Spatial Information Theory 8th International Conference, COSIT 2007,
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Stephan Winter Matt Duckham Lars Kulik Ben Kuipers (Eds.)
Spatial Information Theory 8th International Conference, COSIT 2007 Melbourne, Australia, September 19-23, 2007 Proceedings
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Volume Editors Stephan Winter The University of Melbourne Australia E-mail: [email protected] Matt Duckham The University of Melbourne Australia E-mail: [email protected] Lars Kulik The University of Melbourne Australia E-mail: [email protected] Ben Kuipers The University of Texas USA E-mail: [email protected]
Library of Congress Control Number:2007933826 CR Subject Classification (1998): E.1, I.2, F.1, H.2.8, H.1, J.2 LNCS Sublibrary: SL 1 – Theoretical Computer Science and General Issues ISSN ISBN-10 ISBN-13
0302-9743 3-540-74786-9 Springer Berlin Heidelberg New York 978-3-540-74786-4 Springer Berlin Heidelberg New York
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Preface
Spatial information theory explores the foundations of space and time. It searches to model perceptions and cognition of space and time, their efficient representation, reasoning about these representations, and the communication of knowledge about space and time. The Conference on Spatial Information Theory, COSIT, focuses especially on the geographic scale, the scale beyond immediate vista. Even within the limits to geographical scale, spatial information theory covers interests of multiple discip
