Web-based Geographical Information System for Analyzing and Predicting Typhoon

Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/8699

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DC Field	Value	Language
dc.contributor.author	Lee, Kwan Hau Thomas	en_US
dc.date.accessioned	2017-03-08T06:22:12Z
dc.date.accessioned	2017-09-19T08:51:09Z
dc.date.accessioned	2019-02-12T06:53:20Z	-
dc.date.available	2017-03-08T06:22:12Z
dc.date.available	2017-09-19T08:51:09Z
dc.date.available	2019-02-12T06:53:20Z	-
dc.date.issued	2016	en_US
dc.identifier.other	2016cslkh913	en_US
dc.identifier.uri	http://144.214.8.231/handle/2031/8699	-
dc.description.abstract	The project aims to create a system that visualise and predict typhoon. It supports user prediction so that everyone can express their views about the typhoon. For the visualisation part, google map javascript api is used to support the drawings on the map canvas. For prediction part, one self-defined algorithm is implemented and a standard regression tree prediction is implemented.	en_US
dc.rights	This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.	en_US
dc.rights	Access is restricted to CityU users.	en_US
dc.title	Web-based Geographical Information System for Analyzing and Predicting Typhoon	en_US
dc.contributor.department	Department of Computer Science	en_US
dc.description.supervisor	Supervisor: Dr. Wong, Ka Chun; First Reader: Dr. Nutanong, Sarana; Second Reader: Prof. Li, Qing	en_US
Appears in Collections:	Computer Science - Undergraduate Final Year Projects

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