Utilizing a data integration approach to analyse the nature of homicide crimes in the cities of Edinburgh and Glasgow throughout the past century.

Alison Rourke-McBride

Abstract

This dissertation used a data integration approach to study the nature of homicide crimes in the cities of Edinburgh and Glasgow over the past century (between 1910 and 2010).   Archive records of high court trials and media sources were used to obtain the specific geographic location of homicide crimes.  226 homicide crimes for Edinburgh were digitized and 451 for Glasgow.  The data analysis phase of the project assessed the data from both exploratory and confirmatory perspectives.  Hot spot analysis using Nearest Neighbour Hierarchical Clustering (Nnh) has shown significant temporal trends in the clustering of homicide hot spots in both Edinburgh and Glasgow throughout the past century.  Regression analysis was then applied to explore the relationship between homicide crimes and two recognized material deprivation indexes, the Townsend Index and the Carstairs Index.  Results have shown a weak but positive relationship with both indexes.

 

Research Question 1: What is the spatial distribution of homicide crimes in the cities of Edinburgh and Glasgow?

 

Nnh was applied to the 2000-10 homicide data sets for both Edinburgh and Glasgow, the results are shown in Figures 1 and 2.  Seven first order clusters were found for Edinburgh and overall the dataset showed statistically significant clustering.   The results for Glasgow also showed a high level of clustering in this decade, however, the Monte Carlo test showed that there was more chance that this was down to random variability.

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Figure 1 Nearest Neighbour Hierarchical Clustering for Edinburgh 2000-10. Clusters are represented by ellipses shown in red. The precise location of murders are shown in blue.

 

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Figure 2 Nearest Neighbour Hierarchical Clustering for Glasgow 2000-10.  Clusters are represented by ellipses shown in red.  The precise location of murders are shown in blue.

 

Research Question 2: Do these clusters, if any, stay the same throughout the study period?

This research question attempted to assess whether the geographic distribution of the current homicide crimes analyzed in research question 1 were consistent throughout the study period. Nnh analysis was applied to the homicide data for each decade from 1910 to 1990 for both Edinburgh and Glasgow.  The ellipses showing clusters for each decade were overlaid on top of each other to assess the distribution of homicide hot spots over the past century.

 

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Figure 3 Ellipses showing clustering of homicide crimes in Edinburgh between 1910 and 1990.

 

The results show considerable temporal trends in the spatial distribution of hot spots for both cities.  In Edinburgh clustering of hot spots spanned from the east end of the city center towards Leith, in Glasgow the distribution was concentrated around the city center and surrounding areas.

 

These results reflect in a more literal sense with Loic Wacquant (2009)’s concept of territorial stigmatization. They suggest that an area with high homicide rates is maintained throughout time in a non-cyclical process, in the same way perceptions of crime can become entrenched in an area.

 

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Figure 4 Ellipses showing clusters of homicide crimes in Glasgow between 1910 and 1990.

 

Research Question 3: Is there a statistical association between crimes of homicide and indicators of deprivation?

 

Research question 3 attempted to build upon the results from research questions 1 and 2 by using regression analysis to assess whether there is a statistical correlation between homicide crimes and material deprivation. This question was formulated by taking into account the ideas of social disorganisation theory, which is at the forefront of crime analysis theory (Cahill and Mulligan, 2007).  Previous studies on homicide have effectively established a correlation between homicide crimes and inequality, material deprivation or socio-economic deprivation (Ye and Wu, 2011, Ceccato, 2008, Messner et al., 2013). 

 

OLS was applied from 1970 to 2000 using the Townsend and Carstairs indexes of material deprivation as the explanatory variable. The results show a weak but positive relationship between homicide rate and material deprivation (See Table 1 and 2).  With further investigation it was established that male unemployment had a more significant correlation with the homicide crimes (See Table 3).

 

Table 1 OLS Coefficient results for Edinburgh 1970-2000. * p<95%.

Edinburgh

1970

1980

1990

2000

Townsend Index

0.1988*

-0.1442*

0.0978*

0.084*

Adjusted R2

0.362934

0.037337

0.086758

0.086216

Carstairs Index

0.199658 *

-0.01594406

0.1252952*

0.130106*

Adjusted R2

0.142003

-0.010804

0.105358

0.192658

 

Table 2 Coefficient results for Glasgow 1970-2000. (* = p< 95%)

Glasgow

1970

1980

1990

2000

Townsend Index

0.1177*

0.0649*

0.07308497*

0.37959

Adjusted R2

0.162634

0.042259

0.052997

0.02727

Carstairs Index

0.0889962

0.05799*

0.1253*

0.074*

Adjusted R2

0.036773

0.032970

0.105358

0.046347

 

 

Table 3 OLS coefficient estimates for Edinburgh and Glasgow male unemployment as a deprivation indicator. (*=p<95%)

Edinburgh

1970

1980

1990

2000

 

0.5698*

0.11431

 0.3502745 *

0.4187942*

Adjusted R2

0.303860

0.002137

0.155410

0.162538

Glasgow

1970

1980

1990

2000

 

0.36021*

0.208223*

0.2405763*

0.2179834*

Adjusted R2

0.106363

0.034777

0.049350

0.033463

 

Conclusions

 

This dissertation offers a new perspective on the spatial determinants of homicide crimes in Scotland.  It has shown that there is significant potential to increase the understanding of these crimes through the application of GIS methods.

 

Hot spot analysis has highlighted prominent spatial patterns to the distribution of homicide crimes and that this pattern remained consistent throughout the past century in both Edinburgh and Glasgow.

 

Although having not been able to establish a strong correlation between homicide and material deprivation, this dissertation offers a contribution to the study of homicide crime in Scotland.  It provides a basis for further investigation and the potential to assist in the prevention of homicide crime. 

 

Key References

 

CARSTAIRS, V. M., RUSSELL 1991. Which Deprivation? A Comparison of Selected Deprivation Indexes. 13, 318-326.

CECCATO, V. 2008. Expressive Crimes in PostSocialist States of Estonia, Latvia and Lithuania1. Journal of Scandinavian Studies in Criminology and Crime Prevention, 9, 2-30.

MCCALL, P. L., PARKER, K. F. & MACDONALD, J. M. 2008. The dynamic relationship between homicide rates and social, economic, and political factors from 1970 to 2000. Social Science Research, 37, 721-735.

MESSNER, S. F., TESKE, R. H. C., BALLER, R. D. & THOME, H. 2013. Structural Covariates of Violent Crime Rates in Germany: Exploratory Spatial Analyses of Kreise. Justice Quarterly, 30, 1015-1041.

TOWNSEND, P., PHILLIMORE, P. & BEATTIE, A. 1988. Health and deprivation : inequality and the North / Peter Townsend, Peter Phillimore and Alastair Beattie, London ; New York : Croom Helm, [1988], ©1988.

WACQUANT, L. 2009. TERRITORIAL STIGMATIZATION IN THE AGE OF ADVANCED MARGINALITY. Protosociology: An International Journal of Interdisciplinary Research, 26, 213-225.

WANG, F. & ARNOLD, M. T. 2008. Localized income inequality, concentrated disadvantage and homicide. Applied Geography, 28, 259-270.

YE, X. & WU, L. 2011. Analyzing the dynamics of homicide patterns in Chicago: ESDA and spatial panel approaches. Applied Geography, 31, 800-807.