STAFF PROFILE
Dr Alan Both
Position:
Research Officer
College / Portfolio:
School of Science Cluster
School / Department:
Geospatial Science
Phone:
+61 3 9925 9682
Email:
alan.both@rmit.edu.au
Campus:
Melbourne City Campus
Alan Both is a Research Fellow in geographic information science in the School of Mathematical and Geospatial Sciences.
Alan Both's research interests lie in the area of geographic information science (GIScience), in particular applying spatial reasoning to information where there is a high degree of uncertainty.
Specific areas of interest include:
- Qualitative spatial representation and reasoning;
- Wireless sensor networks and distributed geospatial computing;
- Data mining and visualisation of spatial data; and
- Analysis of location, movement and navigation data.
For a complete list of publications see Alan Both’s Google Scholar or Scopus listing.
- PhD Engineering, University of Melbourne
- BSc Earth Sciences, University of Melbourne
- BGeom (hons), University of Melbourne
- Li, S.,Long, Z.,Liu, W.,Duckham, M.,Both, A. (2015). On redundant topological constraints In: Artificial Intelligence, 225, 51 - 76
- Galton, A.,Duckham, M.,Both, A. (2015). Extracting causal rules from spatio-temporal data In: Proceedings of the12th International Conference on Spatial Information Theory (COSIT 2015) Lecture Notes in Computer Science Volume: 9368, Santa Fe, United States, 12-16 October 2015
- Both, A.,Duckham, M.,Laube, P.,Wark, T.,Yeoman, J. (2013). Decentralized monitoring of moving objects in a transportation network augmented with checkpoints In: The Computer Journal, 56, 1432 - 1449
- Both, A.,Kuhn, W.,Duckham, M. (2013). Spatiotemporal Braitenberg vehicles In: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Florida, United States, 5 - 8 November 2013
- Both, A.,Duckham, M. (2013). Qualitative spatial structure in complex areal objects using location-free, mobile geosensor networks In: Proceedings of the IEEE 13th International Conference on Data Mining Workshops (ICDMW 2013), Dallas, United States, 7-10 December 2013