A new approach in data visualization to integrate time and space variability of daylighting in the design process

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2008.

Bibliographic Details
Main Author: Yi, Lu, S.M. Massachusetts Institute of Technology
Other Authors: Marilyne Anderson and Takehiko Nagakura.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2008
Subjects:
Online Access:http://hdl.handle.net/1721.1/43754
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author Yi, Lu, S.M. Massachusetts Institute of Technology
author2 Marilyne Anderson and Takehiko Nagakura.
author_facet Marilyne Anderson and Takehiko Nagakura.
Yi, Lu, S.M. Massachusetts Institute of Technology
author_sort Yi, Lu, S.M. Massachusetts Institute of Technology
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description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2008.
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spelling mit-1721.1/437542019-04-10T23:27:29Z A new approach in data visualization to integrate time and space variability of daylighting in the design process Yi, Lu, S.M. Massachusetts Institute of Technology Marilyne Anderson and Takehiko Nagakura. Massachusetts Institute of Technology. Dept. of Architecture. Massachusetts Institute of Technology. Dept. of Architecture. Architecture. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2008. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Includes bibliographical references (p. 124-126). Daylighting design has great impact on the performance and aesthetical quality of a work of architecture but requires many issues to be addressed during the design process. The way existing daylighting tools deliver data to designers is still inefficient. The output display has no quick switch between quantitative and qualitative data and simply considers single moments with fixed weather condition. Designers are interrupted in their design process, and they usually need to make a data synthesis themselves, with the risk of overlooking critical periods or aspects of the design. Therefore, this thesis proposed a new data visualization method to improve this situation and create a more efficient data transmission between the designer and the program to better inform and support the design process. It used some existing research work in progress and developed a functional data visualization platform to simultaneously present sufficient quantitative and qualitative data over the year while linking closely the performance to annual weather variations, sun positions, and surroundings. As a result, designers are able to focus on refining their design while still taking into account the environmental influence over time in a convenient way. The proposed platform will work as an analysis interface for the ongoing LightSolve project at MIT Daylighting Lab. by Lu Yi. S.M. 2008-12-11T16:57:50Z 2008-12-11T16:57:50Z 2008 2008 Thesis http://hdl.handle.net/1721.1/43754 269366372 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 126 p. application/pdf Massachusetts Institute of Technology
spellingShingle Architecture.
Yi, Lu, S.M. Massachusetts Institute of Technology
A new approach in data visualization to integrate time and space variability of daylighting in the design process
title A new approach in data visualization to integrate time and space variability of daylighting in the design process
title_full A new approach in data visualization to integrate time and space variability of daylighting in the design process
title_fullStr A new approach in data visualization to integrate time and space variability of daylighting in the design process
title_full_unstemmed A new approach in data visualization to integrate time and space variability of daylighting in the design process
title_short A new approach in data visualization to integrate time and space variability of daylighting in the design process
title_sort new approach in data visualization to integrate time and space variability of daylighting in the design process
topic Architecture.
url http://hdl.handle.net/1721.1/43754
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