VTechWorks staff will be away for the Thanksgiving holiday beginning at noon on Wednesday, November 27, through Friday, November 29. We will resume normal operations on Monday, December 2. Thank you for your patience.
 

Towards Support of Visual Analytics for Synthetic Information

Simple item page
dc.contributor.authorAgashe, Aditya Vidyananden
dc.contributor.committeechairMarathe, Madhav Vishnuen
dc.contributor.committeememberFox, Edward A.en
dc.contributor.committeememberBisset, Keith R.en
dc.contributor.committeememberMortveit, Henning S.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2015-09-18T20:00:16Zen
dc.date.available2015-09-18T20:00:16Zen
dc.date.issued2015-09-15en
dc.description.abstractThis thesis describes a scalable system for visualizing and exploring global synthetic populations. The implementation described in this thesis addresses the following existing limitations of the Syn- thetic Information Viewer (SIV): (i) it adds ability to support synthetic populations for the entire globe by resolving data inconsistencies, (ii) introduces opportunities to explore and find patterns in the data, and (iii) allows the addition of new synthetic population centers with minimal effort. We propose the following extensions to the system: (i) Data Registry: an abstraction layer for handling heterogeneity of data across countries, and adding new population centers for visualizations, and (ii) Visual Query Interface: for exploring and analyzing patterns to gain insights. With these additions, our system is capable of visual exploration and querying of heterogeneous, temporal, spatial and social data for 14 countries with a total population of 830 million. Work in this thesis takes a step towards providing visual analytics capability for synthetic information. This system will assist urban planners, public health analysts, and, any individuals interested in socially-coupled systems, by empowering them to make informed decisions through exploration of synthetic information.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:6026en
dc.identifier.urihttp://hdl.handle.net/10919/56565en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectVisual Analyticsen
dc.subjectGIS Systemen
dc.subjectDynamic Queryen
dc.subjectVisual Queryen
dc.titleTowards Support of Visual Analytics for Synthetic Informationen
dc.typeThesisen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Agashe_AV_T_2015.pdf
Size:
58.47 MB
Format:
Adobe Portable Document Format
Download

Collections

Masters Theses