A Spatial Analysis of Homicide Crime’s Distribution and Association with Deprivation in Stockholm Between 2010-2017
(2019) In Master Thesis in Geographical Information Science GISM01 20182Dept of Physical Geography and Ecosystem Science
- Abstract
- A Spatial Analysis of Homicide Crime’s Distribution and Association with Deprivation in Stockholm Between 2010-2017
Homicide crimes are rare events depending on numerous factors and tend to be distributed differently based on geographic location. The use of spatial analysis is substantively important for detecting different predictors in varying geographic areas and for the diffusion process of homicide crimes.
Modern research, mainly from the U.S, acknowledge a strong relationship between poverty and homicide rates. However, it lacks to resolve weather concentrated poverty, defined similarly, can explain cross national differences in homicide rates, and how distributions of inequality directly compare at the neighbourhood level.
... (More) - A Spatial Analysis of Homicide Crime’s Distribution and Association with Deprivation in Stockholm Between 2010-2017
Homicide crimes are rare events depending on numerous factors and tend to be distributed differently based on geographic location. The use of spatial analysis is substantively important for detecting different predictors in varying geographic areas and for the diffusion process of homicide crimes.
Modern research, mainly from the U.S, acknowledge a strong relationship between poverty and homicide rates. However, it lacks to resolve weather concentrated poverty, defined similarly, can explain cross national differences in homicide rates, and how distributions of inequality directly compare at the neighbourhood level.
This dissertation explores homicide crimes in a spatial context in Stockholm, Sweden between the years 2010-2017. The precise locations of homicide crimes were obtained from various sources and confirmed in an extensive verification process. The first part of the study investigates the spatial clustering of homicide crimes through Nearest Neighbour Hierarchical Clustering (NNH). The second part further address the spatial distribution of homicide crimes by investigating its relationship with material deprivation on a district level through Poisson based regression. Material deprivation was defined by a neighbouring deprivation index (NDI) consisting of four variables: income; education; unemployment; and social welfare
The results show several significant areas of spatial clustering, as well as a positive correlation between material deprivation and homicide rates. The relationship between homicide crimes and social welfare was particularly substantial in the regression model.
This study shows how spatial tools can be utilized in the field of homicide research. It illuminates the importance of establishing a deeper understanding of the nature of homicide crimes in Sweden in order for a more sufficient homicide crime control. In addition, the thesis’ results can help develop the prevention of homicide crimes and assist researchers’ further studies in the field. (Less) - Popular Abstract
- Investigating Homicide Crime’s Distribution in Stockholm
Homicide crimes have a serious impact on the perceived liveability of a community and can be used as an accurate indicator of community violence as well as a generalised predictor of general community well-being. They are rare events depending on numerous factors and tend to be distributed differently depending on geographic location.
Analysing homicide crimes in a geographic context could yield valuable insight into their casual dynamics: both where they occur; and why they occur more often in certain areas. The findings of these questions can be crucial in crime preventing work, and ultimately help in saving human lives.
This study investigates homicide crimes in... (More) - Investigating Homicide Crime’s Distribution in Stockholm
Homicide crimes have a serious impact on the perceived liveability of a community and can be used as an accurate indicator of community violence as well as a generalised predictor of general community well-being. They are rare events depending on numerous factors and tend to be distributed differently depending on geographic location.
Analysing homicide crimes in a geographic context could yield valuable insight into their casual dynamics: both where they occur; and why they occur more often in certain areas. The findings of these questions can be crucial in crime preventing work, and ultimately help in saving human lives.
This study investigates homicide crimes in Stockholm, Sweden between the years 2010-2017. The precise locations of homicide crimes were obtained from various sources and confirmed in an extensive verification process. These locations were used to identify and analyse hot spots of homicide crimes in the municipality. To further address the distribution, the relationship between economic disadvantage and homicide crimes was analysed through regression models.
The results show several areas of homicide crime clustering, where the north western part of the municipality is a particular dangerous zone. The study also shows that there is a positive correlation between neighbourhood poverty and the amount of homicide crimes. The variables constituting the deprivation index used to measure neighbourhood poverty was further analysed, where the relationship between homicide crimes and social welfare was shown to be particularly substantial in the model.
This study shows how geographical information systems (GIS) can be utilized in the field of homicide research. It illuminates the importance of establishing a deeper understanding of the severe nature of homicide crimes in Sweden in order to prevent them and build better communities. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8969869
- author
- Lindell Schettini, Dennis LU
- supervisor
- organization
- course
- GISM01 20182
- year
- 2019
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- GIS, homicide, deprivation, hot spot, generalized regression
- publication/series
- Master Thesis in Geographical Information Science
- report number
- 96
- language
- English
- id
- 8969869
- date added to LUP
- 2019-02-10 18:25:37
- date last changed
- 2019-02-10 18:25:37
@misc{8969869,
abstract = {{A Spatial Analysis of Homicide Crime’s Distribution and Association with Deprivation in Stockholm Between 2010-2017
Homicide crimes are rare events depending on numerous factors and tend to be distributed differently based on geographic location. The use of spatial analysis is substantively important for detecting different predictors in varying geographic areas and for the diffusion process of homicide crimes.
Modern research, mainly from the U.S, acknowledge a strong relationship between poverty and homicide rates. However, it lacks to resolve weather concentrated poverty, defined similarly, can explain cross national differences in homicide rates, and how distributions of inequality directly compare at the neighbourhood level.
This dissertation explores homicide crimes in a spatial context in Stockholm, Sweden between the years 2010-2017. The precise locations of homicide crimes were obtained from various sources and confirmed in an extensive verification process. The first part of the study investigates the spatial clustering of homicide crimes through Nearest Neighbour Hierarchical Clustering (NNH). The second part further address the spatial distribution of homicide crimes by investigating its relationship with material deprivation on a district level through Poisson based regression. Material deprivation was defined by a neighbouring deprivation index (NDI) consisting of four variables: income; education; unemployment; and social welfare
The results show several significant areas of spatial clustering, as well as a positive correlation between material deprivation and homicide rates. The relationship between homicide crimes and social welfare was particularly substantial in the regression model.
This study shows how spatial tools can be utilized in the field of homicide research. It illuminates the importance of establishing a deeper understanding of the nature of homicide crimes in Sweden in order for a more sufficient homicide crime control. In addition, the thesis’ results can help develop the prevention of homicide crimes and assist researchers’ further studies in the field.}},
author = {{Lindell Schettini, Dennis}},
language = {{eng}},
note = {{Student Paper}},
series = {{Master Thesis in Geographical Information Science}},
title = {{A Spatial Analysis of Homicide Crime’s Distribution and Association with Deprivation in Stockholm Between 2010-2017}},
year = {{2019}},
}