Spatial analysis of violent crimes in Metro Manila, Philippines
Spatial patterns of murder and physical injury in Metro Manila, Philippines were visualized through conditional choropleth maps. Relationship of both crime rates with some demographic variables were investigated while accounting for possible spatial autocorrelation using spatial lag models. Results...
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oai:animorepository.dlsu.edu.ph:faculty_research-16612022-11-08T03:48:37Z Spatial analysis of violent crimes in Metro Manila, Philippines Mojica, Vio Jianu Choi, Adelbert Leong, Robert Neil F. Co, Frumencio F. Spatial patterns of murder and physical injury in Metro Manila, Philippines were visualized through conditional choropleth maps. Relationship of both crime rates with some demographic variables were investigated while accounting for possible spatial autocorrelation using spatial lag models. Results show that both crime rates tend to cluster in the northern cities of Metro Manila. Furthermore, significant spatial lag coefficients were found only for physical injury rates, with values ranging from 0.49 to 0.62, signifying a positive city-level spatial dependence of physical injury rates in Metro Manila. Moreover, some demographic covariates, such as population density, percentage of young males, education, marriage, and immigration were found to be associated with both crime rates. These results could serve as useful indicators of crime incidence; thus it is recommended that crime monitoring systems include them to aid in resource allocation and program planning for better crime prevention and security management. © 2017, © 2017 School of Criminal Justice, Michigan State University. 2019-01-02T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/662 Faculty Research Work Animo Repository Crime analysis—Philippines—Metro-Manila Spatial analysis (Statistics) Criminology |
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Crime analysis—Philippines—Metro-Manila Spatial analysis (Statistics) Criminology |
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Crime analysis—Philippines—Metro-Manila Spatial analysis (Statistics) Criminology Mojica, Vio Jianu Choi, Adelbert Leong, Robert Neil F. Co, Frumencio F. Spatial analysis of violent crimes in Metro Manila, Philippines |
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Spatial patterns of murder and physical injury in Metro Manila, Philippines were visualized through conditional choropleth maps. Relationship of both crime rates with some demographic variables were investigated while accounting for possible spatial autocorrelation using spatial lag models. Results show that both crime rates tend to cluster in the northern cities of Metro Manila. Furthermore, significant spatial lag coefficients were found only for physical injury rates, with values ranging from 0.49 to 0.62, signifying a positive city-level spatial dependence of physical injury rates in Metro Manila. Moreover, some demographic covariates, such as population density, percentage of young males, education, marriage, and immigration were found to be associated with both crime rates. These results could serve as useful indicators of crime incidence; thus it is recommended that crime monitoring systems include them to aid in resource allocation and program planning for better crime prevention and security management. © 2017, © 2017 School of Criminal Justice, Michigan State University. |
format |
text |
author |
Mojica, Vio Jianu Choi, Adelbert Leong, Robert Neil F. Co, Frumencio F. |
author_facet |
Mojica, Vio Jianu Choi, Adelbert Leong, Robert Neil F. Co, Frumencio F. |
author_sort |
Mojica, Vio Jianu |
title |
Spatial analysis of violent crimes in Metro Manila, Philippines |
title_short |
Spatial analysis of violent crimes in Metro Manila, Philippines |
title_full |
Spatial analysis of violent crimes in Metro Manila, Philippines |
title_fullStr |
Spatial analysis of violent crimes in Metro Manila, Philippines |
title_full_unstemmed |
Spatial analysis of violent crimes in Metro Manila, Philippines |
title_sort |
spatial analysis of violent crimes in metro manila, philippines |
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Animo Repository |
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2019 |
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https://animorepository.dlsu.edu.ph/faculty_research/662 |
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