Anthony Stefanidis – författare

GeoSensor Networks addresses multiple research challenges related to real-time geosensor data collection, management, analysis, and delivery. It examines these issues in a collection of papers submitted by experts in diverse research domains. Providing a cross-disciplinary forum that will foster collaboration and development, this volume has four sections, each of which represents a major aspect of geosensor networks: databases; image processing; computer networks; and applications. Combined, these papers deliver an excellent snapshot of the state-of-the-art in these fields, and offer a thoughtful and balanced evaluation of the potential and emerging challenges of these networks.

GeoSensor Networks addresses multiple research challenges related to real-time geosensor data collection, management, analysis, and delivery. It examines these issues in a collection of papers submitted by experts in diverse research domains. Providing a cross-disciplinary forum that will foster collaboration and development, this volume has four s

GeoSensor Networks addresses multiple research challenges related to real-time geosensor data collection, management, analysis, and delivery. It examines these issues in a collection of papers submitted by experts in diverse research domains. Providing a cross-disciplinary forum that will foster collaboration and development, this volume has four s

would like to express our appreciation to the authors and participants of ISD'99, who made the meeting a memorable one, and these proceedings a valuable contribution to the relevant literature. October 1999 Peggy Agouris and Anthony Stefanidis $FNQRZOHGJPHQWV This workshop was partially supported by the National Science Foundation (NSF), Directorate for Computer and Information Sciences and Engineering, Division of Information and Intelligent Systems (IIS), through CAREER grant number 9702233, and by the National Center for Geographic Information and Analysis (NCGIA).VII Preface :RUNVKRS 2UJDQL]DWLRQ :RUNVKRS &KDLU Peggy Agouris, University of Maine 3URJUDP &RPPLWWHH &KDLU Anthony Stefanidis, University of Maine 3URJUDP &RPPLWWHH Kate Beard, University of Maine Panos Chrysanthis, University of Pittsburgh Max Egenhofer, University of Maine Wolfgang Foerstner, University of Bonn, Germany Andrew Frank, Technical University of Vienna, Austria Dieter Fritsch, University of Stuttgart, Germany Mike Goodchild, University of California - Santa Barbara Armin Gruen, Swiss Federal Institute of Technology, Switzerland Thanasis Hadzilacos, Computer Technology Institute, Greece Marinos Kavouras, National Technical University of Athens, Greece David Mark, State University of New York at Buffalo Dave McKeown, Carnegie Mellon University Martien Molenaar, ITC, The Netherlands Dimitris Papadias, University of Science and Technology, Hong Kong, China Hanan Samet, University of Maryland - College Park Tapani Sarjakoski, Finnish Geodetic Institute, Finland Timos Sellis, National Technical University of Athens, Greece Shashi Shekhar, University of Minnesota Nektaria Tryfona, Aalborg University, Denmark Vassilis Tsotras, University of California - Riverside Marc van Kreveld, Utrecht University, The Netherlands /RFDO $UUDQJHPHQWV Blane Shaw, University of Maine 2UJDQL]LQJ &RPPLWWHH

This volume serves as the post-conference proceedings for the Second GeoSensor Networks Conference that was held in Boston, Massachusetts in October 2006. The conference addressed issues related to the collection, management, processing, ana- sis, and delivery of real-time geospatial data using distributed geosensor networks. This represents an evolution of the traditional static and centralized geocomputational paradigm, to support the collection of both temporally and spatially high-resolution, up-to-date data over a broad geographic area, and to use sensor networks as actuators in geographic space. Sensors in these environments can be static or mobile, and can be used to passively collect information about the environment or, eventually, to actively influence it. The research challenges behind this novel paradigm extend the frontiers of tra- tional GIS research further into computer science, addressing issues like data stream processing, mobile computing, location-based services, temporal-spatial queries over geosensor networks, adaptable middleware, sensor data integration and mining, au- mated updating of geospatial databases, VR modeling, and computer vision. In order to address these topics, the GSN 2006 conference brought together leading experts in these fields, and provided a three-day forum to present papers and exchange ideas.