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| Welcome to duckham.org |
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Matt Duckham: I am an ARC Fellow at the Department of Infrastructure Engineering, University of Melbourne, where I also hold an appointment as an Associate Professor in Geographic Information Science. My group's research centers on distributed and robust computation with uncertain spatial and spatiotemporal information, especially within the domain of mobile, location-aware, and sensor-enabled systems. I lead the Ambient Spatial Intelligence research group at the University of Melbourne. In the past, I have taught undergraduate and postgraduate courses at the University of Melbourne in spatial databases, location-based services, geosensor networks, and programming with GIS and databases.
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Journal of Spatial Information Science: I am a founding Editor in Chief of the Journal of Spatial Information Science (JOSIS), the first broad coverage, open-access, international journal for the field. JOSIS is fully peer reviewed, with articles publicy available for download at no charge (to readers or authors). The journal is not owned or supported by any commercial publishers, and we rely on involvement from the spatial information science community, so please visit http://www.josis.org and get involved!
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Books: I am coauthor with Mike Worboys of the GIS textbook GIS: A Computing Perspective, Second Edition, published by CRC press. The book is available from Amazon. The web site to accompany the book can be found at worboys.duckham.org.
I am an editor of COSIT 2007 Proceedings, published by Springer in the Lecture Notes in Computer Science Series (LNCS vol 4736, contents).
I am also an editor of the book Foundations of Geographic Information Science, published by Taylor and Francis. The book includes contributions from David Mark, Mike Goodchild, Mike Worboys, Andrew Frank, Christopher Habel, John Stell, Thomas Bittner and Barry Smith, Antony Galton, Dan Montello, Stephen Hirtle, Chris Jones, Ray Larson and Sabine Timpf. The book is available and searchable on Amazon.
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Software: I've written a simple Oracle spatial data viewer in Java, primarily for teaching purposes. You can download the viewer from the Software page. The page also contains links to software for generating non-convex hulls that characterize the set of points in the plane, using a new "characteristic shapes" algorithm presented in a forthcoming Pattern Recognition paper.
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Created on 01/25/2005 05:46 AM by matt
Updated on 11/02/2011 05:08 PM by matt
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