Institute for Canadian Urban Research Studies

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The Institute for Canadian Urban Research Studies (ICURS) is an inter-disciplinary research centre based Simon Fraser University. The Institute has as its focus increasing knowledge and research studies and the development of new analysis tools for the study of crime in an urban environment. ICURS focuses on: crime reduction policy, crime analysis and computational criminology.
ICURS blends expert knowledge in government departments with leading edge theory and research in universities. Its goal is to work thematically across the disciplines of criminology, computing science, geography, economics, and applied mathematics to make advances in understanding and modeling of the complex urban environment, and with these models better understand how to improve approaches to crime reduction and the use of informatics in criminological research.

If you are interested in the research done at ICURS please contact:
ICURS Institute
Patricia Brantingham, Director ICURS Institute
Email: pbrantin@sfu.ca

A Non-Parametric Maximum for Reasonable Number of Rejected Hypotheses: Objective Optima for False Discovery Rate and Significance Threshold in Exploratory Research with Application to Ordinal Survey Analysis

Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2017-03-24
Abstract: 

This paper identifies a criterion for choosing the largest set of rejected hypotheses in high-dimensional data analysis where Multiple Hypothesis testing is used in exploratory research to identify significant associations among many variables. The method neither requires predetermined thresholds for level of significance, nor uses presumed thresholds for false discovery rate. The upper limit for number of rejected hypotheses is determined by finding maximum difference between expected true hypotheses and false hypotheses among all possible sets of rejected hypotheses. Methods of choosing a reasonable number of rejected hypotheses and application to non-parametric analysis of ordinal survey data are presented.

Document type: 
Article
File(s): 

Crime in the Built Urban Environment: Exploring the Impact of Road Networks and Land Use on Residential Burglary Patterns

Peer reviewed: 
Yes, item is peer reviewed.
Date created: 
2016
Abstract: 

This research explores the micro-spatial concentrations of residential burglary within the Canadian municipality of Surrey, BC. The spatial distribution of residential burglary events are explored in relation to the street network, as well as local crime attractors and generators. Findings emphasize that the concentrated nature of residential burglary may be influenced by physical structure of the urban environment.

Document type: 
Conference presentation
File(s): 

Crime Pattern Visualization

Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2016-09
Abstract: 

An overview of crime pattern visualization for urban areas with a focus on crime pattern visualizations for Metro Vancouver. 

Document type: 
Report
File(s): 

It’s in the Data: University-Police Collaborative Research

Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2016
Document type: 
Conference presentation
File(s): 

Patterns of Celerity in British Columbia’s Provincial Courts

Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2016
Document type: 
Conference presentation
File(s): 

The Prevalence of Crime in British Columbia - 2014

Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2016
Document type: 
Conference presentation
File(s): 

Rig Pigs: A Longitudinal Analysis of Crime and Energy Prices In Alberta

Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2016
Document type: 
Conference presentation
File(s): 

The Trajectories of Crime at Places: Understanding the Patterns of Disaggregated Crime Types

Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2016
Document type: 
Conference presentation
File(s): 

Crime Basket Analysis

Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2016
Document type: 
Conference presentation
File(s):