Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7527
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dc.contributor.authorLeung, Yeeen_US
dc.contributor.authorWong, Man Hongen_US
dc.contributor.authorWong, Ka Chunen_US
dc.contributor.authorZhang, Weien_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.date.accessioned2023-03-22T06:58:02Z-
dc.date.available2023-03-22T06:58:02Z-
dc.date.issued2012-
dc.identifier.citationInternational Journal of Geographical Information Science, 2012, Vol. 26 (1), pp. 75 - 97en_US
dc.identifier.issn13658816-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7527-
dc.description.abstractA web-based system is developed for the analysis and prediction of tropical cyclones, particularly their landfalls and recurvatures. To facilitate accessibility to the system, its development is based on Google Maps application programming interface (API), Java and client/server architecture. In addition to the construction of a powerful query system for the multi-source, multi-scale and multi-level tropical cyclone database, data mining approach and dynamic modelling approach have been implemented and integrated for effective and efficient analysis, prediction and visualization of tropical cyclone movements. The system can be accessed worldwide by researchers, professionals and the general public. It is thus a powerful system for research, real-life application and knowledge dissemination. Its extensibility and user-friendliness pave the road for further development and enable more in-depth analysis and real-time operation. © 2012 Copyright Taylor and Francis Group, LLC.en_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofInternational Journal of Geographical Information Scienceen_US
dc.titleA novel web-based system for tropical cyclone analysis and predictionen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1080/13658816.2011.572075-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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