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id sigradi2018_1676
authors Hudson, Roland; Velasco, Rodrigo
year 2018
title Thermal Comfort Clustering; Climate Classification in Colombia
source SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 590-595
summary Our goal is to develop a climatic classification system that extends understanding of human comfort and guides the design of buildings to provide greater thermal comfort to occupants. We propose that using k-means clustering with multivariate climate data a classification system can be defined to objectively represent comfort zones in the tropics. Our study focuses on Colombia, but the approach extends to other countries located in the tropics.
keywords Human comfort; climate classification; clustering
series SIGraDi
email r.hudson@uniandes.edu.co
full text file.pdf (555,516 bytes)
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