homicide predictions
DESCRIPTION
Homicide predictions. St. Louis 2013 Group A: Derek Clardy Maria Kattia Del Rio Tomita Seungyoon Kim Tamara Pokol. Approach. St. Louis 14 th Most Dangerous. Downtown West was ranked 14 th most dangerous A report based on F.B.I data back in 2010. St. Louis Homicide Historical Data. - PowerPoint PPT PresentationTRANSCRIPT
HOMICIDE PREDICTIONSSt. Louis 2013Group A:Derek ClardyMaria Kattia Del Rio TomitaSeungyoon KimTamara Pokol
Approach
Collect Historical
Data• Number and place of murders
Build a Regression Model
• Factors to be considered• Factors available• Build a regression model
Forecast Murder
• Number and place of murders
St. Louis 14th Most Dangerous
• Downtown West was ranked 14th most dangerous• A report based on F.B.I data back in 2010
St. Louis Homicide Historical Data
1985 1990 1995 2000 2005 2010 2015 -
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Murder and Nonnegligent Manslaughter
Num
ber o
f Mur
ders
St. Louis Homicide by Police District
Police Patrol
District Number 2008 2009 2010 2011 2012
South 1 10 9 10 12 12
South 2 1 2 4 2 2
South 3 11 13 10 16 13
Central 4 12 12 7 11 6
Central 5 19 26 30 17 18
North 6 44 27 40 26 32
North 7 35 29 21 15 15
North 8 17 17 15 13 8
Central 9 18 8 7 2 7
Factors considered
CRIME
• Robbery• Forcible Rape• Aggravated Assault• Drug Enforcement
Arrest Data• Number of
Policeman
ECONOMIC
• Low Income Households (<$10,000)
• With Food Stamp Benefit
• Unemployed Civilians
• Unemployment rate
Factors consideredDEMOGRAPHIC/
EDUCATION
• Divorced• Race• Men (18-65 years)• Men (15-44 years)• High School
Dropout Rate• Educational level
Other Factors
• Gun ownership• Gangs
concentration• Drug usage• Alcohol sales• Crime prevention
programs
Factors Available & Correlation with Murder
CRIME
• Robbery: 0.85• Forcible Rape:
0.65• Aggravated
Assault: 0.78• Drug
Enforcement Arrest Data: (-0.64)
• Number of Policeman: -0.54
ECONOMIC
• Low Household Income Class: 0.79
• With Food Stamp Benefit: 0.79
• Unemployed Civilians: 0.78
• Unemployment rate: (-0.18)
DEMOGRAPHIC/ EDUCATION
• Divorced: 0.37• Race: White:
0.58 African American: 0.59
• Men 18-65 years: 0.36
• Men 15-44 years: 0.77
• High School Dropout Rate: 0.12
Factors Selection• Correlation doesn`t mean causation!• Highly correlated factors• Build a reasonable model
• Factors used to build regression model:• Robbery in St. Louis• Aggravated Assault• Low Income Class• Unemployed Civilians• Black or African American• Men 15-44 years
63 potential models!
Best Fit Regression Model
• Regression line:Number of murders=(-405.90559)-(0.08864*Robbery)+(0.00035*Low Income Class)+(0.00460*Black or African American)
• Model:P=0.0327=<0.05 R square=0.98 Standard Error of Estimate=4.1
2006 2007 2008 2009 2010 2011 201270
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Murder and Nonnegligent Manslaughter
Actual ValuesFitted Values
Num
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f Mur
ders
2013 ForecastBased on Homicide Statistics 1985-2012
Exponential Smoothing
Holt`s Method Moving Average
Forecasting Constant
Alfa: 0.92 Alfa: 1, Beta:0 Span: 3
Forecasting Error*
17.10% 16.91% 18.79%
Forecast 2013 113.08 111 113.5
*Mean Absolute Percentage Error
2013 Forecast – Holt`s Method
• Accuracy: 16.91% mean absolute percentage error
• 111 murders are forecasted for 2013
1985
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2011
2013
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Forecast and Original Observations
Murder and Nonnegligent ManslaughterForecastMurder and Nonnegligent Manslaughter
Num
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2013 ForecastNumber of Murders by Police District
• 58% of all murders was committed in district 5, 6, and 7• 65 out of 111 murders predicted to be in three districts
Police Patrol
District Number
% of Total Murders
2008-2012 Years
Number of Murders Forecasted 2013
South1 8% 02 2% 23 9% 10
Central 4 7% 85 16% 18
North6 25% 287 17% 198 10% 11
Central 9 6% 7100% 111
Conclusion• Our regression model is better than the best forecasting
technique• Useful model for predictions
• The model can be extended:• Include more data: buy statistics (e.g. divorce by year), FBI
historical data• Our model can be used to support decision-making in
different industries: • Health Care• Security • Investment Opportunities• Community Services
Microsoft Excel Worksheet
Questions?
References• St Louis Police Department: http://www.slmpd.org/• Missouri Census Data Center: http://
mcdc1.missouri.edu/cgi-bin/acsprofiles/acsprofiles.py?period=2006&geoids=16000US2965000&subjects=Demographic&subjects=Economic&subjects=Social&subjects=Housing
• Crime Reports: https://www.crimereports.com/map/index/?search=1200+Clark%20Avenue+St.%20Louis+MO&agencyzoomlevel=
https://www.crimereports.com/map/index/?search=1200+Clark%20Avenue+St.%20Louis+MO&agencyzoomlevel
=• KMOV News: http
://www.kmov.com/news/local/St-Louis-ranks-14th-as-most-dangerous-neighborhood-89951832.html