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Using quantile regression to evaluate human thermal climates in China: Working paper series--08-09

Ng, Pin T. and Yan, Y.Y. (2008) Using quantile regression to evaluate human thermal climates in China: Working paper series--08-09. Working Paper. NAU W.A. Franke College of Business.


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Studies have been conducted to examine the spatial variations of human thermal comfort in various countries using different comfort indices. These human thermal climate studies have important implications on human health, migration patterns, retirement decisions, tourism development and energy requirements. Yan (2005) used a clothing insulation (CLO) index to construct average clothing needs in various regions of China. These average CLO maps, however, only provided information on the center of the distribution of climate variation. Using quantile regressions, we estimated index and constructed contour maps for the whole spectrum of the CLO distribution to provide additional information on the spread and variation of the clothing requirements and, hence, a more complete picture of the human comfort of the various regions in China.

Item Type: Monograph (Working Paper)
Publisher’s Statement: Copyright, where appropriate, is held by the author.
ID number or DOI: 08-09
Keywords: Working paper, quantile regression, china, clothing insulation
Subjects: G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography
H Social Sciences > HA Statistics
NAU Depositing Author Academic Status: Faculty/Staff
Department/Unit: The W.A. Franke College of Business
Date Deposited: 18 Oct 2015 00:32
URI: http://openknowledge.nau.edu/id/eprint/1526

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