Web-based data visualization and optimization methods for applications in urban planning
Name
932126732-MIT.pdf
Description
Full printable version
Size
8.46 MB
Format
Adobe PDF
Checksum (MD5)
22ae1ecc57d4f6a1485d864461811a3c
Author(s)
Manassra, Wesam
Advisor(s)
Sepandar D. Kamvar.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
This thesis deals with the problem of enhancing the understanding of urban information through interactive data-driven visualization and planning tools. In the first part of the thesis, I present a series of web-based data visualizations through maps to provide users with thorough understanding of their living environments, and highlight patterns and trends to raise their awareness of how cities evolve over time. In the second part, I focus on tools that support the planning of interventions on the urban level. Specifically, I tackle the problem of selecting the most optimal locations for placing new entities within the city using a modified k-means algorithm.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 95-96).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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