About the Research Group
Geomatics at the University of Melbourne is about science and research into spatial information, and explores the foundations required to understand the unique properties of spatial information. Spatial information poses unique questions about multi-dimensional representations, uncertainty, dependence and heterogeneity, skills and literacy, context-aware computing, language understanding and more.
The domain of spatial information science comprises aspects from disciplines such as artificial intelligence, psychology (spatial cognition), mathematical logics, geography, and geodesy.
At The University of Melbourne we focus on two areas:
- legal frameworks and technical platforms to conceptualise, store and communicate land ownership information
- formal models and implementations of processes including environmental change, movement, and verbal communication about space.
Research Focus Areas
Geomatics research projects fall into two main areas:
Spatial Data Infrastructures and Land Administration
The Geomatics team is an international leader in spatial data infrastructures and land administration. We also maintain strong collaborative research links with private industry and federal, state and local government bodies.
Our research agenda embraces legal, institutional and technical issues of establishing and accessing information about land faced by land managers and administrators, in both developed and developing countries.
Examples of our research projects include:
- Establishment of spatial data infrastructure in State and Local government
- cadastral data and the Internet
- design, construction and management of spatial data infrastructures
- cadastral reform and land tenure in developing countries
- development of a marine cadastre.
Visit the Centre for Spatial Data Infrastructures and Land Administration for more information.
Spatial Information Science
The Geomatics team is internationally recognised for its research in spatial information science. Our research agenda explores emerging technologies such as sensor networks, mobile mapping platforms and mobile communication to develop novel services. We frequently choose interdisciplinary approaches to problem solving, such as with computer science, linguistics or electrical engineering.
Examples of projects in this field of expertise are:
- decentralised spatial computing, with applications in environmental monitoring
- computational transportation science, with applications in smarter integrated transport solutions
- ubiquitous positioning
- spatial cognitive engineering, especially in the provision of route information
- multi-spectral imaging for marine mapping and monitoring
- heritage monument recording and documentation.