Big data visualization

dc.contributor.authorAbeysekara, M
dc.contributor.editorPerera, I
dc.contributor.editorMeedeniya, D
dc.date.accessioned2022-12-09T07:03:17Z
dc.date.available2022-12-09T07:03:17Z
dc.date.issued2016-12
dc.description.abstractComputer based visualizations have been a popular approach that provides accurate and efficient visualization techniques to the users. There is an increasing growth in geographical data with the development of mobile devices. There is a trend to analyze the human behaviors and patterns with respect to the geographical locations in order to take decisions and predictions. This paper presents a Human Movement Visualizer tool to provide populating flow data between regions of a given map. The tool was designed to use with modern web browsers by implementing the complete functionality of the system using client-side JavaScript language. Also the tool can integrate with other visualization tools by introducing component based architecture to the system. Users of this tool can give a Shapefile as a base map and CSV (Comma Separated Values) based data to visualize the geographical data. The main goal of this tool is to provide visualizations for the transport planning in Sri Lanka.en_US
dc.identifier.citation******en_US
dc.identifier.conferenceCSE Symposium 2016en_US
dc.identifier.departmentDepartment of Computer Science and Engineeringen_US
dc.identifier.emailmirage.12@cse.mrt.ac.lken_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 43-48en_US
dc.identifier.placeMoratuwa, Sri Lanka.en_US
dc.identifier.proceedingProceedings of the CSE Symposium 2016en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/19725
dc.identifier.year2016en_US
dc.language.isoenen_US
dc.publisherDepartment of Computer Science and Engineering, University of Moratuwa.en_US
dc.subjectGeographicalen_US
dc.subjectGoolge Mapsen_US
dc.subjectJavaScripten_US
dc.subjectClient-sideen_US
dc.subjectComponent based arcutectureen_US
dc.subjectCSVen_US
dc.subjectShapefileen_US
dc.titleBig data visualizationen_US
dc.typeConference-Full-texten_US

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