Spatial analysis of crime evolution in Portugal between 1995 and 2013
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/14546 |
Resumo: | The main objective of this survey was to perform descriptive analysis of crime evolution in Portugal between 1995 and 2013. The main focus of this survey was to analyse spatial crime evolution patterns in Portuguese NUTS III regions. Most important crime types have been included into analysis. The main idea was to uncover relation between local patterns and global crime evolution; to define regions which have contributed to global crime evolution of some specific crime types and to define how they have contributed. There were many statistical reports and scientific papers which have analysed some particular crime types, but one global spatial-temporal analysis has not been found. Principal Component Analysis and multidimensional descriptive data analysis technique STATIS have been the base of the analysis. The results of this survey has shown that strong spatial and temporal crime patterns exist. It was possible to describe global crime evolution patterns and to define crime evolution patterns in NUTS III regions. It was possible to define three to four groups of crimes where each group shows similar spatial crime dynamics. |
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Spatial analysis of crime evolution in Portugal between 1995 and 2013Crime evolutionSpatial data analysisMultidimensional data analysisSTATISPrincipal component analysisThe main objective of this survey was to perform descriptive analysis of crime evolution in Portugal between 1995 and 2013. The main focus of this survey was to analyse spatial crime evolution patterns in Portuguese NUTS III regions. Most important crime types have been included into analysis. The main idea was to uncover relation between local patterns and global crime evolution; to define regions which have contributed to global crime evolution of some specific crime types and to define how they have contributed. There were many statistical reports and scientific papers which have analysed some particular crime types, but one global spatial-temporal analysis has not been found. Principal Component Analysis and multidimensional descriptive data analysis technique STATIS have been the base of the analysis. The results of this survey has shown that strong spatial and temporal crime patterns exist. It was possible to describe global crime evolution patterns and to define crime evolution patterns in NUTS III regions. It was possible to define three to four groups of crimes where each group shows similar spatial crime dynamics.Gomes, Paulo Jorge Mota de PinhoCosta, Ana Cristina Marinho daMateu Mahiques, JorgeRUNRajcic, Stjepan Tomislav2015-03-25T15:18:24Z2015-02-272015-02-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/14546TID:201404338enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T03:49:45Zoai:run.unl.pt:10362/14546Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:21:54.124609Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Spatial analysis of crime evolution in Portugal between 1995 and 2013 |
title |
Spatial analysis of crime evolution in Portugal between 1995 and 2013 |
spellingShingle |
Spatial analysis of crime evolution in Portugal between 1995 and 2013 Rajcic, Stjepan Tomislav Crime evolution Spatial data analysis Multidimensional data analysis STATIS Principal component analysis |
title_short |
Spatial analysis of crime evolution in Portugal between 1995 and 2013 |
title_full |
Spatial analysis of crime evolution in Portugal between 1995 and 2013 |
title_fullStr |
Spatial analysis of crime evolution in Portugal between 1995 and 2013 |
title_full_unstemmed |
Spatial analysis of crime evolution in Portugal between 1995 and 2013 |
title_sort |
Spatial analysis of crime evolution in Portugal between 1995 and 2013 |
author |
Rajcic, Stjepan Tomislav |
author_facet |
Rajcic, Stjepan Tomislav |
author_role |
author |
dc.contributor.none.fl_str_mv |
Gomes, Paulo Jorge Mota de Pinho Costa, Ana Cristina Marinho da Mateu Mahiques, Jorge RUN |
dc.contributor.author.fl_str_mv |
Rajcic, Stjepan Tomislav |
dc.subject.por.fl_str_mv |
Crime evolution Spatial data analysis Multidimensional data analysis STATIS Principal component analysis |
topic |
Crime evolution Spatial data analysis Multidimensional data analysis STATIS Principal component analysis |
description |
The main objective of this survey was to perform descriptive analysis of crime evolution in Portugal between 1995 and 2013. The main focus of this survey was to analyse spatial crime evolution patterns in Portuguese NUTS III regions. Most important crime types have been included into analysis. The main idea was to uncover relation between local patterns and global crime evolution; to define regions which have contributed to global crime evolution of some specific crime types and to define how they have contributed. There were many statistical reports and scientific papers which have analysed some particular crime types, but one global spatial-temporal analysis has not been found. Principal Component Analysis and multidimensional descriptive data analysis technique STATIS have been the base of the analysis. The results of this survey has shown that strong spatial and temporal crime patterns exist. It was possible to describe global crime evolution patterns and to define crime evolution patterns in NUTS III regions. It was possible to define three to four groups of crimes where each group shows similar spatial crime dynamics. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-03-25T15:18:24Z 2015-02-27 2015-02-27T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/14546 TID:201404338 |
url |
http://hdl.handle.net/10362/14546 |
identifier_str_mv |
TID:201404338 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137858822340608 |