1. Crime and Education Analysis in the City of Portland By Alexander Warschauer, Neamh Gaddi-Nguyen, and Oscar Gayet CCE 202 Spring Term 2016 Final We will investigate the types of crimes (drugs, violence, sexual offenses, and petty) and their prevalence within the boundaries of schools contained inside the city of Portland, Oregon. Old Pic: https://vintageportland.wordpress.com/2010/05/04/portland-trolley-map/ City of Portland: http://www.pdxparks.org/sdc/sdc_rate_calc/index.htmlhttp://www.pdxparks.org/sdc/sdc_rate_calc/index.html

2. There are many different applications of Arc Maps. Many of which we have discussed in the pass. We wanted to see if there was any association with education and crime rates. Does investing into education help lower crime rates in communities? Site Selection, Demographic Analysis, Network Analysis, and Incident Mapping were all used in this research. Introduction: June 1, 2016 1 In order to analyses this question we used four applications of Arc Map.

3. We wanted to see if there was any association with education and crime rates. Does investing into education help lower crime rates in communities? We will investigate the types of crimes (drugs, violence, sexual offenses, and petty) and their prevalence within the boundaries of public education contained inside the city of Portland, Oregon. Objectives: June 1, 2016 2 Education Decrease Crime Rate No Change Crime Rate Increase Crime Rate If one of these trends/patterns/or associations are noticed we will compare the crime densities of each type of crime near schools and in the city overall.

4. Background: June 1, 2016 3 Sources for data: All of our data was found using public data bases. The Oregon Spatial Data Library is one we have used frequently for CCE 202 Assignments. The data on schools in Portland, Oregon was located using: http://spatialdata.oregonexplorer.info/geoportal/catalog/main/home.page The data on crimes in Portland, Oregon was located using: http://www.civicapps.org/datasets/crime-incidents-2013 The data on city boundary of Portland was located using: http://spatialdata.oregonexplorer.info/geoportal/catalog/main/home.page;jsessi onid=14ADC213D785930BC81EC76968A1F448.liboeapp1

5. Definitions: June 1, 2016 4 Key concepts we defined for the purpose of our project: Classification of Crimes ●Drug-Related Crimes: ○Drugs and Driving Under the Influence (DUI’s) ●Violent Crimes: ○Weapons, Simple and Aggravated Assault, Homicide ●Sex-Related Crimes: ○Sexual Offenses and Rape ●Petty Crimes: ○Vandalism, Trespassing, Curfew, Disorderly Conduct

6. Workflow (Flowchart): June 1, 2016 5 Step 1: import data From Sources listed in previous slide. Step 2: Separate crime data into types of crime Select Data by attributes and create new layers for each type of crime. Step 3: create new layers for each type of school Select Schools by Attributes and create new layers for each type of school. Step 4: buffer schools Create a 2000 ft buffer around each type of school. Step 5: intersect different levels of schools with the different types of crimes This will create 16 new total layers. Each school type intersected with each crime type. Step 6: compare crime density of education areas to crime density for the city Steps 7, 8, 9, 10 explain more. Step 7: Find the total area of each education level buffer. Step 8: For each of the 16 crime-buffer intersection layers, calculate the density of the type of crime. Step 10: Calculate the density of each type of crime in the city of Portland. Step 11: Compare the crime densities of each type of crime near school and in the city overall. Petty Crimes Violent Crimes Sexual Crimes Drug Crimes Elementary Middle/ Jr High High School University/ College Step 9: Calculate the density of each type of crime for Higher Education, not including downtown locations.

7. Procedure: June 1, 2016 6 City border layer (Portland in orange) with all Crime points. Education points with different colors for each level with Portland city outline and crime data in pink.

8. Procedure: 7 Education points with buffers in different color for each level. Education buffers with intersected drugs crime data and street basemap.

9. Final Maps: Petty Crime June 1, 2016 8

10. Final Maps: Violent Crime 9

11. Final Maps: Sex Crime 10

12. Final Maps: Drugs Crime 11

13. Results (Trends/ Data Analysis): June 1, 2016 12

14. Results: June 1, 2016 13 Shortcomings: ● Areas near K-12 schools had lower crime density than in the city overall for all crime types. ● High schools tend to have higher crime densities than elementary and middle schools ● Higher education had the highest crime density for petty, violent, and drugs crimes. ● Higher education without the downtown schools had significantly lower crime densities than higher education or the city. ● Observationally it seems that the Downtown Portland has a higher crime density than the rest of the city.

15. Any Questions? June 1, 2016 14 Thank you for Your Time.