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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/4527H3S
Repositóriosid.inpe.br/mtc-m21d/2021/07.02.13.25   (acesso restrito)
Última Atualização2021:07.02.13.25.17 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2021/07.02.13.25.17
Última Atualização dos Metadados2022:04.03.22.27.26 (UTC) administrator
DOI10.1007/s10940-020-09474-6
ISSN0748-4518
Chave de CitaçãoRamosSilvClarPrat:2021:ToFiBe
TítuloToo Fine to be Good? Issues of Granularity, Uniformity and Error in Spatial Crime Analysis
Ano2021
MêsJune
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1659 KiB
2. Contextualização
Autor1 Ramos, Rafael Blakeley Guimarães
2 Silva, Bráulio F. A.
3 Clarke, Keith C.
4 Prates, Marcos
ORCID1 0000-0001-9307-5922
Grupo1 DIIAV-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Federal de Minas Gerais (UFMG)
3 University of California Santa Barbara
4 Universidade Federal de Minas Gerais (UFMG)
Endereço de e-Mail do Autor1 rafaelgramos@gmail.com
RevistaJournal of Quantitative Criminology
Volume37
Número2
Páginas419-443
Histórico (UTC)2021-07-02 13:26:06 :: simone -> administrator :: 2021
2022-04-03 22:27:26 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveCrime Mapping
Criminology of Place
Error
Granularity
Scale
ResumoObjectives: Crime counts are sensitive to granularity choice. There is an increasing interest in analyzing crime at very fine granularities, such as street segments, with one of the reasons being that coarse granularities mask hot spots of crime. However, if granularities are too fine, counts may become unstable and unrepresentative. In this paper, we develop a method for determining a granularity that provides a compromise between these two criteria. Methods: Our method starts by estimating internal uniformity and robustness to error for different granularities, then deciding on the granularity offering the best balance between the two. Internal uniformity is measured as the proportion of areal units that pass a test of complete spatial randomness for their internal crime distribution. Robustness to error is measured based on the average of the estimated coefficient of variation for each crime count. Results: Our method was tested for burglaries, robberies and homicides in the city of Belo Horizonte, Brazil. Estimated optimal granularities were coarser than street segments but finer than neighborhoods. The proportion of units concentrating 50% of all crime was between 11% and 23%. Conclusions: By balancing internal uniformity and robustness to error, our method is capable of producing more reliable crime maps. Our methodology shows that finer is not necessarily better in the micro-analysis of crime, and that units coarser than street segments might be better for this type of study. Finally, the observed crime clustering in our study was less intense than the expected from the law of crime concentration.
ÁreaCST
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvoramos_too.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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