Evaluation of human bioclimates using quantile regression: A China case study

Pin T. Ng, Yuk Yee YAN*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)387-403
Number of pages17
JournalPhysical Geography
Issue number5
Publication statusPublished - 2008

Scopus Subject Areas

  • Environmental Science(all)
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Earth and Planetary Sciences(all)


Dive into the research topics of 'Evaluation of human bioclimates using quantile regression: A China case study'. Together they form a unique fingerprint.

Cite this