Locating and visualising crime for the WA Police Force

Police need accurate and easy to understand information, in order to help them make the right decisions. For example, Police need to know where and when crime is occurring so that they can strategically allocate resources to that area. If there is a spike in Assault offences in Fremantle, police need to be able to quickly become aware of, and proactively react to, this spike in crime.

This project will use visualisation of crime data in order to display the frequency of different crime types across Suburbs, and over time. For example, this could involve the creation of heat maps to show 'hot spots' for crime.

Students will:

  1. Import crime time series data into a system
  2. Display time series of crime frequency by time, for user selected type(s) of crime, region(s) and time period
  3. Display a heat map of crime frequency by regions for selected type of crime and time period, so that the results can be easily communicated to Police executive and Police officers
    4. Additional functionalities (if time permits):
  4. Highlight anomalies in time series of spatial maps
  5. Link the crime data with other data sources, e.g. census demographic data or weather data, for visual exploration

Students will work with time series crime data. This data contains information regarding the crimes reported to or becoming known to the WA Police Force over the past 10 years. In particular, it contains the frequency of different crime types (e.g. stealing, assault, drug offences, etc.) by offence locality (suburb-level) and date (month-year). Note that this data is publicly available via the WA Police Force Crime Statistics website. A confidentiality agreement will also be necessary.

Client


Contact: Janelle Baily
Phone: 9223 3431
Email: [email protected]
Preferred contact: Email
Location: 60 Beaufort St, Perth WA

IP Exploitation Model


The IP exploitation model requested by the Client is: Creative Commons (open source) http://creativecommons.org.au/


Department of Computer Science & Software Engineering
The University of Western Australia
Last modified: 18 June 2021
Modified By: Michael Wise 		UWA