Geospatial information has traditionally been stored and processed in physical locations that are unrelated to the actual locations referred to in that information. However, spatial data capture and computing devices are increasingly embedded in geographic space. Technologies like geosensor networks, for example, can be embedded in built and natural environments to capture, compute with, and communicate dynamic geographic information. The challenge is to equip these embedded technologies with the capability to respond directly, “in the network”, to spatiotemporal queries about the rapidly changing environment. This talk introduces the key principles behind computing with dynamic spatiotemporal information “in the network”, what makes such computing environments different from traditional spatial computing, and providing examples of some fundamental algorithms, approaches, and applications of decentralized spatial computing.
Matt Duckham Matt is Professor and Deputy Head at the School of Mathematical and Geospatial Sciences at RMIT University, Australia. He was previously Professor of Geographic Information Science at the University of Melbourne, Australia. From 2010 to 2014 he held a prestigious Future Fellowship from the ARC (Australian Research Council). Before moving to Melbourne in 2004, Matt worked at the National Center for Geographic Information and Analysis (NCGIA) at the University of Maine, USA. His research centers on spatial computing with uncertain geographic information, in particular with applications to sensor networks. His is coauthor of the textbook "GIScience: A computing perspective" and author of the book "Decentralized Spatial Computing: Foundations of Geosensor Networks".
Invited Talk e-session
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Tags: computer science, decentralized algorithms, distributed computing, environmental monitoring, geographic information science, geoinformatics, geosensor networks, moving objects, spatial computing
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