G
Guoray Cai
Researcher at Pennsylvania State University
Publications - 69
Citations - 1502
Guoray Cai is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Geospatial analysis & Crisis management. The author has an hindex of 20, co-authored 67 publications receiving 1432 citations. Previous affiliations of Guoray Cai include Tianjin University & Penn State College of Information Sciences and Technology.
Papers
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Journal ArticleDOI
Geovisualization for knowledge construction and decision support
Alan M. MacEachren,Mark Gahegan,William Pike,Isaac Brewer,Guoray Cai,Eugene J. Lengerich,F. Hardistry +6 more
TL;DR: This research develops visual methods and tools to support a wide array of geospatial data applications that enable distributed geovisualization across software components, devices, people, and places.
Journal ArticleDOI
Speech-gesture driven multimodal interfaces for crisis management
Rajeev Sharma,Mohammed Yeasin,N. Krahnstoever,Ingmar Rauschert,Guoray Cai,Isaac Brewer,Alan M. MacEachren,Kuntal Sengupta +7 more
TL;DR: The importance of multimodal interfaces in various aspects of crisis management is established and many issues in realizing successful speech-gesture driven, dialogue-enabled interfaces for crisis management are explored.
Journal ArticleDOI
Enabling collaborative geoinformation access and decision‐making through a natural, multimodal interface
Alan M. MacEachren,Guoray Cai,Rajeev Sharma,Ingmar Rauschert,Isaac Brewer,Levent Bolelli,B. Shaparenko,Sven Fuhrmann,Hongmei Wang +8 more
TL;DR: An approach for designing natural, multimodal, multiuser dialogue‐enabled interfaces to geographic information systems that make use of large‐screen displays and integrated speech–gesture interaction is developed.
Journal ArticleDOI
The minimum augmentation of any graph to a K-edge-connected graph
Guoray Cai,Yu‐Geng ‐G Sun +1 more
TL;DR: A good characterization and good algorithm are obtained for augmenting G0 to a K-edge-connected graph and applications are suggested in designing a reliable network aiming at the most effective use of exising network.
Book ChapterDOI
GeoVSM: An Integrated Retrieval Model for Geographic Information
TL;DR: A new retrieval model, called GeoVSM (Geographic + Vector Space Model), is proposed, which integrates coordinate-based geographic indexing with the keyword-based vector space model in representing information space.