A nonparametric version of quantile regressions was applied to investigate the human bioclimates in China through the use of the CLO (clothing requirements) index. Quantile regression surface maps produced from the whole spectrum of the CLO distribution provided better insights into the spatial characteristics of clothing requirements and information on the spread and variations of the distribution. Univariate quantile regression curves were constructed to display the temporal variability of CLO at different locations. Hence, this analysis produced a more complete picture of the human bioclimates of the various regions in China.
ASJC Scopus subject areas
- Earth and Planetary Sciences (miscellaneous)
- Earth and Planetary Sciences(all)
- Atmospheric Science
- Environmental Science(all)