A high-performance Web Graphics Library-based Automatic Identification System data visualization platform

Graduate Project

Público Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_projects/3t945w85s

Descriptions

Attribute Name	Values
Creator	Chen, Likun
Abstract	The magnitude of global AIS data exceeds the capability of conventional in-browser graphic rendering technologies like Scalable Vector Graphics (SVG) and Canvas. Normal practices of rendering AIS data in browser will either suffer from low frame rates or will have to limit the total number of visual elements. In this project, by generating Web Graphics Library (WebGL) sprites to reduce draw calls, my visualization program is capable of rendering more than 66,000 marine vessels on the screen with high frame rates and time-accurate animations. Furthermore, this program supports on-the-fly map re-projection for both the globe object and rendered AIS vessel data to get the best use of seven different map projections.
License	All rights reserved
Resource Type	Capstone Project
Fecha Disponible	2017-11-14T17:22:17+00:00
Fecha de Emisión	2017-08-29
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Geography
Degree Grantor	Oregon State University
Commencement Year	2017
Advisor	Zhao, Bo
Committee Member	Bailey, Mike Wrathall, David
Academic Affiliation	College of Earth, Ocean, and Atmospheric Sciences
Declaración de derechos	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Replaces	http://hdl.handle.net/1957/61928

Miniatura	Título	Fecha de subida	Visibilidad	Acciones
	ChenLikun2017.pdf	2017-12-04	Público	Descargar