Placing people into homes: A national simulation

In Australia, we have the longitude and latitude of every building. The GNAF dataset. In addition, we have census data (within geocoded regions) that tells us all about the population. The aim of this project is to build a Python workflow that efficiently places people of different demographic results (user-determined) into buildings across the nation. These simulations will then drive the development of Geographic Maps of the population and form the underpinning of various scientific analyses. The project will involve the development of code to efficiently handle 10's of millions of data points and to integrate these data points to support nation-level simulations. The workflow of Python code will need to be modifiable to adjust for different variables and also updatable as new datasets come online. The team working on this project are some of the nation's leaders in GIS and large data analysis as it relates to health and welfare in Australia. They have a long track record (20 years plus) in the field and a strong basis in programming and GIS workflow.

Client


Contact: Yulianna Shiikha, Estie Kruger and Marc Tennant
Phone: 0420942558
Email: [email protected]
Preferred contact: Email,SMS
Location: UWA, main campus or online

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 July 2024
Modified By: Michael Wise 		UWA