. O método de Análise Exploratória de Dados Espaciais (AEDE) foi utilizado para medir o grau de autocorrelação espacial entre as variáveis estudadas, a partir das características dos 399 municípios existentes no Estado. Os resultados demonstraram a existência da autocorrelação espacial das taxas de homicídio entre os municípios paranaenses. Ao considerar os mapas de clusters, verificou-se a presença de quatro grandes clusters do tipo Alto-Alto (AA) e quatro grandes clusters do tipo Baixo-Baixo (BB).Edunisc - Universidade de Santa Cruz do Sul2012-12-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://online.unisc.br/seer/index.php/redes/article/view/120310.17058/redes.v17i3.1203Redes ; Vol. 17 No. 3 (2012); 257-290Redes; Vol. 17 Núm. 3 (2012); 257-290Redes; Vol. 17 No. 3 (2012); 257-290Redes; v. 17 n. 3 (2012); 257-2901982-6745reponame:Redes (Santa Cruz do Sul. Online)instname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCporhttps://online.unisc.br/seer/index.php/redes/article/view/1203/2303Kleinschmitt, Sandra CristianaWadi, Yonissa MarmittStaduto, Jefferson Andrônioinfo:eu-repo/semantics/openAccess2019-10-03T17:47:32Zoai:ojs.online.unisc.br:article/1203Revistahttp://online.unisc.br/seer/index.php/redeshttp://online.unisc.br/seer/index.php/redes/oairedes_unisc_maff@terra.com.br||etges@unisc.br1982-67451414-7106opendoar:2019-10-03T17:47:32Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)false
dc.title.none.fl_str_mv Analysis of the spatial of homicides on the State of Paraná
Análise espacial dos homicídios no Estado do Paraná
title Analysis of the spatial of homicides on the State of Paraná
spellingShingle Analysis of the spatial of homicides on the State of Paraná
Kleinschmitt, Sandra Cristiana
Homicides. Clusters. ESDA. Paraná. Socioeconomic/demographic/urban infrastructure indicators.
Homicídios. AEDE. Paraná. Indicadores socioeconômico/demográfico/infraestrutura urbana.
title_short Analysis of the spatial of homicides on the State of Paraná
title_full Analysis of the spatial of homicides on the State of Paraná
title_fullStr Analysis of the spatial of homicides on the State of Paraná
title_full_unstemmed Analysis of the spatial of homicides on the State of Paraná
title_sort Analysis of the spatial of homicides on the State of Paraná
author Kleinschmitt, Sandra Cristiana
author_facet Kleinschmitt, Sandra Cristiana
Wadi, Yonissa Marmitt
Staduto, Jefferson Andrônio
author_role author
author2 Wadi, Yonissa Marmitt
Staduto, Jefferson Andrônio
author2_role author
author
dc.contributor.author.fl_str_mv Kleinschmitt, Sandra Cristiana
Wadi, Yonissa Marmitt
Staduto, Jefferson Andrônio
dc.subject.por.fl_str_mv Homicides. Clusters. ESDA. Paraná. Socioeconomic/demographic/urban infrastructure indicators.
Homicídios. AEDE. Paraná. Indicadores socioeconômico/demográfico/infraestrutura urbana.
topic Homicides. Clusters. ESDA. Paraná. Socioeconomic/demographic/urban infrastructure indicators.
Homicídios. AEDE. Paraná. Indicadores socioeconômico/demográfico/infraestrutura urbana.
description The central objective of this research is to analyze the spatial distribution of homicides in the state of Paraná and the relationship between this phenomenon and socioeconomic, demographic and urban infrastructure variables as well. The method of Exploratory Spatial Data Analysis (ESDA) was used to measure the degree of spatial autocorrelation among the studied variables, based on the characteristics of the 399 municipalities in the State. The results demonstrated the existence of spatial autocorrelation of homicide rates in the municipalities of Paraná State. When considering the mapping of clusters, there was the indicative of four clusters of High High type (HH) and four large clusters of low-low type (LL).
publishDate 2012
dc.date.none.fl_str_mv 2012-12-04
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/1203
10.17058/redes.v17i3.1203
url https://online.unisc.br/seer/index.php/redes/article/view/1203
identifier_str_mv 10.17058/redes.v17i3.1203
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/1203/2303
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
dc.source.none.fl_str_mv Redes ; Vol. 17 No. 3 (2012); 257-290
Redes; Vol. 17 Núm. 3 (2012); 257-290
Redes; Vol. 17 No. 3 (2012); 257-290
Redes; v. 17 n. 3 (2012); 257-290
1982-6745
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instname:Universidade de Santa Cruz do Sul (UNISC)
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reponame_str Redes (Santa Cruz do Sul. Online)
collection Redes (Santa Cruz do Sul. Online)
repository.name.fl_str_mv Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)
repository.mail.fl_str_mv redes_unisc_maff@terra.com.br||etges@unisc.br
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